KR20220023104A - Apparatus and method for providing comprehensive animal service - Google Patents

Abstract

The present invention relates to a device and a method for providing a comprehensive animal service. The device for providing a comprehensive animal service comprises: a reception part for receiving the input information of a user about the comprehensive list of a plurality of symptoms of an animal; an estimation part for estimating the health state of the animal in consideration of the input information of the user; a recommendation list generating part for generating medical treatment reception information based on the result information of estimating the health state and generating the list of recommended animal hospitals included in a range preset in consideration of the locational information of the user; a waiting information providing part for receiving user input information of selecting at least one among a plurality of animal hospitals included in the list of recommended animal hospitals from the reception part, obtaining medical treatment reception information from an animal hospital terminal and transmitting information on waiting for medical treatment including expected waiting time to a user terminal; and a calculation part for calculating the expected waiting time for a desired time for medical treatment based on the medical treatment reception information. Therefore, provided are a device and a method for providing a comprehensive animal service, wherein information on a near special animal hospital can be provided.

Description

Apparatus and method for providing comprehensive animal service {APPARATUS AND METHOD FOR PROVIDING COMPREHENSIVE ANIMAL SERVICE}

The present application relates to an apparatus and method for providing comprehensive animal services.

Recently, the number of people who support pets is increasing, and the demand for pet support is increasing explosively due to the influence of the nuclear family or the increase of single-person households in society. In particular, animals such as dogs and cats share emotions with humans and form a deep attachment relationship, so they are also called companion animals.

The word 'Pet Fam', a combination of 'Pet' meaning companion animal and 'Family' meaning family, and 'Pet+Economy' reflecting the growth of the companion animal-related market have even appeared. . These results indicate that the market related to companion animals is rapidly increasing.

On the other hand, besides dogs and cats, there are animals such as small animals (guinea pigs, hamsters, species, reptiles, etc.). These are so-called special animals. Even if there is a veterinary hospital near the house, it is inconvenient because it does not provide special animal treatment. Even in an emergency, it is often necessary to visit a hospital and call to see if treatment is possible.

The technology that is the background of the present application is disclosed in Korean Patent Application Laid-Open No. 10-2017-0053962.

The present application is to solve the problems of the prior art, and it is possible to quickly consult with a special animal specialist through remote consultation, and a comprehensive animal service providing device that can provide the location of a special animal hospital close within the distance where the special animal is located and to provide a method.

However, the technical problems to be achieved by the embodiments of the present application are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the comprehensive animal service providing apparatus according to an embodiment of the present application includes a receiving unit that receives user input information for a plurality of symptom lists of a comprehensive animal, and receives the user's input information. A generation unit that predicts the health status of the comprehensive animal in consideration, generates medical treatment reception information based on health status diagnosis prediction result information, and generates a veterinary hospital recommendation list included in a preset range in consideration of the user's location information A recommendation list generating unit, receiving user input information for selecting at least one of a plurality of animal hospital information included in the veterinary hospital recommendation list from the receiving unit, obtaining medical treatment reception status information from the veterinary hospital terminal, and sending the information to the user terminal and a waiting information providing unit for transmitting medical treatment waiting information including an expected waiting time, and a calculating unit calculating the expected waiting time at a desired treatment time based on the medical treatment reception status information.

In addition, the treatment reception status information includes information on the number of waiting animals and treatment type information of each of the waiting animals that have been previously received at a veterinary hospital linked to the veterinary hospital terminal, and the calculating unit is based on the treatment type information. Thus, it is possible to calculate the expected treatment time of each of the waiting animals.

In addition, the generator may predict the health state of the comprehensive animal by applying the user's input information to an artificial neural network-based learning model constructed by inputting a plurality of symptom lists and medical history information.

In addition, the comprehensive animal service providing apparatus, when a medical treatment reception request is received from the user terminal, requests the medical treatment reception to the veterinary hospital terminal, and when the medical treatment reception processing information according to the medical treatment reception request is received from the veterinary hospital terminal, It may further include a reception processing unit for transmitting the treatment reception processing information to the user terminal.

In addition, the comprehensive animal service providing apparatus includes a traffic list generator that generates a list in which a vehicle call is possible in consideration of the user's location information and the type of the comprehensive animal, and a user who selects at least one of vehicle information included in the traffic list It may further include a vehicle call unit that performs a vehicle call based on the input information.

In addition, the recommendation list generation unit generates the veterinary hospital recommendation list including a plurality of veterinary hospital information based on the veterinary hospital review information collected from a plurality of users, but evaluates a plurality of veterinary hospital reviews preset by the user It is possible to assign different weights to the items and generate the veterinary hospital recommendation list based on the calculation results according to the weights.

In addition, the receiving unit receives user input information for selecting a veterinary hospital for authenticating drug prescription information among veterinary hospitals included in the veterinary hospital recommendation list, and the reception processing unit, based on the user input information, a veterinary hospital It is possible to provide the drug prescription information together with the identification information of the pharmacy terminal.

In addition, the comprehensive animal service providing apparatus further comprises a drug delivery order information generating unit that generates drug delivery order information based on the location information of the user and the location information of the pharmacy where the pharmacy terminal provided with the drug prescription information is located, The drug delivery order information generating unit may provide the generated drug delivery order information to the drug delivery service terminal.

According to an embodiment of the present application, in a method for providing a comprehensive animal service, receiving input information from a user for a plurality of symptom lists of a comprehensive animal, and predicting a health state of the comprehensive animal in consideration of the user's input information step, generating medical treatment reception information based on health status diagnosis result information, generating a veterinary hospital recommendation list included in a preset range in consideration of the user's location information, included in the veterinary hospital recommendation list Receiving user input information for selecting at least one of animal hospital information, obtaining medical treatment reception status information from a veterinary hospital terminal, and transmitting treatment waiting information including an expected waiting time to the user terminal, and the treatment reception status It may include calculating the expected waiting time at the desired treatment time based on the information.

In addition, the comprehensive animal service providing method includes the steps of, when a medical treatment reception request is received from the user terminal, requesting medical treatment reception from the veterinary hospital terminal, and when the medical treatment reception processing information according to the medical treatment reception request is received from the veterinary hospital terminal , the method may further include transmitting the medical treatment reception processing information to the user terminal.

In addition, the comprehensive animal service providing method includes the steps of: generating a vehicle call list available in consideration of the user's location information and the type of the comprehensive animal; and user input information for selecting at least one of vehicle information included in the traffic list The method may further include performing a vehicle call based on .

In addition, the comprehensive animal service providing method includes the steps of: receiving a user input for selecting a veterinary hospital that authenticates drug prescription information among veterinary hospitals included in the veterinary hospital recommendation list; and identification information of the hospital selected by the user input; The method may further include providing the drug prescription information to the pharmacy terminal together.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present application. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description.

According to the above-described problem solving means of the present application, there is an effect that can provide help to users who raise special animals by providing animal hospital information that allows comprehensive animal treatment including special animals based on the user's location.

However, the effects obtainable herein are not limited to the above-described effects, and other effects may exist.

1 is a schematic configuration diagram of a system for providing a comprehensive animal service according to an embodiment of the present application.
2 is a diagram illustrating an interface for a special animal hospital list displayed on a user terminal by an apparatus for providing a comprehensive animal service according to an embodiment of the present application.
3 is a diagram exemplarily illustrating a pickup service interface displayed on a user terminal by the apparatus for providing a comprehensive animal service according to an embodiment of the present application.
4 is a view schematically illustrating a companion animal vehicle safety device that may be provided in combination with a vehicle seat according to an embodiment of the present disclosure.
5 is a schematic block diagram of an apparatus for providing a comprehensive animal service according to an embodiment of the present application.
6 is an operation flowchart of a method for providing a comprehensive animal service according to an embodiment of the present application.

Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present application pertains can easily carry out. However, the present application may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is "connected" with another part, it is not only "directly connected" but also "electrically connected" or "indirectly connected" with another element interposed therebetween. "Including cases where

Throughout this specification, when a member is positioned “on”, “on”, “on”, “on”, “under”, “under”, or “under” another member, this means that a member is positioned on the other member. It includes not only the case where they are in contact, but also the case where another member exists between two members.

Throughout this specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Hereinafter, the comprehensive animal service management system according to an embodiment of the present application will be referred to as a service providing system 1 for convenience of description. In addition, the comprehensive animal service management device will be referred to as the service providing device 10 for convenience of description. Meanwhile, the comprehensive animal service management device 10 may be used in combination with the service providing device 10 .

Synthetic animals to be described below include all types of animals, and may include, for example, dogs and cats. Meanwhile, the special animals mentioned below may include turtles, rabbits, hamsters, reptiles, and the like. In addition, the companion animal may mean an animal that the companion (caregiver) is companion (nurture). However, for convenience of explanation, the following description will be described as an example of a turtle of a companion animal (comprehensive animal). In addition, the user mentioned below may mean a companion (caregiver) who raises a companion animal (comprehensive animal).

1 is a schematic configuration diagram of a system for providing a comprehensive animal service according to an embodiment of the present application.

Referring to FIG. 1 , a service providing system 1 may include a service providing device 10 , a user terminal 20 , a veterinary hospital terminal 30 , a pharmacy terminal 40 , and a mobility platform terminal 50 . . However, the configuration of the service providing system 1 is not limited thereto. For example, the service providing system 1 may include a drug delivery service terminal (not shown). In addition, the service providing system 1 may be linked with an external server (not shown) through a network. The external server (not shown) may include a meteorological agency and a traffic information server.

According to an embodiment of the present application, the service providing system 1 is located within a preset range based on the location information obtained from the user terminal 20, but can provide general veterinary hospital information in which special animal treatment is possible. In addition, the service providing system 1 may provide 1:1 consultation content with a general animal specialist capable of special animal treatment. In addition, the service providing system 1 may provide community content by categorizing it according to the type (type) of the special animal. In addition, the service providing system 1 may preferentially recommend and provide an animal hospital that can treat a special animal raised by the user. In addition, the service providing system 1 may provide the estimated required time along with the waiting status information by calculating the expected required time according to the purpose of treatment, the number of animals waiting for treatment, etc. when recommending and providing the veterinary hospital. In addition, the service providing system 1 may transmit a list of pharmacies capable of manufacturing veterinary medicines as well as a veterinary hospital, waiting time for pharmacies, selectable pharmacies, and prescription contents. In addition, the service providing system 1 may provide a list of pharmacies capable of manufacturing veterinary medicine as well as a veterinary hospital, a waiting time for a pharmacy, and prescription contents written in a veterinary hospital to the pharmacy terminal 40 . In addition, the service providing system 1 may provide information such as secondary treatment after treatment of a special animal, a preventable method, and a rehabilitation treatment center. In addition, the service providing system 1 recommends any one of a plurality of comprehensive animal-related contents in consideration of the user's preference, living region, animal-related consumption pattern, etc., and sets the weight of the plurality of comprehensive animal contents differently depending on the user can provide information.

The service providing device 10, the user terminal 20, the veterinary hospital terminal 30, the pharmacy terminal 40, the mobility platform terminal 50, and the drug delivery service terminal (not shown) may communicate with each other through a network. . The network refers to a connection structure in which information exchange is possible between each node, such as terminals and servers. Examples of such a network include a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, and 5G Network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), wifi network, A Bluetooth network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, etc. are included, but are not limited thereto.

The user terminal 20, the veterinary hospital terminal 30, the pharmacy terminal 40, the mobility platform terminal 50, and the drug delivery service terminal (not shown) are, for example, a smartphone (Smartphone), a smart pad (SmartPad) , Tablet PC, etc. and PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, It may be any type of wireless communication device such as a Code Division Multiple Access (CDMA)-2000, W-Code Division Multiple Access (W-CDMA), or Wireless Broadband Internet (Wibro) terminal.

The service providing device 10 in the present application recommends and provides information on veterinary hospitals and pharmacies capable of treating general animals including special animals to any user (eg, a member of an application-based service), and accompanies the general animal Juil that provides information on vehicles that can be boarded, supports processes such as hospitals, pharmacies, and vehicle reservations, and provides application-based services to provide contents that can be used with general animals through the user terminal 20 can For example, the service providing apparatus 10 may be a terminal or a server that provides an application-based service. In addition, the service providing device 10 is a user terminal 20, a veterinary hospital terminal 30, a pharmacy terminal 40, a mobility platform terminal 50 and a drug delivery service terminal (not shown) and data, content, various communication It may include all kinds of servers, terminals, or devices that transmit/receive signals through a network and have functions of data storage and processing.

For example, the service providing device 10 may provide comprehensive animal related content. The user terminal 20, the veterinary hospital terminal 30, the pharmacy terminal 40, the mobility platform terminal 50 and the drug delivery service terminal (not shown) download and install the application provided by the service providing device 10, and , a plurality of comprehensive animal-related contents may be provided through the installed application. Also, the service providing device 10 may link services of a plurality of comprehensive animal related contents. For example, the service providing device 10 may link to a purchase agency service when using reservation contents for a lodging establishment that can be accompanied by a general animal. In addition, the service providing device 10 may manage member information of a user who wants to use the comprehensive animal-related content.

According to an embodiment of the present application, the user terminal 20 may be a terminal possessed by a subject corresponding to a guardian who breeds (owns) a comprehensive animal. The user terminal 20 may provide user information of a user who uses the comprehensive animal service content to the service providing apparatus 10 . The service providing apparatus 10 may provide a comprehensive animal service related menu to the user terminal 20 . For example, a comprehensive animal service related menu may be provided through an application provided by the service providing device 10 . Also, the user terminal 20 may receive and output a plurality of questionnaire items from the service providing apparatus 10 , and provide responses to the plurality of questionnaire items to the service providing apparatus 10 as user input information.

According to an embodiment of the present application, the veterinary hospital terminal 30 holds and manages identification information, medical information, etc. of a plurality of general animals that have visited the veterinary hospital, and receives and manages medical treatment for a predetermined general animal and treatment reservation procedure, etc. It may be a terminal or server owned by the veterinary hospital to process the.

According to an embodiment of the present application, the pharmacy terminal 40 holds and manages the identification information, medical information, prescription information, etc. of a plurality of general animals who visited a pharmacy handling general animal medicines, and manages them in an integrated manner, and provides them to a predetermined general animal. It may be a terminal or server owned by the pharmacy to process a prescription reception procedure, etc.

According to an embodiment of the present application, the mobility platform terminal 50 may be a terminal or server owned by a car rental company, a taxi company, etc., in which a general animal can ride together. The service providing apparatus 10 may provide a comprehensive animal-related vehicle reservation related menu to the mobility platform terminal 50 . The mobility platform terminal 50 may receive vehicle reservation information from the service providing device 10 and may perform vehicle call reservation.

According to an embodiment of the present application, a plurality of comprehensive animal-related contents are main contents, consultation contents with a specialist, hospital finding contents, maps, contents, community contents, my page contents, membership registration contents, accommodation reservation contents, travel goods It may include, but is not limited to, kit sales content, dog stroller rental content, travel destination recommendation content, vehicle reservation content, chatting content, and the like.

As an example, the contents of consultation with a specialist include an interface including an item for selecting the type of one's companion animal (comprehensive animal), an interface including an item for selecting a special specialist or an artificial intelligence special specialist, a companion animal It may include an information input interface, a consultation interface with a special animal specialist, a posting interface, and a hospital location information interface for the specialist.

In addition, the hospital finding content includes an interface including an item for selecting the type of a special animal (comprehensive animal), based on location information received from the user terminal 20, or a list of veterinary hospitals listed in order of proximity from a location specified by the user. It may include an interface including an interface, a consultation interface with a selected veterinary hospital specialist, an interface related to veterinary hospital treatment hours, reviews, and reservations.

In addition, the map content includes an veterinary hospital search (find) interface, an estimated arrival time interface from the location information received from the user terminal 20 or a user-specified location to the veterinary hospital, a call service interface, a map guide interface, etc. can do.

In addition, community content includes an interface including real-time popular articles (posts) related to general animals, user reviews interface related to special animal comprehensive kits (eg, feed, toys), posts related to selected special animals, posts related to posts It may include interfaces such as likes, comments, tag information, and scraps.

In addition, the contents of My Page include pet information, hospital reservation revision items, consultation with a specialist (veterinarian) and call service history check items, past medical records, my writings, scraps, likes items, and frequent hospital settings. items, and the like.

In addition, the membership registration content may include items for inputting the companion's name (nickname), age, linked account, and companion animal information.

According to an embodiment of the present application, the service providing apparatus 10 may receive the user's input information for a plurality of symptom lists of the comprehensive animal. The service providing apparatus 10 may provide a questionnaire item including a plurality of symptom lists to the user terminal 20 in order to check the health abnormality of the general animal. The plurality of symptom list items may include items such as eye diseases, neurological diseases, metabolic diseases, species-specific diseases, and muscle and bone diseases. In other words, the service providing apparatus 10 may provide a plurality of symptom lists to the user terminal 20 to check the health abnormality of the general animal, and receive user input information as a response thereto.

Meanwhile, the service providing apparatus 10 may collect health state information of the companion animal from a wearable device for companion animals (not shown). The service providing apparatus 10 may collect health state information collected from a wearable device for companion animals (not shown) through a network. The health status information collected from the wearable device for companion animals (not shown) may include, but is not limited to, body temperature, blood pressure, heart rate, pulse, electrocardiogram, respiration volume, blood concentration, hospital visit history information, and the like. Hospital visit histories are classified (divisions) by the date and time of visits visited by companion animals. may include

For example, a wearable device for companion animals (not shown) may be worn on a body (eg, neck) of an animal to collect status information of the companion animal. For example, a wearable device for companion animals (not shown) may include a main unit and a connection unit. The main unit (not shown) may include a plurality of sensors, and may collect status information of the companion animal from the plurality of sensors. Also, the main unit (not shown) may store animal identification information for identifying the animal. For example, the identification information of the animal may include a pet registration number, owner name, owner contact information, owner address, animal name, color, breed, date of birth, gender, whether neutering, owner terminal identification number, and the like. On the other hand, the connection part (not shown) extends from the main unit (not shown), and both ends are interconnected so that the main unit (not shown) can be worn on the neck of the companion animal.

In addition, the main unit (not shown) may include an LED unit (not shown) including a plurality of light sources. The LED unit (not shown) may emit different light in response to a specific situation. The plurality of light sources may emit different light. The LED unit (not shown) may emit different lights based on a control signal from a controller (not shown). Illustratively, the controller (not shown) may control the driving of the LED unit (not shown). For example, when abnormal information is included in the biometric information of the animal, the controller (not shown) may control the LED unit (not shown) to emit light from the first light source. The biometric information of the animal includes at least one of heart rate information, respiratory rate information, blood pressure information, pulse information, and body temperature information, and the controller (not shown) may include abnormal information in the biometric information, for example, heart rate information above the maximum heart rate, When heart rate information of the lowest heart rate or less is included, the first light source (eg, a light source of orange light) may be controlled to emit light. Illustratively, the control unit (not shown) collects animal biometric information and drives the LED unit to provide notification information to the user when there is an abnormality in abnormal information (eg, heart rate, respiration rate, body temperature, etc.) You can take your pet to the hospital and provide information so that they can be treated.

As another example, the plurality of sensors may be provided to collect state information including biometric information of the animal and movement information of the animal. The plurality of sensors may include an acceleration sensor, a G-sensor, a 3-axis acceleration sensor, a load cell, a 6-axis motion sensor, an EMG sensor, a temperature sensor, an optical sensor, and the like. The biosignal may include at least one of heart rate information, respiratory rate information, blood pressure information, pulse information, and body temperature information. In addition, the identification information may include a pet registration number, owner name, owner contact information, owner address, animal name, color, breed, date of birth, gender, whether or not neutering, owner terminal identification number, and the like. In addition, the plurality of sensors may measure (collect) an animal's movement distance, sleep cycle, activity amount, exercise amount, sleep time, calories consumed, and the like.

In addition, the service providing apparatus 10 may obtain identification information of the general animal (companion animal) from the user terminal 20 . For example, the plurality of input items for acquiring identification information of a companion animal may include a photograph of the companion animal, name, type of companion animal, gender, whether or not to be neutered, date of birth, weight, companion animal breed items, and the like. Also, the service providing apparatus 10 may receive identification information of a wearable device for companion animals (not shown). The service providing apparatus 10 may generate companion animal identification information based on first user input information that is a response to a plurality of input items. For example, the service providing device 10 responds to a plurality of input items from the user terminal 20, name: poppy, companion animal type: puppy, gender: female, neutered: yes, date of birth: January 2020 02, Weight: 3kg, Pet breed: Mix information can be received. The service providing apparatus 10 may generate identification information of the companion animal based on responses to a plurality of input items provided from the user terminal 20 .

At this time, also, the service providing apparatus 10 stores the identification information and user information of the companion animal received from the user terminal 20 in association with the identification information of the companion animal wearable device (not shown) worn by the companion animal. can The service providing apparatus 10 collects status information of companion animals collected from a wearable device for companion animals (not shown) at predetermined time intervals (eg, 1 second) based on ID information included in user information. can do. The service providing apparatus 10 stores the identification information of the companion animal, user information, and the identification information of the wearable device for companion animals (not shown) in association, thereby analyzing status information collected from the wearable device for companion animals (not shown). When health abnormality information appears as a result, notification information can be provided more quickly

According to an embodiment of the present application, the service providing apparatus 10 may predict the health state of the general animal in consideration of the user's input information. For example, the service providing apparatus 10 may predict the health state of a comprehensive animal by applying user input information to an artificial neural network-based learning model. More specifically, the service providing apparatus 10 may predict the health state of a comprehensive animal by applying the user's input information to an artificial neural network-based learning model constructed by inputting a plurality of symptom lists and medical history information. For example, the service providing apparatus 10 may receive user input information for selecting an item corresponding to a runny nose, cough, and mild fever from among a plurality of symptom lists from the user terminal 20 . The service providing apparatus 10 may predict the health state (eg, cold) of the general animal (companion animal) by applying items corresponding to the runny nose, cough, and mild fever, which are the user's input information, to the learning model.

According to an embodiment of the present application, the above-described learning model may be a learning model constructed using a clustering algorithm based on unsupervised learning, but is not limited thereto. For reference, the service providing device 10 provides a user input provided by the user in response to the symptoms of the comprehensive animal based on matching information of the medical history information diagnosed by the veterinarian in response to any one symptom of the plurality of symptom lists. Considering the information, it is possible to predict the health status of the overall animal. The service providing device 10 receives the symptoms before the user visits the animal hospital like a general animal (companion animal) and applies it to an artificial neural network-based learning model before veterinarian diagnoses the general animal (companion animal). By predicting the health condition, it is possible to recommend a veterinarian or veterinary hospital suitable for the disease.

Unsupervised learning refers to an algorithm that learns while analyzing or clustering data itself, rather than constructing learning data. The service providing apparatus 10 may cluster and calculate the health status information and activity information prediction result of the companion animal and the diagnosis result diagnosed by any one of a plurality of disease lists based on the clustering algorithm.

For example, a logistic regression algorithm, a random forest algorithm, a support vector machine (SVM) algorithm, a decision-making algorithm, and a clustering algorithm may be used as a clustering algorithm for unsupervised learning. In addition, the service providing device 10, in addition to the above-described algorithms, Extra Tree Algorithm, XG Boost Algorithm and Deep Learning Algorithm, K-means Clustering Algorithm, SOM (Self-Organizing-Maps) Algorithm, EM & Canopy Algorithm through clustering algorithms such as Unsupervised learning can be performed. The Random Forest algorithm is an algorithm that consists of a forest of numerous decision trees and averages each prediction result into one result variable, and the SVM algorithm determines the classification to which data belongs by classifying the largest boundary in the data distribution space. It is a non-stochastic algorithm. The Extra Tree algorithm is similar to the random forest, but it is faster than the random forest. The XGBoost algorithm is a boost algorithm that applies the result of the XGBoost tree to the next tree if the random forest tree is independent. The deep learning algorithm is an algorithm that learns by controlling the influence of variable patterns on the results with weights based on a multi-layered neural network. In addition, the K-means clustering algorithm is a traditional classification technique that iteratively subdivides the target group into K clusters based on the average value (similarity) of the distance. It is a learning and clustering technique. In addition, the EMI & Canopy algorithm refers to a method of clustering by updating parameter values through an iterative process starting with the maximum possibility with a given initial value.

According to another embodiment of the present application, the service providing device 10 is a health state including biometric information (eg, respiration, pulse, body temperature, etc.) and hospital visit history information of the companion animal acquired at predetermined time intervals By applying the information to an AI-based learning model, it is possible to determine whether there is an abnormality in health. For example, in the case of the first companion animal, the service providing apparatus 10 has no health problem in the hospital visit history information, but the companion animal obtained from a wearable device for companion animals (not shown) at predetermined time intervals. When it is determined that any one of the plurality of biometric information is not in a good state, it may be determined that an abnormality has occurred in the health of the first companion animal. On the other hand, in the case of the second companion animal, when the medical information indicating that the heart is congenitally weak is included in the hospital visit history information for the second companion animal, the service providing device 10 provides information about heart rate information among the biometric information of the companion animal obtained at predetermined time intervals. It is possible to judge whether the health of the second companion animal is abnormal by different standards. That is, the service providing apparatus 10 may determine whether there is a health abnormality by applying the health history information and current health state information of the companion animal to the AI-based learning model. As an example, the learning model may be a deep learning neural network, but is not limited thereto, and various neural network systems developed or developed in the future may be applied.

2 is a diagram illustrating an interface for a special animal hospital list displayed on a user terminal by an apparatus for providing a comprehensive animal service according to an embodiment of the present application. Referring to FIG. 2A , the service providing apparatus 10 may generate a veterinary hospital recommendation list and provide it to the user terminal 20 . The veterinary hospital recommendation list may be generated in consideration of the type of general animal (companion animal), location information of the user, whether the veterinary hospital is operated, and the like. As an example, the service providing apparatus 10 may obtain identification information of a general animal (companion animal) from the user terminal 20 . The service providing device 10 may generate a veterinary hospital recommendation list in consideration of the type information of the general animal (companion animal) included in the identification information. In other words, the service providing device 10 may generate a veterinary hospital recommendation list in which the comprehensive animal (companion animal) can be treated in consideration of the identification information of the comprehensive animal (companion animal). For example, the service providing apparatus 10 may receive information corresponding to the turtle as type information of the comprehensive animal (companion animal) included in the identification information of the comprehensive animal (companion animal) from the user terminal 20 . The service providing device 10 may generate a list of animal hospitals in which the tortoise is included in the treatment target, that is, a list of animal hospitals in which a veterinarian capable of treating the turtle exists. In this case, the service providing device 10 may generate the first animal hospital list in consideration of only the type information of the general animal (companion animal).

According to an embodiment of the present application, the service providing apparatus 10 may generate a veterinary hospital recommendation list included in a preset range in consideration of the user's location information. Here, the veterinary hospital recommendation list may include information on a veterinary hospital capable of treating general animals (companions) and pharmacies capable of providing medicines necessary for general animals (companions). That is, the veterinary hospital recommendation list may include veterinary hospital and pharmacy information. As an example, the service providing device 10 filters the list of veterinary hospitals included in a preset range in consideration of the user's location information in the first veterinary hospital list generated in consideration of only the type information of the general animal (companion animal). Thus, the second animal hospital recommendation list can be created. That is, the service providing apparatus 10 may firstly generate a veterinary hospital list in consideration of only the type information of a general animal (companion animal), and secondarily create a veterinary hospital list in consideration of the user's location information. . For example, the preset range may be a distance that can be moved within one hour by car based on the user's current location information.

Also, the service providing device 10 may generate a veterinary hospital recommendation list including a plurality of veterinary hospital information based on the veterinary hospital review information collected from a plurality of users. In this case, different weights may be given in response to a plurality of evaluation items of veterinary hospitals set in advance by the user, and a veterinary hospital recommendation list may be generated based on the calculation results according to the weights. A plurality of veterinary hospital review evaluation items set by the user in advance include: rating, number of likes, number of reviews, keyword information included in review information, gender, age, place of residence, user preference items, comprehensive animal identification information (for example, , type, breed, inclination, gender, age, etc.). The user may select an evaluation item to be given the highest weight. For example, the service providing apparatus 10 may assign different weights to a plurality of veterinary hospital review evaluation items preset by the user, and generate a veterinary hospital recommendation list. For example, the service providing apparatus 10 assigns a first weight to the comprehensive animal identification information from the user terminal 20, gives a second weight to the place of purchase, and provides a third weight to the keyword information included in the review information. It is possible to receive user input information to be assigned. The service providing device 10 gives a first weight to the comprehensive animal identification information based on the user input information, gives a second weight to the place of purchase, and gives a third weight to the keyword information included in the review information. You can create a veterinary hospital recommendation list. In other words, the service providing device 10 can generate a tertiary veterinary hospital recommendation list by giving a score to the veterinary hospital review information corresponding to the item that the user wants to give weight, and giving priority to the veterinary hospital with the highest total. there is.

According to an embodiment of the present application, the service providing device 10 may collect review information (text information) written by a user who used the veterinary hospital. For example, the service providing apparatus 10 may analyze text included in review information (review information), derive a specific keyword, and quantify items associated with the keyword included in the review information. The service providing device 10 extracts a pronoun (noun) from the text included in the review information, quantifies items related to the keyword included in the review information through matching preset keywords (words), and assigns weights. there is. In addition, the service providing device 10 performs text analysis by inputting new review information (review information) to a learning model built through artificial intelligence learning that uses text data included in the previously collected review information as input. can do. Here, the learning model may be one built on the basis of a deep learning neural network, but is not limited thereto, and various neural network systems that have been developed or developed in the future may be applied.

For example, the service providing apparatus 10 may evaluate the first animal hospital by analyzing the review information (review information) about the first animal hospital. The service providing device 10 may evaluate the veterinary hospital by matching the text analysis result described in the review information (review information) for the first animal hospital with the keyword (word) included in the review dictionary. For example, the review dictionary may include a plurality of good review texts and a plurality of bad review texts. I like the good review text, I want to use it again, it's kind. and the like. On the other hand, I don't want to come back with bad reviews. It's unkind. and the like. That is, the service providing device 10 analyzes the text of the postscript posted by a plurality of users to the first animal hospital, assigns a weight to the good review text, calculates a plurality of weighted animal hospital information, A veterinary hospital recommendation list can be created by giving priority to the highest score. That is, the service providing device 10 generates and provides a veterinary hospital recommendation list to the user in consideration of the result of analyzing the use information left by other users after using the veterinary hospital, thereby providing more reliable information. there is.

In other words, the service providing device 10 generates a first veterinary hospital list based on the type of general animal (companion animal), and considers the user's location information in the generated first veterinary hospital list, and the second veterinary hospital list , and in the generated second veterinary hospital list, a final veterinary hospital recommendation list may be generated in consideration of a plurality of veterinary hospital review evaluation items preset by the user. The service providing apparatus 10 may generate a veterinary hospital recommendation list optimized for the user in consideration of a plurality of pieces of information.

Also, the service providing apparatus 10 may provide the generated veterinary hospital recommendation list to the user terminal 20 . The user terminal 20 outputs a veterinary hospital recommendation list, and the user may select any one veterinary hospital or pharmacy to make a reservation from among a plurality of veterinary hospital and pharmacy information included in the veterinary hospital recommendation list. The service providing apparatus 10 may provide the user's input information to the veterinary hospital terminal 30 or the pharmacy terminal 40 when input information of a user who has selected a veterinary hospital or pharmacy is received.

According to an embodiment of the present application, the service providing apparatus 10 may receive user input information for selecting at least one of a plurality of veterinary hospital information included in the veterinary hospital recommendation list. In addition, the service providing apparatus 10 may provide a list of veterinary hospital recommendations on a map (map) as shown in FIG. 2 (b). The service providing apparatus 10 may receive user input information for selecting any one of the animal hospitals displayed on a map (map). The service providing apparatus 10 may obtain medical treatment reception status information from the veterinary hospital terminal 30 when receiving user input information for selecting at least one of a plurality of veterinary hospital information. Here, the medical treatment reception status information includes information on the number of companion animals previously received at the veterinary hospital linked to the veterinary hospital terminal 30 and treatment type information of each companion animal waiting for the veterinary hospital linked with the veterinary hospital terminal 30 can do. According to an embodiment of the present application, the treatment type information of the companion animal may include identification information of the companion animal, disease history information, visit history information, detailed symptom information provided when receiving treatment for the companion animal, and the like. . The treatment type information of the companion animal may be used as learning data when generating a treatment time prediction algorithm, which will be described later, or may be input data applied to the generated treatment time prediction algorithm.

The service providing apparatus 10 may transmit medical treatment waiting information including an expected waiting time to the user terminal 20 based on the medical treatment reception status information received from the veterinary hospital terminal 30 . As an example, the service providing apparatus 10 may request medical treatment from the veterinary hospital terminal 30 when a medical treatment reception request is received from the user terminal 20 . For example, the service providing apparatus 10 may receive user input information including a desired medical treatment time from the user terminal 20 . The service providing apparatus 10 may provide the desired treatment time and treatment request information to the veterinary hospital terminal 30 .

Also, the service providing apparatus 10 may calculate the expected waiting time at the desired treatment time based on the treatment reception status information. As an example, the service providing apparatus 10 may calculate an expected medical treatment time of each waiting companion animal based on the treatment type information of the waiting companion animals. Also, the service providing apparatus 10 may calculate the expected waiting time at the user's desired treatment time of the user terminal 20 based on a result of adding up the expected treatment time of each waiting companion animal.

According to an embodiment of the present application, the service providing apparatus 10 calculates the expected medical treatment time of each waiting person based on the medical treatment time prediction algorithm learned based on the treatment type information collected from a plurality of waiting companion animals, Furthermore, the estimated waiting time at the user's desired treatment time of the user terminal 20 may be calculated by adding up the expected treatment time of each waiting companion animal.

According to an embodiment of the present application, the aforementioned treatment time prediction algorithm may be generated through artificial intelligence-based learning such as machine learning and deep learning. For example, the treatment time prediction algorithm uses the treatment type information collected from a plurality of waiters (patients) as learning data (learning parameters), and labels the actual treatment time information collected for each of the plurality of waiters (patients). (Label) It may be generated by a supervised learning-based learning method with data. For reference, supervised learning may refer to a method of learning in a state in which a label, which is explicit correct answer information for data, is given. In the present application, various supervised learning algorithm models previously known or developed in the future may be applied.

Also, the service providing apparatus 10 may provide medical treatment waiting information including an expected waiting time to the user terminal 20 . The expected waiting time may include information on the expected treatment time of each waiting companion animal based on the treatment type information. That is, the service providing apparatus 10 may calculate the expected waiting time at the user's desired treatment time provided from the user terminal 20 by summing up the expected treatment time of each waiting companion animal.

Also, when a medical treatment reception process according to a medical treatment reception request is received from the veterinary hospital terminal 30 , the service providing apparatus 10 may transmit medical treatment reception processing information to the user terminal 20 . The request for medical treatment may include identification information of the companion animal and detailed symptom information. In other words, the medical treatment reception request may include health status information collected from a wearable device for companion animals (not shown) and a result of predicting health abnormalities of the companion animal.

In addition, when the service providing device 10 transmits the medical treatment reception request to the veterinary hospital terminal 30 , if there is identification information of the companion animal secured in advance from the user terminal 20 , the previously secured identification of the companion animal The information may be transmitted to the veterinary hospital terminal 30 . According to the embodiment of the present application, whether or not to transmit the identification information of the companion animal secured in advance to the veterinary hospital terminal 30 when requesting medical treatment is based on a selection input for utilization of the existing companion animal identification information applied to the user terminal 20 may be determined.

The veterinary hospital terminal 30 may process a medical treatment reception for the user of the user terminal 20 based on the medical treatment reception requested from the service providing device 10 , and may generate medical treatment reception processing information. Also, the service providing apparatus 10 may receive medical treatment reception processing information according to the user's medical treatment reception request from the veterinary hospital terminal 30 , and transmit the received medical treatment reception processing information to the veterinary hospital terminal 30 .

That is, the service providing device 10 provides the expected waiting time information before the user directly visits the veterinary hospital, and provides a reception smart order service that can remotely pre-process medical treatment before arriving at the hospital. can

In addition, the service providing apparatus 10 may provide drug prescription information to the pharmacy terminal 40 along with identification information of the veterinary hospital based on user input information. The pharmacy terminal 40 may be a terminal of a pharmacy handling medicines for companion animals. The service providing device 10 provides health status information of the companion animal to the veterinary hospital terminal 30 when it is possible to treat the companion animal with medication or application drugs without going to the veterinary hospital, and the veterinary hospital terminal 30 is Medicine prescription information of the companion animal may be provided to the pharmacy terminal 40 .

Also, the service providing apparatus 10 may generate drug delivery order information based on the location information of the user and the location information of the pharmacy in which the pharmacy terminal 40 provided with the drug prescription information is located. The service providing apparatus 10 may provide drug delivery order information to a drug delivery service terminal (not shown). For example, the drug delivery service terminal (not shown) may be a delivery company terminal.

3 is a diagram exemplarily illustrating a pickup service interface displayed on a user terminal by the apparatus for providing a comprehensive animal service according to an embodiment of the present application.

The service providing apparatus 10 may generate a traffic list in which a vehicle call is possible in consideration of the user's location information and the type of the general animal. The type of aggregate animal may include information on the type and size of the aggregate animal. The service providing apparatus 10 may generate a list to include vehicles capable of riding a general animal (companion animal) among large vehicles, medium-sized vehicles, and small vehicles in consideration of the size information of the general animal.

According to an embodiment of the present application, the service providing apparatus 10 may generate a vehicle call-able traffic list in consideration of the user's location information and the veterinary hospital location information. The service providing apparatus 10 may receive information about a vehicle capable of riding with a companion animal from the mobility platform terminal 50 . The service providing apparatus 10 may generate a traffic list in which a vehicle call is possible in consideration of the user's location information, the veterinary hospital location information, and the current location information of the vehicle. The mobility platform terminal 50 may be a terminal of a manager that provides transportation such as a taxi or a rental car (eg, ride).

The service providing apparatus 10 may generate a traffic list by giving priority to a vehicle located closest to the user's location information. Also, the service providing apparatus 10 may generate a traffic list in which a vehicle call is possible based on the type of companion animal. For example, when the companion animal accompanying the user is a large dog, it is difficult to board the small car, so the service providing apparatus 10 obtains size information of the companion animal from the user terminal 20 to determine the size of the companion animal. In consideration of this, it is possible to create a traffic list in which vehicles such as medium-sized vehicles and large-sized vehicles can be called. That is, the service providing apparatus 10 may generate the traffic list in consideration of the user's current location information, the location information of the veterinary hospital, the vehicle information, and the companion animal information. The service providing device 10 provides a transportation list including vehicle information that can be ridden with companion animals, so it is difficult to travel long distances because there is no private vehicle, and users who are burdened with public transportation when accompanied by a dog, users who are burdened with public transportation, take a taxi It can alleviate the difficulties for users who feel uncomfortable due to rejection.

For example, referring to FIG. 3 , the service providing apparatus 10 may perform a vehicle call based on user input information of selecting at least one of vehicle information included in the traffic list. The service providing apparatus 10 may request a vehicle call from the mobility platform terminal 50 based on user input information. The service providing apparatus 10 may provide the user's current location and estimated fare to the destination, payment method information, and the like, based on user input information that selects at least one of vehicle information included in the traffic list. When the service providing apparatus 10 requests a vehicle call to the mobility platform terminal 50 based on user input information and the mobility platform terminal 50 approves the call, the matched vehicle takes to the location where the user is located. Time information and location movement information may be provided. In addition, the service providing apparatus 10 may provide movement route information in consideration of the user's location information and the veterinary hospital location information received from the user terminal 20 . The movement route information may include time, distance, movement means, and the like. The service providing apparatus 10 provides a movement route through a map, so that the user can be provided with more accurate information.

Also, the service providing apparatus 10 may regenerate the expected arrival time based on traffic information provided from an external server (not shown). Also, the service providing apparatus 10 may regenerate the estimated arrival time in consideration of weather information provided from an external server (not shown). In other words, the service providing apparatus 10 regenerates information that can be changed due to external environmental factors and provides it to the user terminal 20 so that the user can receive more accurate information.

Although not shown in the drawings, the service providing apparatus 10 may provide a corresponding content-related interface based on user input information for selecting a content for any one of a plurality of content.

For example, the service providing apparatus 10 may receive user input information for selecting accommodation reservation content from the user terminal 20 . The service providing apparatus 10 may provide a plurality of questionnaire item interfaces for obtaining the user's travel preference information to the user terminal 20 in order to provide accommodation reservation contents. The plurality of questionnaire items may include categories of preferred travel areas, travel styles, and preferred accommodation facilities. In addition, the questionnaire items included in the travel area may include regional items in Korea such as Seoul, Gyeonggi, Busan, and Incheon. Also, the travel style item may include a plurality of style items such as quiet, active, leisurely, swimming, and the like. In addition, the preferred lodging facility item may include a plurality of lodging facility items such as a hotel, a motel, a pension, and a resort. However, the interface of the plurality of questionnaire items is not limited thereto.

Also, the service providing apparatus 10 may generate a user preferred lodging list based on first user input information that is a response to a plurality of questionnaire items provided from the user terminal 20 . For example, the service providing apparatus 10 may receive user input information for selecting Seoul, Busan, Gwangju, and Jeju in response to a survey item included in a preferred travel area among a plurality of survey items from the user terminal 20 . In addition, the service providing apparatus 10 may receive the user input information for selecting a quiet, leisurely, leisurely resort area in response to the questionnaire included in the travel style from the user terminal 20 . Also, the service providing apparatus 10 may receive user input information for selecting a hotel or a pension in response to a questionnaire included in a preferred accommodation facility from the user terminal 20 . The service providing device 10 is a company of hotels and pensions among lodging facilities in Seoul, Busan, Gwangju, and Jeju based on the first user input information that is a response to a plurality of questionnaire items provided from the user terminal 20, A user's preferred lodging list may be generated to include information about accommodation facilities in a quiet, relaxed, leisurely, and resort-like feel. The service providing apparatus 10 may generate a user preferred accommodation list based on the first user input information, and may generate a final accommodation recommendation list in consideration of the state information of the companion animal and the user information.

In addition, the service providing apparatus 10 generates an accommodation recommendation list by inputting the state information and user information of the companion animal to the unsupervised learning-based pattern calculation model built by inputting a plurality of user information and accommodation use information. can Unsupervised learning refers to an algorithm that learns while analyzing or clustering data itself, rather than constructing learning data. The service providing apparatus 10 may predict the user's preferred accommodation by inputting the state information and user information of the companion animal to the pattern calculation model. In other words, the service providing apparatus 10 builds a pattern calculation model by inputting a plurality of user information and accommodation use information actually used by the corresponding user as inputs, and inputs the state information and user information of the companion animal into the pattern calculation model to input the user information into the pattern calculation model. A lodging recommendation list can be created based on lodging information used by other users with similar tendencies to .

According to an embodiment of the present disclosure, the service providing device 10 may generate a lodging recommendation list including a plurality of lodging information in which companion animals can be accommodated further based on lodging review information collected from a plurality of users. . The service providing device 10 may collect information on accommodation reviews written by a user who has used the accommodation. For example, the service providing apparatus 10 may analyze text included in review information (review information), derive a specific keyword, and quantify items associated with the keyword included in the review information. The service providing device 10 extracts a pronoun (noun) from the text included in the review information, quantifies items related to the keyword included in the review information through matching preset keywords (words), and assigns weights. there is. In addition, the service providing apparatus 10 may perform text analysis by inputting new review information to a learning model built through artificial intelligence learning in which text data included in previously collected review information is input. Here, the learning model may be one built on the basis of a deep learning neural network, but is not limited thereto, and various neural network systems that have been developed or developed in the future may be applied.

For example, the service providing apparatus 10 may evaluate the first accommodation establishment by analyzing review information (review information) on the first accommodation establishment. The service providing apparatus 10 may evaluate the corresponding accommodation establishment by matching the text analysis result written in the review information (review information) for the first accommodation establishment with the keyword (word) included in the review dictionary. For example, the review dictionary may include a plurality of good review texts and a plurality of bad review texts. Good review text is good, I want to use it again, it is clean. It's quiet. and the like. On the other hand, I don't want to come back with bad reviews. worms come out. It's noisy. It's dirty. and the like. That is, the service providing device 10 analyzes the text of a review post posted by a plurality of users to the first accommodation establishment, assigns a weight to the good review text, calculates a plurality of weighted accommodation information, and scores A list of lodging recommendations may be created by giving priority to the highest.

According to an embodiment of the present application, the service providing apparatus 10 may provide the companion animal walking route recommendation content to the user terminal 20 . For example, the companion animal walking path recommendation content may include chatting content and walking matching reservation content. In addition, the companion animal walking route recommendation content may include content for collecting information on companion animals, walking route recommendation content, convenience facility provision content, and the like. For example, the walk matching reservation content may be content that provides a service for matching the companion animal with an agent to take a walk when the guardian (user) of the companion animal cannot take a walk directly. Also, the companion animal walking path recommendation content may include agent evaluation content. The agent evaluation content may include items for evaluating the companion animal and the agent to take a walk.

In addition, the companion animal walking route recommendation content may support mutual communication between a plurality of users who use the companion animal walking route recommendation content. For example, a plurality of users who download and use companion animal walking route recommendation content to the user terminal 20 use chat content and walking matching reservation content provided by the companion animal walking route recommendation content to communicate between a plurality of users. communication can be carried out.

Also, the service providing apparatus 10 may provide items for collecting information on companion animals to the user terminal 20 . Items for collecting information on companion animals may include place of birth, date of birth, birth status, breed, weight, gender, neutering, pregnancy status, companion animal registration number, companion animal name, guardian number, etc. The user may provide information on the companion animal through the user terminal 20 based on items for collecting information on the companion animal provided by the service providing device 10 .

In addition, the service providing apparatus 10 may provide information of a plurality of users existing within a preset radius based on the location information of the first user provided from the user terminal 20 when receiving the request for a walk by proxy. . For example, when the service providing apparatus 10 receives a surrogate walk request from the user terminal 20, a plurality of users existing within a preset radius based on the location information of the first user terminal selecting the surrogate walk request information can be provided. The preset radius may be an area within a preset radius centered on a location corresponding to the location information provided from the first user terminal. Exemplarily, the preset radius may be in the form of a circle having a constant radius such as 100m, 300m, or 500m with a center on the location corresponding to the location information of the first user. In addition, the information of the plurality of users may be information including user information, the breed of the companion animal, the registration number of the companion animal, the name of the companion animal, and the like. The service providing apparatus 10 may provide information of a plurality of users, so that, when the guardian (user) of the companion animal cannot take a walk directly, it is possible to directly select an agent to take a walk with the companion animal.

In addition, when the service providing device 10 receives a request for a surrogate walk, that is, when the user input information received from the user terminal 20 is a walk matching reservation content, information of a user who can perform a plurality of surrogate walks can provide In this case, the service providing device 10 may provide information on a user who can perform a proxy walk, but preferentially provide information about a user with a high rating (preference) score. The rating (preference) score may be generated based on information collected from the agent rating content item. A rating (preference) score may be generated based on a score provided by a user who has requested a proxy walk from the corresponding agent.

In addition, the service providing apparatus 10 may grant a predetermined reward to the agent when a walk matching reservation is made. The service providing apparatus 10 may grant a reward requested for payment by the user who requested matching to the agent, and reflect the reward in the rating (preference) score.

In addition, the service providing apparatus 10 may provide a plurality of questionnaire item interfaces for obtaining the user's travel preference information to the user terminal 20 . The plurality of questionnaire items may include categories of preferred travel areas, travel styles, and preferred accommodation facilities. In addition, the questionnaire items included in the travel area may include regional items in Korea such as Seoul, Gyeonggi, Busan, and Incheon. Also, the travel style item may include a plurality of style items such as quiet, active, leisurely, swimming, and the like. In addition, the preferred lodging facility item may include a plurality of lodging facility items such as a hotel, a motel, a pension, and a resort. However, the interface of the plurality of questionnaire items is not limited thereto.

Also, the service providing apparatus 10 may generate a user preferred lodging list based on first user input information that is a response to a plurality of questionnaire items provided from the user terminal 20 . For example, the service providing apparatus 10 may receive user input information for selecting Seoul, Busan, Gwangju, and Jeju in response to a survey item included in a preferred travel area among a plurality of survey items from the user terminal 20 . In addition, the service providing apparatus 10 may receive the user input information for selecting a quiet, leisurely, leisurely resort area in response to the questionnaire included in the travel style from the user terminal 20 . Also, the service providing apparatus 10 may receive user input information for selecting a hotel or a pension in response to a questionnaire included in a preferred accommodation facility from the user terminal 20 . The service providing device 10 is a company of hotels and pensions among lodging facilities in Seoul, Busan, Gwangju, and Jeju based on the first user input information that is a response to a plurality of questionnaire items provided from the user terminal 20, A user's preferred lodging list may be generated to include information about accommodation facilities in a quiet, relaxed, leisurely, and resort-like feel. The service providing apparatus 10 may generate a user preferred accommodation list based on the first user input information, and may generate a final accommodation recommendation list in consideration of the state information of the companion animal and the user information.

4 is a view schematically illustrating a companion animal vehicle safety device that may be provided in combination with a vehicle seat according to an embodiment of the present application. Hereinafter, although a companion animal is illustrated as a puppy (dog) for convenience of description, the present invention is not limited thereto, and may include all animals that may be located in the vehicle safety device 2 .

According to an embodiment of the present application, the service providing device 10 provides a plurality of services provided in the companion animal vehicle safety device 2 when the companion animal 3 is located in the companion animal vehicle safety device 2 in a driving vehicle. The area strength (contact strength) may be measured based on the information provided from the sensor. The service providing device 10 may determine that the companion animal 3 has occurred in the companion animal vehicle safety device 2 (a dangerous situation) when the provided area strength (contact strength) is less than or equal to a predetermined value. The service providing apparatus 10 may provide risk notification information to the user terminal 20 when it is determined that the situation is dangerous. On the other hand, the service providing apparatus 10 may determine that the companion animal is safely sitting in the companion animal vehicle safety device 2 when the received area strength (contact strength) is equal to or greater than a predetermined value.

Referring to FIG. 4 , the companion animal vehicle safety device 2 may be provided in combination with the vehicle seat 4 . Also, the companion animal vehicle safety device 2 may detect the degree of contact with the companion animal 3 and transmit the detection result to the service providing device 10 . The service providing apparatus 10 may determine whether there is a risk by receiving the degree of contact, and may provide risk notification information to the user terminal 20 based on the determination result.

According to an exemplary embodiment of the present application, the companion animal vehicle safety device 2 may include a collar 21 , a mat unit 22 , and a contact sensing unit (not shown). However, the configuration of the companion animal vehicle safety device 2 is not limited thereto. For example, the companion animal vehicle safety device 2 is a control unit for adjusting the length of the leash 21 to a tension greater than or equal to a threshold value when the contact area sensed by the contact detection unit (not shown) is less than or equal to a preset value. (not shown) may be further included. In addition, the companion animal vehicle safety device 2 may communicate with the user terminal 20 through a network. Meanwhile, the companion animal vehicle safety device 2 may be formed in the form of a cage capable of transporting companion animals. The companion animal vehicle safety device 2 may be formed to be coupled to a part of the seat 4 of the vehicle.

In addition, the mat unit 22 may be in contact with the companion animal 3 . The mat part 22 is a part in contact with the companion animal 3 and may be a pad made of a soft material such as sponge, rubber, or kapok felt covered with cloth or plastic. The companion animal 3 may be located on the upper side of the mat unit 22 , and the mat unit 22 may be formed so that the companion animal 3 does not have any discomfort in taking activities and rest. A plurality of detection sensors, a plurality of heating units, a plurality of cooling units, a plurality of coils, a plurality of sensors, etc. may be disposed below the mat unit 22 , but are not limited thereto.

In addition, the contact sensing unit (not shown) may sense the degree of contact between the companion animal 3 and the mat unit 22 . In other words, when the companion animal 3 is positioned on the mat unit 22 , the contact sensing unit (not shown) may detect the degree of contact with the mat unit 22 . As an example, the contact sensing unit (not shown) includes a contact area between the sole of the companion animal 3 and the mat unit 22 when the companion animal 3 stands with its four legs supported on the mat unit 22 . can detect A contact sensing unit (not shown) may detect a contact area between the companion animal 3 and the mat unit 22 compared to the total area of the mat unit 22 . For example, when the companion animal 3 stands while supporting its four legs, the touch sensing unit (not shown) may detect the contact area as 10%. In addition, the contact sensing unit (not shown) may be connected to any one of the companion animal 3 and a part of the companion animal's body when the companion animal 3 places the entire body on the mat unit 22 and lies on its stomach. A contact area in contact with the mat unit 22 may be sensed. A contact sensing unit (not shown) may detect a contact area between the companion animal 3 and the mat unit 22 compared to the total area of the mat unit 22 .

In addition, the touch sensing unit (not shown) may include a plurality of sensing sensors disposed at preset positions below the mat unit 22 . The plurality of detection sensors may be sensors that detect weight or pressure. In addition, the touch sensing unit (not shown) may detect whether the companion animal is in contact according to whether a plurality of detection sensors are activated. The service providing device 10 determines whether the number of activated detection sensors relative to the total number of the plurality of detection sensors is included in a preset range, and the number of activated detection sensors compared to the total number of the plurality of detection sensors is less than or equal to the preset range In this case, it is possible to create risk notification information. For example, since the plurality of detection sensors are more activated in the case where the companion animal 3 is supported with two legs and the buttocks and the mat portion 22 are in contact with each other compared to the case where the companion animal 3 is supported with four legs, the service providing device 10 ) may generate danger notification information and transmit it to the user terminal 20 when the number of activated detection sensors is less than or equal to a preset range compared to the total number of the plurality of detection sensors.

The touch detection unit (not shown) may determine the number of activated detection sensors when the companion animal 3 is located in an area provided with a plurality of detection sensors. In other words, the plurality of detection sensors may activate the sensors when weight or pressure is sensed, and the touch detection unit (not shown) may determine whether to contact the companion animal according to whether the sensors are activated. The touch detection unit (not shown) may provide the number (eg, 19) of the activated detection sensors to the service providing apparatus 10 . The service providing device 10 may determine whether the number of activated detection sensors is within a preset range, and generate danger notification information if the number of activated detection sensors is less than or equal to the preset range compared to the total number of a plurality of detection sensors. there is.

On the other hand, the companion animal vehicle safety device 2 can control the driving of the driving device associated with the leash 21 when the dog owner (user) is driving, that is, in a situation where the companion animal cannot be cared for (not taken care of). . For example, the companion animal vehicle safety device 2 may receive danger notification information from the service providing device 10 . When danger notification information is received from the service providing device 10 , the companion animal vehicle safety device 2 controls the driving of the driving device associated with the collar 21 so that the collar 21 maintains the tension below a threshold value. can do. That is, when the danger notification information is received, it may mean that the companion animal 3 stands on the companion animal vehicle safety device 2 or leaves the vehicle. The companion animal vehicle safety device 2 may control the driving of the driving device to keep the leash short so that the companion animal 3 can be safely positioned inside the companion animal vehicle safety device 2 . On the other hand, when the danger notification information is not received from the service providing device 10, the companion animal vehicle safety device 2 determines that the companion animal 3 is safely located inside the companion animal vehicle safety device 2, It is possible to control the driving of the driving device so as to comfortably maintain the leash 21 with a tension greater than or equal to a threshold value. However, the embodiment of the companion animal vehicle safety device 2 described above is only one embodiment, and more various embodiments may exist.

5 is a schematic block diagram of an apparatus for providing a comprehensive animal service according to an embodiment of the present application.

Referring to FIG. 5 , the service providing apparatus 10 includes a receiving unit 11 , a generating unit 12 , a recommendation list generating unit 13 , a waiting information providing unit 14 , a calculating unit 15 , and an acceptance processing unit 16 . , a traffic list generating unit 17 , a vehicle call unit 18 , and a drug delivery order information generating unit 19 . However, the configuration of the service providing apparatus 10 is not limited thereto.

According to an embodiment of the present application, the receiver 11 may receive the user's input information for a plurality of symptom lists of the comprehensive animal from the user terminal 20 .

According to an embodiment of the present application, the generator 12 may predict the health state of the general animal in consideration of the user's input information. Also, the generation unit 12 may generate medical treatment reception information based on health condition diagnosis prediction result information.

In addition, the generator 12 may predict the health state of the comprehensive animal by applying the user's input information to an artificial neural network-based learning model built by inputting a plurality of symptom lists and medical history information.

According to an embodiment of the present application, the recommendation list generator 13 may generate a veterinary hospital recommendation list included in a preset range in consideration of the user's location information. Also, the recommendation list generator 13 may generate a veterinary hospital recommendation list including a plurality of veterinary hospital information based on the veterinary hospital review information collected from a plurality of users. In addition, the recommendation list generator 13 may assign different weights to a plurality of veterinary hospital review evaluation items previously set by the user, and generate a veterinary hospital recommendation list based on the calculation results according to the weights.

According to an embodiment of the present application, the waiting information providing unit 14 receives the user input information for selecting at least one of a plurality of veterinary hospital information included in the veterinary hospital recommendation list from the receiving unit 11, and receives the veterinary hospital terminal ( 30), it is possible to obtain medical treatment reception status information, and transmit medical treatment waiting information including an expected waiting time to the user terminal 20 .

According to an embodiment of the present application, the calculating unit 15 may calculate the expected waiting time at the desired treatment time based on the treatment reception status information. Here, the medical treatment reception status information may include information on the number of waiting animals and treatment type information of each waiting animal already received at the veterinary hospital linked to the veterinary hospital terminal 30 .

According to an embodiment of the present application, when the reception processing unit 16 receives a medical treatment reception request from the user terminal 20 , the reception processing unit 16 requests medical treatment reception from the veterinary hospital terminal 30 , and requests the medical treatment reception request from the veterinary hospital terminal 30 . When the medical treatment reception processing information according to

Meanwhile, the receiving unit 11 may receive user input information for selecting a veterinary hospital for authenticating drug prescription information among a plurality of veterinary hospitals included in the veterinary hospital recommendation list. In this case, the reception processing unit 16 may provide the drug prescription information to the pharmacy terminal along with the identification information of the veterinary hospital based on the user input information. Since drug prescription information (prescription) must be issued by a veterinarian, a veterinarian's license number is required. Accordingly, the reception processing unit 16 may provide the drug prescription information (prescription) to the pharmacy terminal 40 with information generated in consideration of the user input at the veterinary hospital (veterinarian) and the result of diagnosing the health condition of the combination animal.

According to an embodiment of the present application, the traffic list generator 17 may generate a list in which a vehicle call is possible in consideration of the user's location information and the type of the general animal.

According to an embodiment of the present application, the vehicle call unit 18 may perform a vehicle call based on user input information that selects at least one of vehicle information included in the traffic list. For example, the vehicle call unit 18 may provide vehicle call information to a mobility platform terminal (not shown). The mobility platform terminal (not shown) may receive vehicle call information including user input information, and may provide the user's location information and arrival information to a driver terminal (not shown) operating the corresponding vehicle.

According to an embodiment of the present application, the drug delivery order information generating unit 19 may generate drug delivery order information based on the location information of the pharmacy in which the user location information and the pharmacy terminal provided with the drug prescription information is located. Also, the drug delivery order information generating unit 19 may provide the generated drug delivery order information to a drug delivery service terminal (not shown). The drug delivery order information may include information on an arrival time required from the pharmacy to the user's location. The drug delivery order information generating unit 19 may receive information such as the number of people currently available for delivery and waiting time from the drug delivery service terminal (not shown). Also, the drug delivery order information generating unit 19 may receive traffic state information from an external server. The medicine delivery order information generating unit 19 may provide information about the required arrival time, which is changed in consideration of the traffic state information provided from an external server, to a user terminal (not shown).

Hereinafter, an operation flow of the present application will be briefly reviewed based on the details described above.

6 is an operation flowchart of a method for providing a comprehensive animal service according to an embodiment of the present application.

The comprehensive animal service providing method illustrated in FIG. 6 may be performed by the above-described comprehensive animal service providing apparatus 10 . Accordingly, even if omitted below, the description of the comprehensive animal service providing apparatus 10 may be equally applied to the description of the comprehensive animal service providing method.

In step S601 , the service providing apparatus 10 may receive user input information for a plurality of symptom lists of the comprehensive animal.

In step S602, the service providing apparatus 10 may predict the health state of the general animal in consideration of the user's input information.

In operation S603, the service providing apparatus 10 may generate medical treatment reception information based on the health condition diagnosis result information.

In step S604, the service providing apparatus 10 may generate a veterinary hospital recommendation list included in a preset range in consideration of the user's location information.

In step S605, the service providing device 10 may receive the user input information for selecting at least one of the veterinary hospital information included in the veterinary hospital recommendation list.

In step S606 , the service providing apparatus 10 may obtain medical treatment reception status information from the veterinary hospital terminal 30 , and transmit medical treatment waiting information including the expected waiting time to the user terminal 20 .

In step S607 , the service providing apparatus 10 may calculate an expected waiting time at the desired treatment time based on the treatment reception status information.

In the above description, steps S601 to S607 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present application. In addition, some steps may be omitted if necessary, and the order between the steps may be changed.

The comprehensive animal service providing method according to an embodiment of the present application may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described comprehensive animal service providing method may be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The above description of the present application is for illustration, and those of ordinary skill in the art to which the present application pertains will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may also be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present application.

1: Service provision system
10: Service providing device
20: user terminal
30: animal hospital terminal
40: pharmacy terminal
50: mobility platform terminal

Claims (12)

In the comprehensive animal service providing device,
a receiver for receiving user input information for a plurality of symptom lists of a comprehensive animal;
a generation unit for predicting the health state of the general animal in consideration of the user's input information, and generating medical treatment reception information based on the health state diagnosis prediction result information;
a recommendation list generator for generating a veterinary hospital recommendation list included in a preset range in consideration of the user's location information;
Receive user input information for selecting at least one of a plurality of veterinary hospital information included in the veterinary hospital recommendation list from the receiving unit, obtain medical treatment reception status information from a veterinary hospital terminal, and include an expected waiting time to the user terminal Waiting information providing unit for transmitting medical waiting information; and
a calculation unit for calculating the expected waiting time at the desired treatment time based on the treatment reception status information;
Comprehensive animal service providing device comprising a. According to claim 1,
The medical treatment reception status information is,
It includes information on the number of waiting animals and treatment type information of each of the waiting animals already received at the veterinary hospital in connection with the veterinary hospital terminal,
The calculation unit,
The apparatus for providing a comprehensive animal service, which calculates the expected treatment time of each of the waiting animals based on the treatment type information. 3. The method of claim 2,
The generating unit,
Comprehensive animal service providing apparatus, which predicts the health status of the comprehensive animal by applying the user's input information to an artificial neural network-based learning model built by inputting a plurality of symptom lists and medical history information. 4. The method of claim 3,
When a medical treatment reception request is received from the user terminal, a medical treatment reception request is made to the veterinary hospital terminal, and when medical treatment reception processing information according to the medical treatment reception request is received from the veterinary hospital terminal, the medical treatment reception processing information is transferred to the user terminal Reception processing unit to send to,
Further comprising, a comprehensive animal service providing device. 5. The method of claim 4,
a traffic list generator for generating a list in which a vehicle call is possible in consideration of the user's location information and the type of comprehensive animal; and
a vehicle call unit for performing a vehicle call based on user input information that selects at least one of vehicle information included in the traffic list;
Further comprising, a comprehensive animal service providing device. 6. The method of claim 5,
The recommendation list generation unit,
Further based on the veterinary hospital review information collected from a plurality of users, generating the veterinary hospital recommendation list including a plurality of veterinary hospital information,
In response to a plurality of evaluation items of veterinary hospitals set in advance by the user, different weights are given, and the veterinary hospital recommendation list is generated based on the calculation results according to the weights, the comprehensive animal service providing apparatus. 7. The method of claim 6,
The receiving unit,
Receive user input information for selecting a veterinary hospital that authenticates drug prescription information among veterinary hospitals included in the veterinary hospital recommendation list,
The reception processing unit,
Based on the user input information to provide the drug prescription information along with the identification information of the veterinary hospital to the pharmacy terminal, a comprehensive animal service providing device. 8. The method of claim 7,
Further comprising: a drug delivery order information generating unit generating drug delivery order information based on the location information of the user and the location information of a pharmacy in which the pharmacy terminal provided with the drug prescription information is located,
The drug delivery order information generating unit,
and providing the generated drug delivery order information to a drug delivery service terminal. In the method of providing a comprehensive animal service,
Receiving user input information for a plurality of symptom lists of the comprehensive animal;
predicting the health state of the general animal in consideration of the user's input information;
generating medical treatment reception information based on the health status diagnosis result information;
generating a veterinary hospital recommendation list included in a preset range in consideration of the user's location information;
receiving user input information for selecting at least one of the veterinary hospital information included in the veterinary hospital recommendation list;
obtaining medical treatment reception status information from a veterinary hospital terminal, and transmitting medical treatment waiting information including an expected waiting time to a user terminal; and
Calculating the expected waiting time at a desired time for treatment based on the treatment reception status information;
A method of providing comprehensive animal services, including 10. The method of claim 9,
when a request for medical treatment is received from the user terminal, requesting to receive treatment from the veterinary hospital terminal; and
When medical treatment reception processing information according to the medical treatment reception request is received from the veterinary hospital terminal, transmitting the medical treatment reception processing information to the user terminal;
The method of providing comprehensive animal services further comprising a. 11. The method of claim 10,
generating a traffic list in which a vehicle call is possible in consideration of the user's location information and the type of comprehensive animal; and
performing a vehicle call based on user input information selecting at least one of vehicle information included in the traffic list;
The method of providing comprehensive animal services further comprising a. 12. The method of claim 11,
receiving a user input for selecting a veterinary hospital for authenticating drug prescription information among veterinary hospitals included in the veterinary hospital recommendation list; and
providing the drug prescription information to a pharmacy terminal together with identification information of a hospital selected by the user input;
The method of providing comprehensive animal services further comprising a.

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