CN112884267A - Travel scheme planning method and device and readable storage medium - Google Patents
Travel scheme planning method and device and readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a travel scheme planning method, a travel scheme planning device and a readable storage medium, wherein the travel scheme planning method comprises the following steps: the method comprises the steps that terminal equipment obtains a travel request of a user, wherein the travel request comprises travel demand information and a travel testimony; extracting the area information and the age of the pedestrian from the pedestrian certificate; inputting the region information and the age into a health evaluation model to perform health analysis on the traveling people to obtain health distribution data of the pedestrians; and planning a travel scheme of the pedestrian based on the travel demand information and the health distribution data. By adopting the travel scheme planning method, a travel scheme capable of avoiding health hidden dangers can be provided for pedestrians, so that the travel safety is ensured.
Description
Technical Field
The invention relates to the field of computer application, in particular to a travel scheme planning method and device and a readable storage medium.
Background
Typically, the travel website or APP will formulate a travel plan for the user based on the user's request. At present, a travel website or APP collects user behavior information (historical travel information and search records of a user) on the travel website or APP and combines with user demand analysis to make a travel plan for the user. However, the travel plan obtained in this way is not flexible, and does not take the health risks of the user into consideration, and once the user adopts an inappropriate travel plan without knowing the health condition of the user, the safety risks may exist in the travel of the user, for example, the user who does not know that the user has heart disease may be allowed to play a high-altitude stimulation project.
Therefore, how to provide a planning method of an outbound scheme for avoiding the hidden health risks of users is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a travel scheme planning method, a travel scheme planning device and a readable storage medium.
In a first aspect, an embodiment of the present invention provides a travel plan planning method, where the method includes:
acquiring a travel request of a user, wherein the travel request comprises travel demand information and a travel testimony;
extracting the area information and the age of the pedestrian from the pedestrian certificate;
inputting the region information and the age into a health assessment model to perform health analysis on the travelers to obtain health distribution data of the travelers;
and planning a travel scheme of the pedestrian based on the travel demand information and the health distribution data.
In a second aspect, an embodiment of the present invention provides a travel plan planning apparatus, where the travel plan planning apparatus includes:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a travel request of a user, and the travel request comprises travel demand information and a travel testimony;
the processing module is used for extracting the region information and the age of the pedestrian from the pedestrian certificate;
the processing module is further used for inputting the region information and the age into a health assessment model to perform health analysis on the people going out to obtain health distribution data of the people going out;
the processing module is further configured to plan a travel scheme of the pedestrian based on the travel demand information and the health distribution data.
In a third aspect, an embodiment of the present invention provides a terminal device, where the terminal device includes an input device and an output device, and the terminal device further includes a processor, and is adapted to implement one or more instructions, and the one or more instructions are adapted to be loaded by the processor and execute the travel plan planning method according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where instructions are stored, and when the instructions are executed on a computer, the instructions cause the computer to execute the travel plan planning method according to the first aspect.
In the embodiment of the application, the terminal equipment can acquire the travel request containing travel demand information and the travel testimony submitted by the user, and extract the area information and the age of the pedestrian from the travel testimony. Further, the terminal device inputs the area information and the age into a health assessment model to perform health analysis on the people going out, so that health distribution data of the people going out are obtained, and then a going out scheme of the people can be planned based on the going out demand information and the health distribution data. By adopting the travel scheme planning method, a travel scheme capable of avoiding health hidden dangers can be provided for pedestrians, so that the travel safety is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a travel plan planning method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another travel plan planning method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a travel plan planning apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the application, the terminal equipment acquires a travel request of a user, health analysis is carried out on a person in travel according to a certificate of the person in travel request, health distribution data of the person in travel are obtained, and then a travel scheme of the person in travel can be planned based on the health distribution data and travel demand information in the travel request. By adopting the travel scheme planning method, a travel scheme capable of avoiding health hidden dangers can be provided for pedestrians, so that the travel safety is ensured. The terminal device includes, but is not limited to, a front-end device such as a mobile phone, a tablet computer, a notebook computer, and a desktop computer, and may further include a back-end server, a server cluster, and the like. The health distribution data includes a disease type and a probability of the disease type, wherein the disease type may be an avoidance disease type specified by a play program, for example, high-altitude parachuting specifies that a patient suffering from any one of heart disease, hypertension, vertigo and hypoglycemia is not suitable for the high-altitude parachuting program, or may be sudden disease and chronic disease.
Fig. 1 is a schematic flow chart of a travel plan planning method provided in an embodiment of the present invention, where the method is executed by a terminal device, and the travel plan planning method includes the following steps:
s101: the terminal equipment acquires a travel request of a user, and the travel request comprises travel demand information and a travel testimony.
The trip demand information may include one or more of trip time, trip location, trip item designated by a trip person, and trip budget amount. The trip people identification card piece can be one or more of a trip people identification card picture, a trip people identification card number and a trip people care picture. The trip person may or may not include the user, and this scheme is not specifically limited.
After a user logs in the terminal equipment, the terminal equipment acquires a travel request submitted by the user, and acquires travel demand information and pedestrian certificate from the travel request. Optionally, the terminal device stores the pedestrian exit certificate in the travel request, so that the pedestrian exit certificate of the traveller is directly called when the travel request for the same pedestrian is received next time.
S102: the terminal equipment extracts the area information and the age of the trip person from the trip person certificate.
When the trip person certificate is a trip person identification card number, for such a situation, the terminal device may analyze one or both of the area information and the age of the trip person according to the identification card number, specifically, the area information and the age of the pedestrian may be obtained according to the first 10 digits of the identification card, for example, the first 10 digits of the identification card are 5100001989, the area information of the pedestrian may be obtained by analysis, which is the province of Sichuan (certificate corresponding digit is 510000), and the age of the pedestrian in 2019 is 30 years (certificate corresponding digit is 1989).
When the trip people certificate is certificate picture information (a pedestrian identity card picture or a trip people care picture), for the situation, the terminal equipment can perform noise reduction pretreatment on the certificate picture to obtain a certificate picture vector matrix, further, the terminal equipment can perform feature extraction and feature dimension reduction on the certificate picture vector matrix to obtain a feature vector capable of representing the certificate picture, and then the feature vector is input into a network identification model to perform image character identification to obtain trip people certificate information (such as an identity card number, trip people region information, age and the like). And the terminal equipment analyzes the information of the travel testimony to obtain the area information and the age of the pedestrian.
The operation of the terminal device for performing noise reduction preprocessing on the certificate picture to obtain the certificate picture vector matrix may include: carrying out normalization processing operation on the certificate picture, and normalizing the size and the format of the certificate picture; cutting the certificate picture, and selecting the certificate picture to be identified containing certificate information; and (4) carrying out binarization processing operation on the positive certificate picture, and converting the certificate picture into binary data to obtain a certificate vector matrix. The network identification model is obtained by training an initial network model by developers by adopting experimental data, wherein the initial network model comprises but is not limited to a support vector machine, a convolutional neural network, a long-time memory neural network, a deep confidence network model and the like.
S103: and the terminal equipment inputs the area information and the age into a health assessment model to carry out health analysis on the people going out, so as to obtain the health distribution data of the people going out.
Exemplarily, the regional information of the lady plum is Chongqing, the age of the lady plum is 60 years old, the terminal device inputs the regional information and the age of the lady plum into the health assessment model to perform health analysis on the lady plum, and the obtained health distribution data of the lady plum are shown in table 1:
TABLE 1
In one embodiment, the terminal device obtains disease statistics data, wherein the disease statistics data comprises disease types and area distribution information and age distribution information corresponding to each disease, and trains an initial network model based on the disease statistics data to obtain a health assessment model.
The disease statistical data may be disease statistical data published by hospitals in various regions across the country, or disease statistical data obtained by sampling and surveying various regions across the country. The initial network model includes, but is not limited to, logistic regression algorithm, support vector machine, convolutional neural network, long-term memory neural network, deep confidence network model, etc.
Optionally, the disease statistics may further include gender information, and the initial network model is trained based on the disease statistics to obtain a health assessment model. Further, the terminal equipment inputs the region information and the age into a health assessment model to perform health analysis on the people going out, and health distribution data of the people going out are obtained. Illustratively, the information about the area of the ancestor of the age of 50 is Chongqing, and the information about the area of the once woman of the age of 50 is Chongqing, since the probability of smoking and drinking by men is higher than that of women, the health assessment model may analyze that the probability of the ancestor suffering from asthma is slightly higher than that of the once woman.
S104: and planning the travel scheme of the pedestrian by the terminal equipment based on the travel demand information and the health distribution data.
The travel scheme may include one or more of a travel mode, a travel location, a travel route, a travel play item, a travel time plan, and a travel vehicle.
Optionally, the terminal device may analyze the health hidden danger of the pedestrian according to the health distribution data, and analyze the demand information (for example, the play experience item and the trip mode) of the pedestrian to obtain a plurality of trip items, and further, the terminal device may reject the trip item which induces the health hidden danger disease of the pedestrian from the plurality of trip items, thereby ensuring the safe trip of the trip person.
Illustratively, the terminal equipment inputs the age and the regional information of Mr. huang and Li lady into the health assessment model to analyze, so that two persons suffer from or potentially suffer from hypertension, hyperlipidemia, diabetes and cardiovascular diseases. Therefore, when the terminal device makes a travel plan for the terminal device, the terminal device can avoid recommending high-risk items such as high-altitude parachuting, bungee jumping and floating diving or items which are easy to cause potential diseases and attack diseases such as hot springs and winter swimming and can avoid taking an airplane out.
In the embodiment of the application, the terminal equipment can acquire the travel request of the user comprising the travel demand information and the travel testimony, extract the area information and the age of the pedestrian from the pedestrian certificate, further, input the area information and the age into the health assessment model to carry out health analysis on the person who goes out, obtain the health distribution data of the pedestrian, and then the terminal equipment can plan the travel scheme of the pedestrian based on the travel demand information and the health distribution data. By adopting the travel scheme planning method, a travel scheme capable of avoiding health hidden dangers can be provided for pedestrians, so that the travel safety is ensured.
Fig. 2 is a schematic flow chart of another travel plan planning method according to an embodiment of the present invention, where the travel plan planning method includes the following steps:
s201: the terminal equipment acquires a travel request of a user, and the travel request comprises travel demand information and a travel testimony.
S202: the terminal equipment extracts the area information and the age of the trip person from the trip person certificate.
S203: and the terminal equipment inputs the area information and the age into a health assessment model to carry out health analysis on the people going out, so as to obtain the health distribution data of the people going out.
The specific implementation process of steps 201-203 may refer to the specific description in steps 101-103 of the foregoing embodiment, and details thereof are not repeated here.
S204: and the terminal equipment generates at least one trip item according to the trip demand information.
When the travel demand information comprises a travel location, the terminal equipment can acquire the scenic spots of the travel location according to the travel demand information, sort the scenic spots from high to low according to one or more of popularity, cost performance or evaluation of the scenic spots, and select the scenic spots with the top N of the sorting to generate at least one travel project for the travel location. N is an integer greater than 0, and may be set by a user or set by a developer according to experimental data through measurement and calculation, and is not specifically limited herein.
Optionally, when the travel demand information includes a travel item and a travel location specified by the user, for this case, the terminal device generates N travel items according to the travel location, and determines the travel item specified by the user and the N travel items generated by the terminal device together as the at least one travel item. N is an integer greater than 0, and may be set by a user or set by a developer according to experimental data through measurement and calculation, and is not specifically limited herein.
Optionally, the terminal device may further obtain historical trip data of the pedestrian according to the trip person information, further, the historical trip data may be analyzed to obtain trip preferences of the trip person, and at least one trip item may be determined according to the trip demand information and the trip preferences. The terminal device analyzes the trip preference of the trip person according to the historical trip data, such as one or more of consumption level, trip location sharing characteristics, trip item sharing characteristics and trip mode preference. For example, the terminal device obtains historical trip data of the king lady, analyzes the historical trip data to obtain that the king lady has more trips by taking an airplane, likes shopping circles, and the average consumption amount of trips is 3 ten thousand yuan. According to the travel demand information and the travel preference of the king ladies, the travel item determined by the terminal equipment is the travel mode of taking an airplane, and the shopping mall in the XX area is large.
Optionally, the terminal device may further analyze the pedestrian eating habit according to the pedestrian region information, and recommend a restaurant meeting the pedestrian eating habit to the traveler according to the eating habit. Illustratively, the Miss wang is a Chongqing, the terminal device analyzes that the diet habit of the Miss wang is spicy and hot according to the regional information of Chongqing, and when at least one trip item is generated according to the trip demand information, a Sichuan cuisine among the trip items is recommended to the Miss wang.
S205: the terminal equipment acquires a first avoidance disease type of each trip item in the at least one trip item, and determines a first target trip item from the at least one trip item according to the first avoidance disease type and the health distribution data.
The terminal device may consult an authoritative medical expert to obtain a first avoidance disease category of each trip item according to the name of each trip item in the at least one trip item, and may also obtain experience awareness analysis of each trip item to obtain the first avoidance disease category of each trip item. And analyzing and screening the travel projects by combining the health distribution data and the first avoidance disease types of the travel projects, so as to determine a first target travel project.
Specifically, the terminal device may determine a second avoidance disease category of the pedestrian according to the health distribution data of the pedestrian, and then match the first avoidance disease category of each trip item in the at least one trip item with the second avoidance disease category. Further, the terminal device determines a corresponding first target travel project with a first avoidance disease type and a second avoidance disease type which are not matched from at least one travel project, and plans the travel scheme of the pedestrian according to the travel demand information and the first target travel project.
Optionally, the health distribution data includes at least one disease type and an illness probability corresponding to each disease type in the at least one disease type, after the terminal device obtains the health distribution data of the pedestrian, the terminal device compares the illness probability corresponding to each disease type with a first threshold to obtain a comparison result, further, the terminal device may determine, from the at least one disease type, a target disease type having a corresponding illness probability greater than or equal to the first threshold according to the comparison result, and use the target disease type as a second avoidance disease type of the pedestrian. The first threshold value is obtained by measuring and calculating experimental data, and the later period can be adjusted according to actual conditions. Exemplarily, the first threshold is 65%, the health distribution data of the littlemen is shown in table 1, and then hypertension with a prevalence probability of 70% greater than 65% is determined as the second avoidance disease category.
Optionally, after the terminal device obtains health distribution data of the pedestrian, the disease probability corresponding to each disease type is ranked from high to low (or from low to high), the disease type corresponding to the disease probability of M before (or M after) ranking is determined as a target disease type, and the target disease type is used as a second avoidance disease type of the pedestrian. Wherein M is an integer larger than 0, and is obtained by measurement and calculation according to experimental data by developers, and can be adjusted according to specific conditions in the later stage.
Illustratively, the second avoidance disease category of the trip plum ladies is hypertension, and the trip demand includes a trip place XX scenic spot. The terminal equipment generates 3 travel items for the plum ladies according to the travel demands of the plum ladies, wherein the travel items are high-altitude parachuting, sightseeing vehicle visiting and XX scenic spot candy house visiting respectively. The first avoidance disease types of the travel items obtained by the terminal equipment are respectively heart disease, hypertension, vertigo and hypoglycemia, the first avoidance disease types of high-altitude parachuting are not found during sightseeing of a sightseeing bus, and the first avoidance disease types of the XX scenic spot candy house are hyperglycemia. Further, the terminal device matches the first avoidance disease type with the second avoidance disease type, the second avoidance disease type of the plum lady is matched with the first avoidance disease type of the high-altitude parachute jumping project for the high blood pressure, and the unmatched sightseeing vehicle tour project and the XX scenic region candy house visit project are determined as the first target trip project.
S206: and the terminal equipment plans the travel scheme of the pedestrian according to the travel demand information and the first target travel project.
When the travel demand information further includes information such as travel time, a travel budget amount and the like, the terminal device can plan a specific travel scheme (including travel time, a travel route and the like) of the pedestrian according to the first target travel item and the travel demand information. For example, the terminal device determines that the first target travel item of the plum lady is a sightseeing bus tour item and an XX scenic region candy house visit item, and the scheme for planning the play route of the plum lady in the XX scenic region by the terminal device is as follows: the plum lady at 10 am can visit the whole scenic spot by the sightseeing vehicle, and then the plum lady at 11 am arrives at the terminal station of the sightseeing vehicle, walks to the XX scenic spot candy room to visit and taste the candies. By adopting the trip scheme, the condition that the plum lady breaks blood pressure suddenly when high-altitude parachuting is carried out is avoided, and the safety of the trip is ensured.
In one embodiment, the travel demand information includes travel time, and for this case, the terminal device obtains passenger flow of each travel item included in the first target travel item in a time period of travel time within a preset year, and calculates an average passenger flow of each travel item in a time period of travel time within a preset year, and then, the terminal device may determine, from each travel item, a second target travel item having an average passenger flow smaller than or equal to a second threshold, and plan a travel plan of the pedestrian according to the travel demand information and the second target travel item. The preset age and the second threshold may be set by a developer according to the experimental data, or may be set by a user, which is not limited specifically herein.
Illustratively, the travel time of mr. huang is a five-holiday, the first target items are item 1 and item 2, the terminal device obtains the passenger flow of the item 1 and the item 2 in the last 5 years respectively, and calculates the average passenger flow of the item 1 and the item 2 in the last 5 years respectively, and the peak time of the average passenger flow of the item 1 is 1 ten thousand passenger times per hour on average, and the peak time of the average passenger flow of the item 2 is 5000 passenger times per hour on average. If the pedestrian sets the second threshold to be 5000 persons per hour, the terminal device determines item 2 as the second target travel item.
Optionally, in order to enrich the travel projects and improve the experience of the user, the terminal device may also calculate the peak time according to the passenger flow, so as to avoid the passenger flow in the peak time, for example, the peak time of the average passenger flow of the project 1 calculated by the terminal device is 1 ten thousand times per hour on average, but 3000 times per hour in the morning of the project 1, 5000 times per hour in the peak time of the average passenger flow of the project 2 calculated by the terminal device, but 3000 times per hour at night of the project 2, so that the terminal device determines the project 1 in the morning and the project 2 at night as the second target travel project.
In one embodiment, the travel demand information includes a travel location, and the terminal device may further verify whether the validity period of the travel witness certificate meets a travel requirement of the travel location. And if the certificate validity period does not meet the travel requirement of the travel place, the terminal equipment outputs prompt information of which the certificate validity period does not meet the travel requirement of the travel place.
For example, the terminal device establishes a united states tour scheme for mr. huang, verifies the passport validity period of mr. huang, obtains the passport validity period of mr. huang for only 3 months, does not meet the united states tourism policy (the passport validity period is required to be allowed to enter in half a year or more), and outputs prompt information to prompt mr. huang to renew the signature in time.
In the embodiment of the application, the terminal equipment can acquire the travel request of the user comprising the travel demand information and the travel testimony, extract the area information and the age of the pedestrian from the pedestrian certificate, and further input the area information and the age into the health assessment model to perform health analysis on the pedestrian to obtain the health distribution data of the pedestrian. The terminal device may further generate at least one trip item according to the trip demand information, acquire a first avoidance disease type of each trip item in the at least one trip item, and determine a first target trip item from the at least one trip item according to the first avoidance disease type and the health distribution data, and further, the terminal device may plan the trip plan of the pedestrian according to the trip demand information and the first target trip item. By adopting the travel scheme planning method, a travel scheme capable of avoiding health hidden dangers can be provided for pedestrians, so that the travel safety is ensured.
Based on the description of the method embodiment, the embodiment of the invention also provides a travel scheme planning device. Referring to fig. 3, the travel plan planning apparatus includes the following modules:
an obtaining module 30, configured to obtain a travel request of a user, where the travel request includes travel demand information and a travel testimony;
the processing module 31 is used for extracting the region information and the age of the pedestrian from the pedestrian certificate;
the processing module 31 is further configured to input the region information and the age into a health assessment model to perform health analysis on a person who goes out, so as to obtain health distribution data of the person who goes out;
the processing module 31 is further configured to plan a trip plan of the pedestrian based on the trip demand information and the health distribution data.
In an embodiment, before performing the health analysis on the trip person according to the trip person certificate information and the health assessment model, the processing module 31 is further configured to: acquiring disease statistical data, wherein the disease statistical data comprises disease types, and area distribution information and age distribution information corresponding to each disease; and training an initial network model based on the disease statistical data to obtain a health assessment model.
In an embodiment, when planning the travel plan of the pedestrian based on the travel demand information and the health distribution data, the processing module 31 is specifically configured to: generating at least one trip item according to the trip demand information; acquiring a first avoidance disease category of each trip item in the at least one trip item; determining a first target travel item from the at least one travel item according to the first avoidance disease category and the health distribution data; and planning the travel scheme of the pedestrian according to the travel demand information and the first target travel project.
In an embodiment, when the first target travel item is determined from the at least one travel item according to the first avoidance disease category and the health distribution data, the processing module 31 is specifically configured to: determining a second avoidance disease type of the pedestrian according to the health distribution data; matching the first avoidance disease category and the second avoidance disease category of each travel item; and determining a first target travel item of which the corresponding first avoidance disease type is not matched with the second avoidance disease type from the at least one travel item.
In one embodiment, the health distribution data includes at least one disease category and a disease probability corresponding to each disease category of the at least one disease category, and the processing module 31, when determining the second avoidance disease category of the pedestrian according to the health distribution data, is specifically configured to: comparing the disease probability corresponding to each disease type with a first threshold value to obtain a comparison result; determining a target disease type with the corresponding disease probability being larger than or equal to a first threshold value from the at least one disease type according to the comparison result; and taking the target disease category as a second avoidance disease category of the pedestrian.
In an embodiment, the travel demand information includes a travel time, and the processing module 31 is specifically configured to, when planning the travel plan of the pedestrian according to the travel demand information and the first target travel project: obtaining passenger flow of each travel item included in the first target travel item in a time period of the travel time within a preset year; calculating the average passenger flow of the passenger flow of each travel item in the time period of the travel time within the preset year; determining a second target travel item with the average passenger flow less than or equal to a second threshold value from the travel items; and planning the travel scheme of the pedestrian according to the travel demand information and the second target travel project.
In an embodiment, when determining at least one travel item according to the travel demand information, the processing module 31 is specifically configured to: acquiring historical travel data of the pedestrian according to the pedestrian information; analyzing the historical travel data to obtain the travel preference of the pedestrian; and determining at least one travel item according to the travel demand information and the travel preference.
In an embodiment, the travel demand information includes a travel location, and the processing module 31 is further specifically configured to: verifying whether the validity period of the pedestrian certificate meets the travel requirement of the travel place; and if not, outputting prompt information that the validity period of the certificate does not meet the travel requirement of the travel place.
It should be noted that the functions of the modules of the travel plan planning apparatus described in the embodiment of the present invention may be specifically implemented according to the method in the embodiment of the method described in fig. 1 or fig. 2, and the specific implementation process may refer to the description related to the embodiment of the method in fig. 1 or fig. 2, which is not described herein again.
Based on the description of the method embodiment and the apparatus item embodiment, the embodiment of the present invention further provides a terminal device. Referring to fig. 4, the terminal device may include at least a processor 401, an input device 402, an output device 403, and a memory 404; the processor 401, the input device 402, the output device 403, and the memory 404 may be connected by a bus or other connection means. The memory 404 is used for storing a computer program comprising program instructions and the processor 401 is used for executing the program instructions stored by the memory 404. The processor 401 (or CPU) is a computing core and a control core of the terminal device, and is adapted to implement one or more instructions, and specifically, is adapted to load and execute the one or more instructions so as to implement the corresponding method flow or the corresponding function in the above embodiment of the travel plan method. Wherein the processor 401 is configured to call the program instruction to perform: acquiring a travel request of a user, wherein the travel request comprises travel demand information and a travel testimony; extracting the area information and the age of the pedestrian from the pedestrian certificate; inputting the region information and the age into a health assessment model to perform health analysis on the travelers to obtain health distribution data of the travelers; and planning a travel scheme of the pedestrian based on the travel demand information and the health distribution data.
In an embodiment, before performing the health analysis on the trip person according to the trip person certificate information and the health assessment model, the processor 401 is further configured to: acquiring disease statistical data, wherein the disease statistical data comprises disease types, and area distribution information and age distribution information corresponding to each disease; and training an initial network model based on the disease statistical data to obtain a health assessment model.
In an embodiment, when the processor 401 plans the travel plan of the pedestrian based on the travel demand information and the health distribution data, it is specifically configured to: generating at least one trip item according to the trip demand information; acquiring a first avoidance disease category of each trip item in the at least one trip item; determining a first target travel item from the at least one travel item according to the first avoidance disease category and the health distribution data; and planning the travel scheme of the pedestrian according to the travel demand information and the first target travel project.
In an embodiment, when the processor 401 determines the first target travel item from the at least one travel item according to the first avoidance disease category and the health distribution data, it is specifically configured to: determining a second avoidance disease type of the pedestrian according to the health distribution data; matching the first avoidance disease category and the second avoidance disease category of each travel item; and determining a first target travel item of which the corresponding first avoidance disease type is not matched with the second avoidance disease type from the at least one travel item.
In one embodiment, the health distribution data includes at least one disease category and a disease probability corresponding to each disease category of the at least one disease category, and the processor 401, when determining the second avoidance disease category of the pedestrian according to the health distribution data, is specifically configured to: comparing the disease probability corresponding to each disease type with a first threshold value to obtain a comparison result; determining a target disease type with the corresponding disease probability being larger than or equal to a first threshold value from the at least one disease type according to the comparison result; and taking the target disease category as a second avoidance disease category of the pedestrian.
In an embodiment, the travel demand information includes a travel time, and the processor 401, when planning the travel plan of the pedestrian according to the travel demand information and the first target travel project, is specifically configured to: obtaining passenger flow of each travel item included in the first target travel item in a time period of the travel time within a preset year; calculating the average passenger flow of the passenger flow of each travel item in the time period of the travel time within the preset year; determining a second target travel item with the average passenger flow less than or equal to a second threshold value from the travel items; and planning the travel scheme of the pedestrian according to the travel demand information and the second target travel project.
In an embodiment, when determining at least one travel item according to the travel demand information, the processor 401 is specifically configured to: acquiring historical travel data of the pedestrian according to the pedestrian information; analyzing the historical travel data to obtain the travel preference of the pedestrian; and determining at least one travel item according to the travel demand information and the travel preference.
In an embodiment, the travel demand information includes a travel location, and the processor 401 is further configured to: verifying whether the validity period of the pedestrian certificate meets the travel requirement of the travel place; if the certificate validity period does not meet the travel requirement of the travel place, the output device 403 is called to output prompt information that the certificate validity period does not meet the travel requirement of the travel place.
It should be understood that, in the embodiment of the present invention, the Processor 401 may be a Central Processing Unit (CPU), and the Processor 401 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete a hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 404 may include a read-only memory and a random access memory, and provides instructions and data to the processor 401. A portion of the memory 404 may also include non-volatile random access memory. For example, the memory 404 may also store device type information. The input device 402 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user), a microphone, a physical keyboard, etc., and the output device 403 may include a display (LCD, etc.), a speaker, etc.
In a specific implementation, the processor 401, the memory 404, the input device 402, and the output device 403 described in this embodiment of the present invention may execute the implementation described in the method embodiment shown in fig. 1 or fig. 2 provided in this embodiment of the present invention, and may also execute the implementation method of the travel plan planning apparatus described in fig. 3 provided in this embodiment of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer-readable storage medium is provided, where a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement the implementation described in the method implementation in fig. 1 or fig. 2 provided in the embodiment of the present invention, and the computer-readable storage medium may be an internal storage unit of a terminal device, such as a hard disk or a memory of the terminal device, in any one of the foregoing embodiments. The computer readable storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal device. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal device. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above.
The readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A travel plan planning method, characterized in that the method comprises:
acquiring a travel request of a user, wherein the travel request comprises travel demand information and a travel testimony;
extracting the area information and the age of the pedestrian from the pedestrian certificate;
inputting the region information and the age into a health assessment model to perform health analysis on the travelers to obtain health distribution data of the travelers;
and planning a travel scheme of the pedestrian based on the travel demand information and the health distribution data.
2. The method of claim 1, wherein before the health analysis of the trip person according to the trip person credential information and the health assessment model, the method further comprises:
acquiring disease statistical data, wherein the disease statistical data comprises disease types, and area distribution information and age distribution information corresponding to each disease;
and training an initial network model based on the disease statistical data to obtain a health assessment model.
3. The method according to claim 2, wherein the planning of the travel plan of the pedestrian based on the travel demand information and the health distribution data comprises:
generating at least one trip item according to the trip demand information;
acquiring a first avoidance disease category of each trip item in the at least one trip item;
determining a first target travel item from the at least one travel item according to the first avoidance disease category and the health distribution data;
and planning the travel scheme of the pedestrian according to the travel demand information and the first target travel project.
4. The method of claim 3, wherein the determining a first target travel item from the at least one travel item according to the first avoidance disease category and the health distribution data comprises:
determining a second avoidance disease type of the pedestrian according to the health distribution data;
matching the first avoidance disease category and the second avoidance disease category of each travel item;
and determining a first target travel item of which the corresponding first avoidance disease type is not matched with the second avoidance disease type from the at least one travel item.
5. The method of claim 4, wherein the health distribution data includes a prevalence probability of at least one disease category corresponding to each of the at least one disease category, and wherein the determining the second avoidance disease category of the pedestrian from the health distribution data includes:
comparing the disease probability corresponding to each disease type with a first threshold value to obtain a comparison result;
determining a target disease type with the corresponding disease probability being larger than or equal to a first threshold value from the at least one disease type according to the comparison result;
and taking the target disease category as a second avoidance disease category of the pedestrian.
6. The method according to any one of claims 3 to 5, wherein the travel demand information includes travel time, and the planning of the travel plan of the pedestrian according to the travel demand information and the first target travel project comprises:
obtaining passenger flow of each travel item included in the first target travel item in a time period of the travel time within a preset year;
calculating the average passenger flow of the travel time period of each travel item in the preset year;
determining a second target travel item with the average passenger flow less than or equal to a second threshold value from the travel items;
and planning the travel scheme of the pedestrian according to the travel demand information and the second target travel project.
7. The method according to any one of claims 3 to 5, wherein the determining at least one travel item according to the travel demand information comprises:
acquiring historical travel data of the pedestrian according to the pedestrian information;
analyzing the historical travel data to obtain the travel preference of the pedestrian;
and determining at least one travel item according to the travel demand information and the travel preference.
8. The method of claim 1, wherein the travel demand information includes a travel location, the method further comprising:
verifying whether the validity period of the pedestrian certificate meets the travel requirement of the travel place;
and if not, outputting prompt information that the validity period of the certificate does not meet the travel requirement of the travel place.
9. A travel plan planning apparatus, the apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a travel request of a user, and the travel request comprises travel demand information and a travel testimony;
the processing module is used for extracting the region information and the age of the pedestrian from the pedestrian certificate;
the processing module is further used for inputting the region information and the age into a health assessment model to perform health analysis on the people going out to obtain health distribution data of the people going out;
the processing module is further configured to plan a travel scheme of the pedestrian based on the travel demand information and the health distribution data.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which is executed by a processor to implement the method of any one of claims 1-8.
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