CN118396783A - Local information intelligent service platform based on set top box - Google Patents
Local information intelligent service platform based on set top box Download PDFInfo
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Abstract
The invention discloses a local information intelligent service platform based on a set top box, which relates to the technical field of barrier-free facility information acquisition and map construction. And secondly, through the special group identification and guide module, the platform provides personalized services for special groups, including accessible facility navigation and congestion avoidance, so that the comfort and safety of the special groups in scenic spots are improved. In addition, the social interaction module introduces a special crowd mutual assistance community, so that communication and cooperation among special crowds are promoted, a sharing platform for real-time position and key place information is provided for the special crowds, social engagement is improved, and tourists in scenic spots can obtain navigation information more conveniently and avoid congestion.
Description
Technical Field
The invention relates to the technical field of barrier-free facility information acquisition and map construction, in particular to a local information intelligent service platform based on a set top box.
Background
Traditional scenic spot management often relies on manual inspection, and is difficult to comprehensively monitor the people flow condition in the scenic spot in real time, so that high-density people flow is difficult to effectively cope with and the scenic spot resource utilization is difficult to optimize. The scenic spot can provide barrier-free facilities for special groups such as old people, handicapped people and mother and infant, but tourists can enter the scenic spot for the first time, and the maximum utilization rate of the barrier-free facilities can not be used under the condition that the positions of the barrier-free facilities are not known;
a set-top box is a device that connects a television set to broadcast television signals. It is commonly used to decode digital television signals and convert them into images that can be displayed on a television. Modern set-top boxes typically have more functionality such as connecting to the internet, supporting applications, playing streaming media content, etc.
The local information intelligent service platform is a system constructed on the basis of a set top box and aims to provide intelligent services related to the region where the user is located.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a local information intelligent service platform based on a set top box, which aims to solve the problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a local information intelligent service platform based on a set top box comprises a set top box deployment module, a real-time scenic spot people flow monitoring module, a first evaluation module, a barrier-free facility acquisition module, a special group identification module and a guide module;
the set top box deployment module is used for connecting and supporting an external camera and an intelligent television screen on the set top box to complete the configuration of set top box software, and comprises network setting, language selection and account login; the external camera and the intelligent television screen are deployed and installed in the scenic spot area and used for collecting scenic spot video data in real time;
The real-time scenic spot people stream monitoring module is used for collecting real-time scenic spot people stream video data through an external camera connected with the set top box and establishing a real-time video data set;
the first evaluation module is used for analyzing and calculating a real-time video data set by utilizing mechanical learning and computer vision technology, acquiring a real-time people stream density coefficient RLx, a children stream density coefficient RTx and an elderly stream density coefficient RAx, comparing the real-time people stream density coefficient RLx, the children stream density coefficient RTx and the elderly stream density coefficient RAx with a standard threshold X, acquiring a high-density region result according to an evaluation result, marking the high-density region result as a first peak region, acquiring a low-density region result according to the evaluation result, and marking the low-density region result as a first low-peak region;
The barrier-free facility acquisition module is used for acquiring barrier-free facilities in a scenic spot, wherein the barrier-free facilities comprise elevators, blind roads, wheelchair leasing points, cart leasing points and temporary channels, constructing a barrier-free facility map, and acquiring specific positions of the barrier-free facilities in real time to update the barrier-free facility map;
The special group identification module is used for identifying special groups in the video data set through an image identification technology and a face recognition technology, locating the positions of the special groups in a scenic spot, collecting and calculating, obtaining nearest barrier-free facilities within 1000 meters, intelligently generating a navigation chart through the guiding module according to the locating positions of the nearest barrier-free facilities within 1000 meters, and reminding the special groups of selecting nearest barrier-free facility paths in real time through the intelligent television screen and voice.
Preferably, the first evaluation module comprises a real-time people stream density calculation unit;
The real-time people stream density calculating unit is used for processing, identifying and analyzing real-time video data by using machine learning, computer vision technology and face recognition technology, and calculating and acquiring a real-time people stream density coefficient RLx by using the following formulas:
；
；
；
Wherein zrs represents the number of people monitored in real time in the area, qyzmj represents the total area of the scenic spot area, T1 represents the refresh frequency of the number of people monitored in real time, and also represents the time interval for calculating the people flow density; rtrs is a statistical child number for identifying child populations with heights below 1.5; lrs is a numerical value of the elderly obtained through face recognition; c 1 is denoted as a first correction constant, C 2 is denoted as a second correction constant, and C 3 is denoted as a third correction constant.
Preferably, the first evaluation module further comprises an evaluation unit, wherein the evaluation unit is used for presetting a standard threshold value X and evaluating the people stream, and the standard threshold value X comprises a first density threshold value X1, a second density threshold value X2 and a third density threshold value X3;
Comparing the real-time people stream density coefficient RLx with a first density threshold value X1, and generating a first abnormal congestion result when the real-time people stream density coefficient RLx is larger than the first density threshold value X1 and exceeds 130%, and marking the first abnormal congestion result as a first peak area;
When the real-time people flow density coefficient RLx is more than or equal to the first density threshold value X1 and is not more than 130%, the people flow in the area is normal;
when the real-time people stream density coefficient is smaller than a first density threshold value X1, marking as a first low peak area;
comparing the children's induced abortion density coefficient RTx with a second density threshold value X2, and when the children's induced abortion density coefficient RTx is more than or equal to the second density threshold value X2, generating a second abnormal congestion result, and marking the second abnormal congestion result as a second peak area;
When the density coefficient RTx of the children's induced abortion is smaller than the second density threshold value X2, the induced abortion of the children is normal;
comparing the flow density coefficient RAx of the old with a third density threshold value X3, and generating a third abnormal congestion result when the flow density coefficient RAx of the old is more than or equal to the third density threshold value X3, and marking the third abnormal congestion result as a third peak area;
When the flow density coefficient RAx of the old is smaller than the third density threshold value X3, the old is normally flowed.
Preferably, the barrier-free facility collection module comprises an elevator information collection unit, a blind road information collection unit, a wheelchair leasing point collection unit, a trolley leasing point collection unit, a temporary channel collection unit and an electronic map building unit;
The elevator information acquisition unit is used for acquiring the specific position, the coverage area, the capacity and the elevator running state of the elevator in the scenic spot, and obviously marking the elevator position by establishing an obstacle-free facility map in the electronic map unit;
The blind road information acquisition unit is used for acquiring specific path, length and connected scenic spot or building information of the blind road, detecting whether the blind road has an obstacle or not by using a camera technology, and updating the blind road information in an obstacle-free facility map;
The wheelchair lease point acquisition unit is used for acquiring the position, the available quantity and the wheelchair type of the wheelchair lease point in real time; marking a wheelchair leasing point on the barrier-free facility map, and updating the state of the leasing point;
The trolley lease point acquisition unit is used for acquiring the specific positions, trolley types and available quantity of trolley lease points in real time, marking the trolley lease points on an obstacle-free facility map and updating the states of the lease points in real time;
the temporary channel acquisition unit is used for acquiring the position and the length of a temporary channel temporarily increased in a scenic spot in real time and marking the temporary channel on a barrier-free facility map;
the electronic map building unit is used for selecting GoogleMaps, openStreetMap one of the frames, building an obstacle-free facility map, and marking the positions of the elevators, the blind sidewalks, the wheelchair leasing points, the cart leasing points and the temporary channel obstacle-free facilities on the map.
Preferably, the special group identification module comprises an identification unit and a position calculation unit;
The identification unit is used for carrying out image identification on special crowds in the video data set by utilizing the deep learning model, wherein the special crowds comprise handicapped persons, old people and children;
the position calculation unit is used for determining the accurate position of the special crowd in the scenic spot by utilizing the real-time position information of the special crowd in the video data set and combining an indoor positioning technology;
Based on the positions of special crowds, obtaining barrier-free facility points within a distance of 50 meters and 200 meters to 1000 meters, and if related barrier-free facilities are not available within the distance of 1000 meters, generating a first remote assistance scheme.
Preferably, the guiding module comprises a first early warning unit, a second early warning unit and a third early warning unit;
The first early warning unit is used for generating first early warning information according to a first peak area of the real-time generation mark, displaying the first early warning information on a smart television screen or a navigation screen, and reminding tourists of the current scenic spot situation through voice prompt and guidance;
The second early warning unit is used for generating second early warning information according to a second peak area of the real-time generation mark, displaying the second early warning information on a smart television screen or a navigation screen, reminding tourists of the current scenic spot situation through voice prompt and guidance, and setting the current scenic spot situation as first priority pushing information;
The third early warning unit is used for generating third early warning information according to a third peak area for generating the mark in real time, displaying the third early warning information on the intelligent television screen or the navigation screen, reminding tourists of the current scenic spot situation through voice prompt and guidance, and setting the information as second priority pushing information.
Preferably, the guiding module comprises a first guiding unit and a second guiding unit;
the first guiding unit is used for guiding children and guardianship to go to the first low peak area from the second peak area or calculating the nearest barrier-free facility path to dredge according to the children people flow crowd in the second peak area in a voice broadcasting and manual guiding mode so as to avoid congestion;
the second guiding unit is used for guiding the old people to go to the first low peak area from the third peak area or calculating the accessible facility path closest to the old people to dredge according to the old people flow crowd in the third peak area in a voice broadcasting and manual guiding mode, so that congestion is avoided.
Preferably, the guiding module further comprises a third guiding unit, and when the disabled person is identified, the third guiding unit guides the disabled person to travel based on the path of the disabled person from the nearest barrier-free facility in a voice broadcasting and manual guiding mode.
Preferably, the special group identification module further comprises a remote assistance scheme generation unit, wherein the remote assistance scheme generation unit is used for combining the position information of the special crowd and an unobstructed facility map to judge whether an unobstructed facility exists within the range of 50 meters and 200 meters to 1000 meters; if the specific crowd exists, providing a real-time navigation chart and a voice prompt, and guiding the specific crowd to reach the nearest barrier-free facility point;
If no related barrier-free facilities exist within 1000 meters, triggering a first remote assistance scheme to generate, calling remote assistance in real time through a smart television screen and voice, wherein the remote assistance scheme comprises scenic spot workers or volunteers, and using scenic spot vehicles to pick up special people to reach the nearest barrier-free facilities.
Preferably, the system further comprises a social interaction module, wherein the social interaction module is used for introducing a special crowd mutual assistance community into the APP, sharing real-time positions, and the special crowd can add position reference marks on an unobstructed facility map, including an unobstructed facility import and an emergency exit, so that other members can find key places; including marking the nearest unobstructed utility entry and emergency exit.
The invention provides a local information intelligent service platform based on a set top box. The beneficial effects are as follows:
(1) According to the local information intelligent service platform based on the set top box, through the real-time scenic spot people stream monitoring module, the system can collect people stream conditions in a scenic spot in real time, analysis and calculation are carried out through the first evaluation module, and peak and low peak areas are marked. The scenic spot manager can comprehensively know the real-time people flow condition in the scenic spot, and take measures in a targeted manner so as to optimize the resource utilization of the scenic spot and improve the experience of tourists.
(2) According to the local information intelligent service platform based on the set top box, through the special group identification module, the system can identify and locate special groups of people, and provides a path for navigation to the nearest barrier-free facilities for the special groups of people. In addition, the social interaction module introduces a special crowd mutual assistance community to share real-time position and key place information. This enables a particular crowd to better utilize unobstructed facilities, improving their comfort and safety in the scenic spot.
(3) The guiding module generates early warning information and a personalized guiding scheme according to the real-time scenic spot situation through the first, second and third early warning units and the first, second and third guiding units. This helps tourists avoid the crowded area, improves the whole smoothness of scenic spot. Particularly for children and the elderly, the system provides more careful dispersion service and enhances accessibility of scenic spots.
Drawings
Fig. 1 is a block flow diagram of a local information intelligent service platform based on a set top box.
In the figure: 1. deploying a set top box module; 2. a real-time scenic spot people stream monitoring module; 3. a first evaluation module; 31. a real-time people stream density calculation unit; 32. an evaluation unit; 4. a barrier-free facility collection module; 41. an elevator information acquisition unit; 42. a blind road information acquisition unit; 43. wheelchair lease point acquisition units; 44. a trolley lease point acquisition unit; 45. a temporary channel acquisition unit; 46. establishing an electronic map unit; 5. a special group identification module; 51. an identification unit; 52. a position calculation unit; 6. a guide module; 61. a first early warning unit; 62. a second early warning unit; 63. a third early warning unit; 64. a first guide unit; 65. a second guide unit; 66. a third guide unit; 7. and a social interaction module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment 1 of the invention provides a local information intelligent service platform based on a set top box, referring to fig. 1, which comprises a deployment set top box module 1, a real-time scenic spot people stream monitoring module 2, a first evaluation module 3, an unobstructed facility acquisition module 4, a special group identification module 5 and a guiding module 6;
the deployment set top box module 1 is used for connecting and supporting an external camera and an intelligent television screen on a set top box to complete the configuration of set top box software, and comprises network setting, language selection and account login; the external camera and the intelligent television screen are deployed and installed in the scenic spot area and used for collecting scenic spot video data in real time;
The real-time scenic spot people stream monitoring module 2 is used for collecting real-time scenic spot people stream video data through an external camera connected with the set top box and establishing a real-time video data set;
The first evaluation module 3 is configured to analyze and calculate a real-time video data set by using machine learning and computer vision techniques, obtain a real-time people stream density coefficient RLx, a children stream density coefficient RTx, and an elderly stream density coefficient RAx, compare the real-time people stream density coefficient RLx, the children stream density coefficient RTx, and the elderly stream density coefficient RAx with a standard threshold X, obtain a high-density region result according to an evaluation result, mark the high-density region result as a first peak region, obtain a low-density region result according to the evaluation result, and mark the low-density region result as a first peak region;
The barrier-free facility acquisition module 4 is used for acquiring barrier-free facilities in a scenic spot, wherein the barrier-free facilities comprise elevators, blind roads, wheelchair leasing points, cart leasing points and temporary channels, constructing a barrier-free facility map, and acquiring specific positions of the barrier-free facilities in real time to update the barrier-free facility map;
The special group identification module 5 is used for identifying special crowd in the video data set through an image identification technology and a face recognition technology, locating the position of the special crowd in a scenic spot, collecting and calculating to obtain the nearest barrier-free facility within 1000 meters, intelligently generating a navigation chart through the guiding module 6 according to the locating position of the nearest barrier-free facility within 1000 meters, and reminding the special crowd to select the nearest barrier-free facility path in real time through the intelligent television screen and voice.
In this embodiment, the traditional management relies on manual inspection, so that it is difficult to comprehensively monitor the people flow condition of the scenic spot in real time. The real-time scenic spot people stream monitoring module 2 can acquire real-time video data through an external camera connected with the set top box, analyze and calculate the real-time people stream density coefficient is acquired rapidly. The method is favorable for finding out the high-density people stream area in time and realizing comprehensive monitoring of the people stream in the scenic spot. The first assessment module 3 analyzes the real-time video data set using machine learning and computer vision techniques to mark high and low density regions. This allows scenic spot management personnel to more effectively optimize scenic spot resource utilization and provide better service. At the same time, the special group identification module 5 provides intelligent guidance for special people in the video dataset, especially to the nearest unobstructed facilities, based on them. The barrier-free facility collection module 4 is responsible for collecting and updating barrier-free facility maps in scenic spots, and the special group identification module 5 intelligently locates the nearest barrier-free facilities through image identification and face identification technologies. This helps to improve the guests' awareness of unobstructed facilities, maximizing the use of those facilities, especially for guests who first enter the attraction. The navigation chart generated by the guiding module 6 is combined with the intelligent television screen and the voice prompt to provide real-time navigation for special people. The personalized service not only improves the experience of tourists, but also increases the concern of scenic spots to special groups. The local information intelligent service platform of the set top box improves the efficiency of scenic spot management through an automatic and intelligent means. From real-time monitoring to personalized service, various conditions can be more rapidly and accurately dealt with, and the level of scenic spot management is improved.
Embodiment 2, which is explained in embodiment 1, referring to fig. 1, specifically, the first evaluation module 3 includes a real-time people stream density calculating unit 31;
The real-time people stream density calculating unit 31 is configured to process, identify and analyze real-time video data by using machine learning, computer vision technology and face recognition technology, and calculate and obtain a real-time people stream density coefficient RLx according to the following formula:
；
；
；
Wherein zrs represents the number of people monitored in real time in the area, qyzmj represents the total area of the scenic spot area, T1 represents the refresh frequency of the number of people monitored in real time, and also represents the time interval for calculating the people flow density; rtrs is a statistical child number for identifying child populations with heights below 1.5; lrs is a numerical value of the elderly obtained through face recognition; c 1 is denoted as a first correction constant, C 2 is denoted as a second correction constant, and C 3 is denoted as a third correction constant.
In this embodiment, the formula comprehensively considers the distribution of people flow in the scenic spot by considering a plurality of factors such as the number of people monitored in real time, the total area of the scenic spot area, the refresh frequency and the like. The multi-element factor calculation can reflect the real-time people flow density of different areas of the scenic spot more accurately, and provides more powerful data support for scenic spot management. The identification of children and old people is introduced, the number of the old people is obtained through the technology of identifying children with low height and face recognition, and tourists of different age groups in scenic spots can be considered more comprehensively. This helps to improve the accuracy of people stream density assessment, especially in the presence of special populations. The time interval for calculating the people stream density is introduced into the formula, so that the evaluation result can better reflect the space-time correlation of the people stream density in the scenic spot. The method has important significance for monitoring the people flow conditions in the high peak period and the low peak period and timely adjusting the resource allocation. By means of real-time monitoring and continuous refreshing, dynamic tracking of the real-time people flow density is ensured. Therefore, the scenic spot management can timely learn the variation trend of the people flow in the scenic spot, and resource allocation and management can be more flexibly carried out.
Embodiment 3, this embodiment is explained in embodiment 1, referring to fig. 1, specifically, the first evaluation module 3 further includes an evaluation unit 32, where the evaluation unit 32 is configured to preset a standard threshold value X, and evaluate the people stream, where the standard threshold value X includes a first density threshold value X1, a second density threshold value X2, and a third density threshold value X3;
Comparing the real-time people stream density coefficient RLx with a first density threshold value X1, and generating a first abnormal congestion result when the real-time people stream density coefficient RLx is larger than the first density threshold value X1 and exceeds 130%, and marking the first abnormal congestion result as a first peak area;
When the real-time people flow density coefficient RLx is more than or equal to the first density threshold value X1 and is not more than 130%, the people flow in the area is normal;
when the real-time people stream density coefficient is smaller than a first density threshold value X1, marking as a first low peak area;
comparing the children's induced abortion density coefficient RTx with a second density threshold value X2, and when the children's induced abortion density coefficient RTx is more than or equal to the second density threshold value X2, generating a second abnormal congestion result, and marking the second abnormal congestion result as a second peak area;
When the density coefficient RTx of the children's induced abortion is smaller than the second density threshold value X2, the induced abortion of the children is normal;
comparing the flow density coefficient RAx of the old with a third density threshold value X3, and generating a third abnormal congestion result when the flow density coefficient RAx of the old is more than or equal to the third density threshold value X3, and marking the third abnormal congestion result as a third peak area;
When the flow density coefficient RAx of the old is smaller than the third density threshold value X3, the old is normally flowed.
In this embodiment, the multi-level density thresholds X1, X2, X3 are introduced, and different criteria are set according to different density levels, so that the evaluation is more flexible. Different density levels may require different management and service policies, and by setting multiple thresholds, the system can better accommodate different situations and needs. And (3) marking the area with the real-time people flow density coefficient exceeding the first density threshold value X1 as a first peak area by setting the condition exceeding the threshold value 130%, so as to realize the fine division of the abnormal congestion area. Similarly, the abnormal judgment of the flow density of children and old people is also marked in detail. And comparing the real-time people stream density coefficient with a density threshold value, and clearly marking the state of the area, including the peak area and the low peak area. Such indicia facilitate the scenic spot manager to quickly learn about congestion conditions in different areas of the scenic spot, thereby enabling more targeted management to be taken. The densities of the children and the old people are respectively and independently evaluated, so that the distribution situation of tourists at different age groups in the scenic spot can be more comprehensively known. This helps to provide more personalized services, especially in exceptional situations, which can be handled more targeted.
Embodiment 4, which is an explanation of embodiment 1, referring to fig. 1, specifically, the barrier-free facility collection module 4 includes an elevator information collection unit 41, a blind road information collection unit 42, a wheelchair lease point collection unit 43, a cart lease point collection unit 44, a temporary channel collection unit 45, and an electronic map creation unit 46;
the elevator information collection unit 41 is used for collecting the specific position, the coverage area, the capacity and the elevator running state of the elevator in the scenic spot, and remarkably marking the elevator position by establishing an obstacle-free facility map in the electronic map unit 46;
the blind road information acquisition unit 42 is used for acquiring specific path, length, connected scenic spot or building information of the blind road, detecting whether the blind road has an obstacle or not by using a camera technology, and updating the obstacle-free facility map;
The wheelchair lease point acquisition unit 43 is used for acquiring the position, the available quantity and the wheelchair type of the wheelchair lease point in real time; marking a wheelchair leasing point on the barrier-free facility map, and updating the state of the leasing point;
The cart lease point collection unit 44 is configured to collect a specific position, a cart type, and an available number of cart lease points in real time, mark the cart lease points on an unobstructed facility map, and update a status of the lease points in real time;
The temporary channel acquisition unit 45 is used for acquiring the position and the length of a temporary channel temporarily increased in a scenic spot in real time and marking the temporary channel on an unobstructed facility map;
the electronic map setting up unit 46 is configured to select GoogleMaps, openStreetMap one of the frames, set up an unobstructed facility map, and mark the locations of elevators, blind sidewalks, wheelchair rental points, cart rental points, and temporary aisle unobstructed facilities on the map.
In this embodiment, detailed information of various barrier-free facilities in the scenic spot is collected in real time through each collection unit including an elevator, a blind road, a wheelchair leasing point, a cart leasing point and a temporary channel. This ensures the comprehensiveness and accuracy of the unobstructed facilities map so that a particular crowd can conveniently learn and utilize the facilities. For the wheelchair leasing point and the trolley leasing point, the acquisition unit not only acquires the position and the quantity information, but also updates the state of the leasing point in real time. Therefore, the special crowd can acquire accurate usable states when the facilities are needed to be used, and the practicability of the facilities is improved. The blind road information acquisition unit 42 detects whether an obstacle exists on the blind road through a camera technology, and updates the map in a non-obstacle facility map in time. The intelligent detection mechanism improves the safety of special people in scenic spots, and ensures that the special people can smoothly and safely use blind roads. And one of the frames is selected GoogleMaps, openStreetMap to establish an unobstructed facility map, so that the system has more flexibility and universality. The selectivity is beneficial to the adaptability of the system, a more suitable map frame can be selected according to specific requirements, and the accuracy and the practicability of the map are ensured. The elevator information collection unit 41 marks the position of the elevator significantly by creating an electronic map so that a particular crowd can easily find the elevator. Such a significant marking improves the convenience of a particular crowd navigating within a scenic spot.
Embodiment 5, which is an explanation of embodiment 1, referring to fig. 1, specifically, the special group identification module 5 includes an identification unit 51 and a location calculation unit 52;
the identifying unit 51 is configured to perform image identification on a specific crowd in the video data set, including disabled persons, elderly persons, and children, using a deep learning model;
The position calculating unit 52 is configured to determine an accurate position of the special crowd in the scenic spot by using real-time position information of the special crowd in the video data set in combination with an indoor positioning technology;
Based on the positions of special crowds, obtaining barrier-free facility points within a distance of 50 meters and 200 meters to 1000 meters, and if related barrier-free facilities are not available within the distance of 1000 meters, generating a first remote assistance scheme.
In the present embodiment, by introducing the deep learning model, the recognition unit 51 can efficiently and accurately recognize specific people in the video data set, including handicapped people, old people, and children. The intelligent recognition mechanism greatly improves the attention of special people and provides more personalized service for the special people. The location calculation unit 52 precisely determines the location of the particular crowd within the attraction by combining real-time location information with indoor location techniques. This accurate positioning mechanism ensures accurate monitoring of a particular population, enabling the system to provide services and assistance more finely. Based on the position of the special crowd, the system can intelligently generate a navigation chart and display the barrier-free facility points within the distance of 50 meters and 200 meters to 1000 meters. This allows special groups to easily find and utilize nearby unobstructed facilities, improving their autonomy and comfort in the scenic spot. When there is no associated unobstructed facility within 1000 meters of distance, the system generates a first remote assistance scenario. Such remote assistance schemes include calling remote assistance in real time through smart television screens and voice, such as scenic spot workers or volunteers, and taking special people through scenic spot vehicles to the nearest point of unobstructed installation. This provides emergency, remote service support for a particular group of people.
Embodiment 6, which is explained in embodiment 1, referring to fig. 1, specifically, the guiding module 6 includes a first pre-warning unit 61, a second pre-warning unit 62, and a third pre-warning unit 63;
The first early warning unit 61 is configured to generate first early warning information according to a first peak area of a real-time generation mark, display the first early warning information on a smart television screen or a navigation screen, and remind a tourist of the current scenic spot situation through voice prompt and guidance;
the second early warning unit 62 is configured to generate second early warning information according to a second peak area that generates a mark in real time, display the second early warning information on a smart tv screen or a navigation screen, remind the tourist of the current scenic spot situation through voice prompt and guidance, and set as first priority push information;
The third pre-warning unit 63 is configured to generate third pre-warning information according to a third peak area that generates a mark in real time, display the third pre-warning information on the smart tv screen or the navigation screen, prompt the tourist about the current scenic spot area situation through voice prompt and guidance, and set the second priority push information.
In this embodiment, the first, second and third pre-warning units 63 generate corresponding pre-warning information according to the peak areas of the real-time generated marks. The information is displayed through the intelligent television screen or the navigation screen, so that tourists can acquire the people flow condition of the current scenic spot area in real time. The real-time display is beneficial to tourists to better know the congestion condition of the scenic spot, and improves the perception of the scenic spot environment. The early warning information is displayed in a visual mode, and the tourist is reminded of the current scenic spot area through the voice prompt and guide function. The multiple transmission mode enhances the effective transmission of information, so that tourists can more easily understand and respond to the early warning information. The information generated by the second and third warning units 63 may be set as priority push information. This means that for the second peak area its information is set to the first priority push and for the third peak area its information is set to the second priority push. Such staged pushing helps guests make decisions more targeted, especially in situations where measures need to be taken to avoid high density areas.
Embodiment 7, which is explained in embodiment 1, referring to fig. 1, specifically, the guiding module 6 includes a first guiding unit 64 and a second guiding unit 65;
The first guiding unit 64 is configured to guide the child and the guardian to go from the second peak area to the first low peak area or calculate the nearest barrier-free facility path to dredge according to the crowd of the child traffic in the second peak area by means of voice broadcasting and manual guiding, so as to avoid congestion;
The second guiding unit 65 is configured to guide the elderly people to go from the third peak area to the first low peak area or calculate the accessible facility path closest to the elderly people to dredge according to the elderly people traffic in the third peak area by means of voice broadcasting and manual guiding, so as to avoid congestion.
In this embodiment, the first guiding unit 64 and the second guiding unit 65 provide directional guidance for the two special people by voice broadcasting and manual guidance according to the peak areas of the flow of children and old people. This personalized guidance helps ensure that children and elderly people move more safely and comfortably within the scenic spot. The goal of the guiding unit is to guide children and elderly people from peak areas to low peak areas or calculate the nearest unobstructed utility path to be dredged. By avoiding high density areas, these special groups can more easily visit scenic spots, reducing the inconvenience and security risks that may be faced in crowded areas. The perceptibility of the information can be improved by using a voice broadcasting mode. Especially for the old and children, the voice prompt is more visual and easy to understand, and the effective transmission of the guiding information is increased.
In embodiment 8, which is explained in embodiment 1, referring to fig. 1, specifically, the guiding module 6 further includes a third guiding unit 66, and when the third guiding unit 66 identifies the disabled person, the disabled person is guided to travel based on the path of the disabled person from the nearest accessible facility through voice broadcasting and manual guiding.
In this embodiment, the personalized guidance service of the third guidance unit 66 meets the special requirements of the handicapped, and provides the most suitable route and mode for the actual location and distribution of the accessible facilities, so that the handicapped can move in the scenic spot more conveniently. By guiding handicapped persons to the nearest unobstructed facilities, it is helpful to increase the utilization of these facilities. Handicapped people can access the accessible facilities more conveniently, so that the comprehensiveness and popularity of service in scenic spots are improved. By guiding the handicapped person away from areas of high density or other areas that may cause discomfort to them, the likelihood of the handicapped person experiencing trouble and inadaptation in the scenic spot is reduced. This helps to promote their overall experience within the scenic spot. Providing special guiding service for handicapped people and improving the sightseeing experience in scenic spots. Such personalized and careful services can alleviate difficulties that may be encountered by handicapped persons during their tour, increasing their engagement and the likelihood of being willing to visit again.
Embodiment 9, this embodiment is an explanation of embodiment 1, referring to fig. 1, specifically, the special group identification module 5 further includes a remote assistance scheme generating unit 53, where the remote assistance scheme generating unit 53 is configured to determine whether there is an unobstructed facility within a range of 50 meters, 200 meters to 1000 meters from the location information of the special crowd and the unobstructed facility map; if the specific crowd exists, providing a real-time navigation chart and a voice prompt, and guiding the specific crowd to reach the nearest barrier-free facility point;
If no related barrier-free facilities exist within 1000 meters, triggering a first remote assistance scheme to generate, calling remote assistance in real time through a smart television screen and voice, wherein the remote assistance scheme comprises scenic spot workers or volunteers, and using scenic spot vehicles to pick up special people to reach the nearest barrier-free facilities.
In the present embodiment, the remote assistance scheme generating unit 53 can provide a real-time navigation service by combining the position information of the specific crowd and the barrier-free facility map. This allows a particular crowd to quickly gain access to the most recently unobstructed facilities, improving their convenience of movement within the scenic spot. For the situation that barrier-free facilities exist within the range of 50 meters and 200 meters to 1000 meters, a real-time navigation chart and a voice prompt are generated, so that special people can more intuitively and conveniently know how to reach a target barrier-free facility point, and user experience is improved. The remote assistance scheme generating unit 53 may trigger the first remote assistance scheme when there is no relevant unobstructed facility within 1000 meters of distance. Through smart television screens and voice communication systems, special people can call remote assistance in real time, including scenic spot workers or volunteers. The remote assistance mechanism provides immediate support and assistance for special people, and increases flexibility and individuation of scenic spot services. When the remote assistance scheme is triggered, including scenic spot workers or volunteers, can quickly pick up special people through scenic spot vehicles to reach the nearest accessible facility point. The service mode is more efficient, ensures that special people can reach the destination timely and safely, and improves the service level of scenic spots.
Embodiment 10, which is explained in embodiment 1, please refer to fig. 1, and specifically further includes a social interaction module 7, where the social interaction module 7 is configured to introduce a special crowd mutual assistance community into the APP, share a real-time location, and enable the special crowd to add a location reference mark on an unobstructed facility map, including an unobstructed facility entrance and an emergency exit, so that other members find a critical location; including marking the nearest unobstructed utility entry and emergency exit.
In this embodiment, by introducing a community of mutual assistance of special people in the APP, the system facilitates the association and interaction between the special people. The social interaction platform provides a community space which is shared by experiences and mutually supports for special groups, so that the special groups can share information, feelings and suggestions about scenic spots. The social interaction module 7 allows special groups to share real-time locations in a mutual community. This real-time location sharing functionality enables community members to know each other's location, improving each other's perceptibility and collaboration capabilities. The location of other members may be better known to a particular group of people to provide support or to conduct collaborative activities when desired.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A local information intelligent service platform based on a set top box is characterized in that: the system comprises a deployment set top box module (1), a real-time scenic spot people flow monitoring module (2), a first evaluation module (3), an unobstructed facility acquisition module (4), a special group identification module (5) and a guiding module (6);
The deployment set top box module (1) is used for connecting and supporting an external camera and an intelligent television screen on the set top box to complete the configuration of set top box software, and comprises network setting, language selection and account login; the external camera and the intelligent television screen are deployed and installed in the scenic spot area and used for collecting scenic spot video data in real time;
The real-time scenic spot people stream monitoring module (2) is used for collecting real-time scenic spot people stream video data through an external camera connected with the set top box and establishing a real-time video data set;
The first evaluation module (3) is used for analyzing and calculating a real-time video data set by utilizing mechanical learning and computer vision technology, acquiring a real-time people stream density coefficient RLx, a children stream density coefficient RTx and an elderly stream density coefficient RAx, comparing the real-time people stream density coefficient RLx, the children stream density coefficient RTx and the elderly stream density coefficient RAx with a standard threshold X, acquiring a high-density region result according to an evaluation result, marking the high-density region result as a first peak region, acquiring a low-density region result according to the evaluation result, and marking the low-density region result as a first low-peak region;
the barrier-free facility acquisition module (4) is used for acquiring barrier-free facilities in a scenic spot, wherein the barrier-free facilities comprise elevators, blind roads, wheelchair leasing points, cart leasing points and temporary channels, constructing a barrier-free facility map, and acquiring specific positions of the barrier-free facilities in real time to update the barrier-free facility map;
The special group identification module (5) is used for identifying special crowds in the video data set through an image identification technology and a face recognition technology, locating the positions of the special crowds in a scenic spot, collecting and calculating to obtain nearest barrier-free facilities within 1000 meters, intelligently generating a navigation chart through the guide module (6) according to the locating of the nearest barrier-free facilities within 1000 meters, and reminding the special crowds of selecting nearest barrier-free facility paths in real time through the intelligent television screen and voice.
2. The set-top box-based local information intelligent service platform according to claim 1, wherein: the first evaluation module (3) comprises a real-time people stream density calculation unit (31);
the real-time people stream density calculating unit (31) is used for processing, identifying and analyzing real-time video data by using machine learning, computer vision technology and face recognition technology, and calculating and acquiring a real-time people stream density coefficient RLx by the following formula:
；
；
；
Wherein zrs represents the number of people monitored in real time in the area, qyzmj represents the total area of the scenic spot area, T1 represents the refresh frequency of the number of people monitored in real time, and also represents the time interval for calculating the people flow density; rtrs is a statistical child number for identifying child populations with heights below 1.5; lrs is a numerical value of the elderly obtained through face recognition; c 1 is denoted as a first correction constant, C 2 is denoted as a second correction constant, and C 3 is denoted as a third correction constant.
3. The set-top box-based local information intelligent service platform according to claim 1, wherein: the first evaluation module (3) further comprises an evaluation unit (32), wherein the evaluation unit (32) is used for presetting a standard threshold value X and evaluating the people stream, and the standard threshold value X comprises a first density threshold value X1, a second density threshold value X2 and a third density threshold value X3;
Comparing the real-time people stream density coefficient RLx with a first density threshold value X1, and generating a first abnormal congestion result when the real-time people stream density coefficient RLx is larger than the first density threshold value X1 and exceeds 130%, and marking the first abnormal congestion result as a first peak area;
When the real-time people flow density coefficient RLx is more than or equal to the first density threshold value X1 and is not more than 130%, the people flow in the area is normal;
when the real-time people stream density coefficient is smaller than a first density threshold value X1, marking as a first low peak area;
comparing the children's induced abortion density coefficient RTx with a second density threshold value X2, and when the children's induced abortion density coefficient RTx is more than or equal to the second density threshold value X2, generating a second abnormal congestion result, and marking the second abnormal congestion result as a second peak area;
When the density coefficient RTx of the children's induced abortion is smaller than the second density threshold value X2, the induced abortion of the children is normal;
comparing the flow density coefficient RAx of the old with a third density threshold value X3, and generating a third abnormal congestion result when the flow density coefficient RAx of the old is more than or equal to the third density threshold value X3, and marking the third abnormal congestion result as a third peak area;
When the flow density coefficient RAx of the old is smaller than the third density threshold value X3, the old is normally flowed.
4. The set-top box-based local information intelligent service platform according to claim 1, wherein: the barrier-free facility acquisition module (4) comprises an elevator information acquisition unit (41), a blind road information acquisition unit (42), a wheelchair lease point acquisition unit (43), a trolley lease point acquisition unit (44), a temporary channel acquisition unit (45) and an electronic map building unit (46);
The elevator information acquisition unit (41) is used for acquiring the specific position, the coverage area, the capacity and the elevator running state of the elevator in the scenic spot, and obviously marking the elevator position by establishing an obstacle-free facility map in the electronic map unit (46);
The blind road information acquisition unit (42) is used for acquiring specific path, length and connected scenic spot or building information of the blind road, detecting whether the blind road has an obstacle or not by using a camera technology, and updating the obstacle-free facility map;
the wheelchair lease point acquisition unit (43) is used for acquiring the position, the available quantity and the wheelchair type of the wheelchair lease point in real time; marking a wheelchair leasing point on the barrier-free facility map, and updating the state of the leasing point;
the trolley lease point acquisition unit (44) is used for acquiring the specific positions, trolley types and available quantity of trolley lease points in real time, marking the trolley lease points on an obstacle-free facility map and updating the states of the lease points in real time;
the temporary channel acquisition unit (45) is used for acquiring the position and the length of a temporary channel temporarily increased in a scenic spot in real time and marking the temporary channel on an obstacle-free facility map;
the electronic map setting-up unit (46) is used for selecting GoogleMaps, openStreetMap one of the frames, setting up an obstacle-free facility map, and marking the positions of the elevators, the blind sidewalks, the wheelchair leasing points, the trolley leasing points and the temporary channel obstacle-free facilities on the map.
5. The set-top box-based local information intelligent service platform according to claim 1, wherein: the special group identification module (5) comprises an identification unit (51) and a position calculation unit (52);
the identification unit (51) is used for carrying out image identification on special crowds in the video data set by using a deep learning model, wherein the special crowds comprise handicapped persons, old people and children;
The position calculation unit (52) is used for determining the accurate position of the special crowd in the scenic spot by utilizing the real-time position information of the special crowd in the video data set and combining the indoor positioning technology;
Based on the positions of special crowds, obtaining barrier-free facility points within a distance of 50 meters and 200 meters to 1000 meters, and if related barrier-free facilities are not available within the distance of 1000 meters, generating a first remote assistance scheme.
6. The set-top box-based local information intelligent service platform according to claim 1, wherein: the guiding module (6) comprises a first early warning unit (61), a second early warning unit (62) and a third early warning unit (63);
The first early warning unit (61) is used for generating first early warning information according to a first peak area of the real-time generation mark, displaying the first early warning information on a smart television screen or a navigation screen, and reminding tourists of the current scenic spot situation through voice prompt and guidance;
The second early warning unit (62) is used for generating second early warning information according to a second peak area of the real-time generation mark, displaying the second early warning information on a smart television screen or a navigation screen, reminding tourists of the current scenic spot situation through voice prompt and guidance, and setting the current scenic spot situation as first priority push information;
The third early warning unit (63) is used for generating third early warning information according to a third peak area of the real-time generation mark, displaying the third early warning information on the intelligent television screen or the navigation screen, reminding tourists of the current scenic spot area condition through voice prompt and guidance, and setting the information as second priority push information.
7. The set-top box-based local information intelligent service platform according to claim 1, wherein: the guiding module (6) comprises a first guiding unit (64) and a second guiding unit (65);
The first guiding unit (64) is used for guiding children and guardianship to go to the first low peak area from the second peak area or calculating the nearest barrier-free facility path to dredge according to the children traffic crowd in the second peak area in a voice broadcasting and manual guiding mode so as to avoid congestion;
the second guiding unit (65) is used for guiding the elderly people to go to the first low peak area from the third peak area or calculating the accessible facility path closest to the elderly people to dredge according to the elderly people traffic of the third peak area in a voice broadcasting and manual guiding mode, so as to avoid congestion.
8. The set-top box-based local information intelligent service platform according to claim 1, wherein: the guiding module (6) further comprises a third guiding unit (66), and when the third guiding unit (66) identifies the disabled person, the disabled person is guided to travel based on the route of the disabled person from the nearest barrier-free facility in a voice broadcasting and manual guiding mode.
9. The set-top box-based local information intelligent service platform according to claim 8, wherein: the special group identification module (5) further comprises a remote assistance scheme generation unit (53), wherein the remote assistance scheme generation unit (53) is used for judging whether barrier-free facilities exist in the range of 50 meters and 200 meters to 1000 meters in combination with the position information of the special group and the barrier-free facility map; if the specific crowd exists, providing a real-time navigation chart and a voice prompt, and guiding the specific crowd to reach the nearest barrier-free facility point;
If no related barrier-free facilities exist within 1000 meters, triggering a first remote assistance scheme to generate, calling remote assistance in real time through a smart television screen and voice, wherein the remote assistance scheme comprises scenic spot workers or volunteers, and using scenic spot vehicles to pick up special people to reach the nearest barrier-free facilities.
10. The set-top box-based local information intelligent service platform according to claim 9, wherein: the intelligent navigation system further comprises a social interaction module (7), wherein the social interaction module (7) is used for introducing a special crowd mutual assistance community into the APP, sharing real-time positions, and the special crowd can add position reference marks on an unobstructed facility map, including an unobstructed facility import and an emergency exit, so that other members can find key places; including marking the nearest unobstructed utility entry and emergency exit.
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