A multi-subject-oriented urban high temperature forecast and health decision-making support system

By utilizing a multi-stakeholder urban high-temperature forecasting and health-supporting decision-making system, and leveraging map APIs and backend data interfaces, the system provides urban high-temperature index queries and multi-topic button units. This addresses the issues of low accuracy and insufficient adaptability in existing high-temperature forecasts, enabling efficient high-temperature health risk early warning and decision support.

CN113870084BActive Publication Date: 2025-01-10FUZHOU UNIV
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Patent Information

Application Number
CN202111174804.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-10-09
Publication Date
2025-01-10
Estimated Expiration
2041-10-09

AI Technical Summary

Technical Problem

The existing meteorological disaster early warning information release system is insufficient in terms of forecast accuracy and adaptability, especially in the case of high temperature forecasts for multiple urban stakeholders, which lack accurate and interactive health-related decision support.

Method used

A city high temperature forecast and health auxiliary decision-making system for multiple stakeholders was designed. Through map API and backend data interface, it provides city high temperature index query and multi-topic button unit, supports high spatiotemporal resolution high temperature warning for different cities, and provides high temperature health risk auxiliary decision support according to user scenario needs.

Benefits of technology

It enables high-temperature health risk early warning and practical guidance for multiple urban stakeholders, supports personalized high-temperature decision support, and improves forecast accuracy and adaptability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a city high temperature forecast and health decision-making support system for multiple subjects, including a front-end functional module responsible for providing a visual operation interface to users and a back-end module responsible for processing data generated when users browse and operate the front-end functional module. The front-end functional module is based on a city high temperature index unit connected to a map API and a function card unit based on multi-scenario requirements, while the back-end module is a new module in the column management based on the former city high temperature index unit and function card unit. The city high temperature forecast and health decision-making support system for multiple subjects not only supports high-temporal and spatial resolution high temperature warning forecasts for different cities, but also can guide multiple urban subjects to formulate policies and practices for mitigating high temperatures and provide decision-making support for adapting to and mitigating high temperatures according to the scenario requirements of users in the city.
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Description

Technical Field

[0001] The present invention belongs to the technical field of meteorological services, and in particular relates to a city high temperature forecast and health decision-making assistance system for multiple subjects. Background Art

[0002] According to the meteorological service objects, meteorological services can be divided into decision-making meteorological services, public meteorological services, professional meteorological services and scientific and technological services. Public meteorological decision-making services are daily meteorological services provided to the public. At present, refined meteorological element forecasts, quantitative precipitation forecasts, forecasts of disastrous weather areas, climate impact assessments, and short-term climate forecasts have been carried out. Preliminary monitoring and early warning services for the approaching, short-term and short-term disastrous weather such as heavy rain, hail, lightning, high temperature, strong winds, cold waves, and heavy fog have been established.

[0003] Existing meteorological disaster warning information release system devices, such as "a system and method for releasing meteorological disaster warning information based on mobile client" with application number 201110319364.2, are: ... including the following methods and steps: a meteorological disaster warning information platform receives meteorological disaster warning information released by the meteorological authority, the platform sets the location information to be queried provided by the service receiving end on the network side, the warning platform establishes a connection with the mobile terminal client, including establishing and maintaining a long connection with the mobile client supporting the permanent online push function, and the client periodically sends a query request to the warning platform in two forms, to ensure that the meteorological disaster information is pushed to the user's mobile terminal in a timely and reliable manner ..., although it solves the problem of making different reminders to check according to the warning level of the warning information, there are still some deficiencies: for example, in terms of forecast products, only the single meteorological element of temperature is considered for forecasting, and the forecast is limited to warning in administrative areas, resulting in low forecast accuracy, weak reference of forecast information, short forecast period and other problems; in terms of auxiliary decision support, only professional services are provided to industries and departments, and there is a lack of interactive mobile application products that meet the behavioral and practical needs of multiple urban subjects such as individuals, communities and governments to mitigate and adapt to high temperatures. Summary of the invention

[0004] The purpose of the present invention is to provide a city high temperature forecast and health decision-making support system for multiple subjects to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a multi-subject-oriented urban high temperature forecast and health decision-making support system, comprising:

[0006] A front-end functional module responsible for providing users with a visual operation interface;

[0007] A backend module responsible for processing the data generated when users browse and operate the frontend functional modules;

[0008] The front-end functional module is a city high temperature index unit based on access to the map API and a function card unit based on multi-scenario requirements, while the back-end module is a newly added module in the column management based on the former city high temperature index unit and function card unit; the city high temperature index unit based on access to the map API in the front-end functional module is a map layer unit that queries and displays the city high temperature index based on the map API search interface and the back-end data interface; the function card unit based on multi-scenario requirements in the front-end functional module is an intelligent high temperature card based on the back-end data interface, a high temperature health risk auxiliary decision support card for multiple urban subjects, and a multi-theme button unit for users to select according to scenario requirements.

[0009] Furthermore, the high temperature health risk auxiliary decision support card module for multiple urban entities includes:

[0010] High temperature health risk cards for the public are used to warn tourists, the elderly, children, and patients with cardiovascular and cerebrovascular diseases about high temperature health risks on the current day and in the next day and provide practical guidance.

[0011] Outdoor work guidance cards are used to display high temperature health risk warnings and practical guidance for food delivery professionals and high temperature work professionals for the current day and the next day. Furthermore, the intelligent high temperature card module searches for geographic locations based on the map API and displays and displays the high temperature conditions and high temperature travel tips for the current location. At the same time, the high temperature travel tips are configured according to the newly added modules in the background module column management.

[0012] Furthermore, the city high temperature index unit includes:

[0013] The main interface of the functional module displays the city heat index layer through the map API and the background data interface;

[0014] Module function title, used to display "City High Temperature Index" on the page after entering the module;

[0015] Module functional requirements include: layer display, location search, and date playback bar.

[0016] Furthermore, the newly added module in the column management is a newly added "high temperature index" module entry in the column management, and the submodules include: a layer data module and a prompt setting module.

[0017] Furthermore, the multi-theme button unit for users to select according to scene requirements is based on displaying three buttons of cooling off, medical treatment and scenic spots on the right side of the map, and corresponds to the layers in the layer data module: three types of layers: cooling off facilities, medical facilities and scenic spots.

[0018] Furthermore, the layer display and location search in the module functional requirements are based on the map API and the background data interface to search for the location and when the location is displayed, the area displaying the search location on the map is superimposed with a city high temperature index color map.

[0019] Furthermore, the multi-theme button unit corresponds to the layer in the layer data module, and its function is to select any layer, and display the corresponding layer point on the map. The point style is displayed according to the type of layer option, and supports multiple selections to display layers of the same type.

[0020] Furthermore, first select one type of layer to display, and then select another type of layer. The original layer will be closed. After selecting the layer, click the area outside the expansion bar to collapse the expansion options.

[0021] Furthermore, the components of the layer data module are:

[0022] Cooling facilities, point types include subway stations, parks, shopping malls and supermarkets, and public buildings. The data list column names show the point name, point type, city, longitude, and latitude fields;

[0023] Medical facilities, point types include health services and general hospitals, and the data list column names show the point name, point type, city, longitude, and latitude fields;

[0024] For scenic spots and tourist areas, there is no point type field, and the data list column names display the point name, city, longitude, and latitude fields.

[0025] Furthermore, the components of the prompt setting module are:

[0026] For ordinary people, the data list column names display prompt words and level types; for tourists, the data list column names display prompt words and level types; for the elderly, the data list column names display prompt words and level types; for children, the data list column names display prompt words and level types; for patients with cardiovascular and cerebrovascular diseases, the data list column names display prompt words and level types; for food delivery groups, the data list column names display prompt words and level types; for people working in high temperatures, the data list column names display prompt words and level types.

[0027] Technical effects and advantages of the present invention:

[0028] The urban high temperature forecast and health decision-making support system for multiple subjects has a front-end functional module that queries and displays the urban high temperature index based on the map API and the back-end data interface, and a multi-theme button unit for users to select according to scene requirements. At the same time, it can display intelligent high temperature cards based on the searched location and high temperature health risk decision-making support card modules for multiple urban subjects. The above application not only supports high-temporal and spatial resolution high temperature warning forecasts for different cities, but also can guide multiple urban subjects to formulate policies and practices to mitigate high temperatures and provide decision-making support for adaptation and mitigation of high temperatures according to the scene requirements of users in the city;

[0029] The smart high temperature card can query whether there will be high temperature at the location in the next 24 hours. At the same time, it can display the high temperature level of the location or the expected high temperature period by displaying the results, providing efficient and accurate support for making decisions to mitigate and adapt to high temperatures to meet the needs of multiple urban entities. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The high temperature health risk level matching table for the population of the present invention;

[0031] Figure 2 It is a functional structure diagram of a local system of the present invention;

[0032] Figure 3 It is the overall system functional structure diagram of the present invention. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0034] A city high temperature forecast and health auxiliary decision-making system for multiple subjects, including a front-end functional module for providing a user with a visual operation interface and a back-end module for processing data generated when the user browses and operates the front-end functional module. The front-end functional module is a city high temperature index unit based on access to a map API and a function card unit based on multiple scene requirements, while the back-end module is a newly added module in the column management based on the former city high temperature index unit. The city high temperature index unit based on access to a map API in the front-end functional module is a map layer unit that performs city high temperature index query and display based on a map API search interface and a back-end data interface; the function card unit based on multiple scene requirements in the front-end functional module is an intelligent high temperature card based on a back-end data interface, a high temperature health risk auxiliary decision support card for multiple city subjects, and a multi-theme button unit for users to select according to scene requirements.

[0035] The high temperature health risk auxiliary decision support card module for multiple urban entities includes crowd high temperature health risk cards and outdoor work guidance cards. The crowd high temperature health risk cards are used for the high temperature health risk warning and practical guidance for tourists, the elderly, children, and patients with cardiovascular and cerebrovascular diseases on the same day and the next day; the outdoor work guidance cards are used to display the high temperature health risk warning and practical guidance for the takeaway delivery occupational groups and high temperature work occupational groups on the same day and the next day.

[0036] The smart high temperature card searches for geographic location based on the map API and displays the high temperature conditions and high temperature travel tips for the current location. At the same time, the high temperature travel reminder is configured according to the new module in the background module column management.

[0037] Urban heat index units include:

[0038] The main interface of the functional module displays the city heat index layer through the map API and the background data interface;

[0039] Module function title, used to display "City High Temperature Index" on the page after entering the module;

[0040] Module functional requirements include: layer display, location search, and date playback bar.

[0041] The newly added module in column management is the newly added "High Temperature Index" module entrance in column management, and the sub-modules include: layer data module and prompt setting module.

[0042] The multi-theme button unit for users to choose according to scene requirements is based on the display of three buttons on the right side of the map: cooling facilities, medical facilities, and scenic spots, and corresponds to the layers in the layer data module: three types of layers: cooling facilities, medical facilities, and scenic spots; when searching and displaying locations based on the map API and background data interface, the area displayed on the map is superimposed with the city's high temperature index color map; the multi-theme button unit is to select any layer, and the corresponding layer point is displayed on the map. The point style is displayed according to the type of layer option, and multiple selections of the same type of layers are supported; first select one type of layer to display, and then select another type of layer, the original layer will be closed. After selecting the layer, click the area outside the expansion bar to collapse the expansion option;

[0043] Columns are established in the layer data module, including cooling facilities. The point types include subway stations, parks, shopping malls and supermarkets, and public buildings. The data list column names display the point name, point type, city, longitude, and latitude fields; medical facilities, point types include health services and general hospitals, and the data list column names display the point name, point type, city, longitude, and latitude fields; scenic spots and tourist attractions have no point type field, and the data list column names display the point name, city, longitude, and latitude fields.

[0044] Columns are established in the prompt module, including ordinary people, whose data list column names display prompts and level types; tourists, whose data list column names display prompts and level types; the elderly, whose data list column names display prompts and level types; children, whose data list column names display prompts and level types; patients with cardiovascular and cerebrovascular diseases, whose data list column names display prompts and level types; takeaway delivery groups, whose data list column names display prompts and level types; high temperature operation groups, whose data list column names display prompts and level types;

[0045] Front-end functional modules:

[0046] Function module entrance, when the application is positioned at the required location, the "High Temperature Index" entrance is displayed;

[0047] Enter the module through the entrance, and the page name will display "City Heat Index";

[0048] (1) Page:

[0049] The base map of the page is a map, with the boundary of the desired location outlined in the center. When high temperatures are forecast, the city's high temperature index color spot map is superimposed on the desired location area on the map. A high temperature color spot example bar is displayed above the play bar;

[0050] (2) Location search:

[0051] A search box is displayed at the top of the page, which is connected to the map API and the input field is used to query the corresponding location. At the same time, the page supports dotting on the map. According to manual arbitrary dotting or dotting on the searched point, the high temperature card positioning of the location is linked to control the location, and the high temperature index information of the corresponding location is displayed. (The search box displays the gray word "Search" by default. After clicking, a search record box pops up, retaining the latest 8 search records; click "X" to delete the records one by one; click "Clear Search List" below to delete all search records; click the return button on the left side of the search box or the area outside the search box and search list to exit the search).

[0052] (3) Facility menu:

[0053] The right side of the map displays three buttons: Cooling Off, Medical Treatment, and Scenic Spots. Click a button to expand the relevant layer options. Click Cooling Off to expand the "Subway Station", "Park", "Shopping Mall and Supermarket", and "Public Building" layer options; click "Medical Treatment" to expand the "Health Service" and "General Hospital" layer options. Select any layer, and the corresponding layer points will be displayed on the map. The point style will be displayed according to the type of layer option. It supports multiple selections to display layers of the same type (such as the Cooling Off type, which supports the simultaneous display of subway station and park layers); if you select to display one type of layer first, and then select another type of layer, the original layer will be closed (for example, the subway station and park layers were originally displayed, and after you select to display the health service layer, the subway station and park layers will be closed). After selecting the layer, click outside the expansion bar to collapse the expansion options;

[0054] Click the scenic spot button to directly display the location of the scenic spot on the map. Click the layer point, and the location on the high temperature card display will show the name of the point set in the background.

[0055] (4) Play bar:

[0056] When updating the 08-08 file, the playback bar displays the time nodes of today and the next 6 days;

[0057] When updating the 20-20 hour file, the playback bar will display the time nodes for tomorrow and the next 6 days;

[0058] Click the "Play" button to display the city heat index color map for the date corresponding to the positioning point;

[0059] If there is no high temperature risk for 7 days, the playback bar will be hidden;

[0060] (5) Intelligent high temperature card:

[0061] (a) By default, the high temperature reminder for the day / tomorrow is displayed based on the user's current location (marked with dots on the map). If the user reselects a location, the information is displayed based on the selected location;

[0062] (b) After the file is updated at 08-08, the high temperature reminder for the day is displayed; (high temperature reminder background configuration)

[0063] ① If the query location does not have high temperature in the next 24 hours, the following message will be displayed below the location: "It is expected that there will be no high temperature at the current location today", and the reminder will be hidden;

[0064] ② If the query location has high temperature, and the user is viewing this high temperature card before the high temperature period occurs, the following will be displayed below the location: It is expected that the current location will have high temperature in the next X hours, and the high temperature level is X;

[0065] ③ If the query location has high temperature, and the user is viewing this high temperature card during the high temperature period, the following will be displayed below the location: High temperature is expected at the current location, and the high temperature level is X;

[0066] ④ If the query location has high temperature, and the user is viewing this high temperature card after the high temperature period, it will be displayed below the location: It is estimated that the high temperature period at the current location has passed.

[0067] (c) After the file is updated at 20:00-20:00, tomorrow's high temperature reminder will be displayed; (high temperature reminder background configuration)

[0068] ① If the query location does not have high temperature in the next 24 hours, the following message will be displayed below the location: "It is expected that there will be no high temperature at the current location tomorrow", and the reminder will be hidden;

[0069] ② If the query location has high temperature, and the user is viewing this high temperature card before the high temperature period occurs, the following will be displayed below the location: It is expected that the current location will have high temperature in the next 24 hours, and the high temperature level is X;

[0070] (6) Card for the risk of high temperature health for the general public:

[0071] Including cards reminding tourists, the elderly, children, and patients with cardiovascular and cerebrovascular diseases about the high temperature health risks of today and tomorrow;

[0072] The card displays the name, icon, and high temperature risk level bar;

[0073] The high temperature risk level bar is returned according to the background data interface, and the corresponding high temperature index level is displayed (the corresponding position of the level is marked with color, and other areas are displayed in white). If there is no high temperature on that day, the level bar is hidden and "No health risk is expected" is displayed;

[0074] Click on any card, and a pop-up window will display the high temperature health risk reminder for the current day and the next day (08:00-08:00 file update, display the reminder of today's maximum temperature and tomorrow's maximum temperature; 20:00-20:00 file update, display the reminder of tomorrow's and the day after tomorrow's maximum temperature; different groups of people with different high temperature levels, the corresponding reminder picture is displayed on the left side of the reminder). If there is no high temperature risk, the level bar is hidden, and a reminder "No high temperature health risk is expected at the current location" is displayed in the center below the date;

[0075] (7) Outdoor work guidance card:

[0076] Display cards for takeaway food delivery and hot work;

[0077] (1) Initially, it is closed. After clicking the card area to open it, it will jump to the map point selection, support location search, and after confirming the location, the high temperature guidance will be displayed according to the high temperature conditions of the selected point;

[0078] (2) After opening the card, the switch in the upper right corner of the card will be turned on. The blue text below the card name shows the location of the selected point. If the location name exceeds 7 characters, the excess part will be displayed as "...". Click the location information or the edit button at the back to enter the map and reselect the point;

[0079] Column management of the backend module - high temperature index:

[0080] A new entry for the “High Temperature Index” module has been added to column management, and its sub-modules include “Layer Data” and “Prompt Settings”.

[0081] (1.1) Layer data:

[0082] (1) The layer data module includes three layer types: "cooling facilities", "medical facilities" and "scenic spots".

[0083] (2) Cooling facilities:

[0084] The list displays the fields of "Point Name", "Point Type", "City", "Longitude" and "Latitude";

[0085] Click the Add button, and the Add window will appear on the right. Edit the point name, point type, longitude, and latitude before submitting. The point name field is limited to a maximum of 12 characters; the point type options include "subway station", "park", "shopping mall", and "public building"; the city drop-down option is the name of the city;

[0086] The drop-down options for the query condition "Point Type" include "Please Select", "Subway Station", "Park", "Shopping Mall Supermarket", and "Public Building". The drop-down options for the city include "Please Select" and the name of the city.

[0087] (3) Medical facilities:

[0088] The types of medical facility locations include “health services” and “general hospitals”;

[0089] The drop-down options for the query condition "Point Type" include "Please Select", "Health Services", and "General Hospital";

[0090] (4) Scenic spots:

[0091] There is no point type field in scenic spots. The list shows the fields of "point name", "city", "longitude" and "latitude". A new function of editing, querying and deleting these fields has been added;

[0092] (1.2) High temperature warning:

[0093] (1) The list includes reminders for seven groups at different high temperature levels: "general population", "tourists", "elderly", "children", "cardiovascular and cerebrovascular disease patients", "takeout deliverymen", and "high temperature workers". All reminders are initially imported and can only be edited later, but not added;

[0094] (2) Edit the prompts. If you configure multiple prompts, after successful submission, they will be separated by semicolons in the list and displayed in separate lines on the app;

[0095] (3) Query conditions:

[0096] The drop-down options for the crowd type include "Please Select", "General Population", "Tourists", "Elderly", "Children", "Cardiovascular and Cerebrovascular Disease Patients", "Takeaway Delivery Personnel", and "High Temperature Workers";

[0097] The index level drop-down options include "Please Select", "Level I Blue", "Level II Yellow", "Level III Orange", and "Level IV Red".

[0098] The above description is only a preferred specific implementation manner of the invention, but the protection scope of the invention is not limited thereto. Any technician familiar with the technical field can make equivalent substitutions or changes within the technical scope disclosed by the invention according to the technical scheme and inventive concept of the invention, which should be covered by the protection scope of the invention.

Claims

1. A multi-subject-oriented urban high temperature forecast and health decision-making support system, including: A front-end functional module responsible for providing users with a visual operation interface; A backend module responsible for processing the data generated when users browse and operate the frontend functional modules; It is characterized in that: the front-end function module is a city high temperature index unit based on access to the map API and a function card unit based on multi-scenario requirements, while the back-end module is a new module in the column management based on the former city high temperature index unit and function card unit; The city high temperature index unit based on access to the map API in the front-end function module is a map layer unit that queries and displays the city high temperature index based on the map API search interface and the background data interface; the function card unit based on multi-scenario requirements in the front-end function module is an intelligent high temperature card based on the background data interface, a high temperature health risk auxiliary decision support card for multiple urban entities, and a multi-theme button unit for users to select according to scenario requirements; The urban high temperature index unit includes: The main interface of the function module displays the city heat index layer through the map API and the background data interface; the module function title is used to display "City Heat Index" on the page name after entering the module; Module functional requirements include: layer display, location search, and date playback bar; The newly added module in the column management is the column management newly added "high temperature index" module entrance, and the submodules include: layer data module and prompt setting module; The components of the layer data module and the prompt setting module are: Cooling facilities, point types include subway stations, parks, shopping malls and supermarkets, and public buildings. The data list column names show the point name, point type, city, longitude, and latitude fields; Medical facilities, point types include health services and general hospitals, and the data list column names show the point name, point type, city, longitude, and latitude fields; For scenic spots and scenic areas, there is no point type field, and the data list column names display the point name, city, longitude, and latitude fields; For ordinary people, the column names in the data list display prompts and level types; For visitors, the column names in the data list display prompts and level types; For the elderly, the column names in the data list display prompts and level types; For children, the column names in the data list display prompts and level types; For patients with cardiovascular and cerebrovascular diseases, the column names in the data list display prompts and level types; For the takeaway delivery group, the column name of the data list displays the prompt and level type; For high temperature working groups, the column names in the data list display prompts and grade types.

2. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 1 is characterized in that: The high temperature health risk auxiliary decision-making card module for multiple urban entities includes: The high temperature health risk cards for the crowd are used to provide warnings and practical guidance on high temperature health risks for tourists, the elderly, children, and patients with cardiovascular and cerebrovascular diseases on the same day and the next day; the outdoor work guidance cards are used to display warnings and practical guidance on high temperature health risks for the takeaway delivery occupational groups and high temperature work occupational groups on the same day and the next day.

3. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 1 is characterized in that: The intelligent high temperature card module searches for geographic location based on the map API and displays and shows the high temperature conditions and high temperature travel tips at the current location. At the same time, the high temperature travel prompts are configured according to the newly added modules in the background module column management.

4. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 1 is characterized in that: The multi-theme button unit for users to select according to scene requirements is based on displaying three buttons of cooling off, medical treatment and scenic spots on the right side of the map, and corresponds to the layers in the layer data module: three types of layers: cooling off facilities, medical facilities and scenic spots.

5. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 1 is characterized by: The layer display and location search in the module functional requirements are based on the map API and the background data interface to search for the location. When the location is displayed, the area where the search location is displayed on the map is superimposed with a city high temperature index color map.

6. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 4 is characterized by: The multi-theme button unit corresponds to the layer in the layer data module, and its function is to select any layer and display the corresponding layer point on the map. The point style is displayed according to the type of layer option, and supports multiple selections to display layers of the same type.

7. The multi-subject-oriented urban high temperature forecast and health decision-making support system according to claim 6 is characterized by: First select one type of layer to display, then select another type of layer. The original layer will be closed. After selecting the layer, click the area outside the expansion bar to collapse the expansion options.

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