CN113870084A - City high-temperature forecasting and health assistant decision-making system oriented to multi-element main body - Google Patents
City high-temperature forecasting and health assistant decision-making system oriented to multi-element main body Download PDFInfo
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Abstract
The invention discloses a multivariate main body-oriented urban high-temperature forecasting and health assistant decision-making system, which comprises a front-end functional module and a background module, wherein the front-end functional module is used for providing a visual operation interface for a user, and the background module is used for processing data generated when the user browses and operates the front-end functional module. The front-end function module is based on an urban high-temperature index unit accessed to a map API and a function card unit based on multi-scene requirements, and the background module is based on a newly-added module in column management of the urban high-temperature index unit and the function card unit. The urban high-temperature forecasting and health assistant decision-making system for the multi-element main body not only supports high-temperature early warning forecasting of high spatial and temporal resolution of different cities, but also can guide the urban multi-element main body to make policy and practice for relieving high temperature and provide decision support for adapting to and relieving high temperature according to the scene requirements of users in cities.
Description
Technical Field
The invention belongs to the technical field of meteorological services, and particularly relates to a multivariate main body-oriented urban high-temperature forecasting and health assistant decision-making system.
Background
The weather service can be divided into decision weather service, public weather service, professional weather service and scientific and technical service. The public weather decision service is a daily weather service provided for the public, and refined weather element forecasting, quantitative rainfall forecasting, disastrous weather falling area forecasting, weather influence evaluation and short-term weather forecasting services are developed at present. The method initially establishes monitoring and early warning services of approaching, short-term and short-term disastrous weather such as rainstorm, hail, thunder, high temperature, strong wind, cold tide, strong fog and the like.
The existing system device for releasing the meteorological disaster early warning information, such as 'a system and a method for releasing the meteorological disaster early warning information based on a mobile phone client' with application number 201110319364.2, is: … … includes the following steps: weather disaster early warning information platform receives the weather disaster early warning information that the weather administrative department issued, the platform sets up the position information of waiting to inquire that the business receiving terminal provided at the network side, early warning platform and mobile terminal client establish and are connected, establish and keep long connection including the mobile client who supports permanent online propelling movement function, and the client regularly sends two kinds of forms of inquiry request to early warning platform, ensure that weather disaster information reliably pushes to user's mobile terminal … … immediately, it has solved and has made the problem that different suggestion reminded to look over according to early warning information's early warning rank, but still has some not enough problems: in the aspect of forecasting products, forecasting is carried out only by considering a single meteorological element of temperature, and forecasting is limited to the problems of low forecasting precision, weak forecasting information reference, short forecasting period and the like caused by early warning by taking administrative districts as units; in the aspect of assistant decision support, specialized services are provided only for industries and departments, and interactive mobile application products meeting the behavior and practice requirements of slowing down and adapting to high temperature of urban multi-element main bodies such as individuals, communities, governments and the like are lacked.
Disclosure of Invention
The invention aims to provide a multivariate main body-oriented urban high-temperature forecasting and health assistant decision-making system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a multi-subject oriented urban high-temperature forecasting and health aid decision-making system comprises:
the front-end function module is used for providing a visual operation interface for a user;
the background module is used for processing data generated when a user browses and operates the front-end function module;
the front-end function module is an urban high-temperature index unit based on an access map API and a function card unit based on multi-scene requirements, and the background module is an added module in column management based on the urban high-temperature index unit and the function card unit; the city high-temperature index unit based on the access map API in the front-end function module is a map layer unit which is used for inquiring and displaying the city high-temperature index based on a map API search interface and a background data interface; the function card unit based on multi-scene requirements in the front-end function module is an intelligent high-temperature card based on a background data interface, a high-temperature health risk assistant decision support card facing to a multi-element main body of a city, and a multi-theme button unit selected by a user according to the scene requirements.
Further, the high-temperature health risk assistant decision support card module facing the urban multivariate main body comprises:
the crowd high-temperature health risk card is used for high-temperature health risk early warning and practice guidance on the same day and the future day of tourist, old people, children and patient groups with cardiovascular and cerebrovascular diseases;
and the outdoor work instruction card is used for displaying high-temperature health risk early warning and practice instruction on the same day and the future day of the take-away and meal-delivery professional group and the high-temperature operation professional group. Furthermore, the intelligent high-temperature card module searches the geographic position based on a map API, displays and shows the high-temperature condition and the high-temperature trip prompt of the current position, and the high-temperature trip prompt is configured according to a newly added module in the background module column management.
Further, the city high temperature index unit includes:
the functional module main interface displays the urban high-temperature index map layer through a map API and a background data interface;
a module function title, which is used for displaying the city high temperature index after entering the module;
the module functional requirements include: layer display, position search and date play bar.
Further, the added module in the column management is an inlet of a new high temperature index module in the column management, and the sub-modules comprise: the device comprises a layer data module and a prompt setting module.
Further, the multi-theme button unit for the user to select according to the scene requirement is based on three buttons of cool, medical and scenic spot displayed on the right side of the map, and corresponds to the layers in the layer data module: three types of map layers of cooling facilities, medical facilities and scenic spots.
Further, the layer display and the position search in the module function requirements are based on a map API and a background data interface to search positions and display the positions, and the urban high temperature index speckled pattern is overlapped in the areas where the searched positions are displayed on the map.
Furthermore, the multi-theme button unit corresponds to the layers in the layer data module, and has the functions of selecting any layer, displaying the corresponding layer point location on the map, displaying the point location pattern according to the type of the layer option, and supporting multi-selection display of the layers of the same type.
Further, firstly, one type of image layer is selected and displayed, then another type of image layer is selected, the original image layer is closed, after the image layer is selected, the area outside the expansion bar is clicked, and the expansion option is folded.
Further, the layer data module comprises:
the facility for enjoying the cool comprises subway stations, parks, shopping malls and supermarkets, public buildings, and a data list displays the site names, the site types, the belonged cities, the longitudes and the latitudinal fields;
medical facilities, the point location type comprises health service and a comprehensive hospital, and the data list name displays the point location name, the point location type, the belonged city, the longitude and the latitude fields;
scenic spot, no point location type field, data list name display point location name, city, longitude and latitude field.
Further, the prompt setting module comprises:
the ordinary people display the prompt words and the grade types by the list names of the data list; the tourist, the data list name displays the prompt language and the grade type; the old, the data list names display the prompt words and grade types; children, the data list names display prompts and grade types; for patients with cardiovascular and cerebrovascular diseases, the list names of the data list display prompts and grade types; the take-out meal delivery group displays a prompt word and a grade type by a data list name; and (4) displaying a prompt word and a grade type by the list names of the data lists of the high-temperature operation groups.
The invention has the technical effects and advantages that:
according to the urban high-temperature forecasting and health assistant decision-making system facing the multi-element main body, a front-end function module carries out urban high-temperature index query and display on the basis of a map API and a background data interface, a multi-theme button unit for a user to select according to scene requirements, an intelligent high-temperature card capable of displaying according to a searched place position and a high-temperature health risk assistant decision-making support card module facing the urban multi-element main body are matched to be applied, so that high-temperature early warning forecasting of high space-time resolution of different cities is supported, and meanwhile, the urban multi-element main body can be guided to make a policy and practice for reducing high temperature and provide decision support for adapting to and reducing high temperature according to the scene requirements of the user in the city;
the intelligent high-temperature card can inquire whether the position point has high temperature in the future 24 hours, and meanwhile, the high-temperature grade of the position point or the time period of high temperature prediction is displayed through a display result, so that efficient and accurate support is provided for the decision of slowing down and adapting to high temperature for meeting the needs of urban multi-element main bodies.
Drawings
FIG. 1 is a table of population high temperature health risk level matching in accordance with the present invention;
FIG. 2 is a functional block diagram of a portion of the system of the present invention;
fig. 3 is a functional block diagram of the overall system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
A multi-element-body-oriented urban high-temperature forecasting and health assistant decision-making system comprises a front-end function module and a background module, wherein the front-end function module is used for providing a visual operation interface for a user, the background module is used for processing data generated when the user browses and operates the front-end function module, the front-end function module is an urban high-temperature index unit based on an access map API (application programming interface) and a function card unit based on multi-scene requirements, the background module is a newly-added module in column management of the urban high-temperature index unit based on the access map API, and the urban high-temperature index unit based on the access map API in the front-end function module is a map layer unit which is used for inquiring and displaying the urban high-temperature index based on a map API search interface and a background data interface; the function card unit based on multi-scene requirements in the front-end function module is an intelligent high-temperature card based on a background data interface, a high-temperature health risk assistant decision support card facing to a multi-element main body of a city, and a multi-theme button unit selected by a user according to the scene requirements.
The high-temperature health risk assistant decision support card module for the urban multi-element main body comprises a crowd high-temperature health risk card and an outdoor work guidance card, wherein the crowd high-temperature health risk card is used for high-temperature health risk early warning and practice guidance on the same day and the next day of tourist, old people, children and cardiovascular and cerebrovascular disease patient groups, and the outdoor work guidance card is used for displaying high-temperature health risk early warning and practice guidance on the same day and the next day of takeaway and food delivery professional groups and high-temperature work professional groups.
The intelligent high-temperature card searches the geographic position based on a map API, displays and shows the high-temperature condition and the high-temperature trip prompt of the current position, and the high-temperature trip prompt is configured according to a newly added module in background module column management.
The city high temperature index unit comprises:
the functional module main interface displays the urban high-temperature index map layer through a map API and a background data interface;
a module function title, which is used for displaying the city high temperature index after entering the module;
the module functional requirements include: layer display, position search and date play bar.
The new module in the column management is the new 'high temperature index' module inlet in the column management, and the sub-module comprises: the device comprises a layer data module and a prompt setting module.
The multi-theme button unit for the user to select according to the scene requirement is based on displaying three buttons of cool, medical and scenic spots on the right side of the map, and corresponds to the layers in the layer data module: three types of picture layers of cooling facilities, medical facilities and scenic spots; when the position is searched and displayed based on a map API and a background data interface, the region displaying the searched position on the map is superposed with the urban high-temperature index speckled pattern; the multi-theme button unit is used for selecting any layer, displaying a corresponding layer point position on a map, displaying the point position pattern according to the type of the layer option and supporting multi-selection display of the same type of layer; firstly, selecting and displaying one type of image layer, then selecting another type of image layer, closing the original image layer, clicking an area outside an expansion strip after the image layer is selected, and collecting expansion options;
columns are established in the layer data module and comprise cooling facilities, the point location types comprise subway stations, parks, shopping malls, supermarkets and public buildings, and the data list lists display the field of the point location name, the point location type, the city to which the point location belongs, the longitude and the latitude; medical facilities, the point location type comprises health service and a comprehensive hospital, and the data list name displays the point location name, the point location type, the belonged city, the longitude and the latitude fields; scenic spot, no point location type field, data list name display point location name, city, longitude and latitude field.
Columns are established in a cue language module, wherein the columns comprise common people, and a data list name displays a cue language and a grade type; the tourist, the data list name displays the prompt language and the grade type; the old, the data list names display the prompt words and grade types; children, the data list names display prompts and grade types; for patients with cardiovascular and cerebrovascular diseases, the list names of the data list display prompts and grade types; the take-out meal delivery group displays a prompt word and a grade type by a data list name; a high-temperature operation group, a data list name display prompt and a grade type;
front end functional module:
a functional module entry for displaying a "high temperature index" entry when the application is positioned at a desired location;
entering the module through an entrance, and displaying the city high temperature index by the page name;
(1) page:
the page base map is a map, the center outlines the boundary of the required position, and when high temperature is forecasted, the urban high temperature index color spot map is superposed on the area of the required position on the map. Displaying a high-temperature color spot legend bar above the play bar;
(2) and (3) position searching:
displaying a search box above the page, accessing a map API, and inputting a field to inquire a corresponding position; simultaneously, the page supports dotting on a map, high-temperature cards at positions are controlled to be positioned in a linkage mode according to manual arbitrary dotting or dotting at searched point positions, and high-temperature index information of corresponding positions is displayed (a search box displays gray characters 'searching' by default, a search record box is popped up after clicking, the latest 8 search records are reserved, X's' are clicked to delete the records one by one, a 'clear search list' below the search box is clicked to delete all the search records, a left side of the search box is clicked to return a button or a search box and an area outside the search list, and the search is quitted);
(3) facility menu:
displaying the right side of the map, namely clicking three buttons of cooling, medical treatment and scenic spot, unfolding related layer options, clicking cooling, and unfolding layer options of subway stations, parks, market supermarkets and public buildings; clicking medical treatment, expanding the layer options of health service and comprehensive hospital. And selecting any layer, displaying the corresponding layer point position on the map, and displaying the point position pattern according to the type of the layer option. The method supports multiple selections to display the layers of the same type (such as a cooling type, and supports the simultaneous display of subway stations and park layers); if one type of layer is selected to be displayed and another type of layer is selected, the original layer is closed (for example, after a subway station and a park layer are displayed originally and a sanitary service layer is selected to be displayed, the subway station and the park layer are closed). After the layer is selected, clicking an area outside the expansion bar, and collecting expansion options;
clicking a scenic spot button, directly displaying the point location of a scenic spot on a map, clicking the point location of a map layer, and displaying the name of the point location set by the background at the position on the high-temperature card display;
(4) playing the bar:
when the 08-08 time file is updated, the play bar displays the time nodes of the present day and the future 6 days;
when the file is updated by 20-20 hours, the playing bar displays time nodes of the tomorrow and 6 days later;
clicking a 'play' button to display the urban high-temperature index color spot diagram of the date corresponding to the positioning point;
if no high temperature risk exists in 7 days, hiding the play bar;
(5) intelligent high-temperature card:
(a) defaulting to display a current day/tomorrow high-temperature prompt (dotting display marks on a map) according to the current position of a user, and if the user reselects a position, displaying information according to the selected position;
(b)08-08, after the file is updated, displaying a high-temperature prompt of the day; (high temperature prompt background configuration)
If the query position point does not have high temperature in the future 24 hours, the following positions are located and displayed: "no high temperature is expected in the current position today", and the warm prompt is hidden;
if the inquiry position point has high temperature, and the user looks at the high-temperature card before the high-temperature occurrence time period appears, the following positions are displayed: predicting that high temperature will appear in the current position in the future X hours, wherein the grade of the high temperature is X grade;
thirdly, if the inquiry position point has high temperature, and the user looks over the high-temperature card in the high-temperature occurrence time period, the position below is displayed: predicting the high temperature at the current position, wherein the grade of the high temperature is X grade;
fourthly, if the position point is inquired to have high temperature, and the user looks over the high-temperature card after the high-temperature occurrence time period, and the position below is displayed: the high temperature period is expected to have passed at the current location.
(c) After the files are updated at 20-20 hours, a high-temperature prompt of the tomorrow is displayed; (high temperature prompt background configuration)
If the query position point does not have high temperature in the future 24 hours, the following positions are located and displayed: "no high temperature is expected in the tomorrow of the current position", and the warm prompt is hidden;
if the inquiry position point has high temperature, and the user looks at the high-temperature card before the high-temperature occurrence time period appears, the following positions are displayed: predicting that high temperature will appear in the future 24 hours of the current position, wherein the grade of the high temperature is X grade;
(6) crowd high temperature health risk card:
comprises high-temperature health risk prompt cards of the current day and the next day of tourist, old people, children and patient groups with cardiovascular and cerebrovascular diseases;
the card displays the name, icon, high temperature risk grade bar;
the high-temperature risk grade bar returns according to the background data interface, the corresponding high-temperature index grade is displayed (the color is marked at the position corresponding to the grade, and other areas are displayed to be white), if no high temperature exists in the day, the grade bar is hidden, and 'no health risk is predicted';
clicking any card, popup-displaying high-temperature health risk prompts on the current day and the future day (file update at 08-08 times, displaying the prompt of the highest temperature of the current day and the highest temperature of the next day; file update at 20-20 times, displaying the prompt of the highest temperature of the next day, displaying corresponding prompt pictures at the left sides of prompts for different people with different high-temperature levels), and if no high-temperature risk exists, hiding a level bar, and prompting that no high-temperature health risk exists at the current position in the positive center below the date);
(7) outdoor work guide card:
displaying a takeaway meal delivery and high-temperature operation card;
(1) the method comprises the steps that the initial state is a closed state, after a card area is clicked to be opened, the map is skipped to select points, the search of the points is supported, and after the points are confirmed, high-temperature guidance is displayed according to the high-temperature condition of the selected points;
(2) after the card is opened, the upper right corner switch of the card is in an opening mode. Displaying the position of the selected point by blue characters below the card name, if the place name exceeds 7 characters, displaying the exceeding part by '. multidot.', clicking position information or a rear modification button, and entering a map to reselect the point;
column management of background module-high temperature index:
and a new high-temperature index module inlet is added in column management, and the sub-modules comprise layer data and prompt setting.
(1.1) layer data:
(1) the map layer data module comprises three map layer types of 'cooling facilities', 'medical facilities' and 'scenic spot scenic spots'.
(2) Facility of enjoying cool:
the list displays fields of point location name, point location type, city to which the list belongs, longitude and latitude;
clicking the new button, displaying a new window on the right side, and editing the point location name, the point location type, the longitude and the latitude to submit. The point location name field limits the longest input of 12 words; point location type options include "subway station", "park", "market supermarket", "public building"; the affiliated city drop-down option is a city name;
the query condition "point location type" pull-down options include "please select", "subway station", "park", "market supermarket", "public building". The city drop-down options include "please select" and the name of the city.
(3) Medical facilities:
the point location types of the medical facility include "health service", "general hospital";
the query condition "point location type" pull-down options include "please select", "health service", "general hospital";
(4) scenic spot sight:
the scenic spot has no point location type field, and the list displays the functions of adding, editing, inquiring and deleting the field of the point location name, the city to which the scenic spot belongs, the longitude and the latitude;
(1.2) high temperature prompt:
(1) the list comprises prompts aiming at seven groups of common people, tourists, old people, children, patients with cardiovascular and cerebrovascular diseases, take-out meal deliverers and high-temperature operators at different high temperature levels, all prompts are initially introduced, and only edited and cannot be added at the later stage;
(2) editing the prompt words, if configuring a plurality of prompts, after the prompts are submitted successfully, separating the prompts by semicolons in the list, and displaying the prompts in rows on the app;
(3) and (3) query conditions:
the group type drop-down options include "please select", "general group", "tourist", "elderly", "children", "cardiovascular and cerebrovascular disease patient group", "take-out meal deliverer", "high temperature worker";
the exponential-grade drop-down options include "please select", "grade I blue", "grade II yellow", "grade III orange", "grade IV red".
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the equivalent replacement or change according to the technical solution and the inventive concept of the present invention should be covered by the scope of the present invention.
Claims (10)
1. A multi-subject oriented urban high-temperature forecasting and health aid decision-making system comprises:
the front-end function module is used for providing a visual operation interface for a user;
the background module is used for processing data generated when a user browses and operates the front-end function module;
the method is characterized in that: the front-end function module is an urban high-temperature index unit based on an access map API and a function card unit based on multi-scene requirements, and the background module is an added module in column management based on the urban high-temperature index unit and the function card unit;
the city high-temperature index unit based on the access map API in the front-end function module is a map layer unit which is used for inquiring and displaying the city high-temperature index based on a map API search interface and a background data interface; the function card unit based on multi-scene requirements in the front-end function module is an intelligent high-temperature card based on a background data interface, a high-temperature health risk assistant decision support card facing to a multi-element main body of a city, and a multi-theme button unit selected by a user according to the scene requirements.
2. The urban high-temperature forecasting and health assistant decision system for multi-element subjects according to claim 1, wherein the urban multi-element subject high-temperature health risk assistant decision card module comprises:
the crowd high-temperature health risk card is used for high-temperature health risk early warning and practice guidance on the same day and the future day of tourist, old people, children and patient groups with cardiovascular and cerebrovascular diseases; and the outdoor work instruction card is used for displaying high-temperature health risk early warning and practice instruction on the same day and the future day of the take-away and meal-delivery professional group and the high-temperature operation professional group.
3. The multi-subject oriented urban high-temperature forecasting and health aid decision-making system according to claim 1, wherein the intelligent high-temperature card module searches for a geographic position based on a map API and displays and shows a high-temperature condition and a high-temperature trip prompt of a current position, and the high-temperature trip prompt is configured according to a newly added module in background module column management.
4. The multivariate body-oriented urban high temperature forecast and health aid decision system according to claim 1, wherein the urban high temperature index unit comprises:
the functional module main interface displays the urban high-temperature index map layer through a map API and a background data interface; a module function title, which is used for displaying the city high temperature index after entering the module;
the module functional requirements include: layer display, position search and date play bar.
5. The multivariate body-oriented urban high-temperature forecast and health aid decision making system according to claim 1, wherein the added module in the program management is an added high-temperature index module entry of program management, and the sub-modules comprise: the device comprises a layer data module and a prompt setting module.
6. The system of claim 1, wherein the multi-theme button unit for the user to select according to the scene requirement is based on displaying three buttons of cool, medical and scenic spots on the right side of the map, and corresponding to the layers in the layer data module: three types of map layers of cooling facilities, medical facilities and scenic spots.
7. The multivariate body-oriented urban high-temperature forecasting and health assistant decision making system as claimed in claim 4, wherein: the map layer display and the position search in the module function requirements are based on a map API and a background data interface, when the position is searched and displayed, the city high temperature index speckled pattern is overlapped in the area where the searched position is displayed on the map.
8. The multivariate body-oriented urban high-temperature forecasting and health assistant decision making system as claimed in claim 6, wherein: the multi-theme button unit corresponds to the layers in the layer data module, the function is to select any layer, corresponding layer points are displayed on the map, point position patterns are displayed according to the types of layer options, and multi-selection display of the layers of the same type is supported.
9. The multivariate body-oriented urban high-temperature forecasting and health assistant decision making system as claimed in claim 8, wherein: and firstly, selecting and displaying one type of image layer, then selecting another type of image layer, closing the original image layer, clicking an area outside the expansion bar after the image layer is selected, and collecting expansion options.
10. The multivariate main body-oriented urban high-temperature forecasting and health assistant decision-making system as claimed in claim 5, wherein the layer data module and the cue setting module are comprised of:
the facility for enjoying the cool comprises subway stations, parks, shopping malls and supermarkets, public buildings, and a data list displays the site names, the site types, the belonged cities, the longitudes and the latitudinal fields;
medical facilities, the point location type comprises health service and a comprehensive hospital, and the data list name displays the point location name, the point location type, the belonged city, the longitude and the latitude fields;
scenic spot, no point location type field, data list name display point location name, city, longitude and latitude field.
The ordinary people display the prompt words and the grade types by the list names of the data list;
the tourist, the data list name displays the prompt language and the grade type;
the old, the data list names display the prompt words and grade types;
children, the data list names display prompts and grade types;
for patients with cardiovascular and cerebrovascular diseases, the list names of the data list display prompts and grade types;
the take-out meal delivery group displays a prompt word and a grade type by a data list name;
and (4) displaying a prompt word and a grade type by the list names of the data lists of the high-temperature operation groups.
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