Air quality gridding visual display method and device and electronic equipment
By building a refined benchmark grid and correlating high-precision pollution factor data, a rendering of the air quality pollution factor sub-index is generated, which solves the problem that the existing technology cannot achieve high-precision and full coverage to display the air quality pollution status, and realizes the need for refined supervision.
Patent Information
- Application Number
- CN202510135997.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-07
- Publication Date
- 2025-05-09
AI Technical Summary
The prior art cannot achieve high-precision and full coverage display of the air quality pollution status in the target monitoring area, and cannot meet the requirements of refined supervision of atmospheric governance.
By constructing a refined benchmark grid of 0.01°*0.01° geographic unit size, high-precision pollution factor data are queried based on the location of the center point of the grid, and the data are correlated to the grid properties, and colored according to the color standards of the air quality pollution factor classification category to generate a rendering diagram of the air quality pollution factor sub-index.
It realizes the high-precision and full coverage display of the air quality pollution status in the target monitoring area, and can display the monitoring data of air quality pollutant factors in high-precision and seamlessly, meeting the needs of refined supervision of atmospheric governance.
Smart Images

Figure CN119963688A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of atmospheric environment management, and in particular to a method, device and electronic equipment for gridded visualization of air quality. Background Art
[0002] With the advancement of environmental governance year by year, air pollution control has entered the stage of refined management. The pertinence and goal of the work of atmospheric environmental law enforcement departments have been greatly improved, requiring detailed grids to achieve accurate source identification and targeted governance. Therefore, it is necessary to use a grid-based approach to display the distribution of air quality pollution in a certain area with high accuracy and full coverage.
[0003] The method of gridded visualization of air quality is to divide the target monitoring area into several grids according to the geographical range of 0.01°*0.01° in latitude and longitude, and determine the concentration value of air quality pollutant factors in each grid and visualize it based on the satellite remote sensing inversion data of atmospheric pollutants and near-ground observation data. Traditional air quality visualization generally displays the distribution of pollutants on a large scale, or locally displays the air quality of the target monitoring area in the form of monitoring points. It is impossible to achieve such high-precision and full-coverage regional air quality visualization, and cannot meet the requirements of refined supervision of atmospheric governance. Summary of the invention
[0004] The object of the present invention is to provide a method, device and electronic device for gridded visualization of air quality, so as to solve the above-mentioned problems existing in the prior art.
[0005] In order to achieve the above object, the technical solution adopted by the present invention is as follows:
[0006] In a first aspect, an embodiment of the present invention provides a method for gridding and visualizing air quality, comprising the following steps:
[0007] S1. Construct a refined reference grid with a geographic unit size of 0.01°*0.01°;
[0008] S2. Query the corresponding high-precision fence grid pollution factor data according to the grid center point position;
[0009] S3, associating the constructed reference grid with the pollutant concentration value in terms of attributes to obtain the pollutant concentration value of each grid;
[0010] S4. According to the color standard of the air quality pollution factor index category, the pollutant concentration value at the center of the grid is used as the concentration value of the grid to fill the grid with color, so as to obtain a rendering of the air quality pollution factor index of the target monitoring area.
[0011] Optionally, step S1 further comprises: after constructing a grid of 0.01°*0.01° geographic unit size through the circumscribed rectangle of the polygon of the target monitoring area, all grids intersecting with the target monitoring area are selected as reference grids of the target monitoring area and stored in the data server.
[0012] Optionally, in step S2, the pollutant concentration value corresponding to each grid center point position of the reference grid constructed in step S1 is queried through a pollutant data acquisition module, and the reference grid data and grid center point concentration value data are returned to the client device.
[0013] Optionally, in step S3, the data acquired in step S2 is used for association processing on the client device, and the pollutant concentration value data of the grid center point is assigned to the attribute data of the reference grid according to the geographic spatial position relationship.
[0014] Optionally, in step S4, the grids are graded and rendered according to the grid attribute data and the colors corresponding to the pollutant concentration value intervals to obtain a visual rendering of the air quality pollutant factors in the target monitoring area.
[0015] In a second aspect, an embodiment of the present invention further provides an air quality visualization display device, the device comprising:
[0016] The reference grid construction module is used to construct a reference grid with a size of 0.01°*0.01° geographic unit in the target monitoring area;
[0017] The pollution data acquisition module is used to obtain the pollutant concentration value data corresponding to the grid center point of the satellite remote sensing inversion raster data;
[0018] The map visualization module assigns the pollutant concentration value of the grid center point obtained by the pollution data acquisition module to the attribute data of the reference grid, and renders the constructed reference grid in a graded manner according to the color classification corresponding to the air quality pollutant factor index to obtain a visual rendering of the air quality pollutant factor in the target monitoring area.
[0019] In a third aspect, an embodiment of the present invention further provides an electronic device comprising at least one processor; and a memory communicatively connected to the processor; the memory stores instructions executed by the processor, the instructions being executed by the processor so that the processor can perform a method for gridded visualization of air quality.
[0020] The beneficial effects of the present invention are: providing a method, device and electronic device for gridding and visualizing air quality, thereby realizing high-precision and full-coverage display of the air quality pollution status of the target monitoring area. The present invention can also display the monitoring data of the air quality pollutant factors of the target monitoring area with high precision and seamlessness. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 It is a flow chart of a method for gridding and visualizing air quality of the present invention;
[0022] Figure 2 It is a system diagram of an air quality visualization display device of the present invention;
[0023] Figure 3 It is a structural diagram of an electronic device of the present invention. DETAILED DESCRIPTION
[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation methods described herein are only used to explain the present invention and are not used to limit the present invention.
[0025] The technical problem to be solved by the present invention is to make up for the defects of the existing technology in displaying regional air quality in a large spatial scale and a single dimension, and to provide an air quality gridding visualization method, so as to realize high-precision and full-coverage display of the air quality pollution status of the target monitoring area.
[0026] Reference Figure 1 As shown: In a first aspect, an embodiment of the present invention provides a method for gridding and visualizing air quality, comprising the following steps:
[0027] S1. Construct a refined reference grid with a geographic unit size of 0.01°*0.01°.
[0028] The method is specifically as follows: a refined reference grid with a geographic unit size of 0.01°*0.01° covering the target monitoring area is constructed in the CGCS2000 national geodetic coordinate system. In a two-dimensional spatial coordinate system, a grid model of the target monitoring area is constructed with the CGCS2000 national geodetic coordinate system as the geographic reference benchmark and the target monitoring area as the geographic scope. The grid model is composed of a number of rectangular seamless grids of equal size, and the target monitoring area is contained in the constructed grid model. The boundary of the target monitoring area is generally an irregular polygon. The circumscribed rectangle of the boundary of the area is first calculated, and the above-mentioned grid is constructed with the lower left corner of the rectangle as the starting point. In some embodiments, if the geographic scope covered by the target monitoring area is relatively large, a grid division method of 0.03°*0.03° is adopted. The boundary of the target monitoring area is judged to be spatially intersected with the grid within the rectangular range, and the grid covered by the target monitoring area is selected as the reference grid for query and display in subsequent steps.
[0029] S2. Query the corresponding high-precision fence grid pollution factor data according to the grid center point position.
[0030] Based on satellite remote sensing inversion data and fused with ground monitoring station data, meteorological data, emission data and other data sources, the high-resolution grid data is synthesized. The center point coordinates of each grid in the reference grid described in S1 are used to query the value of the grid data at the corresponding coordinate position to obtain a certain pollutant concentration value at the center point of all grids. Pollutant factors include PM 2.5 , PM10, SO2, NO2, CO, O3, etc.
[0031] S3. Associate the constructed reference grid with the pollutant concentration value in terms of attributes to obtain the pollutant concentration value of each grid.
[0032] According to the spatial position inclusion relationship between points and surfaces, the concentration values of all grid center points obtained in S2 are assigned to the attribute data of the reference grid constructed by S1 and converted into a feature set in the standard vector data exchange format GeoJSON.
[0033] S4. According to the color standard of the air quality pollution factor index category, the pollutant concentration value at the center of the grid is used as the concentration value of the grid to fill the grid with color, so as to obtain a rendering of the air quality pollution factor index of the target monitoring area.
[0034] Based on the map visualization framework, the vector data obtained by S3 is graded and rendered according to the correspondence between the air quality pollutant factor index concentration value and the color value, and a visual rendering of the air quality pollutant factor in the target monitoring area is obtained, which realizes the function of high-precision and full-coverage monitoring of the target monitoring area, and users can get a better intuitive experience.
[0035] Optionally, step S1 further comprises: after constructing a grid of 0.01°*0.01° geographic unit size through the circumscribed rectangle of the polygon of the target monitoring area, all grids intersecting with the target monitoring area are selected as reference grids of the target monitoring area and stored in the data server.
[0036] Optionally, in step S2, the pollutant concentration value corresponding to each grid center point position of the reference grid constructed in step S1 is queried through a pollutant data acquisition module, and the reference grid data and grid center point concentration value data are returned to the client device.
[0037] Optionally, in step S3, the data acquired in step S2 is used for association processing on the client device, and the pollutant concentration value data of the grid center point is assigned to the attribute data of the reference grid according to the geographic spatial position relationship.
[0038] Optionally, in step S4, the grids are graded and rendered according to the grid attribute data and the colors corresponding to the pollutant concentration value intervals to obtain a visual rendering of the air quality pollutant factors in the target monitoring area.
[0039] In a second aspect, an embodiment of the present invention further provides an air quality visualization display device, the device comprising:
[0040] The reference grid construction module is used to construct a reference grid with a size of 0.01°*0.01° geographic unit in the target monitoring area;
[0041] The pollution data acquisition module is used to obtain the pollutant concentration value data corresponding to the grid center point of the satellite remote sensing inversion raster data;
[0042] The map visualization module assigns the pollutant concentration value of the grid center point obtained by the pollution data acquisition module to the attribute data of the reference grid, and renders the constructed reference grid in a graded manner according to the color classification corresponding to the air quality pollutant factor index to obtain a visual rendering of the air quality pollutant factor in the target monitoring area.
[0043] The scheme of the present invention is further described as follows: Figure 2 The device shown comprises:
[0044] The reference grid construction module constructs a reference grid of 0.01°*0.01° geographic unit size in the target monitoring area in a two-dimensional spatial coordinate system, taking the CGCS2000 national geodetic coordinate system as the reference benchmark, and establishes a grid model;
[0045] The pollution data acquisition module is used to obtain the concentration value data of the air quality pollutant factors at the center points of all grids of the benchmark grid in the target monitoring area;
[0046] The map visualization module assigns the concentration value of the grid center point obtained in the data query module to the attribute data of the benchmark grid, and renders the constructed benchmark grid in a graded manner according to the color grading corresponding to the air quality pollutant factor index to obtain a visual rendering of the pollutant factor in the target monitoring area.
[0047] In a third aspect, an embodiment of the present invention further provides an electronic device comprising at least one processor; and a memory communicatively connected to the processor; the memory stores instructions executed by the processor, the instructions being executed by the processor so that the processor can perform a method for gridded visualization of air quality.
[0048] Figure 3 A schematic framework diagram of an electronic device for implementing an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers or mobile devices. The electronic device can execute various commands and processes according to a computer program stored in a read-only memory (ROM) or a computer program in a random access memory (RAM) loaded from a storage unit. In the RAM, various programs and data required by the device can also be stored. The computing unit, the read-only memory, and the random access memory are connected to each other through a bus and connected to an input / output (I / O) interface; the input unit can be a mouse, a keyboard, etc., and the output unit can be various types of displays; the storage unit can be a disk, an optical disk, etc.; the communication unit such as a network card, a modem, a wireless communication transceiver, etc. exchanges information / data with other devices through the Internet or a telecommunications network; the computing unit can be various general or special components with processing and computing capabilities. The computing unit performs the various methods and processes of steps S1 to S4 described above.
[0049] The program code for implementing the method of the present invention can be executed in a processor or controller of a general-purpose computer, as independent software, partly executed on a server machine, and partly executed on a remote machine.
[0050] The beneficial effects of the present invention are: providing a method, device and electronic device for gridding and visualizing air quality, thereby realizing high-precision and full-coverage display of the air quality pollution status of the target monitoring area. The present invention can also display the monitoring data of the air quality pollutant factors of the target monitoring area with high precision and seamlessness.
[0051] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.
Claims
1. A method for visualizing air quality gridding, characterized in that: The following steps are involved: S1. Construct a refined reference grid with a geographic unit size of 0.01°*0.01°; S2. Query the corresponding high-precision fence grid pollution factor data according to the grid center point position; S3, associating the constructed reference grid with the pollutant concentration value in terms of attributes to obtain the pollutant concentration value of each grid; S4. According to the color standard of the air quality pollution factor index category, the pollutant concentration value at the center of the grid is used as the concentration value of the grid to fill the grid with color, so as to obtain a rendering of the air quality pollution factor index of the target monitoring area.
2. The method for visualizing air quality gridding according to claim 1, characterized in that: The step S1 also includes: after constructing a grid of 0.01°*0.01° geographic unit size through the circumscribed rectangle of the polygon of the target monitoring area, all grids intersecting with the target monitoring area are selected as the reference grid of the target monitoring area and stored in the data server.
3. The method for visualizing air quality gridding according to claim 2, characterized in that: In step S2, the pollutant concentration value corresponding to each grid center point position of the reference grid constructed in step S1 is queried through the pollutant data acquisition module, and the reference grid data and grid center point concentration value data are returned to the client device.
4. The method for visualizing air quality gridding according to claim 3, characterized in that: In step S3, the data acquired in step S2 is used for association processing on the client device, and the pollutant concentration value data of the grid center point is assigned to the attribute data of the reference grid according to the geographic spatial position relationship.
5. The method for gridding and visualizing air quality according to claim 4, characterized in that: In the step S4, the grids are rendered in a graded manner according to the grid attribute data and the colors corresponding to the pollutant concentration value intervals, so as to obtain a visual rendering of the air quality pollutant factors of the target monitoring area.
6. An air quality visualization display device, characterized in that: The device includes: The reference grid construction module is used to construct a reference grid with a size of 0.01°*0.01° geographic unit in the target monitoring area; The pollution data acquisition module is used to obtain the pollutant concentration value data corresponding to the grid center point of the satellite remote sensing inversion raster data; The map visualization module assigns the pollutant concentration value of the grid center point obtained by the pollution data acquisition module to the attribute data of the reference grid, and renders the constructed reference grid in a graded manner according to the color classification corresponding to the air quality pollutant factor index to obtain a visual rendering of the air quality pollutant factor in the target monitoring area.
7. An electronic device, characterized in that: The electronic device includes at least one processor; and a memory communicatively connected to the processor; the memory stores instructions executed by the processor, and the instructions are executed by the processor so that the processor can execute the method for gridded visualization of air quality described in any one of claims 1-5.