Urban noise complaint spatial distribution feature and partition management and control system

Abstract

The invention discloses an urban noise complaint spatial distribution feature and partition management and control system, relates to the technical field of noise pollution treatment, and aims to solve the problems that the processing of current massive noise complaint data mainly focuses on statistical quantity and total quantity control; the system comprises a noise data acquisition module used for acquiring the noise monitoring data, a complaint data acquisition module used for acquiring the noise complaint data, a base map of a map, a grid processing module and a spatial distribution feature generation module, the base map of the map comprises a longitude and latitude range, a grid processing module and a noise data acquisition module, the grid processing module is used for dividing the longitude and latitude range and providing a geographic basis for data superposition and spatial distribution display, a supervision level indication diagram of each grid can be generated, spatial distribution characteristics of urban noise can be visually displayed, and the method is suitable for popularization and application. And the actual states of noise complaint and noise monitoring can be reflected.

Description

Technical Field

[0001] The present invention relates to the technical field of noise pollution control, and more specifically, to a spatial distribution feature of urban noise complaints and a zoning control system. Background Art

[0002] Noise complaints are one of the main ways for the public to reflect environmental pollution problems. With the development of cities and the improvement of urban governance capabilities, urban noise complaint data has increased rapidly, which has provided a large amount of noise complaint data for noise control personnel, but also brought challenges to the analysis and supervision of noise data. At present, a large amount of research on noise complaint data focuses on the statistical analysis and total control of noise complaints, and less consideration is given to the actual noise scenarios of public complaints and the supervision of the actual spatial distribution of noise control.

[0003] At present, the actual scene analysis of urban noise is mostly carried out with the help of noise diffusion models and computer visualization technology. However, the public's noise complaints are mainly concentrated on point noise events. At present, the qualitative analysis of complaint data mostly stays at word frequency statistics, statistics on the number of complaints, etc., and there is little quantitative statistics and analysis of the noise scenarios of complaints combined with noise monitoring data. In summary, with the improvement of the public's awareness of rights protection and the development of computer data processing technology, the processing of massive noise complaint data is mainly focused on statistical quantity and total control, and there is rarely any quantitative analysis combined with actual scenarios. Therefore, the present invention provides a quantitative reference for the public's noise demands based on grid data for urban noise control personnel, and uses grid technology to achieve refined management of noise demands. In view of this, we propose a spatial distribution feature of urban noise complaints and a zoning control system. Summary of the invention

[0004] The purpose of the present invention is to provide a spatial distribution characteristic of urban noise complaints and a zoning control system to solve the technical problem that the current processing of massive noise complaint data mainly focuses on statistical quantity and total amount control, and rarely combines noise monitoring data to quantify statistics and analyze the noise scenarios of complaints.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a system for spatial distribution characteristics and zoning control of urban noise complaints, comprising a noise data collection module for obtaining noise monitoring data, a complaint data collection module for obtaining noise complaint data, a map base map, a grid processing module and a spatial distribution characteristics generation module; The map base map includes longitude and latitude ranges, which are used to divide the longitude and latitude ranges and provide a geographical basis for data overlay and spatial distribution display; The grid processing module is connected to the noise data collection module, the complaint data collection module and the map base map module, and is used to generate a quantitative index system for urban noise complaints and a probability density map of each grid based on the noise complaint data and noise monitoring data; The spatial distribution feature generation module is connected to the grid processing module and is used to generate the spatial distribution type of the grid according to the probability density map of each grid, combined with the noise complaint quantitative index and the preset threshold; The system comprises the following steps: S1. Collect noise data in the area through the noise data collection module to generate noise monitoring data, the noise monitoring data includes monitoring points, monitoring time and monitoring value, and the monitoring points are grids; S2. Obtain noise complaint data through the complaint data collection module, where the noise complaint data includes the noise complaint address and the noise complaint time, and the noise complaint address includes the complaint grid number and the complaint road name; S3, data gridding processing and quantitative indicator system, probability density map generation; The noise complaint data and the corresponding noise monitoring data are converted into grid data, and a quantitative index system of urban noise complaints and a probability density map of each grid are generated based on the grid. S4, generation of spatial distribution types; The probability density map of each grid is used to generate the spatial distribution type of the grid according to the noise complaint quantification index of each grid and the set threshold.

[0006] The present invention converts noise complaint data and corresponding noise monitoring data into grid data, and generates a quantitative index system for urban noise complaints based on grids. The spatial distribution characteristics of noise complaints can be significantly reflected through probability density. At the same time, the probability density is combined with the quantitative index of noise complaints to reflect the level distribution of noise complaints in the grid. The present invention provides a reference for the identification of urban noise and provides data, graphics and interface support for urban noise supervision.

[0007] Preferably, S3 further includes the following steps: S301, converting the noise complaint data and the noise monitoring data into grid data according to the grid coding rules to ensure the uniformity of the data format and facilitate subsequent matching and analysis operations; S302, matching the noise complaint time of the grid data with the monitoring time of the grid data, so that the noise complaint time of each piece of noise complaint data corresponds to the monitoring time of the corresponding grid data one by one, and establishing an accurate association in the time dimension; S303: Set the weight of each monitoring value of each grid according to the following method , using the average value of the noise as the basis for judging the level of noise: ; In the formula, , The value is 0.25, is the number of monitoring times, is the average value of all monitoring values. Each monitoring value corresponds to a weight. The average value of noise is used as the basis for judging the level of noise. Through this formula, different monitoring values ​​can reasonably reflect their influence weights in subsequent analysis. S304, after the noise complaint time and the monitoring time match, select the monitoring value of each grid according to the following method; ; In the formula, , for Noise monitoring value at the moment, The selected monitoring value is the maximum monitoring value selected as the monitoring value of the grid, highlighting the representative monitoring situation; S305: convert the road name in the noise complaint address in the noise complaint data into a grid number according to the grid coding rules, correspond it with the grid data, and calculate the probability density of each noise complaint data on the grid according to the following method: : ; In the formula, is the latitude and longitude range of the grid, is the total area of ​​the grid, is the grid longitude, is the grid latitude, Grid longitude and latitude The probability density on The value of , calculates the probability density on the longitude and latitude range of the grid The maximum value is selected as the probability density of the grid corresponding to the noise complaint address of the grid, that is, the value corresponding to the grid on the probability density map. By calculating the probability density, the distribution possibility of noise complaints in each grid is reflected; S306: The maximum value of the monitoring value on the grid data corresponding to the noise complaint time and the minimum value of the probability density on the grid data corresponding to the noise complaint time are calculated as the grid Axis coordinates or Axis coordinates; ; In the formula, For the grid Axis coordinates or Axis coordinates, is the minimum value of the probability density of the corresponding grid, is the maximum value of the corresponding noise monitoring value, Axis coordinates and The unit of axis coordinates is the number of squares * precision, where the precision is the value corresponding to the length of the grid when the grid is encoded; According to the grid Axis coordinates, The axis coordinates can be obtained from the grid - Coordinate grid, the grid - The coordinate grid is superimposed on the map base map, that is, the probability density map of each grid is obtained. - axis coordinates, - The axis coordinates are the coordinates on the generated probability density map, and on the generated map base map, they are the corresponding grid coordinates. - Coordinates, grid - axis coordinates, The -axis coordinates correspond one-to-one with the latitude and longitude coordinates of the grid, making it possible to intuitively display the distribution characteristics of noise complaints in geographic space.

[0008] Preferably, the S4 further comprises the following steps: S401, according to each grid - Coordinate grid, select the noise complaint address of the corresponding grid in the noise complaint data of each grid, and select the corresponding grid monitoring point in the noise monitoring data of each grid; S402, mapping the noise complaint address, noise complaint time, corresponding point location, and monitoring time to a map base map; S403. According to the points and complaint addresses corresponding to each grid, the distance between each point and the corresponding complaint address is calculated according to the following method to obtain the complaint-monitoring distance of each grid. : ; In the formula, For the coordinate grid Axis coordinates or Axis coordinates, The grid of the corresponding complaint address Axis coordinates or Axis coordinates, which measure the spatial correlation between complaints and monitoring situations through distance data; S404, according to each grid Axis coordinates, Axis coordinates, the grid weight of each grid of the complaint grid is calculated as follows : ; In the formula, For each grid, the maximum Axis coordinates or Axis coordinates, For the grid, The number of complaint addresses in the complaint grid, which reflects the relative importance of each grid in the overall complaint situation; S405, forming a grid complaint level distribution table through the noise complaint address, complaint-monitoring distance, and grid weight data of each grid, and integrating and sorting out the complaint-related situations of each grid; S406. The complaint-monitoring distance in the complaint level distribution table of each grid is divided into four levels according to the distance size, and the probability density of each level is calculated. The probability density is superimposed on the map base map to obtain the probability density map of each grid. According to the grid weight of each grid and the set threshold, the spatial distribution type of the grid is generated.

[0009] Preferably, the grid of complaint addresses Axis coordinates, Axis coordinates, the following method is used to obtain the coordinates of each grid of the complaint grid Axis coordinates, Axis coordinates, that is, the coordinates of the complaint center point of each grid of the complaint grid: ; In the formula, For each grid Axis coordinates, Axis coordinates, is the coordinates of the complaint center point of each grid of the complaint grid, that is, the coordinates of each grid required Axis coordinates, Axis coordinates, The grid representing the complaint address The relevant coordinate points, The number of coordinate points involved in the calculation within the grid of the complaint address is determined by averaging the values ​​of these coordinate points on the corresponding coordinate axes to determine the coordinates of the complaint center point of each grid in the complaint grid.

[0010] Preferably, the complaint-monitoring distances are divided into four levels: ≤200 meters, 200-500 meters, 500-1000 meters, and ≥1000 meters.

[0011] Preferably, the probability density is divided into , , , Four levels, , , , Corresponding to "low level", "medium level", "high level" and "special level", four levels of complaint distribution maps are generated respectively. For the noise complaint data of each grid, the four levels of complaint distribution maps are overlapped to generate a supervision level indicator map for each grid.

[0012] Preferably, it can also include generating a first-level zoning control result according to the probability density map of each grid, the quantitative index of noise complaints of each grid, and the order of grid codes of the grids, and generating a second-level zoning control result according to a set threshold, integrating the noise complaint data of each grid, the corresponding noise monitoring data, and the corresponding map base map to generate an urban noise complaint indication layer.

[0013] Preferably, the secondary zoning control includes construction areas, residential areas, and industrial areas, wherein the grid in the construction area in the secondary zoning control is a grid whose noise complaint monitoring value is greater than the noise complaint judgment value, and the grid is a construction area; The grid in the residential area has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is a residential area; The grid in the industrial zone has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is an industrial zone.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention converts noise complaint data and corresponding noise monitoring data into grid data, and generates a quantitative index system for urban noise complaints with grids as units. The spatial distribution characteristics of noise complaints can be significantly reflected through probability density. At the same time, the probability density is combined with the quantitative index of noise complaints to reflect the level distribution of noise complaints in the grid, and a supervision level indicator map for each grid can be generated, which provides a reference for the identification of urban noise, provides data, graphics, and interface support for urban noise supervision, can intuitively display the spatial distribution characteristics of urban noise, and can reflect the actual status of noise complaints and noise monitoring.

[0015] 2. The present invention grids the noise complaint data and noise monitoring data, and based on the probability density, classifies and quantifies the probability density, combines the quantified probability density with the quantitative relationship of noise complaints, quantifies the spatial distribution characteristics of urban noise complaints, further refines the spatial distribution characteristics, and improves the level of urban noise supervision.

[0016] 3. The present invention matches the complaint address, complaint time and noise monitoring data, converts the complaint address into a grid, and matches the complaint time to the corresponding monitoring time. The present invention matches based on time and space, further improving the reliability of the noise complaint quantitative index of the grid. DETAILED DESCRIPTION

[0017] Embodiment 1: The present invention relates to a system for spatial distribution characteristics and zoning control of urban noise complaints, including a noise data collection module for obtaining noise monitoring data, a complaint data collection module for obtaining noise complaint data, a map base map, a grid processing module, and a spatial distribution characteristics generation module; The map basemap includes longitude and latitude ranges, which are used to divide the longitude and latitude ranges and provide a geographical basis for data overlay and spatial distribution display; The grid processing module is connected with the noise data collection module, the complaint data collection module and the map base map module, and is used to generate a quantitative index system of urban noise complaints and a probability density map of each grid based on the noise complaint data and noise monitoring data; The spatial distribution feature generation module is connected to the grid processing module and is used to generate the spatial distribution type of the grid according to the probability density map of each grid, combined with the noise complaint quantitative index and the preset threshold; Embodiment 2: The system comprises the following steps: S1. Collect noise data in the area through the noise data collection module to generate noise monitoring data, the noise monitoring data includes monitoring points, monitoring time and monitoring value, and the monitoring points are grids; S2. Obtain noise complaint data through the complaint data collection module, where the noise complaint data includes the noise complaint address and the noise complaint time, and the noise complaint address includes the complaint grid number and the complaint road name; S3, data gridding processing and quantitative indicator system, probability density map generation; The noise complaint data and the corresponding noise monitoring data are converted into grid data, and a quantitative index system of urban noise complaints and a probability density map of each grid are generated based on the grid. S301, converting the noise complaint data and the noise monitoring data into grid data according to the grid coding rules to ensure the uniformity of the data format and facilitate subsequent matching and analysis operations; S302, matching the noise complaint time of the grid data with the monitoring time of the grid data, so that the noise complaint time of each piece of noise complaint data corresponds to the monitoring time of the corresponding grid data one by one, and establishing an accurate association in the time dimension; S303: Set the weight of each monitoring value of each grid according to the following method , using the average value of the noise as the basis for judging the level of noise: ; In the formula, , The value is 0.25, is the number of monitoring times, is the average value of all monitoring values. Each monitoring value corresponds to a weight. The average value of noise is used as the basis for judging the level of noise. Through this formula, different monitoring values ​​can reasonably reflect their influence weights in subsequent analysis. S304, after the noise complaint time and the monitoring time match, select the monitoring value of each grid according to the following method; ; In the formula, , for Noise monitoring value at the moment, The selected monitoring value is the maximum monitoring value selected as the monitoring value of the grid, highlighting the representative monitoring situation; S305: convert the road name in the noise complaint address in the noise complaint data into a grid number according to the grid coding rules, correspond it with the grid data, and calculate the probability density of each noise complaint data on the grid according to the following method: : ; In the formula, is the latitude and longitude range of the grid, is the total area of ​​the grid, is the grid longitude, is the grid latitude, Grid longitude and latitude The probability density on The value of , calculates the probability density on the longitude and latitude range of the grid The maximum value is selected as the probability density of the grid corresponding to the noise complaint address of the grid, that is, the value corresponding to the grid on the probability density map. By calculating the probability density, the distribution possibility of noise complaints in each grid is reflected; S306: The maximum value of the monitoring value on the grid data corresponding to the noise complaint time and the minimum value of the probability density on the grid data corresponding to the noise complaint time are calculated as the grid Axis coordinates or Axis coordinates; ; In the formula, For the grid Axis coordinates or Axis coordinates, is the minimum value of the probability density of the corresponding grid, is the maximum value of the corresponding noise monitoring value, Axis coordinates and The unit of axis coordinates is the number of squares * precision, where the precision is the value corresponding to the length of the grid when the grid is encoded; According to the grid Axis coordinates, The axis coordinates can be obtained from the grid - Coordinate grid, the grid - The coordinate grid is superimposed on the map base map, that is, the probability density map of each grid is obtained. - axis coordinates, - The axis coordinates are the coordinates on the generated probability density map, and on the generated map base map, they are the corresponding grid coordinates. - Coordinates, grid - axis coordinates, - The axis coordinates correspond one-to-one with the longitude and latitude coordinates of the grid, making it possible to intuitively display the distribution characteristics of noise complaints in geographic space; S4, generation of spatial distribution types; The probability density map of each grid is used to generate the spatial distribution type of the grid according to the noise complaint quantification index of each grid and the set threshold.

[0018] S401, according to each grid - Coordinate grid, select the noise complaint address of the corresponding grid in the noise complaint data of each grid, and select the corresponding grid monitoring point in the noise monitoring data of each grid; S402, mapping the noise complaint address, noise complaint time, corresponding point location, and monitoring time to a map base map; S403. According to the points and complaint addresses corresponding to each grid, the distance between each point and the corresponding complaint address is calculated according to the following method to obtain the complaint-monitoring distance of each grid. : ; In the formula, For the coordinate grid Axis coordinates or Axis coordinates, The grid of the corresponding complaint address Axis coordinates or Axis coordinates, which measure the spatial correlation between complaints and monitoring situations through distance data; S404, according to each grid Axis coordinates, Axis coordinates, the grid weight of each grid of the complaint grid is calculated as follows : ; In the formula, For each grid, the maximum Axis coordinates or Axis coordinates, For the grid, The number of complaint addresses in the complaint grid, which reflects the relative importance of each grid in the overall complaint situation; S405, forming a grid complaint level distribution table through the noise complaint address, complaint-monitoring distance, and grid weight data of each grid, and integrating and sorting out the complaint-related situations of each grid; S406. The complaint-monitoring distance in the complaint level distribution table of each grid is divided into four levels according to the distance size, and the probability density of each level is calculated. The probability density is superimposed on the map base map to obtain the probability density map of each grid. According to the grid weight of each grid and the set threshold, the spatial distribution type of the grid is generated.

[0019] The present invention converts noise complaint data and corresponding noise monitoring data into grid data, and generates a quantitative index system for urban noise complaints based on grids. The spatial distribution characteristics of noise complaints can be significantly reflected through probability density. At the same time, the probability density is combined with the quantitative index of noise complaints to reflect the level distribution of noise complaints in the grid. The present invention provides a reference for the identification of urban noise and provides data, graphics and interface support for urban noise supervision.

[0020] As another embodiment of the present invention, according to the grid of the complaint address Axis coordinates, Axis coordinates, the following method is used to obtain the coordinates of each grid of the complaint grid Axis coordinates, Axis coordinates, that is, the coordinates of the complaint center point of each grid of the complaint grid: ; In the formula, For each grid Axis coordinates, Axis coordinates, is the coordinates of the complaint center point of each grid of the complaint grid, that is, the coordinates of each grid required Axis coordinates, Axis coordinates, The grid representing the complaint address The relevant coordinate points, The number of coordinate points involved in the calculation within the grid of the complaint address is determined by averaging the values ​​of these coordinate points on the corresponding coordinate axes to determine the coordinates of the complaint center point of each grid in the complaint grid.

[0021] As another embodiment of the present invention, the complaint-monitoring distances are divided into four levels: ≤200 meters, 200-500 meters, 500-1000 meters, and ≥1000 meters.

[0022] As another embodiment of the present invention, the probability density is divided into , , , Four levels, , , , Four levels of complaint distribution maps are generated corresponding to "low level", "intermediate level", "advanced level" and "special level" respectively. For the noise complaint data of each grid, the four levels of complaint distribution maps are overlapped to generate a supervision level indicator map for each grid. The spatial distribution characteristics of urban noise can be intuitively displayed through the supervision level indicator map of each grid, and the actual status of noise complaints and noise monitoring can be reflected. Regulators can understand the noise distribution of the city through the supervision level indicator map of each grid, and carry out targeted noise supervision work. The quantitative indicators of urban noise complaints are divided into "low level", "intermediate level", "advanced level" and "special level" according to the set thresholds and the corresponding levels. The supervision level of each grid is directly related to the number of grids, noise complaint addresses, monitoring values ​​and complaint-monitoring distance. According to the probability density of each level, a level distribution map is obtained, which can further improve the accuracy of noise monitoring.

[0023] As another embodiment of the present invention, it may also include generating a first-level zoning control result according to the probability density map of each grid, the noise complaint quantitative index of each grid, and the order of the grid codes of the grids, and generating a second-level zoning control result according to a set threshold, integrating the noise complaint data of each grid, the corresponding noise monitoring data, and the corresponding map base map to generate a city noise complaint indication layer.

[0024] As another embodiment of the present invention, the secondary zoning control includes a construction area, a residential area, and an industrial area, wherein the grid in the construction area in the secondary zoning control is a grid whose noise complaint monitoring value is greater than the noise complaint judgment value, and the grid is a construction area; The grid in the residential area has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is a residential area; The grid in the industrial zone has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is an industrial zone.

[0025] The present invention transforms the grid data, calculates the noise complaint index of each grid, and further combines the probability density with the noise complaint quantitative index to calculate the noise complaint index of each grid. - Coordinate grid, the grid - The coordinate grid is superimposed on the map base map to obtain the probability density map of each grid. According to the address, monitoring value and longitude and latitude range of the noise complaint in the grid, the probability of each grid is obtained, and the spatial distribution characteristics of noise complaints are reflected in the probability density.

[0026] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A spatial distribution characteristics of urban noise complaints and a zoning control system, characterized in that: include: Noise data acquisition module, used to obtain noise monitoring data; Complaint data collection module, used to obtain noise complaint data; A map base map, wherein the map base map includes a latitude and longitude range, which is used to divide the latitude and longitude range and provide a geographical basis for data overlay and spatial distribution display; A grid processing module, which is connected to the noise data collection module, the complaint data collection module and the map base map module, and is used to generate a quantitative indicator system for urban noise complaints and a probability density map of each grid based on noise complaint data and noise monitoring data; A spatial distribution feature generation module, which is connected to the grid processing module and is used to generate a spatial distribution type of a grid according to a probability density map of each grid, combined with a noise complaint quantification index and a preset threshold; The system comprises the following steps: S1. Collect noise data in the area through the noise data collection module to generate noise monitoring data, the noise monitoring data includes monitoring points, monitoring time and monitoring value, and the monitoring points are grids; S2. Obtain noise complaint data through the complaint data collection module, where the noise complaint data includes the noise complaint address and the noise complaint time, and the noise complaint address includes the complaint grid number and the complaint road name; S3, data gridding processing and quantitative indicator system, probability density map generation; The noise complaint data and the corresponding noise monitoring data are converted into grid data, and a quantitative index system of urban noise complaints and a probability density map of each grid are generated based on the grid. S4, generation of spatial distribution types; The probability density map of each grid is used to generate the spatial distribution type of the grid according to the noise complaint quantification index of each grid and the set threshold.

2. According to claim 1, a system for spatial distribution characteristics and zoning control of urban noise complaints is characterized in that: The S3 further comprises the following steps: S301, converting the noise complaint data and the noise monitoring data into grid data according to the grid coding rules; S302, matching the noise complaint time of the grid data with the monitoring time of the grid data, so that the noise complaint time of each piece of noise complaint data corresponds to the monitoring time of the corresponding grid data one by one; S303: Set the weight of each monitoring value of each grid according to the following method : ； In the formula, , The value is 0.25, is the number of monitoring times, is the average value of all monitoring values, each monitoring value corresponds to a weight, and the average value of noise is used as the basis for judging the level of noise; S304, after the noise complaint time and the monitoring time match, select the monitoring value of each grid according to the following method; ； In the formula, , for Noise monitoring value at the moment, For the selected monitoring value, the maximum monitoring value is selected as the monitoring value of the grid; S305: convert the road name in the noise complaint address in the noise complaint data into a grid number according to the grid coding rules, correspond it with the grid data, and calculate the probability density of each noise complaint data on the grid according to the following method: : ； In the formula, is the latitude and longitude range of the grid, is the total area of ​​the grid, is the grid longitude, is the grid latitude, Grid longitude and latitude The probability density on The value of , calculates the probability density on the longitude and latitude range of the grid The maximum value is selected as the probability density of the grid corresponding to the noise complaint address of the grid, that is, the value corresponding to the grid on the probability density map; S306: The maximum value of the monitoring value on the grid data corresponding to the noise complaint time and the minimum value of the probability density on the grid data corresponding to the noise complaint time are calculated as the grid Axis coordinates or Axis coordinates; ； In the formula, For the grid Axis coordinates or Axis coordinates, is the minimum value of the probability density of the corresponding grid, is the maximum value of the corresponding noise monitoring value, Axis coordinates and The unit of axis coordinates is the number of squares * precision, where the precision is the value corresponding to the length of the grid when the grid is encoded; According to the grid Axis coordinates, The axis coordinates can be obtained from the grid - Coordinate grid, the grid - The coordinate grid is superimposed on the map base map, that is, the probability density map of each grid is obtained. - axis coordinates, - The axis coordinates are the coordinates on the generated probability density map, and on the generated map base map, they are the corresponding grid coordinates. - Coordinates, grid The -axis coordinates and -axis coordinates correspond one to one with the longitude and latitude coordinates of the grid.

3. According to claim 2, a system for spatial distribution characteristics and zoning control of urban noise complaints is characterized in that: The S4 further comprises the following steps: S401, according to each grid - Coordinate grid, select the noise complaint address of the corresponding grid in the noise complaint data of each grid, and select the corresponding grid monitoring point in the noise monitoring data of each grid; S402, mapping the noise complaint address, noise complaint time, corresponding point location, and monitoring time to a map base map; S403. According to the points and complaint addresses corresponding to each grid, the distance between each point and the corresponding complaint address is calculated according to the following method to obtain the complaint-monitoring distance of each grid. : ； In the formula, For the coordinate grid Axis coordinates or Axis coordinates, The grid of the corresponding complaint address Axis coordinates or Axis coordinates; S404, according to each grid Axis coordinates, Axis coordinates, the grid weight of each grid of the complaint grid is calculated as follows : ； In the formula, For each grid, the maximum Axis coordinates or Axis coordinates, For the grid, is the number of complaint addresses in the complaint grid; S405, forming a grid complaint level distribution table through the noise complaint address, complaint-monitoring distance, and grid weight data of each grid; S406. The complaint-monitoring distance in the complaint level distribution table of each grid is divided into four levels according to the distance size, and the probability density of each level is calculated. The probability density is superimposed on the map base map to obtain the probability density map of each grid. According to the grid weight of each grid and the set threshold, the spatial distribution type of the grid is generated.

4. The urban noise complaint spatial distribution characteristics and zoning control system according to claim 3 is characterized in that: According to the grid of complaint address Axis coordinates, Axis coordinates, the following method is used to obtain the coordinates of each grid of the complaint grid Axis coordinates, Axis coordinates, that is, the coordinates of the complaint center point of each grid of the complaint grid: ； In the formula, For each grid Axis coordinates, Axis coordinates, is the coordinate of the complaint center point of each grid of the complaint grid, The grid representing the complaint address The relevant coordinate points, The number of coordinate points involved in the calculation within the grid of the complaint address.

5. The urban noise complaint spatial distribution characteristics and zoning control system according to claim 3 is characterized in that: There are 4 levels of complaints - the monitoring distances are: ≤200 meters, 200-500 meters, 500-1000 meters, and ≥1000 meters.

6. The urban noise complaint spatial distribution characteristics and zoning control system according to claim 3 is characterized in that: The probability density is divided into , , , Four levels, , , , Corresponding to "low level", "intermediate level", "high level" and "special level" respectively, four levels of complaint distribution maps are generated. For the noise complaint data of each grid, the four levels of complaint distribution maps are overlapped to generate a supervision level indicator map for each grid.

7. The urban noise complaint spatial distribution characteristics and zoning control system according to claim 3 is characterized in that: It can also include generating the first-level zoning control results according to the probability density map of each grid, the quantitative indicators of noise complaints of each grid, and the order of grid codes of the grids, and generating the second-level zoning control results according to the set threshold, integrating the noise complaint data of each grid, the corresponding noise monitoring data, and the corresponding map base map to generate an urban noise complaint indication layer.

8. The urban noise complaint spatial distribution characteristics and zoning control system according to claim 7 is characterized in that: The secondary zoning control includes construction areas, residential areas, and industrial areas; Among them, the grid in the construction area in the secondary zoning control is a grid whose noise complaint monitoring value is greater than the noise complaint judgment value, and the grid is a construction area; The grid in the residential area has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is a residential area; The grid in the industrial zone has a noise complaint monitoring value greater than the noise complaint judgment value, and the grid is an industrial zone.

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