Environmental protection data intelligent acquisition system

Abstract

The invention relates to an environmental protection data intelligent acquisition system, and the system comprises a monitoring station number determination module which is used for obtaining the AQI forecast data of a target city in the current unit time, and determining the number of mobile monitoring stations and the number of fixed monitoring stations of the target city in the unit time according to the AQI forecast data; the monitoring station classification module is used for acquiring historical AQI data monitored by each monitoring station in a target historical time period, and determining a mobile monitoring station and a fixed monitoring station in the current unit time of the target city according to the historical AQI data; the sampling determination module is used for determining the sampling frequency and the actual mobile sampling point of the mobile monitoring station according to the AQI data in the preset interval; and the sampling execution module is used for enabling the mobile monitoring station to perform sampling based on the sampling frequency and the actual mobile sampling point. According to the method, the sampling frequency is dynamically adjusted, the sampling point is actually moved, and the air quality condition is more comprehensively and accurately known.

Description

Technical Field

[0001] The invention relates to the technical field of environmental protection, and in particular to an intelligent collection system for environmental protection data. Background Art

[0002] Environmental protection data is a large and complex system, which covers many aspects such as atmosphere, water, soil, noise, radioactivity, hazardous waste, etc. Environmental protection data specifically includes air-related data, water quality-related data, soil-related data, noise-related data and other related data. Among them, air-related data include air quality index and comprehensive air quality index; air quality index (AQI): usually includes PM2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O 3 ) and other pollutant concentrations.

[0003] With the acceleration of industrialization and urbanization, air quality issues are becoming increasingly serious and have become an important factor affecting public health, ecological environment and economic development. Traditional air quality monitoring methods often rely on sampling and analysis at fixed sites, which have limitations such as limited monitoring range and slow data update. Therefore, it is particularly important to develop an air quality monitoring and acquisition system that can cover a wide range, respond quickly, and measure accurately. Summary of the invention

[0004] The present invention provides an environmental protection data intelligent collection system to solve the technical problems mentioned in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: An environmental protection data intelligent collection system, the system comprising: A monitoring station quantity determination module is used to obtain the AQI forecast data of the target city within the current unit time, and determine the number of mobile monitoring stations and the number of fixed monitoring stations within the unit time of the target city according to the AQI forecast data; wherein, a target city is pre-set to be divided into several monitoring areas, and at least one monitoring station is arranged in one monitoring area, each monitoring station monitors only one monitoring area, and each monitoring area contains several pre-determined preset sampling points; each monitoring station corresponds to a fixed preset sampling point, which is used as the sampling point when it is determined to be a fixed monitoring station, and the number of preset sampling points is greater than or equal to the total number of monitoring stations; A monitoring station classification module is used to obtain historical AQI data monitored by each monitoring station within a target historical period, and determine the mobile monitoring stations and fixed monitoring stations within the current unit time of the target city according to the historical AQI data, the number of mobile monitoring stations, and the number of fixed monitoring stations, wherein the sampling frequency and sampling point of the mobile monitoring station are dynamically changed, the sampling frequency and sampling point of the fixed monitoring station are fixedly set, and the fixed monitoring station performs sampling at the fixed sampling point; A sampling determination module, used to determine the sampling frequency and actual mobile sampling point of the mobile monitoring station according to the AQI data within a preset interval; The sampling execution module is used to enable the mobile monitoring station to perform sampling based on the sampling frequency and the actual mobile sampling point.

[0006] As a further technical solution of the present invention, the monitoring station quantity determination module includes: A forecast data acquisition unit, used to obtain the AQI forecast data of the target city within the current unit time; A quality level determination unit, configured to determine a predicted air quality level according to the AQI forecast data; The quantity determination unit is used to determine the number of mobile monitoring stations and the number of fixed monitoring stations in a target city per unit time according to the predicted air quality level; the total number of all monitoring stations in the target city is obtained, and the proportion of the mobile monitoring stations in the total number is positively correlated with the predicted air quality level. The higher the predicted air quality level, the more corresponding mobile monitoring stations, and conversely, the fewer fixed monitoring stations. The number of mobile monitoring stations and the number of fixed monitoring stations constitute the total number of all monitoring stations in the target city.

[0007] As a further technical solution of the present invention, the monitoring station classification module includes: A historical data acquisition unit is used to acquire historical AQI data monitored by each monitoring station within a target historical period, wherein the target historical period generally refers to the previous day or the previous few hours, and the target historical period includes at least one complete unit period, which may refer to one hour or two hours, etc. Each monitoring station collects and monitors historical AQI data at least once within a unit period; A monitoring station sorting unit is used to obtain the maximum value of the historical AQI data in each unit time period of the monitoring station, and sort the monitoring stations in each unit time period in descending order according to the maximum value of the historical AQI data to obtain a plurality of monitoring station sorting tables; A target ranking table acquisition unit is used to acquire the ranking of each monitoring station in each monitoring station ranking table, and respectively count the sum of the rankings of each monitoring station, and perform secondary sorting of each monitoring station in ascending order according to the sum of the rankings to obtain a target ranking table; The monitoring station determination unit is used to determine the mobile monitoring stations within the current unit time of the target city according to the number of mobile monitoring stations and the target sorting table, that is, the first N monitoring stations are extracted from the target sorting table as mobile monitoring stations according to the number of mobile monitoring stations N; the remaining monitoring stations are used as fixed monitoring stations, and the current unit time usually refers to the current day.

[0008] As a further technical solution of the present invention, the sampling determination module includes: A mobile monitoring area determination unit, used to obtain a monitoring area corresponding to each mobile monitoring station as a mobile monitoring area; A sampling point elimination unit is used to obtain preset sampling points in the mobile monitoring area, and when there is a fixed monitoring station in the mobile monitoring area, obtain the sampling points corresponding to the fixed monitoring station, and eliminate them from the preset sampling points in the mobile monitoring area to obtain the deleted sampling points; A mobile sampling point quantity determination unit, configured to determine the number of mobile sampling points in each mobile monitoring area based on the AQI data within a preset interval; an actual moving sampling point determining unit, configured to determine the actual moving sampling points according to the moving sampling point quantity X and the deleted sampling points; The sampling frequency determination unit is used to determine the sampling frequency of the mobile monitoring station based on the AQI data within a preset interval.

[0009] As a further technical solution of the present invention, the actual moving sampling point determination unit includes: The position information of each point in the deleted sampling points is obtained, and the sampling point corresponding to the fixed monitoring station in the mobile monitoring area is determined to be P0. The distance between the fixed point P0 and all the points in the deleted sampling points is calculated, and these distance values ​​are stored. An empty set S is initialized to store the selected points, and the fixed point P0 is added to the set S. Among the deleted sampling points, the point with the largest sum of distances from all the points in the set S is selected, and the point is added to the set S. The selection is repeated until the set S contains X points, and the X points in the set S are determined as the actual mobile sampling points.

[0010] As a further technical solution of the present invention, the mobile sampling point quantity determination unit includes: The AQI data of each mobile monitoring station in the mobile monitoring area within a preset interval is obtained, and the average value is calculated. The air quality level is determined according to the average value. The number of mobile sampling points in each mobile monitoring area is determined according to the air quality level. The air quality level is positively correlated with the number of mobile sampling points, that is, the larger the average value of the AQI data within the preset interval, the larger the corresponding number of mobile sampling points, wherein the preset interval refers to a time interval with the current moment as the end point and a preset duration as the length.

[0011] As a further technical solution of the present invention, the sampling execution module includes: Determine whether each actual mobile sampling point has AQI data within a preset interval. When there is an actual mobile sampling point that does not have AQI data within the preset interval, determine that the actual mobile sampling point without AQI data is sorted first, and the actual mobile sampling points with AQI data are sorted last. The actual mobile sampling points sorted in front can be sorted randomly or sorted according to the distance between them and the mobile monitoring stations. Determine the air quality level of each actual mobile sampling point sorted later within the preset interval according to the existing AQI data. Perform a secondary sort on the actual mobile sampling points sorted later according to the size of the air quality level. If the air quality levels are the same, they can be sorted randomly or sorted according to the principle of proximity to the previous one. The mobile monitoring station performs sampling according to the order of the actual mobile sampling points.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an intelligent environmental data collection system, in which the number of mobile monitoring stations and the number of fixed monitoring stations are determined according to AQI forecast data, the mobile monitoring stations and the fixed monitoring stations in the target city within the current unit time are determined according to historical AQI data, and the sampling frequency and the actual mobile sampling points of the mobile monitoring stations are determined according to the AQI data within a preset interval, so that when monitoring the air quality data of the city, the mobile monitoring area is determined, and on this basis, the sampling frequency and the actual mobile sampling points are dynamically adjusted, so as to achieve a more comprehensive and accurate understanding of the air quality conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural block diagram of an environmental data intelligent acquisition system.

[0014] Figure 2 This is a structural block diagram of a module for determining the number of monitoring stations in an intelligent environmental data collection system.

[0015] Figure 3 This is a structural block diagram of the monitoring station classification module in an environmental data intelligent collection system.

[0016] Figure 4 This is a structural block diagram of a sampling and determination module in an environmental data intelligent acquisition system. DETAILED DESCRIPTION

[0017] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] like Figure 1As shown, an embodiment of the present invention provides an environmental protection data intelligent collection system, the system comprising: The monitoring station quantity determination module 100 is used to obtain the AQI forecast data of the target city within the current unit time, and determine the number of mobile monitoring stations and the number of fixed monitoring stations within the unit time of the target city according to the AQI forecast data; wherein, a target city is pre-set to be divided into several monitoring areas, and one monitoring area is at least equipped with one monitoring station, each monitoring station monitors only one monitoring area, and each monitoring area contains several predetermined preset sampling points; each monitoring station corresponds to a fixed preset sampling point, which is used as the sampling point when it is determined to be a fixed monitoring station, and the number of preset sampling points is greater than or equal to the total number of monitoring stations in the target city; The monitoring station classification module 200 is used to obtain the historical AQI data monitored by each monitoring station within the target historical period, and determine the mobile monitoring stations and fixed monitoring stations within the current unit time of the target city according to the historical AQI data, the number of mobile monitoring stations and the number of fixed monitoring stations, wherein the sampling frequency and sampling point of the mobile monitoring station are dynamically changed, the sampling frequency and sampling point of the fixed monitoring station are fixedly set, and the fixed monitoring station performs sampling at the fixedly set sampling point; The sampling determination module 300 is used to determine the sampling frequency and actual mobile sampling point of the mobile monitoring station according to the AQI data within a preset interval; The sampling execution module 400 is used to enable the mobile monitoring station to perform sampling based on the sampling frequency and the actual mobile sampling point.

[0019] The present invention is mainly used for collecting the air quality index (AQI) in the atmosphere-related data. A number of predetermined preset sampling points and monitoring stations are set in each monitoring area of ​​the target city. The monitoring station has a mobile function. Usually, the mobile monitoring function of the monitoring station is realized by a mobile monitoring technology based on a vehicle or an unmanned aerial vehicle. In this embodiment, the number of mobile monitoring stations and the number of fixed monitoring stations per unit time in the target city are determined according to the AQI forecast data, and then the historical AQI data are used to determine whether each monitoring station is a fixed monitoring station or a mobile monitoring station; on this basis, the sampling frequency and the actual mobile sampling point of the mobile monitoring station are further determined according to the AQI data in the preset interval, so as to realize dynamic adjustment of the sampling frequency and the actual mobile sampling point, and to understand the air quality status more comprehensively and accurately.

[0020] See also Figure 2 As a preferred embodiment of the present invention, the monitoring station quantity determination module 100 includes: The forecast data acquisition unit 101 is used to obtain the AQI forecast data of the target city within the current unit time; The quality level determination unit 102 is used to determine the predicted air quality level according to the AQI forecast data; specifically: when the AQI forecast data does not exceed the first AQI preset threshold, the predicted air quality level is determined to be level one; when the AQI forecast data exceeds the first AQI preset threshold but does not exceed the second AQI preset threshold, the predicted air quality level is determined to be level two; when the AQI forecast data exceeds the second AQI preset threshold but does not exceed the third AQI preset threshold, the predicted air quality level is determined to be level three; when the AQI forecast data exceeds the third AQI preset threshold but does not exceed the fourth AQI preset threshold, the predicted air quality level is determined to be level three. The air quality level is level 4; when the AQI forecast data exceeds the fourth AQI preset threshold value and does not exceed the fifth AQI preset threshold value, the predicted air quality level is determined to be level 5; when the AQI forecast data exceeds the fifth AQI preset threshold value, the predicted air quality level is determined to be level 6; level 1, level 2, level 3, level 4, level 5 and level 6 correspond to excellent (AQI range: 0-50), good (AQI range: 51-100), light pollution (AQI range: 101-150), moderate pollution (AQI range: 151-200), heavy pollution (AQI range: 201-300) and severe pollution (AQI range: above 300); The quantity determination unit 103 is used to determine the number of mobile monitoring stations and the number of fixed monitoring stations in the target city per unit time according to the predicted air quality level; obtain the total number of all monitoring stations in the target city, the proportion of the mobile monitoring stations in the total number is positively correlated with the predicted air quality level, the higher the predicted air quality level, the more corresponding mobile monitoring stations, and conversely the fewer fixed monitoring stations, the number of mobile monitoring stations and the number of fixed monitoring stations constitute the total number of all monitoring stations in the target city.

[0021] See also Figure 3 As a preferred embodiment of the present invention, the monitoring station classification module 200 includes: A historical data acquisition unit 201 is used to acquire historical AQI data monitored by each monitoring station within a target historical period, wherein the target historical period generally refers to the previous day or the previous few hours, and the target historical period includes at least one complete unit period, which may refer to one hour or two hours, etc. Each monitoring station collects and monitors historical AQI data at least once within a unit period; A monitoring station sorting unit 202 is used to obtain the maximum value of the historical AQI data of the monitoring station in each unit time period, and sort the monitoring stations in each unit time period in descending order according to the maximum value of the historical AQI data to obtain a plurality of monitoring station sorting tables; The target ranking table acquisition unit 203 is used to obtain the ranking of each monitoring station in each monitoring station ranking table, and respectively count the sum of the rankings of each monitoring station, and perform secondary sorting on each monitoring station in ascending order according to the sum of the rankings to obtain a target ranking table; if there are identical values, secondary sorting is performed according to the maximum value of the historical AQI data in the target historical period in each monitoring station; The monitoring station determination unit 204 is used to determine the mobile monitoring stations within the current unit time of the target city according to the number of mobile monitoring stations and the target sorting table, that is, according to the number of mobile monitoring stations N, the first N monitoring stations are extracted from the target sorting table as mobile monitoring stations; the remaining monitoring stations are used as fixed monitoring stations, and the current unit time usually refers to the current day.

[0022] See also Figure 4 As a preferred embodiment of the present invention, the sampling determination module 300 includes: The mobile monitoring area determination unit 301 is used to obtain the monitoring area corresponding to each mobile monitoring station as the mobile monitoring area; The sampling point elimination unit 302 is used to obtain preset sampling points in the mobile monitoring area. When there is a fixed monitoring station in the mobile monitoring area, the sampling point corresponding to the fixed monitoring station is obtained and eliminated from the preset sampling points in the mobile monitoring area to obtain the deleted sampling points. A mobile sampling point quantity determination unit 303, configured to determine the number of mobile sampling points in each mobile monitoring area based on the AQI data within a preset interval; An actual moving sampling point determining unit 304 is used to determine the actual moving sampling points according to the moving sampling point quantity X and the deleted sampling points; The sampling frequency determination unit 305 is used to determine the sampling frequency of the mobile monitoring station based on the AQI data within a preset interval; specifically, it can be: obtaining the AQI data of each mobile monitoring station in the mobile monitoring area within the preset interval, and calculating the average value, determining the air quality level according to the average value, and determining the sampling frequency of the mobile monitoring station according to the air quality level. The air quality level is positively correlated with the sampling frequency, and the sampling frequency of each mobile monitoring station in the mobile monitoring area is the same.

[0023] As a preferred embodiment of the present invention, the mobile sampling point quantity determining unit 303 includes: The AQI data of each mobile monitoring station in the mobile monitoring area within a preset interval is obtained, and the average value is calculated. The air quality level is determined according to the average value. The number of mobile sampling points in each mobile monitoring area is determined according to the air quality level. The air quality level is positively correlated with the number of mobile sampling points, that is, the larger the average value of the AQI data within the preset interval, the larger the corresponding number of mobile sampling points, wherein the preset interval refers to a time interval with the current moment as the end point and a preset duration as the length.

[0024] As a preferred embodiment of the present invention, the actual moving sampling point determining unit 304 includes: Obtain the position information of each point in the deleted sampling points, determine that the sampling point corresponding to the fixed monitoring station in the mobile monitoring area is P0, calculate the distance between the fixed point P0 and all the points in the deleted sampling points, and store these distance values; initialize an empty set S for storing the selected points, add the fixed point P0 to the set S, select the point with the largest sum of distances from all the points in the set S among the deleted sampling points, and add it to the set S (this step can be achieved by traversing the remaining points, calculating the sum of the distances from each point to all the points in the set S, and selecting the point with the largest sum of distances); repeat the selection until the set S contains X points, and determine the X points in the set S as the actual mobile sampling points.

[0025] As a preferred embodiment of the present invention, the sampling execution module 400 includes: Determine whether each actual mobile sampling point has AQI data within a preset interval. When there is an actual mobile sampling point that does not have AQI data within the preset interval, determine that the actual mobile sampling point without AQI data is sorted first, and the actual mobile sampling point with AQI data is sorted last. The actual mobile sampling points sorted in front can be sorted randomly or according to the distance between them and the mobile monitoring stations. Determine the air quality level of each actual mobile sampling point sorted later within the preset interval according to the existing AQI data. Perform secondary sorting on the actual mobile sampling points sorted later according to the size of the air quality level. When the air quality levels are the same, they can be sorted randomly or according to the principle of proximity to the previous one. The mobile monitoring station performs sampling according to the order of the actual mobile sampling points. When sampling is performed at the mobile monitoring station, a shift system can be adopted to perform sampling in the order of the actual mobile sampling points.

[0026] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0027] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An intelligent environmental data collection system, characterized in that: The system comprises: A monitoring station quantity determination module is used to obtain the AQI forecast data of the target city within the current unit time, and determine the number of mobile monitoring stations and the number of fixed monitoring stations within the unit time of the target city according to the AQI forecast data; wherein, a target city is pre-set to be divided into several monitoring areas, and at least one monitoring station is arranged in one monitoring area, each monitoring station monitors only one monitoring area, and each monitoring area contains several pre-determined preset sampling points; each monitoring station corresponds to a fixed preset sampling point, which is used as the sampling point when it is determined to be a fixed monitoring station, and the number of preset sampling points is greater than or equal to the total number of monitoring stations; A monitoring station classification module is used to obtain historical AQI data monitored by each monitoring station within a target historical period, and determine the mobile monitoring stations and fixed monitoring stations within the current unit time of the target city according to the historical AQI data, the number of mobile monitoring stations, and the number of fixed monitoring stations, wherein the sampling frequency and sampling point of the mobile monitoring station are dynamically changed, the sampling frequency and sampling point of the fixed monitoring station are fixedly set, and the fixed monitoring station performs sampling at the fixed sampling point; A sampling determination module, used to determine the sampling frequency and actual mobile sampling point of the mobile monitoring station according to the AQI data within a preset interval; The sampling execution module is used to enable the mobile monitoring station to perform sampling based on the sampling frequency and the actual mobile sampling point.

2. The environmental protection data intelligent collection system according to claim 1 is characterized in that: The monitoring station quantity determination module includes: A forecast data acquisition unit, used to obtain the AQI forecast data of the target city within the current unit time; A quality level determination unit, configured to determine a predicted air quality level according to the AQI forecast data; The quantity determination unit is used to determine the number of mobile monitoring stations and the number of fixed monitoring stations per unit time in the target city according to the predicted air quality level.

3. The environmental protection data intelligent collection system according to claim 2 is characterized in that: The monitoring station classification module includes: A historical data acquisition unit, used to acquire historical AQI data monitored by each monitoring station within a target historical period, wherein the target historical period includes at least one complete unit period, and each monitoring station collects and monitors historical AQI data at least once within a unit period; A monitoring station sorting unit is used to obtain the maximum value of the historical AQI data in each unit time period of the monitoring station, and sort the monitoring stations in each unit time period in descending order according to the maximum value of the historical AQI data to obtain a plurality of monitoring station sorting tables; A target ranking table acquisition unit is used to acquire the ranking of each monitoring station in each monitoring station ranking table, and respectively count the sum of the rankings of each monitoring station, and perform secondary sorting of each monitoring station in ascending order according to the sum of the rankings to obtain a target ranking table; The monitoring station determination unit is used to determine the mobile monitoring stations in the target city within the current unit time according to the number of mobile monitoring stations and the target ranking table; the remaining monitoring stations are used as fixed monitoring stations.

4. The environmental protection data intelligent collection system according to claim 2 is characterized in that: The sampling determination module comprises: A mobile monitoring area determination unit, used to obtain a monitoring area corresponding to each mobile monitoring station as a mobile monitoring area; A sampling point elimination unit is used to obtain preset sampling points in the mobile monitoring area, and when there is a fixed monitoring station in the mobile monitoring area, obtain the sampling points corresponding to the fixed monitoring station, and eliminate them from the preset sampling points in the mobile monitoring area to obtain the deleted sampling points; A mobile sampling point quantity determination unit, configured to determine the number of mobile sampling points in each mobile monitoring area based on the AQI data within a preset interval; An actual moving sampling point determining unit, configured to determine the actual moving sampling points according to the moving sampling point quantity X and the deleted sampling points; The sampling frequency determination unit is used to determine the sampling frequency of the mobile monitoring station based on the AQI data within a preset interval.

5. The environmental protection data intelligent collection system according to claim 4 is characterized in that: The actual moving sampling point determination unit comprises: The position information of each point in the deleted sampling points is obtained, and the sampling point corresponding to the fixed monitoring station in the mobile monitoring area is determined to be P0. The distance between the fixed point P0 and all the points in the deleted sampling points is calculated, and these distance values ​​are stored. An empty set S is initialized to store the selected points, and the fixed point P0 is added to the set S. Among the deleted sampling points, the point with the largest sum of distances from all the points in the set S is selected, and the point is added to the set S. The selection is repeated until the set S contains X points, and the X points in the set S are determined as the actual mobile sampling points.

6. The environmental protection data intelligent collection system according to claim 4, characterized in that: The mobile sampling point quantity determination unit comprises: The AQI data of each mobile monitoring station in the mobile monitoring area within a preset interval is obtained, and the average value is calculated. The air quality level is determined according to the average value. The number of mobile sampling points in each mobile monitoring area is determined according to the air quality level. The air quality level is positively correlated with the number of mobile sampling points, that is, the larger the average value of the AQI data within the preset interval, the larger the corresponding number of mobile sampling points, wherein the preset interval refers to a time interval with the current moment as the end point and a preset duration as the length.

7. The environmental protection data intelligent collection system according to claim 1 is characterized in that: The sampling execution module comprises: Determine whether each actual mobile sampling point has AQI data within a preset interval. When there is an actual mobile sampling point that does not have AQI data within the preset interval, determine that the actual mobile sampling points without AQI data are sorted first, and the actual mobile sampling points with AQI data are sorted last. Determine the air quality level of each actual mobile sampling point sorted last within the preset interval according to the existing AQI data, and perform secondary sorting on the actual mobile sampling points sorted last according to the size of the air quality level. The mobile monitoring station performs sampling according to the order of the actual mobile sampling points.

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