Method and device for monitoring environmental data, storage medium and processor

Abstract

The present invention discloses a method and device for monitoring environmental data, a storage medium and a processor, and relates to the technical field of environmental evaluation, comprising: an environmental monitoring cloud server responds to and receives an environmental data monitoring request, and counts the monitoring request data; according to the monitoring request data, extracts an environmental monitoring area mark as a pre-monitoring area, and performs information filtering and collection on the pre-monitoring area to determine an environmental monitoring constraint information set for the pre-monitoring area; writes the environmental monitoring constraint information set for the pre-monitoring area into an environmental monitoring central processor, and generates environmental monitoring characterization parameters for the pre-monitoring area, and obtains an ideal solution for the number of environmental monitoring deployment points and an ideal solution for the number of environmental monitoring times for the pre-monitoring area through correction processing. The present invention realizes targeted monitoring measure adjustment in the early stage of environmental data monitoring, so that the monitoring intensity can adapt to the specific characteristics of the monitoring area, and ensures the effectiveness and accuracy of the environmental monitoring evaluation results.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental assessment, and in particular to a method and device for monitoring environmental data, a storage medium and a processor. Background Art

[0002] With economic development and population growth, environmental pollution, ecological destruction and other problems have become increasingly prominent. Therefore, it is necessary to conduct environmental assessment in a timely manner in order to discover and solve necessary environmental problems. Environmental monitoring is the main means of obtaining environmental data. Environmental data provides an important basis for environmental assessment. Through the monitoring of environmental data, we can intuitively understand the current status and changing trends of the environment, thereby further providing a scientific basis for environmental assessment.

[0003] At present, the existing technology still has the following problems in monitoring environmental data: currently, there is no targeted adjustment of monitoring measures in the early stage of environmental data monitoring, such as adjustment of the number of environmental data monitoring points and the frequency of environmental data monitoring. Different monitoring areas have different characteristics, which makes the demand for environmental data monitoring also different. At this time, if the environmental data monitoring of a single point or a normalized frequency is carried out in a stereotyped manner, it may lead to large errors and deviations in the evaluation results of environmental monitoring, thereby affecting the accuracy and credibility of environmental assessment, which is not enough to support in-depth understanding and effective management of environmental conditions.

[0004] In summary, there is no effective solution to the problem that relevant technologies do not make targeted adjustments to monitoring measures in the early stages of environmental data monitoring. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and device for monitoring environmental data, a storage medium and a processor, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: According to one aspect of an embodiment of the present application, a method for monitoring environmental data is provided, including: an environmental monitoring cloud server responds to receiving an environmental data monitoring request and counting the monitoring request data.

[0007] According to the monitoring request data, an environmental monitoring area mark is extracted as a pre-monitoring area, and information filtering and collection is performed on the pre-monitoring area to determine an environmental monitoring constraint information set for the pre-monitoring area.

[0008] The environmental monitoring constraint information set of the pre-monitoring area is written into the environmental monitoring central processor, and the environmental monitoring characterization parameters of the pre-monitoring area are generated.

[0009] The preset number of environmental monitoring points and the preset number of environmental monitoring times are counted from the environmental monitoring background memory, and based on the environmental monitoring characterization parameters of the pre-monitoring area, the ideal solution of the number of environmental monitoring points and the ideal solution of the environmental monitoring times in the pre-monitoring area are obtained through correction processing.

[0010] As a preferred embodiment, the filtering and collecting of information in the pre-monitoring area to determine the environmental monitoring constraint information set of the pre-monitoring area specifically includes:

[0011] Extract monitoring request data, including environmental monitoring areas, geographical locations of environmental monitoring areas, and areas of environmental monitoring areas.

[0012] The environmental monitoring area geographical location point and the environmental monitoring area area are marked as the pre-monitoring area geographical location point and the pre-monitoring area area respectively.

[0013] The GIS spatial mapping image of the area where the geographical location point of the pre-monitoring area is located is extracted from the environmental monitoring background storage and marked as the GIS spatial mapping image of the affiliated area.

[0014] According to the geographical location point and area of ​​the pre-monitoring area, the coverage image area of ​​the pre-monitoring area is mapped and located from the GIS spatial mapping image of the affiliated area, which is recorded as the GIS mapping image area.

[0015] The total water area, total land area, distance between the center point of each water body and the center point of the pre-monitoring area, and the area occupied by each coverage type of the pre-monitoring area are extracted from the GIS mapping image area and jointly marked as the first monitoring constraint information set.

[0016] Observation points are deployed in the pre-monitoring area, and the elevation of each observation point is extracted from the GIS mapping image area. The straight-line interval distance and spatial height difference between the highest point and the lowest point in the pre-monitoring area are simultaneously extracted and jointly marked as the second monitoring constraint information set.

[0017] According to the covered image area of ​​the pre-monitoring area, the edge contour of the covered image area of ​​the pre-monitoring area is outlined, and the edge contour of the covered image area is enlarged and diffused by a preset extension distance to obtain the delineated edge contour of the associated area, and the covered image area between the delineated edge contour of the associated area and the edge contour of the covered image area is recorded as the associated area.

[0018] The number of permanent residents in the associated area, the population distribution density in the associated area, and the average daily traffic volume of each municipal road in the associated area are counted from the environmental monitoring background storage, and are jointly recorded as the third monitoring constraint information set.

[0019] Based on the GIS spatial mapping image of the affiliated area, the total traffic area coverage, total building area, cumulative volume of buildings, total area of ​​susceptible areas and the total number of water areas converging with the pre-monitoring area of ​​the associated area are extracted and recorded together as the fourth monitoring constraint information set.

[0020] The first monitoring constraint information set, the second monitoring constraint information set, the third monitoring constraint information set, and the fourth monitoring constraint information set are jointly marked as the environmental monitoring constraint information set of the pre-monitoring area.

[0021] As a preferred embodiment, the environmental monitoring characterization parameters of the pre-monitoring area are generated, and the specific generation process includes: according to the environmental monitoring constraint information set of the pre-monitoring area, the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area are processed in sequence, and imported into the characterization parameter generation model preset in the environmental monitoring central processor, and the environmental monitoring characterization parameters of the pre-monitoring area are processed. The environmental monitoring characterization parameters of the pre-monitoring area are used to evaluate and determine the complexity of environmental monitoring and the importance of environmental monitoring in the pre-monitoring area, and are used as the basis for analyzing the ideal solution of the number of environmental monitoring deployment points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area.

[0022] As a preferred embodiment, the characterization parameter generation model is specifically as follows:

[0023]

[0024] in, represents the environmental monitoring characterization parameter of the pre-monitoring area, Δγ represents the reference threshold value for generating the predefined environmental monitoring characterization parameter, γ0 represents the convergence value of the environmental monitoring characterization factor, γ0=γ1+γ2+γ3+γ4, θ represents the evaluation impact factor corresponding to the unit deviation value of the predefined environmental monitoring characterization parameter, γ1, γ2, γ3, and γ4 respectively represent the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area, a1 represents the weight of setting the first environmental monitoring characterization factor, a2 represents the weight of setting the second environmental monitoring characterization factor, a3 represents the weight of setting the third environmental monitoring characterization factor, and a4 represents the weight of setting the fourth environmental monitoring characterization factor.

[0025] As a preferred embodiment, the ideal solution for the number of environmental monitoring points in the pre-monitoring area and the ideal solution for the number of environmental monitoring times are obtained through correction processing. The specific process is: based on the environmental monitoring characterization parameters of the pre-monitoring area, they are verified with the environmental monitoring characterization parameter control values ​​in the environmental monitoring background memory.

[0026] After verification, if the environmental monitoring characterization parameter of the pre-monitoring area is lower than the environmental monitoring characterization parameter control value, the difference between the environmental monitoring characterization parameter of the pre-monitoring area and the environmental monitoring characterization parameter control value is defined as the corrected reduction index value, and the environmental monitoring point number reduction factor and the environmental monitoring frequency reduction factor corresponding to the corrected reduction unit index value are counted from the environmental monitoring background memory, and imported into the first correction model, and the first corrected number of environmental monitoring points and the first corrected number of environmental monitoring in the pre-monitoring area are obtained through processing, which are used as the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring in the pre-monitoring area respectively.

[0027] If the environmental monitoring characterization parameter of the pre-monitoring area is equal to the environmental monitoring characterization parameter control value, then the ideal solution for the number of environmental monitoring points in the pre-monitoring area is equal to the preset number of environmental monitoring points, and the ideal solution for the number of environmental monitoring times in the pre-monitoring area is equal to the preset number of environmental monitoring times.

[0028] If the environmental monitoring characterization parameter of the pre-monitoring area is higher than the environmental monitoring characterization parameter control value, the difference between the environmental monitoring characterization parameter of the pre-monitoring area and the environmental monitoring characterization parameter control value is defined as the corrected supplementary index value, and the environmental monitoring layout point number supplement factor and the environmental monitoring frequency supplement factor corresponding to the corrected supplementary unit index value are counted from the environmental monitoring background memory, and imported into the second correction model, and the second corrected number of environmental monitoring layout points and the second corrected number of environmental monitoring in the pre-monitoring area are obtained by processing, and they are used as the ideal solution of the number of environmental monitoring layout points and the ideal solution of the environmental monitoring frequency in the pre-monitoring area respectively.

[0029] As a preferred embodiment, the first correction model is specifically as follows:

[0030]

[0031] Among them, R1 represents the first revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β reduce It represents the corrected reduction index value, μ1 represents the reduction factor of the number of environmental monitoring points corresponding to the corrected reduction unit index value, G1 represents the first corrected number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ2 represents the reduction factor of the number of environmental monitoring times corresponding to the corrected reduction unit index value.

[0032] As a preferred embodiment, the second correction model is as follows:

[0033]

[0034] Among them, R2 represents the second revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β increaseIt represents the revised supplementary index value, μ3 represents the supplementary factor of the number of environmental monitoring points corresponding to the revised supplementary unit index value, G2 represents the second revised number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ4 represents the supplementary factor of the number of environmental monitoring times corresponding to the revised supplementary unit index value.

[0035] According to another aspect of an embodiment of the present application, a device for monitoring environmental data is provided, including: a request response receiving module, used to receive environmental data monitoring requests in response to an environmental monitoring cloud server, and to count monitoring request data.

[0036] The information filtering and collecting module is used to extract the environmental monitoring area mark as the pre-monitoring area according to the monitoring request data, and filter and collect information on the pre-monitoring area to determine the environmental monitoring constraint information set of the pre-monitoring area.

[0037] The information processing module is used to write the environmental monitoring constraint information set of the pre-monitoring area into the environmental monitoring central processor and generate environmental monitoring characterization parameters of the pre-monitoring area.

[0038] The environmental monitoring correction processing module is used to count the preset number of environmental monitoring points and the preset environmental monitoring times from the environmental monitoring background memory, and obtain the ideal solution of the number of environmental monitoring points and the ideal solution of the environmental monitoring times in the pre-monitoring area through correction processing based on the environmental monitoring characterization parameters of the pre-monitoring area.

[0039] According to another aspect of the embodiments of the present application, a storage medium is provided, wherein the storage medium stores one or more programs, and the one or more programs are executed by one or more processors to implement the above-described method.

[0040] According to another aspect of the embodiments of the present application, a processor is provided, wherein the processor is used to run a program, wherein the above-mentioned method is executed when the program is run.

[0041] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0042] (1) The present invention provides a method and device for monitoring environmental data, a storage medium and a processor, which can effectively process and obtain the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area, so as to realize targeted adjustment of monitoring measures in the early stage of environmental data monitoring. Taking into account the different characteristics of different monitoring areas, the monitoring intensity of environmental data can be adapted to the specific characteristics of the monitoring area through the adjustment of monitoring measures, which makes up for the shortcomings caused by the stereotyped implementation of environmental data monitoring at a single point or a normalized number of times, and further ensures the effectiveness and accuracy of the environmental monitoring evaluation results.

[0043] (2) The present invention generates environmental monitoring characterization parameters of the pre-monitoring area, combines the characteristics of the pre-monitoring area, and quantitatively processes the relevant characteristic information of the pre-monitoring area, so that the adjustment of the number of environmental monitoring points and the number of environmental monitoring times can be supported by objective data. This can not only effectively save time and resources and help improve the efficiency of environmental data monitoring, but also further ensure the accuracy and credibility of environmental assessment.

[0044] (3) The present invention finally obtains the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area through correction processing. Through the analysis of the monitoring points and the number of monitoring times, it can help to collect more accurate and comprehensive environmental data. At the same time, optimizing the number of deployment points and the number of environmental monitoring times can avoid wasting resources, making the environmental monitoring process more efficient and coordinated, promoting the improvement of the flexibility and adaptability of environmental data monitoring, and helping to support in-depth understanding and effective management of environmental conditions.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0047] Figure 2 It is a schematic diagram of the connection of the device modules of the present invention.

[0048] Figure 3 The diagram is a schematic diagram of the division of associated areas involved in an embodiment of the present invention.

[0049] Reference numerals: 1. edge contour of the covered image area of ​​the pre-monitoring area, 2. edge contour of the demarcated area of ​​the associated area, 3. associated area. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0052] See also Figure 1 As shown, a first aspect of an embodiment of the present invention provides a method for monitoring environmental data, including: Step 1: an environmental monitoring cloud server responds to receive an environmental data monitoring request and counts the monitoring request data.

[0053] The environmental monitoring cloud server refers to a server system deployed on a cloud computing platform, which has functions such as storing, processing and analyzing environmental monitoring data. In this embodiment, the environmental monitoring cloud server needs to receive active monitoring requests from monitoring equipment or user terminals. These monitoring requests can be real-time requests or scheduled periodic requests. After receiving the environmental data monitoring request, the monitoring request data attached to the environmental data monitoring request is synchronously obtained. The source of the monitoring request data can be actively uploaded by the user terminal, or it can be the historical response request report and record of the environmental monitoring cloud server.

[0054] Step 2: According to the monitoring request data, extract the environmental monitoring area mark as the pre-monitoring area, filter and collect information on the pre-monitoring area, and determine the environmental monitoring constraint information set of the pre-monitoring area.

[0055] Specifically, the information filtering and collection of the pre-monitoring area determines the environmental monitoring constraint information set of the pre-monitoring area. The specific process includes: extracting monitoring request data, specifically including the environmental monitoring area, the geographical location point of the environmental monitoring area and the area of ​​the environmental monitoring area.

[0056] The environmental monitoring area geographical location point and the environmental monitoring area area are marked as the pre-monitoring area geographical location point and the pre-monitoring area area respectively.

[0057] The GIS spatial mapping image of the area where the geographical location point of the pre-monitoring area is located is extracted from the environmental monitoring background storage and marked as the GIS spatial mapping image of the affiliated area. Among them, the GIS spatial mapping image is the surface information obtained by remote sensing technology, which is usually used to monitor surface changes and conduct environmental monitoring.

[0058] According to the geographical location point and area of ​​the pre-monitoring area, the coverage image area of ​​the pre-monitoring area is mapped and located from the GIS spatial mapping image of the affiliated area, which is recorded as the GIS mapping image area.

[0059] The total water area, total land area, distance between the center point of each water body and the center point of the pre-monitoring area, and the area occupied by each coverage type of the pre-monitoring area are extracted from the GIS mapping image area and jointly marked as the first monitoring constraint information set.

[0060] It should be understood that the water area is an area covered by water, while the land area is an area covered by land. The water area includes all water areas, and the above-mentioned water bodies include but are not limited to lakes, rivers, streams, reservoirs, etc.

[0061] The various types of land coverage include but are not limited to grassland, farmland, forest land, etc.

[0062] Observation points are deployed in the pre-monitoring area, and the elevation of each observation point is extracted from the GIS mapping image area. The straight-line interval distance and spatial height difference between the highest point and the lowest point in the pre-monitoring area are simultaneously extracted and jointly marked as the second monitoring constraint information set.

[0063] like Figure 3 As shown, based on the coverage image area of ​​the pre-monitoring area, the edge contour of the coverage image area of ​​the pre-monitoring area is delineated (1), and the edge contour of the coverage image area (1) is enlarged and diffused by a preset extension distance to obtain the associated area delineated edge contour (2), and the coverage image area between the associated area delineated edge contour and the edge contour of the coverage image area is recorded as the associated area (3).

[0064] In this embodiment, the associated areas are divided according to a preset extension distance of 100 meters. In a specific embodiment, the preset extension distance can be adaptively adjusted according to monitoring requirements and is not limited to the 100-meter limit in this embodiment.

[0065] In this embodiment, the purpose of obtaining associated areas through division is to take into account that the characteristic information of the surrounding associated areas may directly or indirectly affect the environmental conditions of the pre-monitoring area. By synchronously dividing the associated areas for data collection and analysis, the overall environmental impact trend of the pre-monitoring area can be fully understood, thereby more accurately evaluating the environmental impact of the pre-monitoring area and providing more comprehensive data support and basis for the environmental monitoring characterization parameters of the pre-monitoring area.

[0066] The number of permanent residents in the associated area, the population distribution density in the associated area, and the average daily traffic volume of each municipal road in the associated area are counted from the environmental monitoring background storage, and are jointly recorded as the third monitoring constraint information set.

[0067] It should be noted that the statistics of the number of permanent residents in the associated areas, the population distribution density in the associated areas and the average daily traffic volume of each municipal road in the associated areas are specifically: the resident population distribution diagram of each region, the population density distribution diagram of each region and the average daily traffic volume of each municipal road in each region in the statistical environment monitoring background memory, and the associated area position is filtered and located therefrom, and the number of permanent residents in the associated areas, the population distribution density of the associated areas and the average daily traffic volume of each municipal road in the associated areas are extracted in turn.

[0068] Based on the GIS spatial mapping image of the affiliated area, the total traffic area coverage, total building area, cumulative volume of buildings, total area of ​​susceptible areas and the total number of water areas converging with the pre-monitoring area of ​​the associated area are extracted and recorded together as the fourth monitoring constraint information set.

[0069] It should be understood that the susceptible areas include but are not limited to wetlands, human settlements, reservoirs, farmlands, etc. In environmental monitoring, susceptible areas are usually areas that are sensitive to environmental changes or pollution and are areas that require special attention and monitoring.

[0070] As a further explanation, the water area that converges with the pre-monitoring area is the area connected to the pre-monitoring area through rivers, streams, lakes and other water areas. Analyzing the water areas connected to the pre-monitoring area can help understand the changing trends of water impacts in the pre-monitoring area and improve the comprehensiveness of subsequent environmental monitoring data analysis.

[0071] The first monitoring constraint information set, the second monitoring constraint information set, the third monitoring constraint information set, and the fourth monitoring constraint information set are jointly marked as the environmental monitoring constraint information set of the pre-monitoring area.

[0072] Step 3: Write the environmental monitoring constraint information set of the pre-monitoring area into the environmental monitoring central processor, and generate the environmental monitoring characterization parameters of the pre-monitoring area. The environmental monitoring central processor refers to the central processor unit in the computer hardware device used to process environmental monitoring data, which can be responsible for processing the collected environmental monitoring data, executing data analysis algorithms, controlling data storage and transmission, etc. In this embodiment, the use of the environmental monitoring central processor can improve the efficiency of environmental data processing and analysis, realize real-time monitoring and response functions, ensure the accuracy and integrity of environmental monitoring data, and can provide flexible and convenient remote control and monitoring functions, providing reliable data support for environmental data monitoring.

[0073] In an embodiment of the present invention, by generating environmental monitoring characterization parameters of the pre-monitoring area, combining the characteristics of the pre-monitoring area, and quantitatively processing the relevant characteristic information of the pre-monitoring area, the adjustment of the number of environmental monitoring points and the number of environmental monitoring times can be supported by objective data, which can not only effectively save time and resources and help improve the efficiency of environmental data monitoring, but also further ensure the accuracy and credibility of environmental assessment.

[0074] Specifically, the environmental monitoring characteristic parameters of the pre-monitoring area are generated, and the specific generation process includes:

[0075] According to the environmental monitoring constraint information set of the pre-monitoring area, the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor and the fourth environmental monitoring characterization factor of the pre-monitoring area are processed in sequence, and imported into the characterization parameter generation model preset in the environmental monitoring central processor, and the environmental monitoring characterization parameters of the pre-monitoring area are obtained by processing. The environmental monitoring characterization parameters of the pre-monitoring area are used to evaluate and determine the complexity of environmental monitoring and the importance of environmental monitoring in the pre-monitoring area, and are used as an analysis basis for the ideal solution of the number of environmental monitoring deployment points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area.

[0076] In an embodiment, the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area can be obtained in the following ways: first, by combining the principal component analysis method to obtain them. The principal component analysis method is a commonly used multivariate data analysis method. By converting multiple data variables in the environmental monitoring constraint information set of the pre-monitoring area into a small number of unrelated principal components, the main change patterns and common characteristics of the data in the environmental monitoring constraint information set of the pre-monitoring area are revealed, thereby identifying the environmental characteristics of the pre-monitoring area, and finally determining the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area respectively; second, the environmental monitoring constraint information set of the pre-monitoring area can also be modeled and analyzed in combination with a machine learning algorithm, such as linear regression, decision tree, random forest, etc., and the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area are determined through data mining analysis.

[0077] It is worth noting that, in this embodiment, the first environmental monitoring characterization factor of the pre-monitoring area is processed according to the first monitoring constraint information set. The first environmental monitoring characterization factor of the pre-monitoring area is a numerical result obtained by analyzing and processing the first monitoring constraint information set for evaluating and determining the environmental complexity of the pre-monitoring area, and is used as a data basis for generating environmental monitoring characterization parameters of the pre-monitoring area. In this embodiment, the first environmental monitoring characterization factor of the pre-monitoring area is specifically processed under the following constraints:

[0078]

[0079] In the above formula, γ1 represents the first environmental monitoring characterization factor of the pre-monitoring area, S1 represents the total water area of ​​the pre-monitoring area, S0 represents the total area of ​​the pre-monitoring area, S2 represents the total land area of ​​the pre-monitoring area, ΔS1 represents the proportion of the pre-defined water area, ΔS2 represents the proportion of the pre-defined land area, and L jrepresents the distance between the center point of the jth water body in the pre-monitoring area and the center point of the pre-monitoring area, It represents the average distribution distance between the center point of the water body in the pre-monitoring area and the center point of the pre-monitoring area. Z m represents the area of ​​the mth coverage type of land in the pre-monitoring area, ΔZ m It represents the defined proportion of the predefined mth land cover type, j represents the number of the center point of each water body, j=1,2,...,j0, j0 represents the total number of water body center points, m represents the number of each land cover type, m=1,2,...,m0, m0 represents the total number of land cover types, e is a natural constant, e>2.

[0080] It is worth noting that, in this embodiment, according to the second monitoring constraint information set, the second environmental monitoring characterization factor of the pre-monitoring area is processed, and the second environmental monitoring characterization factor of the pre-monitoring area is obtained by analyzing and processing the second monitoring constraint information set, and is a numerical result used to evaluate and determine the environmental complexity of the pre-monitoring area, and is used as a data basis for generating environmental monitoring characterization parameters of the pre-monitoring area. In this embodiment, the second environmental monitoring characterization factor of the pre-monitoring area is specifically processed under the following constraints:

[0081]

[0082] In the above formula, γ2 represents the second environmental monitoring characterization factor of the pre-monitoring area, H n represents the elevation of the nth observation location point, X and C represent the straight-line interval distance and spatial height difference between the highest point and the lowest point in the pre-monitoring area respectively, X0 represents the characterization interference factor corresponding to the unit distance of the straight-line interval between the predefined highest point and the lowest point, C0 represents the characterization evaluation factor corresponding to the unit spatial height difference between the predefined highest point and the lowest point, n is the number of each observation location point, n=1,2,...,n0, n0 represents the total number of observation location points.

[0083] It should be understood that the first environmental monitoring characterization factor of the pre-monitoring area and the second environmental monitoring characterization factor of the pre-monitoring area are analyzed and processed for the pre-monitoring area itself, with the aim of fully evaluating the main characteristics of the pre-monitoring area and reflecting the complexity of environmental monitoring in the pre-monitoring area. For areas with highly complex monitoring, more rigorous and detailed environmental monitoring is usually required to avoid the phenomenon that simple environmental monitoring cannot effectively meet the high demand for environmental monitoring in highly complex areas.

[0084] It is worth noting that, in this embodiment, the third environmental monitoring characterization factor of the pre-monitoring area is processed according to the third monitoring constraint information set. The third environmental monitoring characterization factor of the pre-monitoring area is a numerical result obtained by analyzing and processing the third monitoring constraint information set for evaluating and determining the degree of environmental impact of the pre-monitoring area, and is used as a data basis for generating environmental monitoring characterization parameters of the pre-monitoring area. In this embodiment, the third environmental monitoring characterization factor of the pre-monitoring area is specifically processed under the following constraints:

[0085]

[0086] Among them, γ3 represents the third environmental monitoring characterization factor of the pre-monitoring area, D represents the number of permanent residents in the associated area, ρ represents the population distribution density in the associated area, and F b represents the average daily traffic volume of the bth municipal road in the associated area, D0 represents the predefined control permanent population, ρ0 represents the control population distribution density, F0 represents the predefined control average daily traffic volume of municipal roads, b represents the number of each municipal road, b=1,2,...,b0, b0 represents the total number of municipal roads in the associated area.

[0087] It is worth noting that, in this embodiment, according to the fourth monitoring constraint information set, the fourth environmental monitoring characterization factor of the pre-monitoring area is processed. The fourth environmental monitoring characterization factor of the pre-monitoring area is a numerical result obtained by analyzing and processing the fourth monitoring constraint information set for evaluating and determining the degree of environmental impact of the pre-monitoring area, and is used as a data basis for generating environmental monitoring characterization parameters of the pre-monitoring area. In this embodiment, the fourth environmental monitoring characterization factor of the pre-monitoring area is specifically processed under the following constraints:

[0088]

[0089] Among them, γ4 represents the fourth environmental monitoring characterization factor of the pre-monitoring area, B1 represents the total coverage area of ​​the traffic area of ​​the associated area, B2 represents the total floor area of ​​the buildings in the associated area, V1 represents the cumulative volume of buildings in the associated area, B3 represents the total floor area of ​​the susceptible areas in the associated area, N1 represents the total number of water areas that converge with the pre-monitoring area in the associated area, B0 represents the total coverage area of ​​the associated area, ΔB1 ​​represents the reference coverage ratio of the predefined traffic area, ΔB2 represents the reference floor area ratio of the predefined buildings, r1 represents the characterization factor corresponding to the unit volume of the predefined buildings, r2 represents the characterization factor corresponding to the unit floor area of ​​the predefined susceptible areas, r3 represents the characterization factor corresponding to the predefined single confluence water area, and e is a natural constant.

[0090] It should be understood that the third environmental monitoring characterization factor of the above-mentioned pre-monitoring area and the fourth environmental monitoring characterization factor of the pre-monitoring area are both specifically analyzed for the associated areas. The purpose is that for environmental monitoring, it is often not possible to simply consider the monitoring area itself. The associated area can also further reflect the environmental monitoring needs of the pre-monitoring area. For example, if there is a high-density population or high-pressure traffic conditions in the associated area, the higher the degree of environmental monitoring demand for the pre-monitoring area. At this time, it is necessary to further improve the environmental monitoring efforts in the pre-monitoring area. Considering this dimension, the subsequent environmental monitoring characterization parameters of the pre-monitoring area have obtained more solid data support, and it also provides further guarantee for the analysis of the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area.

[0091] Furthermore, the characterization parameter generation model is as follows:

[0092]

[0093] in, represents the environmental monitoring characterization parameter of the pre-monitoring area, Δγ represents the reference threshold value for generating the predefined environmental monitoring characterization parameter, γ0 represents the convergence value of the environmental monitoring characterization factor, γ0=γ1+γ2+γ3+γ4, θ represents the evaluation impact factor corresponding to the unit deviation value of the predefined environmental monitoring characterization parameter, γ1, γ2, γ3, and γ4 respectively represent the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area, a1 represents the weight of setting the first environmental monitoring characterization factor, a2 represents the weight of setting the second environmental monitoring characterization factor, a3 represents the weight of setting the third environmental monitoring characterization factor, and a4 represents the weight of setting the fourth environmental monitoring characterization factor.

[0094] In an embodiment, the environmental monitoring characterization parameters of the pre-monitoring area can not only be obtained by analyzing the above-mentioned characterization parameter generation model, but also by performing terrain and landform analysis through a digital elevation model (DEM), so as to obtain information such as terrain undulation characteristics, landform type, surface slope, etc. of the pre-monitoring area. GIS analysis software can also be used to process and analyze geographical related information in the monitoring area, and combined with statistical methods for data processing, to ultimately determine the environmental monitoring characterization parameters of the pre-monitoring area.

[0095] Step 4: Count the preset number of environmental monitoring points and the preset number of environmental monitoring times from the environmental monitoring background storage, and according to the environmental monitoring characterization parameters of the pre-monitoring area, obtain the ideal solution of the number of environmental monitoring points and the ideal solution of the environmental monitoring times in the pre-monitoring area through correction processing.

[0096] The preset number of environmental monitoring deployment points and the preset number of environmental monitoring times refer to the default number of deployment monitoring points and the default number of monitoring times for environmental monitoring stored in the environmental monitoring background memory.

[0097] In an embodiment, a statistical method can be used to determine the number of adaptive monitoring points and the number of monitoring times. For example, by performing a statistical analysis on the relevant influencing data of the pre-monitoring area, the changing trend and fluctuation range of the overall environmental conditions of the pre-monitoring area can be estimated to determine the number of monitoring points and the number of monitoring times. It is also possible to combine expert experience and practice, make trade-offs and adjustments based on the actual situation of the pre-monitoring area and relevant environmental expertise, and ultimately formulate a suitable monitoring point layout plan and monitoring times, i.e., the ideal solution for the number of environmental monitoring layout points and the ideal solution for the number of environmental monitoring times in the pre-monitoring area.

[0098] In this embodiment, the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area obtained after correction are obtained by a more accurate analysis method. The specific process is: based on the environmental monitoring characterization parameters of the pre-monitoring area, and verified with the environmental monitoring characterization parameter control values ​​in the environmental monitoring background memory.

[0099] In the embodiment, the ideal solution for the number of environmental monitoring points and the ideal solution for the number of environmental monitoring times in the pre-monitoring area are finally obtained after correction processing. Through the analysis of the monitoring points and the number of monitoring times, more accurate and comprehensive environmental data can be collected. At the same time, optimizing the number of deployment points and the number of environmental monitoring times can avoid waste of resources, make the environmental monitoring process more efficient and coordinated, promote the improvement of the flexibility and adaptability of environmental data monitoring, and help support in-depth understanding and effective management of environmental conditions.

[0100] After verification, if the environmental monitoring characteristic parameter of the pre-monitoring area is lower than the environmental monitoring characteristic parameter control value, the difference between the environmental monitoring characteristic parameter of the pre-monitoring area and the environmental monitoring characteristic parameter control value is defined as the modified reduction index value β reduce , the reduction factor of the number of environmental monitoring points and the reduction factor of the number of environmental monitoring times corresponding to the corrected reduction unit index value are counted from the environmental monitoring background storage, and imported into the first correction model, and the first corrected number of environmental monitoring points and the first corrected number of environmental monitoring times in the pre-monitoring area are obtained through processing, and they are used as the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area respectively.

[0101] Furthermore, the first correction model is specifically as follows:

[0102]

[0103] Among them, R1 represents the first revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β reduce It represents the corrected reduction index value, μ1 represents the reduction factor of the number of environmental monitoring points corresponding to the corrected reduction unit index value, G1 represents the first corrected number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ2 represents the reduction factor of the number of environmental monitoring times corresponding to the corrected reduction unit index value.

[0104] If the environmental monitoring characterization parameter of the pre-monitoring area is equal to the environmental monitoring characterization parameter control value, then the ideal solution for the number of environmental monitoring points in the pre-monitoring area is equal to the preset number of environmental monitoring points Q1, and the ideal solution for the number of environmental monitoring times in the pre-monitoring area is equal to the preset number of environmental monitoring times Q2.

[0105] If the environmental monitoring characteristic parameter of the pre-monitoring area is higher than the environmental monitoring characteristic parameter control value, the difference between the environmental monitoring characteristic parameter of the pre-monitoring area and the environmental monitoring characteristic parameter control value is defined as the modified supplementary index value β increase , the supplementary factors for the number of environmental monitoring points and the number of environmental monitoring times corresponding to the revised and supplemented unit index values ​​are counted from the environmental monitoring background memory, and imported into the second correction model, and the second corrected number of environmental monitoring points and the second corrected number of environmental monitoring times in the pre-monitoring area are obtained through processing, which are used as the ideal solution for the number of environmental monitoring points and the ideal solution for the number of environmental monitoring times in the pre-monitoring area respectively.

[0106] Furthermore, the second correction model is specifically as follows:

[0107]

[0108] Among them, R2 represents the second revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β increase It represents the revised supplementary index value, μ3 represents the supplementary factor of the number of environmental monitoring points corresponding to the revised supplementary unit index value, G2 represents the second revised number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ4 represents the supplementary factor of the number of environmental monitoring times corresponding to the revised supplementary unit index value.

[0109] This embodiment also sets up an environmental monitoring background memory through application. In environmental monitoring, the background memory is used to store monitoring data and related indicator data, and is one of the key components of the entire environmental monitoring. This embodiment applies the environmental monitoring background memory to store a first indicator set and a second indicator set. The first indicator set includes: GIS spatial mapping images of various regions, schematic diagrams of permanent population distribution in various regions, schematic diagrams of population density distribution in various regions, and average daily traffic volume of various municipal roads in various regions.

[0110] The second indicator set includes: the preset number of environmental monitoring points, the preset number of environmental monitoring times, and the control value of environmental monitoring characteristic parameters, including the environmental monitoring point number reduction factor and the environmental monitoring number reduction factor corresponding to the modified reduced unit indicator value, and also includes the environmental monitoring point number supplement factor and the environmental monitoring number supplement factor corresponding to the modified supplementary unit indicator value.

[0111] It should also be noted that the first indicator set and the second indicator set, as well as all the predefined values ​​and set values ​​described above, are ultimately obtained after being collected and verified by a professional team and relevant personnel during the testing phase.

[0112] See also Figure 2 As shown, a second aspect of an embodiment of the present invention provides a device for monitoring environmental data, including: a request response receiving module, an information filtering and collecting module, an information processing module, and an environmental monitoring correction processing module.

[0113] The request response receiving module is used to respond to and receive environmental data monitoring requests through the environmental monitoring cloud server and to count the monitoring request data.

[0114] The information filtering and collecting module is used to extract the environmental monitoring area mark as the pre-monitoring area according to the monitoring request data, and filter and collect information on the pre-monitoring area to determine the environmental monitoring constraint information set of the pre-monitoring area.

[0115] The information processing module is used to write the environmental monitoring constraint information set of the pre-monitoring area into the environmental monitoring central processor and generate environmental monitoring characterization parameters of the pre-monitoring area.

[0116] The environmental monitoring correction processing module is used to count the preset number of environmental monitoring points and the preset environmental monitoring times from the environmental monitoring background memory, and obtain the ideal solution of the number of environmental monitoring points and the ideal solution of the environmental monitoring times in the pre-monitoring area through correction processing based on the environmental monitoring characterization parameters of the pre-monitoring area.

[0117] A third aspect of an embodiment of the present invention provides a storage medium, wherein the storage medium stores one or more programs, and the one or more programs are executed by one or more processors to implement the method described above.

[0118] A fourth aspect of an embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes the above-mentioned method when it is run.

[0119] In an embodiment of the present invention, a method and device for monitoring environmental data, a storage medium and a processor are provided, which can effectively process and obtain an ideal solution for the number of environmental monitoring deployment points and the ideal solution for the number of environmental monitoring times in the pre-monitoring area, so as to realize targeted adjustment of monitoring measures in the early stage of environmental data monitoring. Taking into account the different characteristic differences in different monitoring areas, the monitoring intensity of environmental data can be adapted to the specific characteristics of the monitoring area through the adjustment of monitoring measures, which makes up for the deficiencies caused by the stereotyped implementation of environmental data monitoring at a single point or a normalized number of times, and further ensures the effectiveness and accuracy of the environmental monitoring evaluation results.

[0120] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are 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 other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0121] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A method for monitoring environmental data, characterized in that: include: The environment monitoring cloud server responds to and receives the environment data monitoring request and counts the monitoring request data; According to the monitoring request data, extracting the environmental monitoring area mark as the pre-monitoring area, filtering and collecting information on the pre-monitoring area, and determining the environmental monitoring constraint information set of the pre-monitoring area; Writing the environmental monitoring constraint information set of the pre-monitoring area into the environmental monitoring central processor, and generating environmental monitoring characterization parameters of the pre-monitoring area; Counting the preset number of environmental monitoring points and the preset number of environmental monitoring times from the environmental monitoring background memory, and obtaining the ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area through correction processing according to the environmental monitoring characterization parameters of the pre-monitoring area; The filtering and collecting of information in the pre-monitoring area to determine the environmental monitoring constraint information set of the pre-monitoring area specifically includes: Extract monitoring request data, including environmental monitoring area, geographical location point of environmental monitoring area and area of ​​environmental monitoring area; Marking the environmental monitoring area geographical location point and the environmental monitoring area area as the pre-monitoring area geographical location point and the pre-monitoring area area respectively; Extract the GIS spatial mapping image of the area where the geographical location point of the pre-monitoring area is located from the environmental monitoring background storage, and mark it as the GIS spatial mapping image of the affiliated area; According to the geographical location point and area of ​​the pre-monitoring area, the coverage image area of ​​the pre-monitoring area is mapped and located from the GIS spatial mapping image of the subordinate area, which is recorded as the GIS mapping image area; Extract the total water area, total land area, distance between the center point of each water body and the center point of the pre-monitoring area, and the area occupied by each coverage type of the pre-monitoring area from the GIS mapping image area, and mark them together as the first monitoring constraint information set; Observation points are deployed in the pre-monitoring area, and the elevation of each observation point is extracted from the GIS mapping image area. The straight-line interval distance and spatial height difference between the highest point and the lowest point in the pre-monitoring area are simultaneously extracted and jointly marked as the second monitoring constraint information set; According to the covered image area of ​​the pre-monitored area, an edge contour of the covered image area of ​​the pre-monitored area is delineated, and the edge contour of the covered image area is enlarged and diffused by a preset extension distance to obtain a delineated edge contour of the associated area, and the covered image area between the delineated edge contour of the associated area and the edge contour of the covered image area is recorded as the associated area; The number of permanent residents in the associated area, the population distribution density in the associated area, and the average daily traffic volume of each municipal road in the associated area are counted from the environmental monitoring background storage device, and are jointly recorded as a third monitoring constraint information set; Based on the GIS spatial mapping image of the affiliated area, the total coverage area of ​​the traffic area, the total floor area of ​​the building, the cumulative volume of the building, the total floor area of ​​the susceptible area and the total number of water bodies converging with the pre-monitoring area are extracted from the associated area and recorded together as the fourth monitoring constraint information set; The first monitoring constraint information set, the second monitoring constraint information set, the third monitoring constraint information set, and the fourth monitoring constraint information set are jointly marked as an environmental monitoring constraint information set of the pre-monitoring area; The environmental monitoring characterization parameters of the pre-monitoring area are generated, and the specific generation process includes: According to the environmental monitoring constraint information set of the pre-monitoring area, the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area are processed in sequence, and imported into the characterization parameter generation model preset in the environmental monitoring central processor, and the environmental monitoring characterization parameters of the pre-monitoring area are processed to evaluate and determine the environmental monitoring complexity and environmental monitoring importance of the pre-monitoring area, and are used as an analysis basis for the ideal solution of the number of environmental monitoring deployment points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area; The characterization parameter generation model is specifically as follows: in, represents the environmental monitoring characterization parameter of the pre-monitoring area, Δγ represents the reference threshold value for generating the predefined environmental monitoring characterization parameter, γ0 represents the convergence value of the environmental monitoring characterization factor, γ0=γ1+γ2+γ3+γ4, θ represents the evaluation impact factor corresponding to the unit deviation value of the predefined environmental monitoring characterization parameter, γ1, γ2, γ3, and γ4 respectively represent the first environmental monitoring characterization factor, the second environmental monitoring characterization factor, the third environmental monitoring characterization factor, and the fourth environmental monitoring characterization factor of the pre-monitoring area, a1 represents the weight of setting the first environmental monitoring characterization factor, a2 represents the weight of setting the second environmental monitoring characterization factor, a3 represents the weight of setting the third environmental monitoring characterization factor, and a4 represents the weight of setting the fourth environmental monitoring characterization factor.

2. The method for monitoring environmental data according to claim 1, characterized in that: The ideal solution of the number of environmental monitoring points and the ideal solution of the number of environmental monitoring times in the pre-monitoring area are obtained through correction processing. The specific process is: According to the environmental monitoring characteristic parameters of the pre-monitoring area, the environmental monitoring characteristic parameter comparison value in the environmental monitoring background memory is verified; After verification, if the environmental monitoring characterization parameter of the pre-monitoring area is lower than the environmental monitoring characterization parameter control value, the difference between the environmental monitoring characterization parameter of the pre-monitoring area and the environmental monitoring characterization parameter control value is defined as the correction reduction index value, and the environmental monitoring deployment point number reduction factor and the environmental monitoring frequency reduction factor corresponding to the correction reduction unit index value are counted from the environmental monitoring background memory, and imported into the first correction model, and the first corrected number of environmental monitoring deployment points and the first corrected number of environmental monitoring in the pre-monitoring area are obtained by processing, and they are used as the ideal solution of the number of environmental monitoring deployment points and the ideal solution of the number of environmental monitoring in the pre-monitoring area respectively; If the environmental monitoring characteristic parameter of the pre-monitoring area is equal to the environmental monitoring characteristic parameter control value, then the ideal solution for the number of environmental monitoring deployment points in the pre-monitoring area is equal to the preset number of environmental monitoring deployment points, and the ideal solution for the number of environmental monitoring times in the pre-monitoring area is equal to the preset number of environmental monitoring times; If the environmental monitoring characterization parameter of the pre-monitoring area is higher than the environmental monitoring characterization parameter control value, the difference between the environmental monitoring characterization parameter of the pre-monitoring area and the environmental monitoring characterization parameter control value is defined as the corrected supplementary index value, and the environmental monitoring layout point number supplement factor and the environmental monitoring frequency supplement factor corresponding to the corrected supplementary unit index value are counted from the environmental monitoring background memory, and imported into the second correction model, and the second corrected number of environmental monitoring layout points and the second corrected number of environmental monitoring in the pre-monitoring area are obtained by processing, and they are used as the ideal solution of the number of environmental monitoring layout points and the ideal solution of the environmental monitoring frequency in the pre-monitoring area respectively.

3. The method for monitoring environmental data according to claim 2, characterized in that: The first correction model is as follows: Among them, R1 represents the first revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β reduce It represents the corrected reduction index value, μ1 represents the reduction factor of the number of environmental monitoring points corresponding to the corrected reduction unit index value, G1 represents the first corrected number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ2 represents the reduction factor of the number of environmental monitoring times corresponding to the corrected reduction unit index value.

4. The method for monitoring environmental data according to claim 2, characterized in that: The second revised model is as follows: Among them, R2 represents the second revised number of environmental monitoring points in the pre-monitoring area, Q1 represents the preset number of environmental monitoring points, β increase It represents the revised supplementary index value, μ3 represents the supplementary factor of the number of environmental monitoring points corresponding to the revised supplementary unit index value, G2 represents the second revised number of environmental monitoring in the pre-monitoring area, Q2 represents the preset number of environmental monitoring times, and μ4 represents the supplementary factor of the number of environmental monitoring times corresponding to the revised supplementary unit index value.

5. A device for using the method for monitoring environmental data according to any one of claims 1 to 4, characterized in that: include: The request response receiving module is used to respond to and receive environmental data monitoring requests through the environmental monitoring cloud server and to count the monitoring request data; An information filtering and collecting module is used to extract the environmental monitoring area mark as the pre-monitoring area according to the monitoring request data, and filter and collect information on the pre-monitoring area to determine the environmental monitoring constraint information set of the pre-monitoring area; An information processing module, used for writing the environmental monitoring constraint information set of the pre-monitoring area into the environmental monitoring central processor, and generating environmental monitoring characterization parameters of the pre-monitoring area; The environmental monitoring correction processing module is used to count the preset number of environmental monitoring points and the preset environmental monitoring times from the environmental monitoring background memory, and obtain the ideal solution of the number of environmental monitoring points and the ideal solution of the environmental monitoring times in the pre-monitoring area through correction processing based on the environmental monitoring characterization parameters of the pre-monitoring area.

6. A storage medium, characterized in that: The storage medium stores one or more programs, and the one or more programs are executed by one or more processors to implement the method according to any one of claims 1 to 4.

7. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 4 when running.

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