Mining area remaining metal-related pollution source information management system

Abstract

The invention provides a mining area remaining metal-related pollution source information management system, which comprises a user layer, a user interface layer, a data processing layer, a data analysis layer, a data layer, a data management layer, an interface layer, a support layer, an application layer and a display layer, and can be applied to the fields of historical remaining metal-related pollution source investigation and risk prevention and control / improvement. The basic function of the system is to provide a dynamic and interactive data management and analysis display platform, and aims to improve the efficiency and accuracy of information management of the historical residual metal-related pollution source, support collaborative linkage of departments, third-party units and the like of the government, optimize resource allocation and utilization, assist the prevention and control work of the historical residual metal-related pollution source, and improve the management efficiency and accuracy of the historical residual metal-related pollution source. And guarantee is provided for implementation of ecological environment protection planning and deep fighting of pollution prevention and treatment. In addition, the system further provides a pollution source information data filling platform, information comparison of all the remaining metal-related pollution sources is integrated, and relevant government departments can conveniently make environment management decisions.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental treatment, and in particular to an information management system for metal pollution sources left in mining areas. Background Art

[0002] With the long-term exploitation of mineral resources, metal pollution sources left in mining areas, such as heavy metal-contaminated soil and tailings pond leachate, pose a continuous threat to the ecological environment and human health. Existing technologies have obvious deficiencies in the efficiency, accuracy, real-time nature and interactivity of information management of historical metal pollution sources in mining areas. First, the investigation and remediation of historical metal pollution sources in mining areas are generally carried out by third-party units commissioned by relevant government departments or responsible units (including mines / district enterprises) in the mining area. After the third-party units (including investigation units, design units, remediation construction units, and effect evaluation units) complete the investigation, scheme design, remediation construction, and effect evaluation, they form corresponding electronic or paper reports. The commissioning departments or mining area enterprises mainly pass the commissioned The relevant information of the historical metal pollution sources left in the mining area can be obtained by reporting to the third party or providing relevant materials (investigation reports, remediation plans, effect evaluation reports, etc.). Other departments or relevant units can only obtain such information by checking the electronic or paper versions of the filed reports. Not only is the procedure cumbersome and passive, but it also requires manual reading to extract and integrate the required key information. In addition, the traditional metal pollution source investigation results and evaluation results between provinces, cities and counties, or between different cities and counties in the same province, or between departments in the same city and county often cannot be shared. There is a lack of convenient, effective and fast channels to refer to the ideas or work decisions of the risk prevention and control / remediation plans of the historical metal pollution sources in the same type of mining areas in other provinces and cities or other cities and counties in the province, and information integration cannot be achieved. Summary of the Invention

[0003] In view of this, the present invention proposes an information management system for metal pollution sources left over in mining areas, which provides a dynamic and interactive data management and analysis display platform to improve the efficiency and accuracy of information management of metal pollution sources left over in mining areas.

[0004] The technical solution of the present invention is achieved as follows:

[0005] An information management system for metal pollution sources left in mining areas, including:

[0006] User interface layer, used to receive external input pollution source information data;

[0007] Data processing layer, used to integrate, convert and analyze pollution source information data;

[0008] Data analysis layer, used for pollution range simulation, impact range prediction, and occupied area calculation;

[0009] Application layer, used to provide decision support and customized services;

[0010] Presentation layer, used for visualization and report generation;

[0011] The user interface layer, data processing layer, data analysis layer, application layer and presentation layer are sequentially data-connected.

[0012] Preferably, it also includes a data layer, which is used to collect, store and manage data, and includes an information database, an evaluation standard library, a policy library, a three-zone and three-line results library and a geographic information system database. The information database is used to input all pollution source information data in the user interface layer. The evaluation standard library stores the current relevant environmental quality standards and corresponding standard limits at home and abroad. The three-zone and three-line results library stores the current three-zone and three-line results data of various provinces and cities. The geographic information system database uses geographic information system technology to store and manage geographic spatial data.

[0013] Preferably, it also includes a data management layer, which is used to update the evaluation standard library, policy library, three-zone and three-line results library, and geographic information system database according to the timeliness of relevant policies and standards.

[0014] Preferably, the pollution source information data includes whether an investigation has been conducted on the remaining metal-related pollution sources, whether the investigation includes relevant environmental media, the types of pollution sources, the center coordinates of each type of pollution source, the inflection point information of the pollution source distribution range, the area occupied by the pollution source, the volume of the pollution source, the person responsible for the pollution source, whether the environmental media in the scope of the remaining metal-related pollution sources in the mining area are polluted and the pollution situation, specific metal-related indicators of each pollution source, information of the investigation unit, report review information, and pollution source remediation information.

[0015] Preferably, it also includes an interface layer and a support layer. The interface layer realizes the access, transmission, exchange, rendering and analysis of remote sensing elevation data, satellite maps, and three-zone and three-line data results through data interfaces, API services and data warehouses; the support layer includes servers, network systems and security systems. The network system provides a channel for data transmission to ensure that data input, storage, exchange and analysis can be efficiently and securely transmitted to the data center, realizing the connection between the various components within the system and transmission with external systems; the security system protects data and systems from unauthorized access and network attacks, including encryption, firewalls, security audits, vulnerability scanning and intrusion detection systems.

[0016] Preferably, it also includes a user layer, which provides login and identity authentication for users, including government departments and third-party units.

[0017] Preferably, the specific steps of the pollution range simulation are:

[0018] Step S11: Obtain pollutant detection data uploaded by the user, and perform data cleaning and conversion;

[0019] Step S12: interpolate and obtain a difference grid, and generate a contour distribution map and a pollution range distribution map based on the difference grid;

[0020] Step S13: Publish the contour line distribution map and the pollution range distribution map to the map service, load them, and then dynamically update them.

[0021] Preferably, the specific steps of predicting the impact range are:

[0022] Step S21: Obtain the pollution source range file uploaded by the user and generate a buffer zone around the pollution source;

[0023] Step S22: Obtain elevation data, extract the average elevation within the pollution source range, extract low-lying areas within the buffer zone based on the average elevation, vectorize the low-lying areas, and calculate their areas;

[0024] Step S23: Overlay the low-lying area onto the map for visualization.

[0025] Preferably, the specific steps of calculating the occupied area are:

[0026] Step S31: Obtain the pollution source range, pollution range or impact range vector file uploaded by the user;

[0027] Step S32: Obtain the three-zone and three-line data, and calculate the intersection and area of the pollution range, the ecological red line, and the basic farmland respectively;

[0028] Step S33: Visualize the calculation results.

[0029] Preferably, the data analysis layer is further used to provide suggestions for pollution spread remediation measures, and the specific steps of providing suggestions for pollution spread remediation measures are:

[0030] Step S41: determining the pollution range according to the pollution range simulation result, or determining the type of pollutants in the pollution range based on the pollution range in the survey result input by the user;

[0031] Step S42: Collect environmental data of the pollution area and surrounding human activity areas;

[0032] Step S43: determining multiple diffusion paths of pollutants to human activity areas based on the pollutant type and surrounding environment data;

[0033] Step S44: Using the sparrow search algorithm to optimize the diffusion path based on the fastest diffusion time, to obtain the fastest diffusion path;

[0034] Step S45: Integrate and extract information on remediation plans for similar pollution sources, relevant case information, and method standard library information to obtain emergency isolation or pollution source remediation measures to prevent pollution spread along the fastest diffusion path.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention provides an information management system for metal pollution sources left over in mining areas. The user interface layer can support users to input information data, and the pollution source information data input by users can be efficiently integrated, converted and analyzed through the data processing layer. The data analysis layer can perform simulation predictions based on the received pollution source information data, wherein the simulation predictions include pollution range simulation, impact range prediction and occupied area calculation. Finally, the application layer can interact with the user, and the simulation prediction results can be visualized through the display layer. The data results can be displayed intuitively and accurately. By integrating information data, an efficient, accurate and user-friendly visualization platform can be provided for the management department, so that the management department can fully understand the key information of metal pollution sources left over in mining areas and conduct risk control and management decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 This is a schematic diagram of an information management system for metal pollution sources left in mining areas according to the present invention;

[0039] Figure 2 This is a flow chart of the pollution range simulation of a mining area legacy metal pollution source information management system of the present invention;

[0040] Figure 3 A flowchart of the impact range prediction of a mining area legacy metal pollution source information management system according to the present invention;

[0041] Figure 4 This is a flow chart of the calculation of occupied area of a mining area legacy metal pollution source information management system of the present invention;

[0042] Figure 5The present invention provides a flow chart for providing suggestions for pollution diffusion remediation measures for an information management system for metal pollution sources left in mining areas. DETAILED DESCRIPTION

[0043] In order to better understand the technical content of the present invention, a specific embodiment is provided below, and the present invention is further described in conjunction with the accompanying drawings.

[0044] See also Figures 1 to 5 The present invention provides an information management system for metal pollution sources left in mining areas, comprising:

[0045] User interface layer, used to receive external input pollution source information data;

[0046] Data processing layer, used to integrate, convert and analyze pollution source information data;

[0047] Data analysis layer, used for pollution range simulation, impact range prediction, and occupied area calculation;

[0048] Application layer, used to provide decision support and customized services;

[0049] Presentation layer, used for visualization and report generation;

[0050] The user interface layer, data processing layer, data analysis layer, application layer and presentation layer are sequentially data-connected.

[0051] The user interface layer provides users with an interface for inputting information data of metal-related pollution sources left in mining areas (basic information, investigation and evaluation information, remediation information, effect evaluation information, etc.) and uploading files, so as to facilitate users to perform interactive operations. Among them, the pollution source information data is not limited to whether the remaining metal-related pollution sources have been investigated, whether the investigation includes relevant environmental media, the pollution source type, the center coordinates of each type of pollution source, the inflection point information of the pollution source distribution range, the area occupied by the pollution source, the volume of the pollution source, the person in charge of the pollution source, whether the environmental media in the scope of the remaining metal-related pollution sources in the mining area are polluted and the pollution situation, the specific metal-related indicators of each pollution source, the information of the investigation unit, the report review information and the pollution source remediation information. The files that can be uploaded include pollution source investigation report (supports PDF and other formats), relevant environmental medium investigation report (supports PDF and other formats), investigation and detection data (supports txt, csv, xls, xlsx and other formats), vector files of the distribution range of various types of pollution sources (supports shp, kmz, kml and other formats), pollution source remediation plan (supports PDF and other formats), effect evaluation report (supports PDF and other formats), etc.

[0052] The data processing layer provides a wealth of data statistics and analysis tools, supports data filtering, sorting and other operations, and can perform mathematical statistics on user-input or uploaded data (blank templates are provided, supporting formats such as csv, xls, xlsx), system simulation predictions, and other analytical data. It has the functions of data integration, conversion and analysis. The data processing layer is characterized by the ability to achieve visual display of data, such as bar charts, line charts, etc., and provide an information table of samples exceeding the standard (sample type, sample number, test item, measured value (test value), single pollution index, exceedance multiple, pollution index, pollutant sharing rate, Nemerow pollution index, pollution level) and visually display the exceeding points of different types (soil, groundwater, surface water, agricultural products, etc.) distributed on a satellite map. It supports users to download the information table of samples exceeding the standard (supporting formats such as csv, xls, xlsx, etc.).

[0053] The formulas involved above are as follows:

[0054] Single pollution index = measured pollutant value / pollutant quality standard excess multiple = measured pollutant value / pollutant quality standard - 1

[0055] Pollution index = measured pollutant value / pollutant quality standard pollutant sharing rate (%)

[0056] =(a pollution index of the same type of sample / the sum of all pollution indices of the same type of sample)

[0057] ×100%

[0058] Exceeding standard rate (%) = (total number of samples exceeding the standard / total number of monitored samples) × 100%

[0059] Nemerow pollution index (P N )={[(PI 均 2 )+(PI 最大 2 )] / 2} 1 / 2

[0060] Where PI 均 and PI 最大 They are the average single pollution index and the maximum single pollution index respectively.

[0061] The pollution level evaluation table is shown in Table 1 below.

[0062] Table 1 Nemerow pollution index evaluation table

[0063] grade Nemerow Pollution Index Pollution level I PN≤0.7 Clean (safe) II 0.7<PN≤1.0 Still clean (warning limit) III 1.0<PN≤2.0 Light pollution IV 2.0<PN≤3.0 Moderate pollution V PN>3.0 Heavy pollution

[0064] The data analysis layer can provide a variety of simulation and analysis functions, including pollution range simulation, impact range prediction and occupied area calculation. Regardless of the function, it can be visualized through the satellite map carried, and range vector files can also be generated for users to download.

[0065] The application layer is the middle link of the entire system. It can analyze, process and calculate the original data to help users better manage pollution sources, support decision-making, and achieve the goal of "protection first, source prevention", as well as support the government's environmental supervision and environmental policy formulation. At the same time, it provides users with a friendly interactive interface so that users can easily access and use the system. The application layer is only designed for the PC side, which provides a series of customized functions and services for third-party unit users and government department users.

[0066] The presentation layer is responsible for displaying the data and information of the application layer in a user-friendly manner. It handles the visualization and display logic of the data to ensure that users can intuitively understand the information.

[0067] Preferably, it also includes a data layer, which is used to collect, store and manage data, and includes an information database, an evaluation standard library, a policy library, a three-zone and three-line results library and a geographic information system database. The information database is used to input all pollution source information data in the user interface layer. The evaluation standard library stores the current relevant environmental quality standards and corresponding standard limits at home and abroad. The three-zone and three-line results library stores the current three-zone and three-line results data of various provinces and cities. The geographic information system database uses geographic information system technology to store and manage geographic spatial data.

[0068] The data layer is the information data center for metal pollution sources left over from mining areas, which is responsible for data collection, storage, and management, including information database, evaluation standard database, policy database, three zones and three lines results database, geographic information system (GIS) database, etc.; among them, the information database refers to all pollution source information data entered by users in the user interface layer, including pollution source investigation and assessment information data sub-database, environmental medium investigation and assessment data sub-database, pollution source prevention and control / treatment plan design information sub-database, pollution source remediation construction information sub-database, effect evaluation information sub-database, etc.; the evaluation standard database stores the current domestic and foreign relevant environmental quality standards and corresponding standard limits; the three zones and three lines results database stores the current three zones and three lines results data of various provinces and cities; the GIS database uses GIS technology to store and manage geographic spatial data, such as satellite maps, pollution source range boundary vector files uploaded by users, etc.

[0069] Preferably, it also includes a data management layer, which is used to update the evaluation standard library, policy library, three-zone and three-line results library, and geographic information system database according to the timeliness of relevant policies and standards.

[0070] The main purpose of the data management layer is to update and manage the data layer in real time, to ensure that the databases used in data analysis are up to date and to ensure the accuracy of data analysis results.

[0071] Preferably, it also includes an interface layer and a support layer. The interface layer realizes the access, transmission, exchange, rendering and analysis of remote sensing elevation data, satellite maps, and three-zone and three-line data results through data interfaces, API services and data warehouses; the support layer includes servers, network systems and security systems. The network system provides a channel for data transmission to ensure that data input, storage, exchange and analysis can be efficiently and securely transmitted to the data center, realizing the connection between the various components within the system and transmission with external systems; the security system protects data and systems from unauthorized access and network attacks, including encryption, firewalls, security audits, vulnerability scanning and intrusion detection systems.

[0072] The interface layer can interact with the outside world for data, including remote sensing elevation data, satellite maps, and data output, so that the data analysis layer can be used for simulation analysis. In addition, the servers, network systems, and security systems provided by the support layer can ensure the stable operation of the entire information management system.

[0073] Preferably, it also includes a user layer, which provides login and identity authentication for users, including government departments and third-party units.

[0074] The user layer provides user login and authentication functions to ensure that only authorized users can access the system. It supports user registration, login, and management. Users include government departments and third-party organizations. Government departments include the Department of Ecology and Environment, the Department of Natural Resources and Planning (or the Department of Natural Resources and the Department of Planning and Natural Resources), and the Department of Agriculture and Rural Affairs. Third-party organizations include mines / district enterprises, survey units, design units, remediation and construction units, and effect evaluation units. If the direct responsible party (pollution person or owner) of the historical metal pollution source is missing, the relevant government department may directly entrust one or more third-party units to investigate and evaluate the historical metal pollution source, formulate remediation plans, conduct remediation, and evaluate the effects. In this case, the government department shall organize the entrusted third-party units to be responsible for reporting the corresponding results; if the direct responsible party (pollution person or owner) of some of the historical metal pollution sources (such as mineral processing plants, tailings ponds, etc.) is not missing, in this case, the direct responsible party generally entrusts a third-party unit to investigate and evaluate, formulate remediation plans, conduct remediation, and evaluate the effects. In this case, the reporting subject of this system is the direct responsible party. With the consent of the relevant government regulatory departments, the direct responsible party may also entrust a third-party unit to conduct professional system reporting.

[0075] Only the local Ecology and Environment Department / Bureau has the authority to apply for an account, but accounts can be applied for on behalf of other government departments and third-party entities. Accounts are categorized as management accounts, reporting accounts, and visitor accounts. Management accounts are divided into general management accounts and sub-management accounts. Users registered for the local provincial Ecology and Environment Department (provincial level) are given a general management account and have the authority to apply for sub-management accounts for users of other municipal and county Ecology and Environment Bureaus (municipal and county level) in the province, register visitor accounts for other government departments or third-party entities, and register reporting accounts for third-party entities. Sub-management accounts also have the authority to register reporting accounts for third-party entities. The system automatically assigns an initial password to first-time account registrations. The initial password is an 8-digit random combination of lowercase English letters and Arabic numerals, and only the local Ecology and Environment Department / Bureau has the authority to initialize the password. Furthermore, general management accounts or sub-management accounts have the authority to set the reporting level (scope of reporting content) when applying for a reporting account. Once set, the reporting account can only view the information it has reported upon logging in. General management accounts or sub-management accounts have the authority to set the viewing scope when applying for a visitor account. Once set, the sub-management account can only view information within the specified viewing scope upon logging in and does not have the authority to download files. Other government departments can view or download pollution source information data through visitor accounts or management accounts.

[0076] The functional modules provided by the PC terminal for third-party unit users (reporting accounts) include information management, announcements and publicity, and policy information browsing for the metal pollution sources left in the mining area they are responsible for. Among them, information management is to fill in, modify, store, upload, and submit information data of pollution sources; announcements and publicity can provide third-party unit users (mainly investigation and evaluation units, scheme design units, construction units, etc.) with relevant information on the completion of the entrusted work of their units. After the announcements and publicity are reviewed by the corresponding entrusted government department users, they can be presented in the form of information on the "Policy Information Browsing" interface of the system; policy information browsing can provide access to relevant policy documents, standard systems, typical cases, training and exchange activity notifications and other relevant information on the entire process of investigation, prevention and control / remediation (including risk management) of metal pollution sources left in mining areas at the national, provincial, municipal and local levels.

[0077] The functional modules provided by the PC side for government users (management accounts) include a map of pollution sources, data statistical analysis, AI intelligent reports, policy information browsing, etc.

[0078] Among them, the pollution source map can provide a "one map" of the central geographical location, boundary range, whether relevant investigations have been conducted, etc. of the remaining metal-related pollution sources (including waste slag, waste ore, wastewater, mineral processing plants, tailings ponds, etc.) in different mining areas within its jurisdiction to show it to government users through the display layer. Satellite maps and three-zone and three-line results maps can be superimposed to facilitate government managers to quickly, intuitively and clearly grasp the overall distribution, geographical location, occupation of basic permanent farmland, ecological red lines, etc. of the remaining metal-related pollution sources (including waste slag, waste ore, wastewater, tailings ponds, etc.) in each mining area within the jurisdiction. The pollution source information of concern to government users can also be displayed in the form of a table by checking and superimposing (not limited to administrative areas, mining area names, whether there are remaining metal-related pollution sources, pollution source types, pollution source scales, metal-related indicators, and investigations that have been carried out).

[0079] Data statistical analysis is an important function for analyzing pollution source investigation data and environmental medium investigation data around pollution sources. It provides government users with a tool for a comprehensive understanding of the scale of pollution sources and the environmental conditions around pollution sources. The functions covered include: a. Data screening, sorting, grouping and aggregation, etc. It can perform mathematical statistics on input and uploaded data and analysis data of system simulation predictions, generate a comparative list of data information on metal pollution sources left over from a single or multiple mining areas and rank them accordingly, conduct benchmarking evaluation on relevant investigation data on metal pollution sources left over from a single or multiple mining areas and realize data visualization, such as bar charts, line charts, etc., provide an information table of samples exceeding the standard (sample type, sample number, detection results, multiples of exceeding the standard, etc.), and visualize the distribution of exceeding the standard points of different types (soil, groundwater, surface water, agricultural products, etc.) on satellite maps, and support downloading of information tables of samples exceeding the standard. (supports csv, xls, xlsx and other formats); b. Pollution range simulation, that is, providing various difference models to simulate and predict the data, so that government users can use the soil or groundwater test data input or uploaded by third-party users to perform difference and simulate the pollution range; c. Impact range prediction, that is, if the pollution source and its surrounding environmental media have not been investigated yet, satellite remote sensing elevation DEM data can also be accessed through a special data interface, and the algorithm can be used to mark areas within a specific range (such as within a 500-meter buffer zone of the pollution source) with elevations lower than the pollution source range. These areas are likely to be the possible impact range of pollution sources such as waste slag and waste ore; d. Occupied area calculation, through the three zones and three lines of the jurisdiction where the pollution source is located, the area of basic farmland, ecological red line areas, etc. occupied within a specific range (including within the pollution source range, within the pollution source contaminated soil range, and within the possible impact range of the pollution source, etc.) is calculated.

[0080] The AI intelligent report uses AI to analyze data, which includes basic information on metal pollution sources left over from each mining area, investigation and assessment information, remediation information and effect evaluation information (including whether the pollution source has been investigated, whether the investigation includes relevant environmental media, pollution source type, center coordinates of each type of pollution source, inflection point information of the distribution range of each type of pollution source, area of each type of pollution source, volume of pollution source, responsible person of pollution source, whether the environmental media within the scope of the pollution source are polluted and the pollution situation, specific metal-related indicators of each pollution source, investigation unit information, relevant investigation report review information, pollution source remediation information, effect evaluation information, etc.), environmental medium pollution range simulation information, pollution source impact range prediction information, occupied basic farmland area, occupied ecological red line area and other results of information data analysis and summary results. Government users can select key information of concern and have AI extract and then intelligently generate csv, xls, xlsx, PDF, PPT, kmz and other format files for display to users through the display layer for easy download. Policy information browsing provides access to relevant national, provincial, municipal and local policy documents, standard systems, typical cases, training and exchange activity notifications, and other information on the entire process of investigation, prevention and control (including risk management) of metal pollution sources left over from mining areas.

[0081] The display layer includes the geographical distribution display of pollution sources, data visualization, integrated results generation and interactive display;

[0082] Display of geographical distribution of pollution sources: that is, "a map of pollution sources", which uses GIS technology to show the distribution (central location or distribution range) of residual metal-related pollution sources in mining areas within the required jurisdiction, and can overlay satellite maps, three-zone and three-line results maps, etc., to help government managers more intuitively understand the distribution of pollution sources and the occupation of basic farmland and ecological red line areas. In addition, the pollution source information of users' concern can be displayed in the form of a table by checking and overlaying (including administrative districts, mining area names, whether there are residual metal-related pollution sources, pollution source types, pollution source scale and volume, metal-related indicators, and investigation status).

[0083] Data visualization: Provides an integrated visualization interface that includes various types of charts and graphs, such as bar charts, line charts, pie charts, tables, maps of points where different environmental media exceed the standard, interpolation simulation maps, and prediction maps, etc., to display the analysis and summary results of the results of the comparison of the scale of the same type of metal pollution sources left in each mining area, the detection content levels of different environmental media samples, pollution index, exceedance rate, pollution source information, etc., which can enable government users to quickly and in real time grasp the overall situation of the metal pollution sources left in the mining area.

[0084] Generation of integrated results: The data analysis results generated by the application layer are displayed to government users in formats such as csv, xls, xlsx, PDF, PPT, kmz, etc., which include basic information on metal pollution sources left over from each mining area, investigation and assessment information, remediation information, and effect evaluation information (including whether the pollution source has been investigated, whether the investigation includes relevant environmental media, the type of pollution source, the center coordinates of each type of pollution source, the inflection point information of the distribution range of each type of pollution source, the area of each type of pollution source, the volume of the pollution source, the person responsible for the pollution source, whether the environmental media within the scope of the pollution source are polluted and the pollution situation, specific metal-related indicators of each pollution source, information on the investigation unit, report review information, pollution source remediation information, etc.), analysis and summary results of the results information data such as environmental medium pollution range simulation information, pollution source impact range prediction information, occupied basic farmland area, occupied ecological red line area, etc.

[0085] Interactive display: Provides interactive functions such as data screening, data comparison, and data format export, which enhances the government users' ability to perceive and analyze information data on metal pollution sources left in mining areas, and facilitates environmental management decision-making of government departments.

[0086] Preferably, the specific steps of the pollution range simulation are:

[0087] Step S11: Obtain pollutant detection data uploaded by the user, and perform data cleaning and conversion;

[0088] Step S12: interpolate and obtain a difference grid, and generate a contour distribution map and a pollution range distribution map based on the difference grid;

[0089] Step S13: Publish the contour line distribution map and the pollution range distribution map to the map service, load them, and then dynamically update them.

[0090] When simulating the pollution range, the architecture is designed first:

[0091] Front-end: Web application (React / Vue+ArcGIS API for JavaScript)

[0092] Backend: ArcGIS Server + ArcGIS Pro (data analysis) + Python / ArcPy (automated scripting)

[0093] Data storage: ArcGIS Geodatabase or PostgreSQL / PostGIS

[0094] Map services: Publish dynamic map services through ArcGIS Server or ArcGIS Online;

[0095] The system then obtains pollutant detection data uploaded by users through the front-end. The fields include longitude, latitude, and pollutant concentration. It supports real-time data or batch upload. During data cleaning and conversion, it deletes missing values or outliers, converts the data into a format supported by ArcGIS, and unifies the coordinate system.

[0096] When performing interpolation, the specific steps are:

[0097] ① Using the Geostatistical Analyst toolkit, the algorithm options include Kriging interpolation and inverse distance weighted average interpolation, while Kriging interpolation includes ordinary Kriging and universal Kriging;

[0098] ②Semivariogram modeling;

[0099] ③Generate interpolation grid

[0100] Then, a contour line distribution map can be generated based on the difference grid. The specific steps are to input the Kriging interpolation grid, set the contour line interval, and output it as a vector line feature. When generating the pollution range distribution map, first perform threshold segmentation and then vectorize the polluted area. Finally, publish the map service and dynamically update the pollution range after front-end integration. The information management system can automatically generate high-precision pollutant contour line maps, superimpose them on satellite images or topographic maps, adjust the threshold through the slider or set the pollution threshold (i.e., the evaluation standard value) in the input box, and highlight the pollution exceeding the standard area in real time.

[0101] Preferably, the specific steps of predicting the impact range are:

[0102] Step S21: Obtain the pollution source range file uploaded by the user and generate a buffer zone around the pollution source;

[0103] Step S22: Obtain elevation data, extract the average elevation within the pollution source range, extract low-lying areas within the buffer zone based on the average elevation, vectorize the low-lying areas, and calculate their areas;

[0104] Step S23: Overlay the low-lying area onto the map for visualization.

[0105] The architecture of impact range prediction is:

[0106] Front-end: Web interface (React / Vue + map library such as Leaflet / Mapbox GLJS).

[0107] Backend: Python (Flask / Django) + geoprocessing libraries (GDAL, Rasterio, Geopandas).

[0108] Data storage: temporary file storage (such as AWS S3 / MinIO) + PostgreSQL / PostGIS (optional).

[0109] Elevation data source: ArcGIS Elevation Service;

[0110] After the user uploads the pollution source range file, a built-in algorithm can be used to generate a buffer based on the user-input distance, and then obtain elevation data. The solutions for obtaining elevation data include dynamically calling the elevation API and using local DEM data. When calculating low-lying areas, the average elevation within the pollution source range is extracted, and the low-lying areas in the buffer are extracted based on the average elevation. The low-lying areas are vectorized and the area is calculated. Finally, the low-lying areas are superimposed on the map for visualization. Finally, the low-lying areas can be highlighted on the satellite map through the information management system, and zooming and attribute viewing are supported.

[0111] Preferably, the specific steps of calculating the occupied area are:

[0112] Step S31: Obtain the pollution source range, pollution range or impact range vector file uploaded by the user;

[0113] Step S32: Obtain the three-zone and three-line data, and calculate the intersection and area of the pollution range, the ecological red line, and the basic farmland respectively;

[0114] Step S33: Visualize the calculation results.

[0115] Architecture design:

[0116] Front-end: Web application (React / Vue + map library such as Leaflet / Mapbox GLJS)

[0117] Backend: Python (Flask / Django) + geoprocessing libraries (Geopandas, GDAL, Shapely)

[0118] Data Source:

[0119] Three-area and three-line data: Access to land and space planning data from government or third-party platforms through APIs (such as WFS services or GeoJSON APIs)

[0120] Basemap services: Tiandi Map, Mapbox Satellite, ArcGIS Online

[0121] Storage: Temporary file storage (AWS S3 / MinIO) + database (PostGIS, optional).

[0122] After the user uploads a vector file of the pollution source range, pollution range or impact range, the API access example is used to read the pollution source range uploaded by the user, obtain the three-zone and three-line data, and perform spatial overlay analysis, including calculating the intersection and area of the pollution range with basic farmland and ecological red lines. Finally, the calculation results are visualized and the overlapping areas can be highlighted in the map.

[0123] Preferably, the data analysis layer is further used to provide suggestions for pollution spread remediation measures, and the specific steps of providing suggestions for pollution spread remediation measures are:

[0124] Step S41: determining the pollution range according to the pollution range simulation result, or determining the type of pollutants in the pollution range based on the pollution range in the survey result input by the user;

[0125] Step S42: Collect environmental data of the pollution area and surrounding human activity areas;

[0126] Step S43: determining multiple diffusion paths of pollutants to human activity areas based on the pollutant type and surrounding environment data;

[0127] Step S44: Using the sparrow search algorithm to optimize the diffusion path based on the fastest diffusion time, to obtain the fastest diffusion path;

[0128] Step S45: Integrate and extract information on remediation plans for similar pollution sources, relevant case information, and method standard library information to obtain emergency isolation or pollution source remediation measures to prevent pollution spread along the fastest diffusion path.

[0129] After determining the scope of pollution, it is also possible to propose pollution diffusion remediation measures. Different pollutants have different diffusion paths and methods. Therefore, it is necessary to determine the types of pollutants in the pollution scope. After determining the pollutant types, the pollution diffusion paths have different methods according to the different environmental data of the pollution scope. The environmental data include topography, hydrology and meteorology. Combined with the surrounding human activity areas, multiple pollutant diffusion paths can be simulated. Different diffusion paths take different times to reach the human activity area. The diffusion path with the shortest time is more urgent and needs to be processed immediately. The present invention uses a sparrow search algorithm to optimize the diffusion path, find the diffusion path with the shortest diffusion time, and output it as the fastest diffusion path. Finally, based on the fastest diffusion path, it can integrate and extract the remediation plan information of the same type of pollution sources, relevant case information, method standard library information, etc., and propose barrier measures for pollution diffusion on the fastest diffusion path or propose direct pollution source control and remediation measures for management decision-making by government management departments.

[0130] The information management system for metal pollution sources left in mining areas of the present invention has the following characteristics and beneficial effects:

[0131] 1. Information management of legacy metal pollution sources: The amount of information on legacy metal pollution sources is complex and huge. This system provides an intelligent information reporting system and sets up a multi-level reporting function for legacy metal pollution source information.

[0132] 2. Data security: The system can ensure the confidentiality, integrity, consistency and security of the reported information data, implement strict data access control, including user login verification and permission management, to prevent data from being illegally accessed or tampered with, and adopt a data backup mechanism to ensure that data will not be lost under unexpected circumstances.

[0133] 3. System stability and reliability: Use server clusters, load balancing and other technologies to ensure that the system can still operate stably under high concurrency and large data volumes; design a complete fault-tolerant mechanism, such as data backup and fault recovery, to ensure rapid recovery in the event of a system failure.

[0134] 4. Open data integration and compatibility: The system can integrate database technology, GIS technology, data processing technology, etc., has good compatibility, and can exchange and share data with other systems or software, providing more scientific and efficient management decisions for different government departments for different management needs.

[0135] 5. "One-picture" display technology: The display layer adopts the "one-picture display technology for pollution sources". Through a visual interface integrating different results data, the pollution sources are presented graphically in the satellite image map. The "one-picture display technology for pollution sources" links the detailed information of different pollution sources, making it easier for managers and users to intuitively understand the complex pollution source results data.

[0136] 6. Adaptive format generation: The system can filter the information data that users are interested in according to user needs and intelligently generate files in different formats such as PDF and PPT, and provide download functions through the display layer to support users' different usage scenarios and preferences.

[0137] 7. Real-time data update and dynamic display: The system has the ability to update the database in real time and dynamically display analysis results to ensure that the information obtained by users is the latest and most accurate.

[0138] 8. Customized views and reports: The system supports the specific needs of government users, customizing display views and generating documents.

[0139] 9. Interactive Data Exploration: Provides users with powerful interactive functions, linking detailed information of different pollution sources in the "Pollution Source Map". While allowing users to understand the information of all pollution sources globally, they can also gradually understand the detailed information of each pollution source by clicking from "large to small", allowing users to conduct in-depth exploration of the data according to their needs.

[0140] 10. Customization and scalability: The system can be customized and developed according to user needs to meet specific management requirements, and can be upgraded and expanded according to changes in user needs.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An information management system for metal pollution sources left in mining areas, characterized in that: include: User interface layer, used to receive external input pollution source information data; Data processing layer, used to integrate, convert and analyze pollution source information data; Data analysis layer, used for pollution range simulation, impact range prediction, and occupied area calculation; Application layer, used to provide decision support and customized services; Presentation layer, used for visualization and report generation; The user interface layer, data processing layer, data analysis layer, application layer and presentation layer are sequentially data-connected.

2. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: It also includes a data layer, which is used to collect, store and manage data. It includes an information database, an evaluation standard library, a policy library, a three-zone and three-line results library and a geographic information system database. The information database is used to input all pollution source information data in the user interface layer. The evaluation standard library stores the current relevant environmental quality standards and corresponding standard limits at home and abroad. The three-zone and three-line results library stores the current three-zone and three-line results data of various provinces and cities. The geographic information system database uses geographic information system technology to store and manage geographic spatial data.

3. The information management system for metal pollution sources left in mining areas according to claim 2 is characterized in that: It also includes a data management layer, which is used to update the evaluation standard library, policy library, three-zone and three-line results library, and geographic information system database according to the timeliness of relevant policies and standards.

4. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: The pollution source information data includes whether an investigation has been conducted on the remaining metal-related pollution sources, whether the investigation includes relevant environmental media, the types of pollution sources, the coordinates of the centers of each type of pollution source, the inflection point information of the pollution source distribution range, the area occupied by the pollution source, the volume of the pollution source, the person responsible for the pollution source, whether the environmental media in the scope of the remaining metal-related pollution sources in the mining area are polluted and the pollution situation, specific metal-related indicators of each pollution source, information on the investigation unit, report review information and pollution source remediation information.

5. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: It also includes an interface layer and a support layer. The interface layer realizes the access, transmission, exchange, rendering and analysis of remote sensing elevation data, satellite maps, and three-zone and three-line data results through data interfaces, API services and data warehouses; the support layer includes servers, network systems and security systems. The network system provides a channel for data transmission to ensure that data input, storage, exchange and analysis can be efficiently and securely transmitted to the data center, realizing the connection between the various components within the system and transmission with external systems; the security system protects data and systems from unauthorized access and network attacks, and includes encryption, firewalls, security audits, vulnerability scanning and intrusion detection systems.

6. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: It also includes a user layer, which provides login and identity authentication for users, including government departments and third-party units.

7. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: The specific steps of the pollution range simulation are: Step S11: Obtain pollutant detection data uploaded by the user, and perform data cleaning and conversion; Step S12: interpolate and obtain a difference grid, and generate a contour distribution map and a pollution range distribution map based on the difference grid; Step S13: Publish the contour line distribution map and the pollution range distribution map to the map service, load them, and then dynamically update them.

8. The information management system for metal pollution sources left in mining areas according to claim 1 is characterized in that: The specific steps of the impact range prediction are: Step S21: Obtain the pollution source range file uploaded by the user and generate a buffer zone around the pollution source; Step S22: Obtain elevation data, extract the average elevation within the pollution source range, extract low-lying areas within the buffer zone based on the average elevation, vectorize the low-lying areas, and calculate their areas; Step S23: Overlay the low-lying area onto the map for visualization.

9. The information management system for metal pollution sources left in mining areas according to claim 1, characterized in that: The specific steps for calculating the occupied area are: Step S31: Obtain the pollution source range, pollution range or impact range vector file uploaded by the user; Step S32: Obtain the three-zone and three-line data, and calculate the intersection and area of the pollution range, the ecological red line, and the basic farmland respectively; Step S33: Visualize the calculation results.

10. The information management system for metal pollution sources left in mining areas according to claim 1, characterized in that: The data analysis layer is also used to provide suggestions for pollution spread remediation measures. The specific steps of providing suggestions for pollution spread remediation measures are: Step S41: determining the pollution range according to the pollution range simulation result, or determining the type of pollutants in the pollution range based on the pollution range in the survey result input by the user; Step S42: Collect environmental data of the pollution area and surrounding human activity areas; Step S43: determining multiple diffusion paths of pollutants to human activity areas based on the pollutant type and surrounding environment data; Step S44: Using the sparrow search algorithm to optimize the diffusion path based on the fastest diffusion time, to obtain the fastest diffusion path; Step S45: Integrate and extract information on remediation plans for similar pollution sources, relevant case information, and method standard library information to obtain emergency isolation or pollution source remediation measures to prevent pollution spread along the fastest diffusion path.

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