Method for evaluating treatment effect of heavy metal pollution in mining area based on multi-data fusion analysis

Abstract

This invention discloses a method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis, relating to the field of mining area control technology. The method includes: acquiring mining combinations and wind direction monitoring points within the mining area; obtaining mining concentration parameters using a mining risk control analysis method based on an online heavy metal analyzer; obtaining mining concentration areas based on the working time of each mining combination; and evaluating the effectiveness of the control based on the mining concentration areas before and after control. This invention addresses the problem that existing methods for evaluating the effectiveness of heavy metal pollution control in mining areas have a broad evaluation scope, making it difficult to efficiently and accurately assess the effectiveness of heavy metal pollution control, and failing to identify areas for improvement based on the evaluation results, thus hindering the effective control of heavy metal pollution.

Description

Technical Field

[0001] This invention relates to the field of mining area remediation technology, specifically to a method for evaluating the effectiveness of heavy metal pollution remediation in mining areas based on multi-data fusion analysis. Background Technology

[0002] Heavy metal pollution control in mining areas refers to the process of preventing and controlling heavy metal pollution caused by mining and smelting activities through systematic measures. The pollution sources mainly come from waste gas, wastewater, and waste residue generated in mining, smelting, and processing. Heavy metals such as lead, mercury, and cadmium are transmitted through air, water, and soil, eventually accumulating in the soil to form pollution. The effectiveness evaluation of heavy metal pollution control in mining areas refers to the process of systematically evaluating the environmental effects, ecological restoration level, and risk control level of the control project using scientific methods.

[0003] Existing methods for evaluating the effectiveness of heavy metal pollution control in mining areas typically focus on quantitative environmental assessments. These methods involve acquiring remote sensing imagery, analyzing data to obtain land cover categories, and then using models to assess environmental safety. While these methods provide data support for mining area remediation assessments, their scope is too broad. Specifically, they cannot efficiently and accurately evaluate the effectiveness of heavy metal pollution control efforts, nor can they identify areas for improvement based on the assessment results. This leads to the problem of ineffective heavy metal pollution control. For example, patent application CN106934233A discloses a method for rare earth mining areas based on a PSR model. The proposed method and system for quantitative assessment of environmental pressure involves acquiring original remote sensing images of the target assessment area, analyzing the land cover categories using a remote sensing information extraction unit, and assessing the environmental safety status of rare earth mining areas. However, improvements to other methods for assessing the effectiveness of heavy metal pollution control in mining areas typically focus on leaching remediation. These methods suffer from overly broad assessment scopes and cannot efficiently and accurately evaluate the effectiveness of heavy metal pollution control. Furthermore, they fail to identify areas for improvement based on the assessment results, leading to ineffective control of heavy metal pollution. Therefore, it is necessary to improve existing methods for assessing the effectiveness of heavy metal pollution control in mining areas. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art by proposing a method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis. This method addresses the problem that existing methods for evaluating the effectiveness of heavy metal pollution control in mining areas have a broad evaluation scope, making it difficult to efficiently and accurately assess the effectiveness of heavy metal pollution control and to identify areas for improvement based on the evaluation results, thus hindering the effective control of heavy metal pollution.

[0005] To achieve the above objectives, this application provides a method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis, including the following steps:

[0006] Based on the area where the mining area is located, the area where mining activities are located within the mining area is obtained and denoted as the mining area. Based on the mining activities within the mining area, mining combinations are obtained. Based on the terrain distribution within the mining area, multiple wind direction detection points within the mining area are obtained. Based on wind speed sensors and wind direction sensors, all wind direction detection points are divided into inward detection points and outward detection points.

[0007] The mining concentration parameters for each mining combination are obtained based on the detection results of the online heavy metal analyzer using the mining risk control analysis method.

[0008] Based on the total working time of each mining combination when performing mining work, obtain multiple mining concentration parameters corresponding to each mining combination under each working time, and obtain the mining concentration area corresponding to each mining combination based on the multiple mining concentration parameters corresponding to each mining combination.

[0009] The mining concentration areas of each mining combination before and after heavy metal pollution remediation were obtained, and the remediation effectiveness was evaluated.

[0010] Furthermore, obtaining mining combinations based on mining activities within the mining area includes:

[0011] On the map, identify the area where mining activities take place within the mining area and label it as the mining area; denote all mining locations within the mining area as mining node CJ1 to mining node CJ. m ;

[0012] Obtain all mining operations that have been carried out within the mining area and label them as Mining Operation CX1 to Mining Operation CX. n For any mining action: the combination of all mining nodes that have mining actions in the mining action is called the mining combination of the mining action; obtain the mining combinations of all mining actions.

[0013] Furthermore, based on the terrain distribution within the mining area, multiple wind direction detection points are obtained within the mining area. Based on wind speed and wind direction sensors, all wind direction detection points are divided into inward and outward detection points, including:

[0014] Based on the map corresponding to the mining area, obtain multiple entrances and exits within the mining area, and denot them as mining entrance and mining exit respectively. The plan view that marks all mining entrances and mining exits within the mining area is denoted as the mining plan view.

[0015] For any mining entrance or mining exit location α in the mining area: place a wind speed sensor and a wind direction sensor at location α, and record the wind speed and wind direction obtained by the wind speed sensor and the wind direction sensor at location α as the location-determined wind speed and the location-determined wind direction, respectively.

[0016] Randomly select t mining operations. During the t mining operations, every T, obtain the data corresponding to the location-based wind speed and location-based wind direction, and record them as mining wind speed data and mining wind direction data, respectively. Here, t is a positive integer less than or equal to n and greater than or equal to 1. Record the average value of all location-based wind speeds recorded in the mining wind speed data as the average wind speed at position α.

[0017] Furthermore, based on the terrain distribution within the mining area, multiple wind direction detection points are obtained within the mining area. These points are then categorized into inward and outward detection points based on wind speed and wind direction sensors. This also includes:

[0018] Obtain the average wind speed at all mining inlets or mining outlets, and denote the average of all average wind speeds as R; denote mining inlets or mining outlets with an average wind speed greater than or equal to R as wind direction detection points, and denote the center of the mining area as the mining center;

[0019] For any wind direction detection point: the line connecting the wind direction detection point and the mining center is recorded as the center line; all wind directions obtained from the wind direction detection point in the mining wind direction data are obtained, and the rays corresponding to all wind directions at the wind direction detection point are recorded as wind direction rays; the angle less than or equal to 180° formed by each wind direction ray and the center line at the wind direction detection point is recorded as the wind direction judgment angle.

[0020] When the number of acute angles in the wind direction judgment angle is greater than the number of obtuse angles, the wind direction detection point is recorded as an inward detection point; when the number of acute angles in the wind direction judgment angle is less than or equal to the number of obtuse angles, the wind direction detection point is recorded as an outward detection point.

[0021] Furthermore, mining risk control analysis methods include:

[0022] Heavy metal ions present in the air within the mining area are denoted as mining area metal ions; mining operations CX1 to CX are executed sequentially within the mining area. n For any mining operation: when the mining operation begins, place an online heavy metal analyzer at each wind direction detection point and obtain the concentration of metal ions in each mining area in real time;

[0023] The distance between each wind direction detection point and the mining center is obtained sequentially, and the average of all distances is recorded as the average detection distance;

[0024] For any given mining area metal ion β: at the end of the mining operation, obtain the concentration detection data of metal ion β in the mining area from the heavy metal online analyzer at all wind direction detection points; for any given wind direction detection point: the average concentration of metal ion β in the mining area from the start of the mining operation to the end of the mining operation from the concentration detection data of metal ion β in the mining area from the heavy metal online analyzer at the wind direction detection point is recorded as the mining average concentration of metal ion β in the mining area at the wind direction detection point;

[0025] Obtain the average concentration of metal ions in all mining areas at each wind direction monitoring point.

[0026] Furthermore, mining risk control analysis methods also include:

[0027] The one-way detection method is used to process all inward detection points and all outward detection points respectively. The one-way detection method includes: for any metal ion β in the mining area: the average value of the mining average concentration of metal ion β at all inward detection points is recorded as the inward average value; for any inward detection point: the value of the mining average concentration of metal ion β at the inward detection point divided by the inward average value is recorded as the inward detection ratio, and the product of the inward detection ratio and the average detection distance is recorded as the extension parameter.

[0028] Obtain the contour corresponding to the edge of the mining area within the mining plan and record it as the mining edge contour. Draw the tangent line of the mining edge contour from the inward detection point and record it as the inward edge tangent line. When the inward detection ratio is less than 1, draw a line segment with a length of extension parameter and perpendicular to the inward edge tangent line from the inward detection point into the mining area, and record the endpoints of the line segment other than the inward detection point as inward feature points.

[0029] Furthermore, mining risk control analysis methods also include:

[0030] When the inward detection ratio is greater than 1, draw a line segment with a length of extension parameter from the inward detection point outward from the mining area and perpendicular to the inward edge tangent, and record the endpoints of the line segment other than the inward detection point as inward feature points;

[0031] When the inward detection ratio is equal to 1, the inward detection point is recorded as an inward feature point;

[0032] The contour obtained by fitting the inward feature points corresponding to all inward detection points is denoted as the inward feature contour of metal ion β in the mining area.

[0033] Furthermore, mining risk control analysis methods also include:

[0034] Based on the analysis of all inward detection points, all outward detection points are analyzed, and the resulting contour is recorded as the outward characteristic contour of metal ion β in the mining area.

[0035] The inward and outward feature profiles of all metal ions in the mining area obtained by the one-way analysis method are denoted as the mining concentration parameters of the mining combination corresponding to the mining action.

[0036] Furthermore, based on the total working time of each mining combination during mining operations, multiple mining concentration parameters corresponding to each mining combination under each working time are obtained, and the mining concentration region corresponding to each mining combination is obtained based on the multiple mining concentration parameters corresponding to each mining combination, including:

[0037] For any mining combination, obtain all the different working durations of the mining combination when performing mining work, and obtain the corresponding mining concentration parameters for each working duration based on the mining risk control analysis method;

[0038] For any metal ion β in a mining area: the regions formed by all inward feature contours and all outward feature contours corresponding to the metal ion β in the mining area under all working durations are respectively denoted as inward feature regions and outward feature regions; the inward feature regions and outward feature regions of all metal ions in the mining area are denoted as the mining concentration regions of the mining combination.

[0039] Furthermore, the mining concentration areas of each mining combination before and after heavy metal pollution remediation were obtained, and the remediation effectiveness was evaluated, including:

[0040] Obtain the mining restricted areas for each mining combination before and after heavy metal pollution remediation;

[0041] For any mining combination γ containing any metal ion β in any mining area: when the area of ​​the inward characteristic region of metal ion β in the mining restricted area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restricted area of ​​the mining combination before heavy metal pollution control, the control effect of metal ion β in the mining combination γ is recorded as effective control; otherwise, the control effect of metal ion β in the mining combination γ is recorded as ineffective control.

[0042] When the area of ​​the outward characteristic region of metal ions β in the mining restricted area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the outward characteristic region of metal ions β in the mining restricted area of ​​the mining combination before heavy metal pollution control, the control effect of metal ions β in the mining combination γ is recorded as effective control at the exit; otherwise, the control effect of metal ions β in the mining combination γ is recorded as ineffective control at the exit.

[0043] Obtain the treatment effectiveness of metal ions in all mining areas in each mining combination. Metal ions in mining areas where there is ineffective treatment at the import or export levels in all treatment effectiveness are recorded as ineffective treatment ions. Metal ions in mining areas where there is effective treatment at both the import and export levels in all treatment effectiveness are recorded as fully treated ions.

[0044] Metal ions in mining areas that are not classified as ineffective or fully treated ions are classified as sustainable treatment ions.

[0045] The beneficial effects of this invention are as follows: First, this application obtains the area where mining activities are located within the mining area, denoted as the mining area, and obtains mining combinations based on the mining activities within the mining area. Based on the terrain distribution within the mining area, multiple wind direction detection points are obtained within the mining area. Based on wind speed and wind direction sensors, all wind direction detection points are divided into inward detection points and outward detection points. Then, based on the detection results of the mining risk control analysis method using an online heavy metal analyzer, the mining concentration parameters of each mining combination are obtained. The advantage of this is that by obtaining the mining concentration parameters of the mining combination based on the mining combination and multiple wind direction detection points, parameters related to the concentration of heavy metal ions in the air at the inlet and outlet where the wind speed change rate is large during each mining activity can be obtained. This allows for the evaluation of the effectiveness of heavy metal pollution control based on the mining concentration parameters corresponding to each mining combination in subsequent analysis, and the identification of mining combinations that need improvement based on the evaluation results, thus providing a direction for subsequent heavy metal pollution control and improving the efficiency of pollution control.

[0046] This application also obtains multiple mining concentration parameters for each mining combination under each working time, based on all working hours of each mining combination during mining operations, and obtains the mining concentration area for each mining combination based on the multiple mining concentration parameters. Finally, it obtains the mining concentration area for each mining combination before and after heavy metal pollution control, and evaluates the control effectiveness. The advantage of this is that by obtaining the mining concentration area for each mining combination based on the working hours of the mining combination, it is possible to obtain the area of ​​change of mining concentration parameters under the influence of different working hours for each mining operation. Thus, in subsequent evaluations, the mining concentration areas before and after heavy metal pollution control can be used to efficiently and accurately evaluate the control effectiveness. Attached Figure Description

[0047] Figure 1 This is a flowchart illustrating the steps of the method of the present invention;

[0048] Figure 2 This is a schematic diagram of the wind direction ray of the present invention;

[0049] Figure 3This is a schematic diagram of the mining edge contour of the present invention;

[0050] Figure 4 This is a schematic diagram illustrating the acquisition of inward feature points according to the present invention;

[0051] Figure 5 This is a schematic diagram illustrating the acquisition of the inward feature contour of the present invention;

[0052] Figure 6 This is a schematic diagram of the electronic device of the present invention. Detailed Implementation

[0053] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] Example 1, please refer to Figure 1 As shown, this application provides a method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis, including the following steps:

[0055] Step S1: Based on the area where the mining area is located, obtain the area where the mining activities are located within the mining area, and denot it as the mining area. Based on the mining activities within the mining area, obtain the mining combination. Based on the terrain distribution within the mining area, obtain multiple wind direction detection points within the mining area. Based on the wind speed sensor and the wind direction sensor, divide all wind direction detection points into inward detection points and outward detection points.

[0056] The mining concentration parameters for each mining combination are obtained based on the detection results of the online heavy metal analyzer using the mining risk control analysis method.

[0057] Step S1 includes: Step S101, obtaining the area where mining activities are located in the region of the mining area on the map, and recording it as the mining area; recording all mining locations within the mining area as mining node CJ1 to mining node CJ. m ;

[0058] In practical implementation, for example, in an actual mining area, there may be 10 mining nodes capable of mining. In a single mining operation, mining is carried out on 4 of these 10 mining nodes. These 4 mining nodes can be recorded as a mining combination and analyzed subsequently. By obtaining the mining combinations composed of mining nodes, the effectiveness of heavy metal pollution control can be evaluated in the subsequent analysis using the mining concentration parameters corresponding to each mining combination. Based on the evaluation results, mining combinations that need improvement can be identified, providing a direction for subsequent heavy metal pollution control.

[0059] Step S102: Obtain all mining operations that have been carried out within the mining area, and record them as mining operation CX1 to mining operation CX. n For any mining action: the combination of all mining nodes that have mining actions in the mining action is called the mining combination of the mining action; obtain the mining combinations of all mining actions.

[0060] Step S1 further includes: Step S103, based on the map corresponding to the mining area, obtaining multiple entrances and exits within the mining area, and respectively recording them as mining entrances and mining exits, wherein the plan view marking all mining entrances and mining exits within the mining area is recorded as the mining plan view;

[0061] Step S104: For any mining entrance or mining exit location α in the mining area: place a wind speed sensor and a wind direction sensor at location α, and record the wind speed and wind direction obtained by the wind speed sensor and the wind direction sensor at location α as the location-determined wind speed and the location-determined wind direction, respectively.

[0062] In the specific implementation process, if the total number of mining inlets and mining outlets is small during the actual analysis, all mining inlets and mining outlets can be recorded as wind direction detection points, and the subsequent classification of wind direction detection points can be directly performed to ensure sufficient data for subsequent data analysis. The purpose of this scheme to obtain wind direction detection points is to obtain the locations where the wind speed changes rapidly at the edge of the mining area, so as to monitor the concentration data of heavy metal ions in the air. If there are other locations where the wind speed changes rapidly but are not mining inlets or mining outlets during actual terrain exploration, the location can also be recorded as a mining inlet or mining outlet based on the wind direction at that location. By default, the location with the wind direction towards the inside of the mining area is recorded as a mining inlet, and the location with the wind direction towards the outside of the mining area is recorded as a mining outlet.

[0063] Step S105: Randomly obtain t mining operations. During the t mining operations, obtain the location-determined wind speed and location-determined wind direction data every T, and record them as mining wind speed data and mining wind direction data respectively, where t is a positive integer less than or equal to n and greater than or equal to 1; record the average value of all location-determined wind speeds recorded in the mining wind speed data as the average wind speed at position α.

[0064] In the specific implementation process, the purpose of obtaining t mining actions is to screen all mining inlets and mining outlets. Therefore, the value of t can be determined according to the actual number of mining actions. If the actual number of mining actions is large, that is, if there are many combinations of mining nodes, the value of t can be appropriately increased to ensure a more comprehensive screening of mining inlets and mining outlets. In this scheme, the value of t is set to 5, and the value of T is set to 1 minute. The value of T can be set according to the actual data processing capability. If the actual data processing capability is strong, the value of T can be reduced to obtain more location-based wind speed and location-based wind direction, and to classify mining inlets and mining outlets more accurately.

[0065] Step S1 further includes: Step S106, obtaining the average wind speed of all mining inlets or mining outlets, and recording the average of all average wind speeds as R; recording mining inlets or mining outlets with average wind speeds greater than or equal to R as wind direction detection points, and recording the center of the mining area as the mining center;

[0066] In the specific implementation process, the center of the smallest circumcircle of the mining plan can be recorded as the mining center, or the mining center of the mining area can be used as the mining center according to the actual analysis.

[0067] Step S107: For any wind direction detection point: the line connecting the wind direction detection point and the mining center is recorded as the center line; all wind directions obtained from the wind direction detection point in the mining wind direction data are obtained, and the rays corresponding to all wind directions at the wind direction detection point are recorded as wind direction rays, and the angle less than or equal to 180° formed by each wind direction ray and the center line at the wind direction detection point is recorded as the wind direction judgment angle.

[0068] In the specific implementation process, for example, during a data analysis, the wind direction detection points obtained are as follows: Figure 2 As shown in the diagram, point FJ represents the mining center, point CZ is the centerline, line segment ZX is the centerline, and line ZZ is a line perpendicular to the centerline. The dashed lines are wind direction rays corresponding to the wind direction obtained from the wind direction detection points. Through analysis, it can be seen that among all the wind direction judgment angles, the number of obtuse angles is greater than the number of acute angles. Therefore, point FJ is an outward detection point. The purpose of classifying the wind direction detection points in this embodiment is to uniformly analyze the wind blowing out of the mining area and the wind blowing into the mining area in subsequent analyses, thereby obtaining the characteristics of the change in the concentration of metal ions in the air with rapidly changing wind speeds and improving the accuracy of the assessment of the effectiveness of heavy metal remediation.

[0069] When the number of acute angles in the wind direction judgment angle is greater than the number of obtuse angles, the wind direction detection point is recorded as an inward detection point; when the number of acute angles in the wind direction judgment angle is less than or equal to the number of obtuse angles, the wind direction detection point is recorded as an outward detection point.

[0070] Step S108, the mining risk control analysis method includes: Step S1081, recording the heavy metal ions present in the air within the mining area as mining area metal ions; sequentially executing mining actions CX1 to mining action CX within the mining area. n For any mining operation: when the mining operation begins, place an online heavy metal analyzer at each wind direction detection point and obtain the concentration of metal ions in each mining area in real time;

[0071] Step S1082: Sequentially obtain the distance between each wind direction detection point and the mining center, and record the average of all distances as the average detection distance;

[0072] Step S1083: For any metal ion β in a mining area: at the end of the mining operation, acquire the concentration detection data of metal ion β in the mining area from the heavy metal online analyzer at all wind direction detection points; for any wind direction detection point: record the average concentration of metal ion β in the mining area from the start of the mining operation to the end of the mining operation from the concentration detection data of metal ion β in the mining area obtained from the heavy metal online analyzer at the wind direction detection point as the mining average concentration of metal ion β in the mining area at the wind direction detection point;

[0073] In the specific implementation process, when obtaining the mining average concentration of metal ion β in the mining area, all concentrations of metal ion β in the mining area obtained by the online metal analyzer can be sampled at the same time interval, and the average value of all the sampled concentrations can be used as the mining average concentration of metal ion β in the mining area.

[0074] Step S1084: Obtain the average mining concentration of metal ions in all mining areas at each wind direction detection point.

[0075] The mining risk control analysis method also includes: step S1085, using a one-way detection method to process all inward detection points and all outward detection points respectively; the one-way detection method includes: for any metal ion β in a mining area: the average value of the mining average concentration of metal ion β at all inward detection points is recorded as the inward average value; for any inward detection point: the value of dividing the mining average concentration of metal ion β at the inward detection point by the inward average value is recorded as the inward detection ratio, and the product of the inward detection ratio and the average detection distance is recorded as the extension parameter;

[0076] In the specific implementation process, heavy metal ions in the air within the mining area may include lead, mercury, cadmium, and arsenic. For example, in a data analysis, the average mining concentration of lead (β) at an inward detection point is 0.03 mg / m³, and the inward average is 0.04 mg / m³. Therefore, the inward detection ratio corresponding to the inward detection point is 0.75. Since the average detection distance obtained through data acquisition is 100m, the extension parameter can be recorded as 75m. In subsequent analysis, a line segment with a length of 75m perpendicular to the inward edge tangent can be drawn from the inward detection point into the mining area, and the corresponding inward feature points can be obtained.

[0077] Step S1086: Obtain the contour corresponding to the edge of the mining area in the mining plan and record it as the mining edge contour. Draw the tangent line of the mining edge contour from the inward detection point and record it as the inward edge tangent line. When the inward detection ratio is less than 1, draw a line segment with a length of extension parameter and perpendicular to the inward edge tangent line from the inward detection point into the mining area, and record the endpoints of the line segment other than the inward detection point as inward feature points.

[0078] The mining risk control analysis method also includes: step S1087, when the inward detection ratio is greater than 1, draw a line segment with a length of extension parameter and perpendicular to the inward edge tangent from the inward detection point to the outside of the mining area, and record the endpoints of the line segment other than the inward detection point as inward feature points.

[0079] When the inward detection ratio is equal to 1, the inward detection point is recorded as an inward feature point;

[0080] In the specific implementation process, for example, during a data analysis, the obtained mining edge contour is as follows: Figure 3 The contour CB is shown in the figure. Points NJ1 to NJ4 in contour CB are all inward detection points, and the dashed lines at points NJ1 to NJ4 are the inward edge tangents corresponding to points NJ1 to NJ4. Data analysis reveals that the line segments corresponding to points NJ1 to NJ4 with lengths equal to the extension parameter and perpendicular to the inward edge tangents are as follows: Figure 4 From line segments NC1 to NC4, analysis reveals that the inward feature points are points NT1 to NT4, and the inward feature contour is... Figure 5 The dashed outline NL in the middle;

[0081] The contour obtained by fitting the inward feature points corresponding to all inward detection points is denoted as the inward feature contour of metal ion β in the mining area.

[0082] The mining risk control analysis method also includes: step S1089, based on the analysis method of all inward detection points, analyzing all outward detection points, and recording the obtained contour as the outward characteristic contour of metal ions β in the mining area;

[0083] The inward and outward feature profiles of all metal ions in the mining area obtained by the one-way analysis method are recorded as the mining concentration parameters of the mining combination corresponding to the mining action.

[0084] In the specific implementation process, by obtaining the inward and outward feature contours of each mining combination, and obtaining the mining concentration area corresponding to the mining combination in the subsequent step S2, it is possible to obtain the change area of ​​mining concentration parameters under the influence of different working durations for each mining operation. Thus, in the subsequent evaluation, the mining concentration area before and after heavy metal pollution treatment can be used to efficiently and accurately evaluate the treatment effect.

[0085] Step S2: Based on the total working time of each mining combination when performing mining work, obtain multiple mining concentration parameters corresponding to each mining combination under each working time, and obtain the mining concentration area corresponding to each mining combination based on the multiple mining concentration parameters corresponding to each mining combination.

[0086] Step S2 includes: Step S201, for any mining combination, obtain all the different working times of the mining combination when performing mining work, and obtain the corresponding mining concentration parameters for each working time based on the mining risk control analysis method;

[0087] Step S202: For any metal ion β in a mining area: the regions formed by all inward feature contours and all outward feature contours corresponding to the metal ion β in the mining area under all working durations are respectively recorded as inward feature regions and outward feature regions; the inward feature regions and outward feature regions of all metal ions in the mining area are recorded as the mining concentration regions of the mining combination.

[0088] Step S3: Obtain the mining concentration areas of each mining combination before and after heavy metal pollution control, and evaluate the control effectiveness.

[0089] Step S3 includes: Step S301, obtaining the mining restriction area of ​​each mining combination before and after heavy metal pollution control;

[0090] Step S302: For any mining combination γ containing any metal ion β in a mining area: when the area of ​​the inward characteristic region of metal ion β in the mining restricted area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restricted area of ​​the mining combination before heavy metal pollution control, the control effect of metal ion β in the mining combination γ is recorded as effective control; otherwise, the control effect of metal ion β in the mining combination γ is recorded as ineffective control.

[0091] In the specific implementation process, if the area of ​​the inward characteristic region of metal ions β in the mining restricted area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ions β in the mining restricted area of ​​the mining combination before heavy metal pollution control, it indicates that when the mining action corresponding to the mining combination is carried out after heavy metal pollution control, the overall concentration of metal ions β in the mining area detected from the wind direction towards the mining area is less than the overall concentration of metal ions β in the mining area before heavy metal pollution control. Therefore, the heavy metal pollution control has been effective in the air in the wind direction towards the mining area, that is, the concentration of heavy metal ions has been reduced. Therefore, it can be recorded as effective control of the imported metal ions.

[0092] Conversely, if the overall concentration of metal ions β in the mining area is greater than or equal to the overall concentration of metal ions β in the mining area before the heavy metal pollution control when the mining operation corresponding to the mining combination is carried out after the heavy metal pollution control, then the heavy metal pollution control is not effective in the air in the direction of the wind towards the mining area, that is, the reduction of the concentration of heavy metal ions has not been achieved, and therefore it can be recorded as ineffective control.

[0093] Step S303: When the area of ​​the outward characteristic region of metal ions β in the mining restricted area of ​​the mining combination after heavy metal pollution treatment is smaller than the area of ​​the outward characteristic region of metal ions β in the mining restricted area of ​​the mining combination before heavy metal pollution treatment, the treatment effect of metal ions β in the mining combination γ is recorded as effective treatment at the exit; otherwise, the treatment effect of metal ions β in the mining combination γ is recorded as ineffective treatment at the exit.

[0094] Step S304: Obtain the treatment effect of metal ions in all mining areas in each mining combination. Metal ions in mining areas with both ineffective treatment at the import and export levels are recorded as ineffective treatment ions. Metal ions in mining areas with both effective treatment at the import and export levels are recorded as fully treated ions.

[0095] In the specific implementation process, by labeling ineffective ions, completely treated ions, and sustainably treated ions, we can provide a direction for subsequent heavy metal pollution control, that is, to target the treatment of multiple heavy metal ions with high concentrations.

[0096] Step S305: Metal ions in the mining area that were not recorded as ineffective or fully treated ions are recorded as sustainable treatment ions.

[0097] Example 2, please refer to Figure 6 As shown, Figure 6The example illustrates the structure of an electronic device, which may include a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, which the processor can call. When the computer-readable instructions are executed by the processor, the steps in the evaluation method for the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis are performed to achieve the following functions: First, the mining area is obtained based on the region where the mining area is located, and mining combinations are obtained based on the mining activities within the mining area; based on the terrain distribution within the mining area, multiple wind direction detection points are obtained, and all wind direction detection points are divided into inward detection points and outward detection points based on wind speed and wind direction sensors; then, the mining concentration parameters of each mining combination are obtained based on the detection results of the online heavy metal analyzer using the mining risk control analysis method; furthermore, based on all working hours of each mining combination during mining operations, multiple mining concentration parameters corresponding to each mining combination under each working hour are obtained, and the mining concentration area corresponding to each mining combination is obtained based on the multiple mining concentration parameters corresponding to each mining combination; finally, the mining concentration areas of each mining combination before and after heavy metal pollution control are obtained, and the control effectiveness is evaluated.

[0098] Furthermore, when the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0099] Example 3: This application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by the computer, the computer can execute the method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis provided by the above methods. The method includes: first, obtaining the area where mining activities are located within the mining area, denoted as the mining area, and obtaining mining combinations based on mining activities within the mining area; obtaining multiple wind direction detection points within the mining area based on the terrain distribution within the mining area, and dividing all wind direction detection points into inward detection points and outward detection points based on wind speed sensors and wind direction sensors; then obtaining the mining concentration parameters of each mining combination based on the detection results of the mining risk control analysis method using an online heavy metal analyzer; furthermore, obtaining multiple mining concentration parameters corresponding to each mining combination under each working time based on all working hours of each mining combination when performing mining work, and obtaining the mining concentration area corresponding to each mining combination based on the multiple mining concentration parameters corresponding to each mining combination; finally, obtaining the mining concentration areas of each mining combination before and after heavy metal pollution control, and evaluating the control effectiveness.

[0100] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it runs the steps of the above-mentioned method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis, to achieve the following functions: First, based on the region where the mining area is located, the area where mining activities are located within the mining area is obtained, denoted as the mining area, and mining combinations are obtained based on the mining activities within the mining area; based on the terrain distribution within the mining area, multiple wind direction detection points within the mining area are obtained, and all wind direction detection points are divided into inward detection points and outward detection points based on wind speed sensors and wind direction sensors; then, based on the detection results of the heavy metal online analyzer using the mining risk control analysis method, the mining concentration parameters of each mining combination are obtained; furthermore, based on all working hours of each mining combination when performing mining work, multiple mining concentration parameters corresponding to each mining combination under each working hour are obtained, and the mining concentration area corresponding to each mining combination is obtained based on the multiple mining concentration parameters corresponding to each mining combination; finally, the mining concentration areas of each mining combination before and after heavy metal pollution control are obtained respectively, and the control effectiveness is evaluated.

[0101] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0102] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis, characterized in that, Includes the following steps: Based on the area where the mining area is located, the area where mining activities are located within the mining area is obtained and denoted as the mining area. Based on the mining activities within the mining area, mining combinations are obtained. Based on the terrain distribution within the mining area, multiple wind direction detection points within the mining area are obtained. Based on wind speed sensors and wind direction sensors, all wind direction detection points are divided into inward detection points and outward detection points. The mining concentration parameters for each mining combination are obtained based on the detection results of the online heavy metal analyzer using the mining risk control analysis method. Based on the total working time of each mining combination when performing mining work, obtain multiple mining concentration parameters corresponding to each mining combination under each working time, and obtain the mining concentration area corresponding to each mining combination based on the multiple mining concentration parameters corresponding to each mining combination. The mining concentration areas of each mining combination before and after heavy metal pollution control were obtained separately, and the control effectiveness was evaluated. This included: obtaining the mining restriction areas of each mining combination before and after heavy metal pollution control; for any mining combination γ containing any metal ion β in a mining area: when the area of ​​the inward characteristic region of metal ion β in the mining restriction area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restriction area of ​​the mining combination before heavy metal pollution control, the control effectiveness of metal ion β in the mining combination γ is recorded as effective control; otherwise, the control effectiveness of metal ion β in the mining combination γ is recorded as ineffective control; when the mining restriction area of ​​the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restriction area of ​​the mining combination before heavy metal pollution control, the control effectiveness of metal ion β in the mining combination γ is recorded as ineffective control; when the area of ​​the inward characteristic region of metal ion β in ..., the control effectiveness of metal ion β in the mining combination γ is recorded as ineffective control; when the area of ​​the inward characteristic region of metal ion β in the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restriction area of ​​the mining combination, the control effectiveness of metal ion β in the mining combination γ is recorded as ineffective control; when the area of ​​the inward characteristic region of metal ion β in the mining combination after heavy metal pollution control is smaller than the area of ​​the inward characteristic region of metal ion β in the mining restriction area of ​​the mining If the area of ​​the outward characteristic region of metal ions β in the mining area is smaller than the area of ​​the outward characteristic region of metal ions β in the mining restriction area of ​​the mining combination before heavy metal pollution control, the control effect of metal ions β in the mining combination γ is recorded as effective control at the export; otherwise, the control effect of metal ions β in the mining combination γ is recorded as ineffective control at the export. The control effect of all metal ions in each mining combination is obtained. Metal ions in the mining area with ineffective control at the import or export are recorded as ineffective control ions. Metal ions in the mining area with effective control at both the import and export are recorded as fully controlled ions. Metal ions in the mining area that are not recorded as ineffective control ions or fully controlled ions are recorded as sustainable control ions.

2. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 1, characterized in that, Mining combinations obtained based on mining activities within a mining area include: On the map, identify the area where mining activities take place within the mining area and label it as the mining area; denote all mining locations within the mining area as mining node CJ1 to mining node CJ. m ; Obtain all mining operations that have been carried out within the mining area and label them as Mining Operation CX1 to Mining Operation CX. n For any mining action: the combination of all mining nodes that have mining actions in the mining action is called the mining combination of the mining action; obtain the mining combinations of all mining actions.

3. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 2, characterized in that, Based on the terrain distribution within the mining area, multiple wind direction detection points are acquired. These points are then categorized into inward and outward detection points based on wind speed and wind direction sensors. Based on the map corresponding to the mining area, obtain multiple entrances and exits within the mining area, and denot them as mining entrance and mining exit respectively. The plan view that marks all mining entrances and mining exits within the mining area is denoted as the mining plan view. For any mining entrance or mining exit location α in the mining area: place a wind speed sensor and a wind direction sensor at location α, and record the wind speed and wind direction obtained by the wind speed sensor and the wind direction sensor at location α as the location-determined wind speed and the location-determined wind direction, respectively. Randomly select t mining operations. During the t mining operations, every T, obtain the data corresponding to the location-based wind speed and location-based wind direction, and record them as mining wind speed data and mining wind direction data, respectively. Here, t is a positive integer less than or equal to n and greater than or equal to 1. Record the average value of all location-based wind speeds recorded in the mining wind speed data as the average wind speed at position α.

4. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 3, characterized in that, Based on the terrain distribution within the mining area, multiple wind direction detection points are obtained within the mining area. These points are then categorized into inward and outward detection points based on wind speed and wind direction sensors. (Further details are needed to complete the translation.) Obtain the average wind speed at all mining inlets or mining outlets, and denote the average of all average wind speeds as R; denote mining inlets or mining outlets with an average wind speed greater than or equal to R as wind direction detection points, and denote the center of the mining area as the mining center; For any wind direction detection point: the line connecting the wind direction detection point and the mining center is recorded as the center line; all wind directions obtained from the wind direction detection point in the mining wind direction data are obtained, and the rays corresponding to all wind directions at the wind direction detection point are recorded as wind direction rays; the angle less than or equal to 180° formed by each wind direction ray and the center line at the wind direction detection point is recorded as the wind direction judgment angle. When the number of acute angles in the wind direction judgment angle is greater than the number of obtuse angles, the wind direction detection point is recorded as an inward detection point; when the number of acute angles in the wind direction judgment angle is less than or equal to the number of obtuse angles, the wind direction detection point is recorded as an outward detection point.

5. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 4, characterized in that, Mining risk control analysis methods include: Heavy metal ions present in the air within the mining area are denoted as mining area metal ions; mining operations CX1 to CX are executed sequentially within the mining area. n For any mining operation being carried out: when the mining operation begins, place an online heavy metal analyzer at each wind direction detection point and obtain the concentration of metal ions in each mining area in real time; The distance between each wind direction detection point and the mining center is obtained sequentially, and the average of all distances is recorded as the average detection distance; For any given mining area metal ion β: at the end of the mining operation, obtain the concentration detection data of metal ion β in the mining area from the heavy metal online analyzer at all wind direction detection points; for any given wind direction detection point: the average concentration of metal ion β in the mining area from the start of the mining operation to the end of the mining operation from the concentration detection data of metal ion β in the mining area from the heavy metal online analyzer at the wind direction detection point is recorded as the mining average concentration of metal ion β in the mining area at the wind direction detection point; Obtain the average concentration of metal ions in all mining areas at each wind direction monitoring point.

6. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 5, characterized in that, Mining risk control analysis methods also include: The one-way detection method is used to process all inward detection points and all outward detection points respectively. The one-way detection method includes: for any metal ion β in the mining area: the average value of the mining average concentration of metal ion β at all inward detection points is recorded as the inward average value; for any inward detection point: the value of the mining average concentration of metal ion β at the inward detection point divided by the inward average value is recorded as the inward detection ratio, and the product of the inward detection ratio and the average detection distance is recorded as the extension parameter. Obtain the contour corresponding to the edge of the mining area within the mining plan and record it as the mining edge contour. Draw the tangent line of the mining edge contour from the inward detection point and record it as the inward edge tangent line. When the inward detection ratio is less than 1, draw a line segment with a length of extension parameter and perpendicular to the inward edge tangent line from the inward detection point into the mining area, and record the endpoints of the line segment other than the inward detection point as inward feature points.

7. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 6, characterized in that, Mining risk control analysis methods also include: When the inward detection ratio is greater than 1, draw a line segment with a length of extension parameter from the inward detection point outward from the mining area and perpendicular to the inward edge tangent, and record the endpoints of the line segment other than the inward detection point as inward feature points; When the inward detection ratio is equal to 1, the inward detection point is recorded as an inward feature point; The contour obtained by fitting the inward feature points corresponding to all inward detection points is denoted as the inward feature contour of metal ion β in the mining area.

8. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 7, characterized in that, Mining risk control analysis methods also include: Based on the analysis of all inward detection points, all outward detection points are analyzed, and the resulting contour is recorded as the outward characteristic contour of metal ion β in the mining area. The inward and outward feature profiles of all metal ions in the mining area obtained by the one-way analysis method are denoted as the mining concentration parameters of the mining combination corresponding to the mining action.

9. The method for evaluating the effectiveness of heavy metal pollution control in mining areas based on multi-data fusion analysis according to claim 8, characterized in that, Based on the total working time of each mining combination during mining operations, multiple mining concentration parameters corresponding to each mining combination under each working time are obtained, and the mining concentration region corresponding to each mining combination is obtained based on the multiple mining concentration parameters corresponding to each mining combination, including: For any mining combination, obtain all the different working durations of the mining combination when performing mining work, and obtain the corresponding mining concentration parameters for each working duration based on the mining risk control analysis method; For any metal ion β in a mining area: the regions formed by all inward feature contours and all outward feature contours corresponding to the metal ion β in the mining area under all working durations are respectively denoted as inward feature regions and outward feature regions; the inward feature regions and outward feature regions of all metal ions in the mining area are denoted as the mining concentration regions of the mining combination.

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