Intelligent coal mine sewage discharge detection and early warning system and method

Abstract

The invention discloses an intelligent coal mine sewage discharge detection and early warning system and method, and relates to the technical field of coal mine sewage discharge monitoring, and the system comprises a region division unit which defines a detection region; the water body model building unit is used for building a water body flow model according to the flow of the water body and acquiring detection data in the detection area; the data analysis unit is used for determining a polluted area in the area according to the distribution of the detection data; the early warning unit is used for determining the diffusion trend of the pollution source and the pollutants of the pollution source from the pollution area to the outside, visualizing the diffusion trend, and giving out early warning when the area of the pollution area is higher than an alarm value; the marking unit is used for determining a discharge point causing the pollution and marking the position of the discharge point; a pollution evaluation value and an evaluation value index are formed by analyzing water quality data and cooperating with an electronic map; a monitored water body is divided into a plurality of monitoring areas, a pollution area is confirmed, the pollution area is subjected to visualization processing in cooperation with an electronic map, and the early warning function is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine wastewater discharge monitoring, and in particular to an intelligent coal mine wastewater discharge detection and early warning system. Background Art

[0002] The coal industry is my country's basic energy industry and occupies an important position in the national economy. However, a large amount of high-concentration, difficult-to-degrade wastewater is generated during coal mining and washing. Coal mine wastewater mainly includes mine water, coal preparation wastewater and coal washing wastewater, which contain a large amount of coal powder, sediment, heavy metals and other pollutants. If it is not properly treated and discharged directly, it will cause serious pollution to the surrounding water environment and threaten the health of humans and animals. Traditional sewage supervision mainly relies on manual regular sampling and laboratory testing, which has problems such as low monitoring frequency, delayed response, and limited coverage, making it difficult to achieve real-time monitoring and early warning of sewage discharge.

[0003] With the development of emerging technologies such as the Internet of Things and big data, smart environmental supervision has become an important means of ecological environmental protection. Through the combination of online monitoring instruments and intelligent algorithms, dynamic analysis and traceability analysis of corporate pollution sources can be achieved, greatly improving supervision efficiency. However, most existing smart environmental platforms are aimed at surface water bodies, and lack special detection and early warning solutions for unique pollution such as coal mine sewage. The hydrogeological conditions in coal mining areas are complex, and the sources and components of sewage vary. The migration and diffusion of pollutants are unclear, which brings challenges to smart supervision.

[0004] Therefore, a smart coal mine wastewater discharge detection and early warning system and method are proposed. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a smart coal mine wastewater discharge detection and early warning system and method, which defines the detection area by setting a region division unit, and a water body model establishment unit, which establishes a water body flow model according to the flow of the water body, and obtains detection data in the detection area; a data analysis unit, which determines the pollution area in the area according to the distribution of the detection data; an early warning unit, which determines the pollution source and the diffusion trend of the pollutants of the pollution source to the outside from the pollution area, visualizes the diffusion trend, and issues an early warning when the area of ​​the pollution area is about to exceed the warning value; a marking unit, which determines the emission point that causes the pollution and marks the location of the emission point; by analyzing the water quality data and cooperating with the electronic map, a pollution assessment value and a pollution index are formed, the monitored water body is divided into several monitoring areas, the pollution area is confirmed, and the pollution area is visualized in conjunction with the electronic map to realize the early warning function, thereby solving the problems in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] A smart coal mine wastewater discharge detection and early warning method includes the following: step 1, delineating a detection area, and determining potential pollution sources such as coal mining areas, coal preparation plants, and coal mine water treatment facility discharge outlets in the area; establishing an electronic map based on the detection area, and marking the discharge points on the electronic map; the step 1 includes: step 101, determining the water area to be detected and establishing an electronic map based on the water quality monitoring task, and marking all the water areas to be detected on the electronic map; step 102, obtaining the locations of coal mining areas, coal preparation plants, and waste rock dumps in the area based on public channels, marking the locations of the discharge points on the electronic map, and determining the distance from the water area;

[0008] Step 2: Monitor the water body in the area, establish a water flow model based on the flow of the water body, and set up a mobile detection device with communication function in the detection area to obtain detection data;

[0009] Step 3: Analyze the detection data, divide the detection area into M areas, and determine the contaminated area within the area based on the distribution of the detection data, where M is an integer greater than zero;

[0010] Step 4: Combining the flow model with the hydrogeological characteristics of the coal mining area, determine the pollution source and the diffusion trend of pollutants from the pollution source to the outside from the pollution area, visualize the diffusion trend, and issue an early warning when the area of ​​the pollution area exceeds the warning value;

[0011] Step 5: Sort the pollution levels in each polluted area, determine the data of the main pollution sub-factors, determine the correlation with the emission points in the adjacent areas, determine the emission points that cause pollution, and mark the locations of the emission points.

[0012] Furthermore, the step 2 includes the following contents: step 201, based on the hydrological monitoring points located in the area to be detected, the cross-sectional water level, flow rate, and flow velocity of the water body are detected, the detection results are respectively obtained, and a first data detection set is established; step 202, based on the first data detection set obtained from the hydrological monitoring points in the water area, a water flow model is established using a modeling tool to simulate the water flow in the area to be detected.

[0013] Furthermore, after step 202, the method also includes: step 203, evenly setting floating water quality detection devices in the area to be detected, periodically sampling the water body, and analyzing the water body; step 204, acquiring detection data along the time axis, and establishing a second detection data set; step 205, determining an evaluation strategy, acquiring detection data from the detection data set, evaluating the water quality of the water body according to the evaluation strategy, and forming a pollution assessment value.

[0014] Furthermore, the assessment strategy is as follows: obtain the chemical oxygen demand COD, ammonia nitrogen AN, total suspended solids SS, heavy metal content ZJ, hexavalent chromium Cr and sulfide S in the water body, perform normalization, and form a pollution assessment value WP after integration. The confirmation logic of the pollution assessment value WP is as follows:

[0015]

[0016] Among them, R1, R2, R3, R4, R5 and R6 are weight parameters, among which R1≤R2≤R3≤R4 and 1≤R1+R2+R3+R4+R5+R6≤4.57. Users can adjust them according to actual conditions. C and D are constant correction coefficients, which can be corrected according to actual pollution identification conditions.

[0017] Furthermore, the step three includes: step 301, marking the detection point where each mobile detection device is located with a pollution assessment value, and determining the location information of the pollution assessment value, and marking it on the electronic map; step 302, establishing a classifier based on a classification algorithm, obtaining the assessment value, and combining the location information to divide the water body in the area into N monitoring areas; step 303, determining the edge of each monitoring area based on the distribution of the pollution assessment value, and marking each monitoring area on the electronic map, where N is an integer greater than zero.

[0018] Further, after step 303, the method further includes: step 304, obtaining the pollution assessment value provided by the detection point in each monitoring area, combining the area of ​​the detection area, forming the assessment value index of each area, and comparing the assessment values ​​in each area; wherein, the method for obtaining the assessment value index is as follows: obtaining the area M of each monitoring area and the sum HP of the pollution assessment value, performing normalization processing, and forming the assessment value index PG after integration, and the confirmation logic of the assessment value index PG is as follows:

[0019]

[0020] Wherein, β is a constant coefficient, which can be adjusted by the user according to the actual situation, and E is a constant correction coefficient, which can be corrected according to the actual pollution identification situation; Step 305, compare the evaluation value index with the threshold value to judge the water quality in the monitoring area. If it exceeds the threshold value, it is judged that the water quality in the detection area is in a polluted state, mark the monitoring area on the electronic map, and output the judgment result to determine it as a polluted area.

[0021] Further, the step 4 includes: step 401, in the next monitoring cycle, according to the movable detection device in the polluted area, obtain monitoring data, determine the evaluation value index, and establish a monitoring data set through the evaluation value index; step 402, in combination with the coordinates of generating the monitoring data, mark the evaluation value index in the polluted area, and connect the evaluation value indexes with similar or same pollution levels together to establish equal pollution lines; obtain multiple groups of evaluation value indexes, and obtain multiple groups of equal pollution lines at different time points along the time series, and determine them as the first equal pollution line, the second equal pollution line, ..., the Tth equal pollution line according to the order in time;

[0022] Step 403, obtain the distribution pattern of the pollution lines, determine the diffusion direction and diffusion trend of the pollutants, and visualize the diffusion trend; based on the first pollution line, determine the location or area of ​​the pollution source according to the vertical line method, combine the flow model and the hydrogeological characteristics of the coal mining area with the pollution lines, simulate the diffusion of pollutants, confirm the location or area of ​​the pollution source, and narrow the regional scope of the pollutants; communicate the location or area data to the outside.

[0023] Furthermore, after step 403, there is also: step 404, after confirming the location or existence area of ​​the pollution source, using a movable detection device, moving to the polluted area to perform water quality detection; among the water quality evaluation value indexes obtained based on the water quality detection, whether there is at least one evaluation value index that exceeds the standard, if so, whether the evaluation value index radiates outward in an orderly manner to the outer edge, if so, it can be determined that the point is the source of the pollutant; if not, according to the radiation direction of the pollution degree of the evaluation value index, continue to determine the pollutant emission source until the accurate location of the pollution source is determined;

[0024] Step 405: determine the location information of the pollution emission source, mark it on the electronic map, and communicate it to the outside; Step 406: determine the diffusion direction and diffusion trend of the pollutants, and obtain the area information of the polluted area; fit the function, characterize and predict the change of the pollution area based on the pollution area fitting function, and issue a warning message if the pollution area in the next cycle exceeds the warning value.

[0025] Furthermore, the step five includes: step 501, obtaining the locations of all polluted areas and corresponding detection data, evaluating the water quality of the polluted areas, and forming a number of pollution assessment values; step 502, sorting the pollution assessment values, forming a sorting result and outputting it; step 503, determining the pollution sub-factor data in each polluted area, comparing the pollution sub-factor data with the corresponding threshold value, and determining the part that exceeds the standard; step 504, obtaining the pollution sub-factor data that exceeds the standard, and determining the emissions of the emission points in its neighboring areas, judging the similarity between the two, if the similarity exceeds the threshold value, determining the emission point as a pollution emission source; step 505, marking the emission point of the determined emission source on the electronic map, and issuing an alarm.

[0026] A smart coal mine sewage discharge detection and early warning system includes: a regional division unit, which demarcates a detection area, determines sewage discharge points in the area, establishes an electronic map, and marks the discharge points on the electronic map;

[0027] The water body model building unit builds a water body flow model according to the flow of the water body, and sets a movable detection device with communication function in the detection area to obtain detection data;

[0028] A data analysis unit analyzes the detection data, divides the detection area into M areas, and determines the contaminated area within the area according to the distribution of the detection data, where M is an integer greater than zero;

[0029] An early warning unit determines the pollution source and the diffusion trend of pollutants from the pollution source to the outside from the pollution area, visualizes the diffusion trend, and issues an early warning when the area of ​​the pollution area exceeds the warning value;

[0030] The marking unit ranks the pollution levels in each pollution area, and after determining the pollution sub-factor data, determines the emission point that causes the pollution based on the correlation with the emission points in the adjacent areas, and marks the location of the emission point.

[0031] The present invention provides a smart coal mine wastewater discharge detection and early warning system and method, which has the following beneficial effects:

[0032] By setting up a floating water quality detection device, the water body in the area can be monitored and the water quality data can be output. By analyzing the water quality data and coordinating with the set electronic map, a pollution assessment value and an assessment value index can be formed. The monitored water body can be divided into several monitoring areas, and the polluted areas therein can be confirmed. With the help of the electronic map, the polluted areas can be visualized.

[0033] Users can directly determine the polluted areas in the monitored water through electronic maps, ultimately achieving the effect of remote monitoring and sharing, saving users time for field investigations.

[0034] By setting up several hydrological detection points, the hydrological information of the water body is obtained, and finally a water flow model is established to simulate the water flow state. By establishing isopollution lines, the pollution sources in the polluted area can be determined, and the trend of pollution diffusion can be judged based on the isopollution lines. The diffusion of pollution sources can be simulated based on the water flow model. Combined with electronic maps, the diffusion trend of pollution sources can be visualized. Users can more easily grasp pollution changes on the basis of remote monitoring, and can also realize the early warning function.

[0035] By conducting similarity analysis and determining the correlation between emissions from nearby discharge points and pollution sources, it is possible to identify discharge points that cause water pollution, reduce field investigation time, and improve efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a schematic diagram of a process flow of a smart coal mine wastewater discharge detection and early warning method of the present invention;

[0037] Figure 2 It is a structural schematic diagram of a smart coal mine wastewater discharge detection and early warning system of the present invention.

[0038] In the figure: 10, area division unit; 20, water body model establishment unit; 30, data analysis unit; 40, early warning unit; 50, marking unit. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example 1

[0041] See also Figure 1 This embodiment provides a smart coal mine wastewater discharge detection and early warning method, including the following steps:

[0042] Step 1: Define the detection area and identify potential pollution sources such as coal mining areas, coal preparation plants, and coal mine water treatment facility discharge outlets in the area; establish an electronic map based on the detection area and mark the discharge points on the electronic map; Step 1 includes the following:

[0043] Step 101, according to the water quality monitoring task, determine the water area to be tested and create an electronic map, and mark all the water areas to be tested on the electronic map;

[0044] Step 102, based on public channels, obtain the locations of coal mining areas, coal preparation plants, waste rock dumps, etc. in the region, mark the locations of emission points on the electronic map, and determine the distance from the water area.

[0045] Among them, the pollution emission points generally refer to chemical plants, processing plants or farms, which are the emission sources of major pollutants. It is also these emission points that discharge their own products into the water, causing water pollution, such as eutrophication or acidification.

[0046] When in use, combined with steps 101 and 102, the detection area and the discharge points that may cause water pollution are determined, and an electronic map is established, which can be visualized for easy display.

[0047] Step 2: Monitor the water bodies in the area, establish a water flow model based on the flow of the water bodies, and set up several mobile detection devices with communication functions in the detection area to obtain detection data, and deploy online monitoring devices at the discharge outlet of the sewage treatment facility;

[0048] The step 2 includes the following contents:

[0049] Step 201, based on the hydrological monitoring points located in the area to be detected, the cross-sectional water level, flow rate, flow velocity and other factors of the water body are detected, the detection results are obtained respectively, and a first data detection set is established; when in use, based on the above factors, the user can judge the state of the water body.

[0050] Step 202: Based on the first data detection set obtained from a plurality of hydrological monitoring points in the water area, a water flow model is established using a modeling tool to simulate the water flow in the area to be detected;

[0051] Step 203, a number of floating water quality detection devices are evenly arranged in the area to be detected, and the water body is sampled and analyzed periodically; wherein, considering that the speed of water body change will not be too rapid, the sampling period is set to 12 hours or 24 hours, and in specific practice, it can be set by the user according to demand.

[0052] Among them, when sampling water bodies, the following factors are specifically involved: ammonia nitrogen content, heavy metal content and total phosphorus content, chemical oxygen demand (all per cubic meter of water);

[0053] Step 204: Acquire several sets of detection data along the time axis to establish a second detection data set;

[0054] Step 205, determine the evaluation strategy, obtain several groups of detection data from the detection data set, evaluate the water quality of the water body according to the evaluation strategy, and form a pollution evaluation value; wherein the evaluation strategy is as follows:

[0055] The chemical oxygen demand COD, ammonia nitrogen AN, total suspended solids SS, heavy metal content ZJ, hexavalent chromium Cr and sulfide S are obtained, normalized, and then integrated to form the pollution assessment value WP. The confirmation logic of the pollution assessment value WP is as follows:

[0056]

[0057] Among them, R1, R2, R3, R4, R5 and R6 are changeable weight parameters, among which R1≤R2≤R3≤R4 and 1≤R1+R2+R3+R4+R5+R6≤4.57, and users can adjust them according to actual conditions. C and D are constant correction coefficients, which can be corrected according to actual pollution identification conditions.

[0058] When in use, multiple movable detection devices are set up to obtain several groups of test results, and a first data detection set is established, and a corresponding evaluation value is formed, so as to evaluate the water quality pollution situation in the area where the detection point is located. At the same time, four factors such as ammonia nitrogen content, heavy metal content, total phosphorus content, and chemical oxygen demand are taken into consideration, which also makes the evaluation value cover a wider range. In fact, there are many factors that can lead to serious water pollution, but the more important ones are the above four. That is why the above four were selected when formulating the evaluation strategy.

[0059] Step 3: Analyze the detection data, divide the detection area into M areas, and determine the contaminated area within the area based on the distribution of the detection data, where M is an integer greater than zero;

[0060] The step three includes the following contents:

[0061] Step 301: Mark the detection point where each mobile detection device is located with the pollution assessment value, determine the location information where the pollution assessment value is generated, and mark it on the electronic map;

[0062] Step 302: Establish a classifier based on the classification algorithm, obtain several groups of evaluation values, and divide the water bodies in the area into N monitoring areas in combination with the location information, where N is an integer greater than zero;

[0063] Step 303: Determine the edge of each monitoring area based on the distribution of pollution assessment values, and mark each monitoring area on the electronic map.

[0064] When in use, by establishing a classifier, the water body can be distinguished and divided into several areas according to the water quality. Compared with artificial distinction, the correlation between the monitored area and the water quality is higher, and the user can make further processing based on the divided areas.

[0065] Step 304: Obtain the pollution assessment values ​​provided by all the detection points in each monitoring area, and after combining the area of ​​the corresponding detection area, form an assessment value index for each area for comparison of the assessment values ​​in each area;

[0066] The method for obtaining the evaluation value index is as follows:

[0067] The area M and the sum of pollution assessment values ​​HP of each monitoring area are obtained, normalized, and then integrated to form an assessment value index PG. The confirmation logic of the assessment value index PG is as follows:

[0068]

[0069] Among them, β is a constant coefficient, which can be adjusted by the user according to the actual situation, and E is a constant correction coefficient, which can be corrected according to the actual pollution identification situation.

[0070] Step 305, compare the evaluation value index with the threshold value to determine whether the water quality in the monitored area is poor. If it exceeds the threshold value, it can be determined that the water quality in the detection area is in a polluted state and needs to be paid special attention. At this time, the monitored area can be marked on the electronic map, and the judgment result can be output to determine it as a polluted area.

[0071] When in use, based on the pollution assessment value in step 2, the water body in the area is divided into several monitoring areas, and the area and pollution assessment value in the area are combined to form an assessment value index, which is used to determine whether each monitoring area is a polluted area.

[0072] When in use, by confirming the polluted area, the user can combine the floating water quality detection device and the established electronic map to quickly determine the polluted area of ​​the monitored water body when there is a lack of personnel near the water area, thereby reducing the steps of user assessment one by one. In addition, by marking the polluted area on the electronic map, the polluted area can be visualized. By making the electronic map public, data sharing and remote monitoring can be achieved.

[0073] Step 4: Combine the flow model with the hydrogeological characteristics of the coal mining area to determine the pollution source and the diffusion trend of pollutants from the pollution source to the outside from the pollution area, visualize the diffusion trend, and issue an early warning when the area of ​​the pollution area is about to exceed the warning value;

[0074] The step 4 includes the following contents:

[0075] Step 401: In the next monitoring cycle, a plurality of groups of monitoring data are obtained according to a plurality of movable detection devices in the contaminated area, an evaluation value index is determined through the monitoring data, and a monitoring data set is established through the evaluation value index;

[0076] Step 402: Combine the coordinates of the generated monitoring data, mark the evaluation value index in the polluted area, and connect the evaluation value indexes with similar or same pollution levels to establish an equal pollution line;

[0077] Multiple groups of evaluation value indexes are obtained, and multiple groups of equal pollution lines are obtained at different time points along the time series, and are respectively determined as the first-class pollution line, the second-class pollution line, ..., the Tth-class pollution line according to their order in time.

[0078] After or as pollutants are discharged, they will quickly spread or diffuse outward along with the flow of water. If there is no continuous discharge at the pollution source, the pollutants will quickly diffuse and spread in the water, and eventually further dilute until the concentration is below the threshold. In this case, it may be difficult to determine the source of the pollution emission;

[0079] Therefore, the following processing is also required:

[0080] Step 403, obtaining the distribution patterns of several groups of iso-pollution lines, determining the diffusion direction and diffusion trend of pollutants, and visualizing the diffusion trend; thereby presenting the results more intuitively, and allowing users to roughly judge the trend of pollution diffusion based on the density of iso-pollution lines. If the iso-pollution lines are dense, the pollution diffusion is less; if the distribution is sparse, the diffusion is more serious. The integrated water flow model can simulate and verify the diffusion of pollutants;

[0081] Based on the first-class pollution line, the approximate location or area of ​​the pollution source is determined according to the vertical line method. Combined with the flow model and the hydrogeological characteristics of the coal mining area and the equal pollution line, the diffusion of pollutants is simulated, the approximate location or area of ​​the pollution source is confirmed, and the possible area of ​​the pollutant is narrowed; the location or area data is communicated to the outside.

[0082] When in use, in combination with the contents in steps 401 to 403, the pollution area is determined based on the evaluation value index, in which there are more comprehensive factors, which is equivalent to a single factor with better comprehensiveness. At the same time, based on the set equal pollution lines, the approximate location of the pollution source can be determined. Furthermore, the water flow model is used to simulate the diffusion of the pollution source, thereby further narrowing the scope and facilitating the determination of the location of the pollution source. It should be noted that the flow model is a commonly used model in this field and can be understood as common knowledge, so no further introduction will be made here.

[0083] After receiving the communication or alarm, the user can obtain the location of the pollution source, which allows the user to quickly and specifically deal with the pollution source. In addition, the location of the pollution source is determined by simulation. Compared with manual inspections, although the location may not be completely accurate, there are fewer intermediate paths and the efficiency is high.

[0084] However, if the location of the pollution source is to be confirmed more accurately, manpower is still needed to conduct manual inspections, so after step 403, there are still:

[0085] Step 404: After confirming the location of the pollution source or the area where it may exist, a mobile detection device, i.e., a manned or unmanned water quality detection ship, is moved to the polluted area to conduct water quality detection, and the mobile detection device is used to further survey the pollution source to determine its type and location;

[0086] Among the water quality assessment indexes obtained through water quality testing, is there at least one assessment index that exceeds the standard? If so, does the assessment index radiate outward in an orderly manner? If so, it can be determined that the point is a pollutant source;

[0087] If not, continue to determine the pollutant emission source according to the radiation direction of the pollution degree of the evaluation value index until the exact location of the pollution source is determined;

[0088] Step 405: Determine the location information of the pollution emission source, mark it on the electronic map, and communicate it to the outside.

[0089] When in use, combined with the contents in steps 404 to 405, after the location of the pollution source is simulated and inferred, the location of the pollution source can be finally determined based on manual inspection.

[0090] Step 406, determine the diffusion direction and diffusion trend of pollutants, obtain several groups of pollution area information; fit the function, characterize and predict the change of pollution area based on the pollution area fitting function, and issue a warning message if the pollution area in the next cycle is about to exceed the warning value.

[0091] When in use, by establishing a fitting function, if there is a pollution source in the polluted area, the diffusion trend of the pollution source is fitted. In the absence of much external interference, the changes in the polluted area can be analyzed and predicted, and then an early warning is formed for the spread of the polluted area. Users can perceive the changes in the polluted area and the changes in the degree of pollution in advance, which plays a role of early warning.

[0092] Step 5: Sort the pollution levels in each polluted area, determine the data of the main pollution sub-factors, determine the correlation with the emission points in the adjacent areas, determine the emission points that cause the pollution, mark the locations of the emission points, compare the surrounding pollution sources based on the characteristics of the pollutants, and trace the key polluting enterprises or facilities;

[0093] The step five includes the following contents:

[0094] Step 501: Obtain the locations of all polluted areas and corresponding detection data, evaluate the water quality of the polluted areas, and form a number of pollution assessment values;

[0095] Step 502: sorting a number of pollution assessment values, forming a sorting result and outputting it;

[0096] When using it, the user can determine the priority of treating the polluted areas according to the sorting results. If the user's energy is limited, the polluted areas can be treated according to this sorting order;

[0097] Step 503: determine the pollution sub-factor data in each polluted area, compare several pollution sub-factor data with corresponding thresholds, and determine the part exceeding the standard; that is, one or more of chemical oxygen demand COD, ammonia nitrogen AN, total suspended solids SS, heavy metal content ZJ, hexavalent chromium Cr and sulfide S;

[0098] Step 504: Obtain the pollution sub-factor data that exceeds the standard, and determine the emissions of the emission points in the adjacent area, and judge the similarity between the two. If the similarity exceeds a threshold, determine that the emission point is a pollution emission source;

[0099] Step 505: Mark the emission point of the determined emission pollution source on the electronic map and issue an alarm.

[0100] When in use, the contents in steps 501 to 505 first determine the pollution degree of each pollution area, determine the processing order, and then judge the main pollutants in each pollution area in turn, that is, the pollution sub-factors. The user can judge the pollution source based on the similarity between the pollutants and the discharge of nearby discharge points; when in use, by monitoring the water quality of the polluted area, the pollution source that causes water pollution in the area can be quickly determined, and an alarm can be automatically issued. The user can confirm the pollutant discharge point from the electronic map according to the alarm, reducing the time for re-inspection and achieving a rapid tracing effect.

[0101] In combination with the above steps, in this application, there are at least the following effects:

[0102] By setting up a floating water quality detection device, the water body in the area can be monitored and the water quality data can be output. By analyzing the water quality data and coordinating with the set electronic map, a pollution assessment value and an assessment value index can be formed. The monitored water body can be divided into several monitoring areas, and the polluted areas therein can be confirmed. With the help of the electronic map, the polluted areas can be visualized.

[0103] Users can directly determine the polluted areas in the monitored water through electronic maps, ultimately achieving the effect of remote monitoring and sharing, saving users time for field investigations.

[0104] By setting up several hydrological detection points, the hydrological information of the water body is obtained, and finally a water flow model is established to simulate the water flow state. By establishing isopollution lines, the pollution sources in the polluted area can be determined, and the trend of pollution diffusion can be judged based on the isopollution lines. The diffusion of pollution sources can be simulated based on the water flow model. Combined with electronic maps, the diffusion trend of pollution sources can be visualized. Users can more easily grasp pollution changes on the basis of remote monitoring, and can also realize the early warning function.

[0105] By conducting similarity analysis and determining the correlation between emissions from nearby emission points and pollution sources, the emission points that cause water pollution can be confirmed, reducing the time for field investigations and improving efficiency.

[0106] Example 2

[0107] See also Figure 2 This embodiment provides a smart coal mine wastewater discharge detection and early warning system, including:

[0108] The area division unit 10 delimits the detection area, determines the sewage discharge point in the area, creates an electronic map, and marks the discharge point on the electronic map;

[0109] The water body model building unit 20 builds a water body flow model according to the flow of the water body, and sets up a number of movable detection devices with communication functions in the detection area to obtain detection data;

[0110] The data analysis unit 30 analyzes the detection data, divides the detection area into M areas, and determines the contaminated area within the area according to the distribution of the detection data, where M is an integer greater than zero;

[0111] The early warning unit 40 determines the pollution source and the diffusion trend of the pollutants from the pollution source to the outside from the pollution area, visualizes the diffusion trend, and issues an early warning when the area of ​​the pollution area is about to exceed the warning value;

[0112] The marking unit 50 ranks the pollution levels in each pollution area, determines the data of the main pollution sub-factors, determines the emission point causing the pollution based on the correlation with the emission points in the adjacent areas, and marks the location of the emission point.

[0113] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0114] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0115] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0116] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division of a waterway underwater terrain change analysis system and method. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0117] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0118] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0119] If the functions are implemented in the form of 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 the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0120] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0121] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A smart coal mine wastewater discharge detection and early warning method, characterized in that: These include: Step 1: Define the detection area and identify potential pollution sources in the coal mining area, coal preparation plant, and coal mine water treatment facility discharge outlets in the area; establish an electronic map based on the detection area and mark the discharge points on the electronic map; Step 1 includes: Step 101: According to the water quality monitoring task, determine the water area to be tested and create an electronic map, and mark all the water areas to be tested on the electronic map; Step 102: According to public channels, obtain the location of the coal mining area, coal preparation plant and waste rock dump in the area, mark the location of the discharge point on the electronic map, and determine the distance from the water area; Step 2: Monitor the water body in the area, establish a water flow model based on the flow of the water body, and set up a mobile detection device with communication function in the detection area to obtain detection data; Step 3: Analyze the detection data, divide the detection area into M areas, and determine the contaminated area within the area based on the distribution of the detection data, where M is an integer greater than zero; Step 4: Combining the flow model with the hydrogeological characteristics of the coal mining area, determine the pollution source and the diffusion trend of pollutants from the pollution source to the outside from the pollution area, visualize the diffusion trend, and issue an early warning when the area of ​​the pollution area exceeds the warning value; Step 5: Sort the pollution levels in each polluted area, determine the pollution sub-factor data, determine the correlation with the emission points in the adjacent areas, determine the emission points that cause pollution, and mark the locations of the emission points.

2. The intelligent coal mine wastewater discharge detection and early warning method according to claim 1 is characterized in that: The step 2 includes the following contents: Step 201: Based on the hydrological monitoring points located in the area to be detected, the cross-sectional water level, flow rate, and flow velocity of the water body are detected, the detection results are respectively obtained, and a first data detection set is established; Step 202: Based on the first data detection set obtained from the hydrological monitoring points in the water area, a water flow model is established using a modeling tool to simulate the water flow in the area to be detected.

3. A smart coal mine wastewater discharge detection and early warning method according to claim 2, characterized in that: After step 202, the following steps are also included: Step 203, evenly set floating water quality detection devices in the area to be detected, periodically sample the water body, and analyze the water body; Step 204, obtain detection data along the time axis and establish a second detection data set; Step 205, determine the evaluation strategy, obtain detection data from the detection data set, evaluate the water quality of the water body according to the evaluation strategy, and form a pollution assessment value.

4. The intelligent coal mine wastewater discharge detection and early warning method according to claim 3 is characterized in that: The evaluation strategy is as follows: The chemical oxygen demand COD, ammonia nitrogen AN, total suspended solids SS, heavy metal content ZJ, hexavalent chromium Cr and sulfide S in the water body are obtained, normalized, and then integrated to form a pollution assessment value WP. The confirmation logic of the pollution assessment value WP is as follows: Among them, R1, R2, R3, R4, R5 and R6 are weight parameters, among which R1≤R2≤R3≤R4 and 1≤R1+R2+R3+R4+R5+R6≤4.57, and C and D are constant correction coefficients.

5. The intelligent coal mine wastewater discharge detection and early warning method according to claim 1 is characterized by: The step three comprises: Step 301: Mark the detection point where each mobile detection device is located with the pollution assessment value, determine the location information that generates the pollution assessment value, and mark it on the electronic map; Step 302: Establish a classifier based on the classification algorithm, obtain the assessment value, and divide the water body in the area into N monitoring areas in combination with the location information; Step 303: Determine the edge of each monitoring area based on the distribution of the pollution assessment value, and mark each monitoring area on the electronic map, where N is an integer greater than zero.

6. A smart coal mine wastewater discharge detection and early warning method according to claim 5, characterized in that: After step 303, the following steps are also included: Step 304: obtain the pollution assessment value provided by the detection point in each monitoring area, and combine it with the area of ​​the detection area to form an assessment value index for each area, which is used to compare the assessment values ​​in each area; wherein, the method for obtaining the assessment value index is as follows: obtain the area M of each monitoring area and the sum HP of the pollution assessment value, perform normalization processing, and form an assessment value index PG after integration. The confirmation logic of the assessment value index PG is as follows: Among them, β is the constant coefficient, E is the constant correction coefficient; Step 305: compare the evaluation value index with the threshold value to determine the water quality in the monitoring area. If it exceeds the threshold value, the water quality in the detection area is determined to be polluted. The monitoring area is marked on the electronic map and the judgment result is output to determine it as a polluted area.

7. The intelligent coal mine wastewater discharge detection and early warning method according to claim 1 is characterized by: The fourth step comprises: Step 401: In the next monitoring cycle, monitoring data is obtained based on the movable detection device in the contaminated area, an evaluation value index is determined, and a monitoring data set is established through the evaluation value index; Step 402: Combine the coordinates of the generated monitoring data, mark the evaluation value index in the polluted area, and connect the evaluation value indexes with similar or same pollution levels to establish equal pollution lines; obtain multiple groups of evaluation value indexes, and obtain multiple groups of equal pollution lines at different time points along the time series, and determine them as the first equal pollution line, the second equal pollution line, ..., the Tth equal pollution line according to the order in time; Step 403, obtain the distribution pattern of the pollution lines, determine the diffusion direction and diffusion trend of the pollutants, and visualize the diffusion trend; based on the first pollution line, determine the location or area of ​​the pollution source according to the vertical line method, combine the flow model and the hydrogeological characteristics of the coal mining area with the pollution lines, simulate the diffusion of pollutants, confirm the location or area of ​​the pollution source, and narrow the regional scope of the pollutants; communicate the location or area data to the outside.

8. A smart coal mine wastewater discharge detection and early warning method according to claim 7, characterized in that: After step 403, there are: Step 404: after confirming the location or area of ​​the pollution source, the movable detection device is moved to the polluted area to perform water quality detection; among the water quality evaluation value indexes obtained according to the water quality detection, whether there is at least one evaluation value index that exceeds the standard, if so, whether the evaluation value index radiates outward in an orderly manner, if so, the source of the pollutant can be determined; If not, continue to determine the pollutant emission source according to the radiation direction of the pollution degree of the evaluation value index until the exact location of the pollution source is determined; Step 405: determine the location information of the pollution emission source, mark it on the electronic map, and communicate it to the outside; Step 406: determine the diffusion direction and diffusion trend of pollutants and obtain the area information of the polluted area; Fitting function, based on the pollution area fitting function, to characterize and predict the change of pollution area. If the pollution area in the next cycle exceeds the warning value, an early warning message will be issued.

9. The intelligent coal mine wastewater discharge detection and early warning method according to claim 1 is characterized by: The step five comprises: Step 501: obtain the location of the polluted area and the corresponding detection data, evaluate the water quality of the polluted area, and form a pollution assessment value; Step 502: sort the pollution assessment values, form a sorting result and output it; Step 503: determine the pollution sub-factor data in each polluted area, and compare the pollution sub-factor data with the corresponding threshold value; Step 504: obtain the pollution sub-factor data that exceeds the standard, and determine the emissions of the emission points in its neighboring areas, and judge the similarity between the two. If the similarity exceeds the threshold, the emission point is determined to be a pollution emission source; Step 505: mark the emission point of the determined emission source on the electronic map and issue an alarm.

10. A smart coal mine wastewater discharge detection and early warning system, which is used to implement a smart coal mine wastewater discharge detection and early warning method according to any one of claims 1 to 9, characterized in that: include: A region division unit (10) defines a detection region, determines the sewage discharge point in the region, creates an electronic map, and marks the discharge point on the electronic map; A water body model building unit (20) builds a water body flow model according to the flow of the water body, and sets a movable detection device with a communication function in the detection area to obtain detection data; A data analysis unit (30) analyzes the detection data, divides the detection area into M areas, and determines the contaminated area within the area according to the distribution of the detection data, wherein M is an integer greater than zero; An early warning unit (40) determines the pollution source and the diffusion trend of pollutants from the pollution source to the outside from the pollution area, visualizes the diffusion trend, and issues an early warning when the area of ​​the pollution area exceeds a warning value; The marking unit (50) ranks the pollution levels in each pollution area, determines the pollution sub-factor data, determines the emission point causing the pollution based on the correlation with the emission points in the adjacent area, and marks the position of the emission point.

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