Coal mine safety production scheduling management method and device based on GIS

Abstract

The invention discloses a GIS-based coal mine safety production scheduling management method and device, relates to the technical field of production scheduling, and solves the technical problems that unified integration and analysis are lacked, comprehensive production situation awareness is difficult to form, and the scientificity and timeliness of a scheduling scheme are insufficient. Data cleaning and a spatial database engine are integrated, a coal mine three-dimensional model is constructed, unified management and visual presentation of production total factor data are achieved, data such as production progress, equipment scheduling and material requirements are collected in real time based on the coal mine three-dimensional model, the production state is rapidly judged through a preset rule, the recognition time is shortened, and the production efficiency is improved. A plurality of groups of simulation scheduling schemes are generated for abnormity, quantitative analysis is carried out from space influence and path influence, an optimal scheme is screened in combination with a weighting algorithm, screening is carried out by determining required scheduling resources and combining idle resources in a coal mine area, and path distance and resource complementarity are comprehensively considered, so that accurate matching and efficient scheduling of resources are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of production scheduling, and in particular to a GIS-based coal mine production safety scheduling management method and device. Background Art

[0002] Coal mine production safety scheduling and management is a key link in ensuring efficient coal mining and personnel safety.

[0003] According to the patent application with publication number CN116933997B, a GIS-based safe production scheduling management method and device are disclosed. The above patent integrates scheduling data such as output and footage with production mine maps based on GIS technology, and uses the superposition of vector data and remote sensing data, up-and-down well comparison, and inter-layer comparison technology of working face range to query historical production footage data by connecting to the production database and calculate the latest advancement position of each working face and automatically generate a working face recovery progress map, thereby reducing the untimely and heavy workload of manual mapping, and the inability to achieve refined map-based management, thereby optimizing the existing coal enterprise scheduling and production management methods.

[0004] As coal mining becomes deeper and more complex, existing scheduling management methods have the following flaws: on the one hand, multi-source data is isolated from each other, lacking unified integration and analysis, making it difficult to form a comprehensive perception of the production situation; on the other hand, in the face of sudden anomalies, manual decision-making is inefficient, and scheduling plans are not scientific and timely enough, which can easily lead to production delays or safety accidents. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a GIS-based coal mine production safety scheduling management method and device, which solves the problems of lack of unified integration and analysis, difficulty in forming a comprehensive production situation awareness, and insufficient scientificity and timeliness of scheduling plans.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a GIS-based coal mine production safety scheduling management method, the method specifically comprising the following steps: Pre-process and integrate basic data, integrate multi-source data, and construct a 3D model of the coal mine using 3D modeling technology; Based on the coal mine 3D module, real-time production data is obtained and used as a standard to judge the production status, analyze production anomaly signals and determine the cause of the anomaly; Based on the abnormal cause, the production simulation scheduling plan is scored and assigned separately for its spatial impact and path impact, and the scheduling analysis value is calculated by weighted summation. At the same time, the pre-selected plan information is generated based on the minimum value. Combine the abnormal cause and pre-selected plan information to determine the demand scheduling resources and obtain the area to be scheduled. Combine the demand scheduling resources and pre-selected plan to screen the demand scheduling area, and at the same time judge its actual production situation to generate a production scheduling satisfaction or scheduling dissatisfaction signal; The scheduling does not meet the signal analysis, determine the target area and establish the coordinate axis, mark the points in the pre-selected area, and use any two groups of pre-selected areas with the smallest sum of distances as the standard to produce resource scheduling information.

[0007] As a further solution of the present invention, the specific method of producing abnormality analysis signals and determining the cause of the abnormality is: Real-time data on production progress, equipment scheduling, and material requirements are obtained from the three-dimensional model of the coal mine to judge the production status. If any type of data is abnormal, the overall production is judged to be abnormal, an abnormal signal is generated, and the cause is analyzed; if all three types of data are normal, the production status is judged to be normal, and a normal signal is generated.

[0008] As a further solution of the present invention, the specific method of generating the pre-selected solution information is: Based on the determined abnormal cause, a simulated scheduling plan is generated and labeled i, where i = 1, 2, ..., j, where j represents the number of simulated scheduling plans. The spatial impact and path impact corresponding to the simulated scheduling plan i are then analyzed to obtain the corresponding spatial impact index and path impact index. The obtained spatial impact index and path impact index are weighted and summed to calculate the scheduling analysis value Fi corresponding to the simulated scheduling scheme i. At the same time, the simulated scheduling scheme with the smallest scheduling analysis value Fi is selected as the standard to generate the pre-selected scheme information.

[0009] As a further solution of the present invention, the specific method of obtaining the corresponding spatial impact index and path impact index is: Analyze the spatial impact, obtain the spatial conflict situation corresponding to the simulated scheduling plan, and assign scores to different spatial conflict situations. At the same time, perform weighted summation on the obtained scores to obtain the corresponding spatial impact index; Analyze the path impact, obtain the avoidance area corresponding to the simulated scheduling plan, and obtain the avoidance range corresponding to the avoidance area. At the same time, score and assign values ​​according to the total distance of the avoidance range, and perform weighted summation on all the assigned values ​​to obtain the corresponding path impact index.

[0010] As a further solution of the present invention, the specific method of combining the demand scheduling resources and the pre-selected solutions to obtain the demand scheduling area is: Determine the demand scheduling resources based on the pre-selected plan and the cause of the abnormality, and then lock the areas to be scheduled that meet the conditions. After obtaining the idle resources in each area, screen out the areas where the idle resources can meet the demand as the pre-selected areas. Finally, from the pre-selected areas, select the demand scheduling area according to the optimal path of the pre-selected plan.

[0011] As a further solution of the present invention, the specific manner of the production scheduling satisfaction or scheduling non-satisfaction signal is: The actual production situation of the demand scheduling area is obtained, and at the same time, it is judged whether the demand scheduling resources are met based on the actual production situation. If it is met, a scheduling satisfaction signal is generated, and resource scheduling information is generated based on it. Otherwise, if it is not met, a scheduling dissatisfaction signal is generated.

[0012] As a further solution of the present invention, the specific method of analyzing the scheduling failure signal is: Determine the target area where the cause of the anomaly is located, establish horizontal and vertical coordinate axes with it as the origin, mark the pre-selected areas as coordinate points, calculate the distance between each point and the target area, and then calculate the sum of the distances from any two groups of pre-selected areas to the target area. Select the two groups of pre-selected areas with the smallest sum of distances, and generate resource scheduling information accordingly.

[0013] A GIS-based coal mine production safety scheduling and management device, the device includes a production data acquisition module, a production status judgment module, an abnormal status analysis module, a scheduling analysis and processing module and an information output module; The production data acquisition module is used to collect basic data of coal mine production, pre-process and integrate it, integrate multi-source data to build a three-dimensional model of the coal mine, and then transmit it to the production status judgment module; The production status judgment module is used to obtain real-time production data based on the three-dimensional model of the coal mine, judge the overall production status based on the real-time production data, generate abnormal analysis signals, determine the cause of the abnormality, and transmit it to the abnormal status analysis module; Abnormal state analysis module, which is used to produce simulated scheduling plans based on abnormal causes, calculate the scheduling analysis values ​​of the simulated scheduling plans from the two aspects of spatial impact and path impact, and select the simulated scheduling plan with the smallest value to produce pre-selected plan information; Determine the demand scheduling resources based on the pre-selected plan information and the abnormal reasons, and select the area to be scheduled that meets the scheduling management. At the same time, the area to be scheduled is screened to obtain the pre-selected area based on the demand scheduling resources, and the demand scheduling area is screened based on the pre-selected plan. Then, the production scheduling is judged to meet or not meet the scheduling signal based on the corresponding actual production situation, and the scheduling not meet signal is transmitted to the scheduling analysis and processing module. The scheduling analysis and processing module is used to analyze the obtained scheduling non-satisfaction signal, obtain the target area, and establish the coordinate axis with it as the origin. At the same time, the coordinate points of the pre-selected areas in the pre-selected plan are marked, and the resource scheduling information is generated based on any two groups of pre-selected areas with the smallest sum of distances, and then transmitted to the information output module; The information output module is used to display the acquired resource scheduling information to the corresponding management personnel.

[0014] The present invention provides a GIS-based coal mine production safety scheduling management method and device. Compared with the existing technology, it has the following advantages: The present invention collects multi-source data by utilizing technologies such as drone oblique photography and lidar scanning, and constructs a three-dimensional model of the coal mine through data cleaning and integration with a spatial database engine. This enables unified management and visualization of all production factor data. Based on the three-dimensional model of the coal mine, data such as production progress, equipment scheduling, and material requirements are collected in real time. The production status is quickly determined through preset rules, reducing recognition time.

[0015] The present invention generates multiple sets of simulated scheduling schemes for anomalies, conducts quantitative analysis from the perspective of spatial impact and path impact, and selects the optimal scheme in combination with a weighted algorithm. By determining the demand scheduling resources, screening them in combination with the idle resources in the coal mine area, and comprehensively considering the path distance and resource complementarity, the present invention realizes accurate matching and efficient scheduling of resources. A complete closed loop is formed from data collection, status judgment, scheme formulation to resource scheduling. Through the deep integration of three-dimensional models and real-time data, the intelligent, automated and scientific coal mine production scheduling is realized, providing core technical guarantees for safe production and efficient operation of coal mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a diagram of the steps and methods of the present invention; Figure 2 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 The present application provides a GIS-based coal mine production safety scheduling management method, which specifically includes the following steps: Step S1: Collect basic data corresponding to coal mine production, and the basic data includes basic geographic data (using drone oblique photography and ground laser radar scanning technology to obtain high-precision three-dimensional point cloud data of mining area terrain, geological structure and surface buildings), production facility data (using total stations and GPS positioning equipment to collect spatial coordinates of underground tunnels, mining working faces, ventilation systems (fans, air networks), transportation systems (belt conveyors, tracks) and other facilities), dynamic monitoring data (using Internet of Things sensors (such as gas sensors, dust sensors, temperature sensors) to collect underground environmental parameters in real time, and using UWB or RFID positioning technology to obtain dynamic location data of personnel and equipment) and safety management data (integrating historical accident records and hidden danger investigation ledgers, marking the location, type and treatment measures of accidents). ), and preprocess the resulting data. Data preprocessing specifically refers to data cleaning. Specifically, cleaning rules are developed for the collected data to remove duplicate records, correct erroneous data, and fill in missing values ​​to ensure data quality. This results in preprocessed data, which is then integrated and managed. Specifically, data from different formats and sources (such as terrain data in Shapefile format and sensor data in JSON format) is converted into a unified storage format to achieve seamless data integration and sharing. Multi-source data is integrated using a spatial database engine to generate integrated data. Based on this integrated data, a 3D model of the coal mine is constructed using 3D modeling technology. Professional 3D modeling software (such as SuperMap 3D, ArcGIS Pro, and 3ds Max) is used to convert 2D data (such as tunnel plans) into 3D models, assigning properties such as material and texture to the models to achieve a realistic reproduction of the underground scene. Dynamic monitoring data is also associated with the 3D model, displaying real-time information such as equipment operating status, personnel location, and environmental parameters.

[0019] Step S2: Based on the three-dimensional model of the coal mine, real-time production data of the coal mine is obtained, and the overall production status is judged according to the real-time production data, and the real-time production data includes production progress, equipment scheduling and material demand. If there is an abnormality in the real-time production data, specifically indicated by any one group of abnormalities in the production progress, equipment scheduling and material demand, it means that the overall state of the coal mine production is abnormal, and an abnormal analysis signal is generated. At the same time, it is analyzed and the cause of the abnormality is determined based on the real-time production data. On the contrary, if there is no abnormality in the real-time data, specifically indicating that the production progress, equipment scheduling and material demand are normal, it means that the overall state of the coal mine production is normal, and a normal monitoring signal is generated.

[0020] Relying on the digital platform built on the three-dimensional model of the coal mine, core data such as production progress, equipment scheduling, material requirements, etc. are collected in real time through the Internet of Things, sensors and automation systems, and an intelligent analysis mechanism is established to achieve dynamic monitoring and accurate judgment of production status.

[0021] Establish judgment rules to quickly identify production status: Normal status determination: When the production progress deviation is within ±5%, the equipment is fault-free and the operating parameters are normal, and the material supply and demand are balanced, the system generates a green "normal monitoring signal", marks each production unit with a green icon in the 3D model, and displays real-time production data on the monitoring screen.

[0022] Abnormal status determination: If any data item is abnormal, the system will immediately generate a red "abnormal analysis signal" and analyze it at the same time, combining the spatial relationship of the three-dimensional model and historical data to determine the corresponding abnormal cause.

[0023] For example, a coal mine deployed a real-time monitoring system on a 3D GIS platform. At 2:00 a.m. one morning, the system suddenly triggered a Level 1 abnormality signal: the conveyor belt in Mining Area 2 flashed red in the 3D model, and an alarm message popped up on the large screen: "Conveyor 2 shut down, location: West Wing Conveyor Lane, -1000m level." The system automatically retrieved historical data for the area and discovered that the belt load had continuously exceeded 120% of its rated value for 30 minutes prior to the shutdown. Furthermore, humidity sensors in nearby lanes indicated a sudden increase in humidity. Based on the lane topography in the 3D model, it was determined that increased water inflow from the upstream working face had caused coal slime accumulation to block the belt. The dispatch center immediately activated the emergency plan, notifying maintenance personnel to bring drainage equipment and adjust alternative transport routes.

[0024] Step S3: Generate a simulated scheduling plan based on the determined abnormal cause and label it as i, where i=1, 2, ..., j, where j represents the number of simulated scheduling plans. The simulated scheduling plans here are uniformly generated with the coal mine entrance as the starting point and the area corresponding to the abnormal cause as the end point. Then, calculate the scheduling impact corresponding to the simulated scheduling plan i, and analyze the scheduling impact from two aspects: spatial impact and path impact. The specific analysis is as follows: Analyze the spatial impact, obtain the spatial conflict situation corresponding to the simulated scheduling plan, and assign scores to different spatial conflict situations. At the same time, perform weighted summation on the obtained scores to obtain the corresponding spatial impact index; Analyze the path impact, obtain the avoidance area corresponding to the simulated scheduling plan, and determine the avoidance range corresponding to the obtained avoidance area. Here, the avoidance range represents the total distance of bypassing the avoidance area. The specific total distance is not the straight-line distance. At the same time, assign scores based on the total distance of the avoidance range, and perform weighted summation on all the obtained scores to obtain the corresponding path impact index; Analyze the conflict degree between the areas involved in the three-dimensional model analysis plan and other production activities and fixed facilities. For example, whether the newly planned transportation route crosses the working mining face or occupies the emergency passage.

[0025] Establish a conflict level scoring system, which is divided into 4 levels according to the severity: No conflict (0 points): The plan does not affect existing production activities; Minor conflict (2 points): It is necessary to temporarily adjust a small number of equipment or personnel; Moderate conflict (5 points): Cause a short-term shutdown in a local area; Severe conflict (8 points): Affect the coordinated operation of multiple production units.

[0026] Perform weighted summation on the obtained space impact index and path impact index to calculate the scheduling analysis value Fi corresponding to the simulated scheduling plan i. At the same time, select the simulated scheduling plan with the smallest scheduling analysis value Fi as the standard to generate preselected plan information.

[0027] Based on the roadway network topology of the three-dimensional model, mark the areas that need to be bypassed due to abnormalities (such as the roadway where the faulty belt conveyor is located), and calculate the total bypass distance Li (considering the actual roadway direction rather than the straight-line distance).

[0028] Establish a distance-score mapping table, for example: L ≤ 100 meters: 2 points; 100 < L ≤ 300 meters: 5 points; 300 < L ≤ 500 meters: 8 points; L > 500 meters: 10 points.

[0029] Perform weighted summation on the space impact index S and the path impact index F according to the preset weights (such as space impact weight 0.6 and path impact weight 0.4) to obtain the scheduling analysis value: Fi = 0.6xSi + 0.4xRi. At the same time, based on the obtained scheduling analysis value, select the smallest Fi value as the standard to generate preselected plan information.

[0030] Step S4: Determine the corresponding demand scheduling resources based on the generated pre-selected scheme information and the corresponding abnormal cause. The demand scheduling resources here include the number of personnel, the number of equipment, and the number of materials. The specific determination is based on the abnormal cause in the actual situation. At the same time, the coal mine area that meets the scheduling management requirements is obtained based on the scheduling resources and recorded as the area to be scheduled. Then, the idle resources corresponding to the area to be scheduled are obtained, and the area to be scheduled is screened in combination with the demand scheduling resources. The specific screening method is as follows: Compare the idle resources in the to-be-scheduled area with the required scheduling resources, and select the to-be-scheduled area whose idle resources meet the required scheduling resources as the pre-selected area. The area is labeled n, and n = 1, 2, ..., m, where m represents the number of pre-selected areas. Then, obtain the pre-selected plan and select the pre-selected area corresponding to the optimal path as the required scheduling area. Then, the actual production situation of the demand scheduling area is obtained, and the actual production situation here is expressed as the specific amount of schedulable resources, which is two different concepts from the above-mentioned idle resource amount. At the same time, it is judged whether the demand scheduling resources are met based on the actual production situation. If so, a scheduling satisfaction signal is generated, and resource scheduling information is generated based on it. Otherwise, if it is not met, a scheduling dissatisfaction signal is generated.

[0031] Based on the pre-selected plan and the cause of the abnormality, combined with historical data and production experience, the specific requirements for personnel, equipment, and materials are determined as follows: The number of personnel required is calculated based on task complexity, work duration, and safety regulations. For example, handling a tunnel collapse requires eight support workers, two roof inspectors, and one electrician, for a total of 11 personnel. If equipment repairs are required, five additional mechanical maintenance workers are needed. Equipment quantity: Determined based on workload intensity and equipment performance. For example, a temporary transport plan would require three electric locomotives and two mining forklifts; tunnel repairs would require two anchor drills and one shotcrete machine. Material quantity: Calculated based on the project volume and consumption quotas. For example, repairing a 20-meter tunnel requires 200 anchor rods, 50 rolls of steel mesh, and 30 cubic meters of concrete; equipment maintenance requires one spare belt and 200 liters of lubricating oil.

[0032] Based on the spatial scope of the pre-selected plan, combined with the tunnel zoning and equipment distribution in the three-dimensional coal mine model, potential resource scheduling areas are determined. IoT devices are used to collect real-time data on personnel on-the-job status, equipment idleness, and material inventory in each area. The idle resources in each area to be scheduled are compared item by item with the required scheduling resources. Adopting the principle of "core resources first", areas that fully or partially meet core requirements (such as key equipment and special personnel) are marked as pre-selected areas. Combined with the optimal path planning in the pre-selected options, prioritize areas close to the anomaly point and with unobstructed transportation routes. Compare the resource redundancy of the pre-selected areas and select areas with more sufficient resource reserves and stronger risk resistance. Obtain real-time production data for the demand scheduling area, including the amount of resources currently occupied by tasks and the amount of resources that can be temporarily deployed (i.e., the actual amount of resources that can be scheduled); Compare the actual amount of schedulable resources with the required schedulable resources. If all are met, a green "scheduling satisfaction signal" is generated, and a scheduling instruction containing the scheduling task, resource list, and execution time is output; if there is a gap, a red "scheduling non-satisfaction signal" is generated, and the type and quantity of the shortfall resources are marked, triggering a secondary scheduling or resource coordination process.

[0033] Step S5: Analyze the generated scheduling unsatisfaction signal, obtain the coal mine area corresponding to the abnormal cause and record it as the target area, and establish a corresponding coordinate axis with the target area as the origin, the east-west direction as the horizontal coordinate, and the north-south direction as the vertical coordinate. Then, mark the corresponding pre-selected area in the pre-selected solution information as a coordinate point and record it as Pn (Xn, Yn); At the same time, the distance between the coordinate point Pn (Xn, Yn) of the pre-selected area and the target area is calculated and recorded as Ln. The calculation is performed here using the coordinate formula between the two points. Taking any two groups of pre-selected areas as the standard, the sum of the corresponding distances is calculated. At the same time, the two groups of pre-selected areas corresponding to the smallest sum of distances are selected and used as the standard to generate resource scheduling information.

[0034] Example 2: Please refer to Figure 2 , the present application provides a GIS-based coal mine production safety scheduling and management device, which specifically includes: a production data acquisition module, a production status judgment module, an abnormal status analysis module, a scheduling analysis and processing module and an information output module; A production data acquisition module is used to collect basic data of coal mine production, pre-process and integrate it, and integrate multi-source data to build a three-dimensional model of the coal mine. The data is then transmitted to the production status judgment module. The specific processing method is similar to the processing process of step S1 in Example 1; A production status judgment module is used to obtain real-time production data based on the three-dimensional model of the coal mine, and judge the overall production status based on the real-time production data, generate an abnormality analysis signal, and determine the cause of the abnormality. The signal is transmitted to the abnormal status analysis module, and the specific processing method is similar to the processing process of step S2 in Example 1; Abnormal state analysis module, which is used to produce simulated scheduling plans based on the abnormal cause, and calculate the scheduling analysis values ​​of the simulated scheduling plans from the two aspects of spatial impact and path impact, and select the simulated scheduling plan with the smallest value to produce pre-selected plan information. The specific processing method is similar to the processing process of step S3 in embodiment 1; Determine the demand scheduling resources based on the pre-selected scheme information and the abnormal cause, and select the area to be scheduled that meets the scheduling management. At the same time, the area to be scheduled is screened in combination with the demand scheduling resources to obtain the pre-selected area, and the demand scheduling area is screened in combination with the pre-selected scheme. Then, the production scheduling is judged to be satisfied or not satisfied based on the corresponding actual production situation. At the same time, the scheduling not satisfied signal is transmitted to the scheduling analysis and processing module, and the specific processing method is the same as the processing process of step S4 in embodiment 1; A scheduling analysis and processing module is used to analyze the obtained scheduling non-satisfaction signal, obtain the target area, and establish a coordinate axis with it as the origin. At the same time, the coordinate points of the pre-selected areas in the pre-selected solution are marked, and the resource scheduling information is generated based on any two groups of pre-selected areas with the smallest sum of distances as the standard. The information is then transmitted to the information output module. The specific processing method is similar to the processing process of step S5 in Example 1; The information output module is used to display the acquired resource scheduling information to the corresponding management personnel.

[0035] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0036] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A GIS-based coal mine production safety scheduling management method, characterized by: The method specifically comprises the following steps: Pre-process and integrate basic data, integrate multi-source data, and construct a 3D model of the coal mine using 3D modeling technology; Based on the coal mine 3D module, real-time production data is obtained and used as a standard to judge the production status, analyze production anomaly signals and determine the cause of the anomaly; Based on the abnormal cause, the production simulation scheduling plan is scored and assigned separately for its spatial impact and path impact, and the scheduling analysis value is calculated by weighted summation. At the same time, the pre-selected plan information is generated based on the minimum value. Combine the abnormal cause and pre-selected plan information to determine the demand scheduling resources and obtain the area to be scheduled. Combine the demand scheduling resources and pre-selected plan to screen the demand scheduling area, and at the same time judge its actual production situation to generate a production scheduling satisfaction or scheduling dissatisfaction signal; The scheduling does not meet the signal analysis, determine the target area and establish the coordinate axis, mark the points in the pre-selected area, and use any two groups of pre-selected areas with the smallest sum of distances as the standard to produce resource scheduling information.

2. A GIS-based coal mine production safety scheduling management method according to claim 1, characterized in that: The specific method of producing abnormal analysis signals and determining the cause of the abnormality is: Real-time data on production progress, equipment scheduling, and material requirements are obtained from the three-dimensional model of the coal mine to judge the production status. If any type of data is abnormal, the overall production is judged to be abnormal, an abnormal signal is generated, and the cause is analyzed. If all three types of data are normal, the production status is judged to be normal and a normal signal is generated.

3. A GIS-based coal mine production safety scheduling management method according to claim 1, characterized in that: The specific method of generating the pre-selected solution information is: Based on the determined abnormal cause, a simulated scheduling plan is generated and labeled i, where i = 1, 2, ..., j, where j represents the number of simulated scheduling plans. The spatial impact and path impact corresponding to the simulated scheduling plan i are then analyzed to obtain the corresponding spatial impact index and path impact index. The obtained spatial impact index and path impact index are weighted and summed to calculate the scheduling analysis value Fi corresponding to the simulated scheduling scheme i. At the same time, the simulated scheduling scheme with the smallest scheduling analysis value Fi is selected as the standard to generate the pre-selected scheme information.

4. A GIS-based coal mine production safety scheduling management method according to claim 3, characterized in that: The specific method of obtaining the corresponding spatial impact index and path impact index is: Analyze the spatial impact, obtain the spatial conflict situation corresponding to the simulated scheduling plan, and assign scores to different spatial conflict situations. At the same time, perform weighted summation on the obtained scores to obtain the corresponding spatial impact index; Analyze the path impact, obtain the avoidance area corresponding to the simulated scheduling plan, and obtain the avoidance range corresponding to the avoidance area. At the same time, score and assign values ​​according to the total distance of the avoidance range, and perform weighted summation on all the assigned values ​​to obtain the corresponding path impact index.

5. The GIS-based coal mine production safety scheduling management method according to claim 1, characterized in that: The specific method of combining the demand scheduling resources and the pre-selected solutions to obtain the demand scheduling area is as follows: Determine the demand scheduling resources based on the pre-selected plan and the cause of the abnormality, and then lock the areas to be scheduled that meet the conditions. After obtaining the idle resources in each area, screen out the areas where the idle resources can meet the demand as the pre-selected areas. Finally, from the pre-selected areas, select the demand scheduling area according to the optimal path of the pre-selected plan.

6. A GIS-based coal mine production safety scheduling management method according to claim 1, characterized in that: The specific way in which the production scheduling satisfies or does not satisfy the signal is: The actual production situation of the demand scheduling area is obtained, and at the same time, it is judged whether the demand scheduling resources are met based on the actual production situation. If it is met, a scheduling satisfaction signal is generated, and resource scheduling information is generated based on it. Otherwise, if it is not met, a scheduling dissatisfaction signal is generated.

7. The GIS-based coal mine production safety scheduling management method according to claim 1, characterized in that: The specific method of analyzing the scheduling failure signal is as follows: Determine the target area where the cause of the anomaly is located, establish horizontal and vertical coordinate axes with it as the origin, mark the pre-selected areas as coordinate points, calculate the distance between each point and the target area, and then calculate the sum of the distances from any two groups of pre-selected areas to the target area. Select the two groups of pre-selected areas with the smallest sum of distances, and generate resource scheduling information accordingly.

8. A GIS-based coal mine production safety scheduling management device, used to execute the coal mine production safety scheduling management method according to any one of claims 1 to 7, characterized in that: The device includes a production data acquisition module, a production status judgment module, an abnormal status analysis module, a scheduling analysis and processing module and an information output module; The production data acquisition module is used to collect basic data of coal mine production, pre-process and integrate it, integrate multi-source data to build a three-dimensional model of the coal mine, and then transmit it to the production status judgment module; The production status judgment module is used to obtain real-time production data based on the three-dimensional model of the coal mine, judge the overall production status based on the real-time production data, generate abnormal analysis signals, determine the cause of the abnormality, and transmit it to the abnormal status analysis module; Abnormal state analysis module, which is used to produce simulated scheduling plans based on abnormal causes, calculate the scheduling analysis values ​​of the simulated scheduling plans from the two aspects of spatial impact and path impact, and select the simulated scheduling plan with the smallest value to produce pre-selected plan information; Determine the demand scheduling resources based on the pre-selected plan information and the abnormal reasons, and select the area to be scheduled that meets the scheduling management. At the same time, the area to be scheduled is screened to obtain the pre-selected area based on the demand scheduling resources, and the demand scheduling area is screened based on the pre-selected plan. Then, the production scheduling is judged to meet or not meet the scheduling signal based on the corresponding actual production situation, and the scheduling not meet signal is transmitted to the scheduling analysis and processing module. The scheduling analysis and processing module is used to analyze the obtained scheduling non-satisfaction signal, obtain the target area, and establish the coordinate axis with it as the origin. At the same time, the coordinate points of the pre-selected areas in the pre-selected plan are marked, and the resource scheduling information is generated based on any two groups of pre-selected areas with the smallest sum of distances, and then transmitted to the information output module; The information output module is used to display the acquired resource scheduling information to the corresponding management personnel.

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