An emergency rescue decision system for simulating mine water disasters

Abstract

The application discloses an emergency rescue decision system for simulating mine water disaster, and relates to the technical field of simulation.The system comprises a data acquisition module, a model establishment module, a monitoring module, an analysis module, a decision making module, a database and a warning terminal.A roadway model and a mine water permeation spreading model are constructed according to information in the mine, and hydrogeological data of each key area in the mine are collected in real time to determine the possibility of water disaster in the mine.If the possibility is high, each water disaster occurrence point and an escape route of workers are analyzed, and the mine water permeation spreading model is used to simulate the water disaster.A rescue route is determined according to the simulation result and the escape route of the workers, the rescue time is increased, the real-time of each data and the effectiveness of the rescue route are ensured, and the success rate of rescue is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of simulation, in particular to an emergency rescue decision system for simulating mine water disaster. BACKGROUND

[0002] Mine water disaster is one of the major disasters threatening the safety of coal mine production, which has the characteristics of strong suddenness, great destructiveness and high difficulty in rescue, so a system needs to be developed to analyze the possibility of water disaster in the mine according to real-time information in the mine and to develop a rescue plan.

[0003] The traditional emergency rescue decision system for simulating mine water disaster relies on manual and sensor collection of hydrogeological data of each key area in the mine, transmits the hydrogeological data of each key area to the water disaster simulation model when the water disaster occurs, and outputs the simulation results, and develops a rescue route according to the simulation results. Obviously, the traditional emergency rescue decision system for simulating mine water disaster has the following shortcomings: 1. The traditional emergency rescue decision system for simulating mine water disaster collects some data manually, and there is a time difference when collecting hydrogeological data of each key area by manual, which cannot guarantee the real-time of data.

[0004] 2. The traditional emergency rescue decision system for simulating mine water disaster simulates the water disaster according to the collected hydrogeological data of each key area when the water disaster occurs, and plans the rescue path according to the simulation results, which reduces the rescue time.

[0005] 3. When the water disaster occurs, the workers will flee, and the traditional emergency rescue decision system for simulating mine water disaster develops a rescue route according to the simulation results, without considering the problem of worker fleeing, which cannot guarantee the effectiveness of the rescue route and the success rate of rescue. SUMMARY

[0006] In view of the above technical deficiencies, the purpose of the present application is to provide an emergency rescue decision system for simulating mine water disaster.

[0007] To solve the above technical problems, the present application adopts the following technical scheme: the present application provides an emergency rescue decision system for simulating mine water disaster, comprising: a data acquisition module, a model establishment module, a monitoring module, an analysis module, a decision making module, a database and a warning terminal.

[0008] The data acquisition module is used to obtain the intersection position of each roadway in the mine, the mine exit position and the position of each roadway and establish a roadway model, and abstract the roadway model into a topological graph.

[0009] The model establishing module is used for establishing a mine water inrush spreading model in combination with the SWMM model, and the specific process is as follows: first, information in the mine is collected, and is processed and converted, then the mine is divided into a plurality of sub-basins according to the mine roadway layout and the water flow path, then each roadway is regarded as a pipe system in the SWMM model, and the properties of the pipe are set according to the actual situation of each roadway, secondly, the water inrush point is defined as a source in the model, and the flow and head parameters of the source are set according to the water inrush quantity and water pressure and other data, finally, the data of historical water disaster events or field measured data are used to calibrate the parameters in the model, and the model is optimized.

[0010] The monitoring module is used for collecting hydrogeological data of each key area in real time, and judging the possibility of water disaster in the mine according to the hydrogeological data of each key area, and when the possibility of water disaster in the mine is high, warning is performed, and the analysis module is executed.

[0011] The analysis module is used for judging whether each key area is a water disaster occurrence point based on the hydrogeological data of each key area in the mine, and analyzing the escape route of the worker according to each water disaster occurrence point in the mine.

[0012] The decision making module is used for obtaining each rescue roadway, and setting the priority coefficient of each rescue roadway and the passing coefficient of each roadway according to the information of each roadway in the mine, combining the priority coefficient of each rescue roadway and the passing coefficient of each roadway to plan an optimal rescue route, and the specific process is as follows: S31, inputting the hydrogeological data of each water disaster occurrence point into the mine water inrush spreading model, outputting the predicted flooded area, the water flow velocity of each roadway, the water level of each roadway and the water level change rate of each roadway, and collecting the oxygen concentration of each roadway using a sensor.

[0013] S32, obtaining each roadway and each position of the worker through which the escape route of the worker passes, comparing the position of the worker with the range covered by each roadway in the mine, if the position of one or more workers is in the range covered by a roadway, it means that there is a worker in the roadway, and in this way, whether each roadway has a worker is judged, and each roadway through which the escape route passes and in which there is a worker is referred to as each rescue roadway.

[0014] S33, obtaining the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each rescue roadway, and analyzing the priority coefficient of each rescue roadway.

[0015] S34, obtaining the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each roadway, and analyzing the passing coefficient of each roadway.

[0016] S35, according to the traffic coefficient of each roadway and the priority coefficient of each rescue roadway, set the selection rule of the path, use the optimal path planning algorithm to plan the optimal rescue route according to the set path selection rule.

[0017] The database is used for storing each hydrogeological data of each key area, each water disaster occurrence point and worker escape route in each water disaster event of the mine history.

[0018] The early warning terminal is used for early warning when the possibility of water disaster in the mine is high.

[0019] The beneficial effects of the present application are: 1, the present application provides an emergency rescue decision system for simulating mine water disaster, constructs a roadway model and a mine water permeation spreading model according to each information in the mine, and collects each hydrogeological data of each key area in the mine in real time, judges the possibility of water disaster in the mine, if the possibility is high, analyzes each water disaster occurrence point and the escape route of the worker, and uses the mine water permeation spreading model to simulate the water disaster, formulates the rescue route according to the simulation result and the escape route of the worker, increases the rescue time, guarantees the real-time of each data and the effectiveness of the rescue route, and improves the success rate of rescue.

[0020] 2, when collecting each hydrogeological data of each key area, the present application uses a sensor to collect, which guarantees the real-time of the data.

[0021] 3, when the possibility of water disaster in the mine is high, the present application obtains each water disaster occurrence point according to each hydrogeological data of each key area, analyzes the escape route of the worker according to each water disaster occurrence point and each hydrogeological data of the water disaster occurrence point, simultaneously simulates the water disaster, plans the rescue route according to the simulation result of the water disaster and the escape route of the worker, guarantees the effectiveness of the rescue route and the success rate of rescue.

[0022] 4, the present application collects each hydrogeological data of each key area in real time, analyzes the possibility of water disaster in the mine according to each hydrogeological data of each key area, plans the rescue route when the possibility is high, and rescues according to the planned rescue route, which increases the rescue time. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0024] Figure 1 It is a schematic diagram of the system structure of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be apparently and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0026] Please refer to Figure 1 As shown in the figure, the present application provides an emergency rescue decision-making system for simulating mine water disaster, comprising a data acquisition module, a model establishment module, a monitoring module, an analysis module, a decision-making module, a database and a warning terminal.

[0027] The data acquisition module is connected with the model establishment module, the model establishment module is connected with the monitoring module, the monitoring module is connected with the analysis module, the analysis module is connected with the decision-making module, the database is connected with the model establishment module, the monitoring module, the analysis module and the decision-making module, and the warning terminal is connected with the monitoring module.

[0028] The data acquisition module is used for acquiring the intersection positions of each roadway in the mine, the mine exit position and the positions of each roadway and establishing a roadway model, and abstracting the roadway model into a topological graph.

[0029] It should be noted that the process of establishing the roadway model using the GIS engine is as follows: firstly, according to the geographic position and coordinate system of the roadway, a suitable spatial reference is set, then according to the measurement data and design drawings, a center line of the roadway is drawn using a line feature drawing tool in the GIS platform, then according to the cross-sectional size data of the roadway, the cross-sectional shape of the roadway is drawn using a surface feature drawing tool based on the center line, secondly, the drawn cross section is stretched or lofted along the center line to generate a three-dimensional model of the roadway, and finally, the generated roadway model is optimized.

[0030] It should be further noted that the intersection points of each roadway in the roadway model and the mine exit position are used as each node of the topological graph, and each roadway is used as an edge between each node.

[0031] The model establishing module is used for establishing a mine water inrush spreading model in combination with the SWMM model, and the specific process is as follows: first, information in the mine is collected, and is processed and converted, then the mine is divided into a plurality of sub-basins according to the layout of mine roadways and water flow paths, then each roadway is regarded as a pipe system in the SWMM model, and the properties of the pipe are set according to the actual situation of each roadway, then the water inrush point is defined as a source in the model, and the flow and head parameters of the source are set according to the water inrush amount and water pressure and other data, and finally, the data of historical water disaster events or field measured data are used to calibrate the parameters in the model, and the model is optimized.

[0032] It should be noted that the information in the mine includes stratum structure, rock permeability, aquifer distribution, goaf water and aquifer water inrush, etc.

[0033] The monitoring module is used for collecting each hydrogeological data of each key area in real time, and judging the possibility of water disaster in the mine according to each hydrogeological data of each key area, and when the possibility of water disaster in the mine is high, warning is performed, and the analysis module is executed.

[0034] It should be noted that each hydrogeological data includes porosity, permeability, specific yield and each water quality data of groundwater, etc.

[0035] In a specific embodiment, the process of judging the possibility of water disaster in the mine is as follows: S11, installing a sensor in each key area of the mine, and using the sensor to collect each hydrogeological data of each key area in real time.

[0036] It should be noted that the key area includes a mining working face, a goaf, an observation hole and an abandoned roadway, etc.

[0037] S12, obtaining each hydrogeological data of each key area in the mine when each time of water disaster occurs in the mine from the database, and comparing and selecting the minimum value of each hydrogeological data as the warning value of each hydrogeological data.

[0038] S13, analyzing the water disaster occurrence possibility index of the mine according to each hydrogeological data of each key area and the warning value of each hydrogeological data, if the water disaster occurrence possibility index of the mine is 1, it represents that the possibility of water disaster in the mine is low, and if the water disaster occurrence possibility index of the mine is 0, it represents that the possibility of water disaster in the mine is high.

[0039] In the above, the process of analyzing the water disaster occurrence possibility index of the mine is as follows: the hydrogeological data of each key area and the warning value of each hydrogeological data are input into the overall analysis model and the individual analysis model, and the overall index return value and the individual index return value are output, which are respectively denoted as and when When the overall water level geological data of each key area is not higher than the early warning value, the mine water disaster occurrence possibility index is: When the overall water level geological data of each key area is higher than the early warning value, the mine water disaster occurrence possibility index is: When the deviation degree of the hydrogeological data of each key area from the hydrogeological data early warning value is low, the mine water disaster occurrence possibility index is: When the deviation degree of the hydrogeological data of a certain key area from the hydrogeological data early warning value is high, the mine water disaster occurrence possibility index is:

[0040] ,

[0041] In the formula, the mine water disaster occurrence possibility index is:

[0042] It should be noted that the overall analysis model is:

[0043] ,

[0044] In the formula, the hydrogeological data value of the i-th key area is: the i-th hydrogeological data early warning value is: the overall index return value is: the number of each key area is: =1, 2, 3,..., , the total number of key areas is: the number of each hydrogeological data is: =1, 2, 3,..., , the total number of hydrogeological data is: , , and are positive integers.

[0045] It should also be noted that the individual analysis model is:

[0046] ,

[0047] In the formula, the individual index return value is: the preset difference threshold value is:

[0048] It should also be noted that the preset difference threshold value is set by the staff according to the hydrogeological data of each key area when the water disaster occurs and when the water disaster does not occur.

[0049] ​​​​​​The analysis module is configured to determine whether each key area is a water disaster occurrence point based on the hydrogeological data of each key area in the mine, and analyze the escape route of the worker according to the water disaster occurrence points in the mine.

[0050] In one specific embodiment, the determination of whether each key area is a water disaster occurrence point is performed according to the following procedure: obtaining the hydrogeological data of each key area, analyzing the correlation coefficient of each key area and water disaster based on the key hydrogeological data and the warning value of the hydrogeological data, and then:

[0051] ,

[0052] In the formula, represents the value of the i th hydrogeological data of the j th key area, represents the warning value of the i th hydrogeological data, represents the correlation coefficient of the j th key area and water disaster, represents the preset critical value threshold, represents a natural constant, represents the number of each key area, = 1, 2, 3,..., represents the total number of key areas, represents the number of each hydrogeological data, = 1, 2, 3,..., represents the total number of hydrogeological data, and a and b are positive integers. , , ,

[0053] It should be noted that the preset critical value threshold is set by the worker.

[0054] If the correlation coefficient of a key area and water disaster is 1, it means that the key area is a water disaster occurrence point, and if the correlation coefficient of a key area and water disaster is 0, it means that the key area is not a water disaster occurrence point. This method is used to determine whether each key area is a water disaster occurrence point.

[0055] ​​​​​​​​​​​​​​​​​​In another specific embodiment, the process of analyzing workers' escape routes is as follows: The location of each flood-affected point and the hydrogeological data of each flood-affected point in historical flood events are obtained and combined with the location of each flood-affected point and the hydrogeological data of the current flood event. The degree of fit between historical flood events and the current flood event is analyzed and compared. The historical flood event with the highest degree of fit is selected, and the escape routes of workers in that historical flood event are obtained. These escape routes are then used as the escape routes for workers when they hear the warning.

[0056] The above-mentioned analysis of the correlation between historical flood events and the current flood event is specifically carried out as follows: S21, cluster the locations of each flood occurrence point in each historical flood event and the locations of each flood occurrence point in the current flood event to obtain the flood occurrence areas in each historical flood event and the flood occurrence areas in the current flood event.

[0057] It should be noted that the coordinates of each flood-causing point are obtained, the distance between each flood-causing point is calculated and compared, and the maximum distance value and the two flood-causing points with the maximum distance are selected. The flood-causing area is planned with the maximum distance value as the diameter and the midpoint between the two flood-causing points as the center.

[0058] S22. Obtain the location and area of ​​the center point of the flood-affected area in each historical flood event, and the location and area of ​​the center point of the flood-affected area in this current flood event. Then:

[0059] ,

[0060] In the formula Representing history The coordinates of the center point of the flood-affected area in this flood event. This represents the coordinates of the center point of the flood-affected area in this flood event. Representing history The first flood-affected area in the second flood event Hydrogeological data, The first area representing the flood-affected region in this flood event Hydrogeological data, Represents the natural constant. Representing history The degree of correlation between previous flood events and this flood event. The numbers representing various historical flood events. =1,2,3,..., , Represents the total number of historical flood events. The number representing each hydrogeological data point, =1,2,3,..., , representing the total number of hydrogeology, , , and are positive integers.

[0061] The decision-making module is used to obtain each rescue tunnel, and set the priority coefficient of each rescue tunnel and the passing coefficient of each tunnel according to the information of each tunnel in the mine, combine the priority coefficient of each rescue tunnel and the passing coefficient of each tunnel, and plan an optimal rescue route, and the specific process is as follows: S31, input the hydrogeological data of each water disaster point into the mine water permeation spreading model, output the predicted flooded area, the water flow velocity of each tunnel, the water level of each tunnel and the water level change rate of each tunnel, and use a sensor to collect the oxygen concentration of each tunnel.

[0062] S32, obtain each tunnel and the position of each worker through which the worker escape route passes, compare the position of each worker with the range covered by each tunnel in the mine, if the position of one or more workers is within the range covered by a tunnel, it means that there is a worker in the tunnel, and in this way, it is determined whether there is a worker in each tunnel, and each tunnel with a worker and each tunnel through which the escape route passes is referred to as each rescue tunnel.

[0063] S33, obtain the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each rescue tunnel, and analyze the priority coefficient of each rescue tunnel.

[0064] S34, obtain the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each tunnel, and analyze the passing coefficient of each tunnel.

[0065] S35, set the path selection rule according to the passing coefficient of each tunnel and the priority coefficient of each rescue tunnel, and use the optimal path planning algorithm to plan an optimal rescue route according to the set path selection rule.

[0066] It should be noted that the priority coefficient of each rescue tunnel is used as the search priority of the corresponding edge in the topological graph, and the optimal path algorithm plans the rescue route on the topological graph according to the set path selection rule.

[0067] In a specific embodiment, the analysis of the priority coefficient of each rescue tunnel has the following specific process: obtain the flooded area and set the flooded return value for each rescue tunnel, denoted as , wherein represents the number of each rescue tunnel, =1, 2, 3,..., , represents the total number of rescue tunnels, and All are positive integers. Compare the area covered by each rescue tunnel with the flooded area. If the... If the area covered by one of the rescue tunnels overlaps with the flooded area, then... If the first If the area covered by each rescue tunnel does not overlap with the flooded area, then .

[0068] Obtain the water flow velocity, water level, water level change rate, oxygen concentration, and flood return value for each rescue tunnel. Normalize the water flow velocity, water level, water level change rate, and oxygen concentration according to the analysis formula: Get the first Priority coefficient of each rescue tunnel In the formula Representing the The water flow speed in the rescue alleyway Representing the The water level in the rescue alleyway Representing the Water level change rate in each rescue tunnel Representing the Oxygen concentration in the rescue tunnel Represents the natural constant.

[0069] In another specific embodiment, the process of analyzing the traffic coefficient of each roadway is as follows: Obtain the flooded area and set a flood return value for each roadway, denoted as... ,in The numbers representing the lanes, =1,2,3,..., , Represents the total number of alleyways. and All are positive integers. Comparing the area covered by each alleyway with the flooded area, if the... If the area covered by a lane overlaps with the flooded area, then If the first If the area covered by each alleyway does not overlap with the flooded area, then .

[0070] Obtain the water flow velocity, water level, water level variability, oxygen concentration, and flood return value for each tunnel. Normalize the water flow velocity, water level, water level variability, and oxygen concentration according to the analysis formula: Get the first Traffic coefficient of each alleyway In the formula Representing the The water flow speed in the rescue alleyway Representing the water level of the rescue tunnel, representing the first water level change rate of the rescue tunnel, representing the first oxygen concentration of the rescue tunnel, representing a natural constant.

[0071] In another specific embodiment, the selection rule of the setting path is specifically as follows: S41, each rescue tunnel is numbered in the order from high to low according to the priority coefficient.

[0072] S42, the rescue route is planned from the exit position of the mine, the exit position of the mine is taken as an initial node, and the rescue tunnel numbered 1 is searched, after the rescue tunnel is searched, each tunnel between the exit position of the mine and the rescue tunnel is obtained, and is randomly combined into several sub-rescue routes, the passing coefficients of each tunnel on each sub-rescue route are added to obtain the passing coefficient of each sub-rescue route, the passing coefficients of each sub-rescue route are compared, and the sub-rescue route with the largest passing coefficient is selected as the rescue route of the rescue tunnel.

[0073] S43, the rescue tunnel numbered 1 is taken as an initial point, and the rescue tunnel numbered 2 is searched, after the rescue tunnel is searched, the rescue route of the tunnel is planned according to step S42.

[0074] According to steps S42-S43, the rescue routes between each rescue tunnel are planned, and the rescue routes between each rescue tunnel are integrated to obtain the rescue route of the mine.

[0075] The database is used for storing each hydrogeological data of each key area, each water disaster occurrence point and the escape route of the worker in each historical water disaster event of the mine.

[0076] The early warning terminal is used for early warning when the possibility of water disaster of the mine is high.

[0077] The embodiment of the present application constructs a tunnel model and a mine water permeation spreading model according to each information in the mine, collects each hydrogeological data of each key area in the mine in real time, judges the possibility of water disaster of the mine, if the possibility is high, analyzes each water disaster occurrence point and the escape route of the worker, and simulates the water disaster by using the mine water permeation spreading model, and formulates the rescue route according to the simulation result and the escape route of the worker, which increases the rescue time, guarantees the real-time of each data and the effectiveness of the rescue route, and improves the success rate of rescue.

[0078] The above merely illustrates and describes the concept of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or adopt similar ways to replace, as long as the modifications or supplements do not deviate from the concept of the present application or exceed the scope defined by the specification, and the modifications or supplements shall belong to the protection scope of the present application.

Claims

1. An emergency rescue decision system for simulating mine water disaster, characterized in that, Comprise the following modules: The data acquisition module is used for acquiring the intersection positions of each roadway in the mine, the mine outlet position and the positions of each roadway and establishing a roadway model, and abstracting the roadway model into a topological graph; The model establishment module is used for establishing a mine water infiltration spreading model in combination with the SWMM model, and the specific process is as follows: firstly, information in the mine is collected, processed and converted, then the mine is divided into a plurality of sub-basins according to the mine roadway layout and the water flow path, then each roadway is regarded as a pipe system in the SWMM model, the properties of the pipe are set according to the actual situation of each roadway, secondly, the water infiltration point is defined as a source in the model, and the flow and head parameters of the source are set according to the water quantity and water pressure of the water infiltration, finally, the data of historical water disaster events or field measured data are used to calibrate the parameters in the model, and the model is optimized; The monitoring module is used for real-time acquisition of each hydrogeological data of each key area, and judging the possibility of water disaster in the mine according to each hydrogeological data of each key area, when the possibility of water disaster in the mine is high, the analysis module is performed for early warning; The analysis module is used for judging whether each key area is a water disaster occurrence point based on each hydrogeological data of each key area in the mine, and analyzing the escape route of the worker according to each water disaster occurrence point in the mine; The decision-making module is used for acquiring each rescue roadway, and setting the priority coefficient of each rescue roadway and the passing coefficient of each roadway according to the information of each roadway in the mine, combining the priority coefficient of each rescue roadway and the passing coefficient of each roadway to plan an optimal rescue route, and the specific process is as follows: S31, inputting each hydrogeological data of each water disaster occurrence point into the mine water infiltration spreading model, outputting the predicted flooded area, the water flow velocity of each roadway, the water level of each roadway and the water level change rate of each roadway, and using a sensor to collect the oxygen concentration of each roadway; S32, acquiring each roadway and each position of the worker through which the escape route of the worker passes, comparing each position of the worker with the range covered by each roadway in the mine, if one or more positions of the worker are in the range covered by a roadway, it means that there is a worker in the roadway, and in this way, whether each roadway has a worker is judged, and each roadway with a worker and each roadway through which the escape route passes is called each rescue roadway; S33, acquiring the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each rescue roadway, and analyzing the priority coefficient of each rescue roadway; S34, acquiring the flooded area, the water flow velocity, the water level, the water level change rate and the oxygen concentration of each roadway, and analyzing the passing coefficient of each roadway; S35, setting the path selection rule according to the passing coefficient of each roadway and the priority coefficient of each rescue roadway, using an optimal path planning algorithm to plan an optimal rescue route according to the set path selection rule; The database is used for storing each hydrogeological data of each key area, each water disaster occurrence point and the escape route of the worker in each historical water disaster event in the mine; The early warning terminal is used for early warning when the possibility of water disaster in the mine is high.

2. The emergency rescue decision system for simulating mine water disaster according to claim 1, characterized in that, The specific process of judging the possibility of water disaster in the mine is as follows: S11, install sensors in each key area of the mine, and use the sensors to collect hydrogeological data of each key area in real time; S12, obtain the hydrogeological data of each key area in the mine during each historical water disaster from the database, and compare them to select the minimum value of each hydrogeological data as the early warning value of each hydrogeological data; S13, analyze the mine water disaster occurrence possibility index according to the hydrogeological data of each key area and the early warning value of each hydrogeological data, if the mine water disaster occurrence possibility index is 1, it represents that the possibility of mine water disaster is low, if the mine water disaster occurrence possibility index is 0, it represents that the possibility of mine water disaster is high.

3. The emergency rescue decision system for simulating mine water disaster according to claim 2, characterized in that, The specific process of analyzing the mine water disaster occurrence possibility index is as follows: The hydrogeological data of each key area and the early warning value of each hydrogeological data are input into the overall analysis model and the individual analysis model, and the overall index return value and the individual index return value are output, respectively denoted as and , when , it represents that the overall of each water level geological data of each key area is not higher than the early warning value, when , it represents that the overall of each water level geological data of each key area is higher than the early warning value, when , it represents that the deviation degree of each hydrogeological data of each key area and the early warning value of each hydrogeological data is low, and when , it represents that the deviation degree of the hydrogeological data of a certain key area and the early warning value of the hydrogeological data is high, then: ， In the formula represents the possibility of mine water disaster.

4. The emergency rescue decision system for simulating mine water disaster according to claim 1, characterized in that, The specific process of judging whether each key area is a water disaster occurrence point is as follows: Obtain the hydrogeological data of each key area, analyze the correlation coefficient of each key area and water disaster according to the key hydrogeological data and the early warning value of each hydrogeological data, then: ， In the formula represent the first hydrogeological data value of the key area, represent the first hydrogeological data early warning value, represent the first correlation coefficient of the key area and water disaster, represent the first preset critical value threshold, represent the natural constant, represent the number of each key area, =1,2,3,..., , represent the total number of key areas, represent the number of each hydrogeological data, =1,2,3,..., , represent the total number of hydrogeological data, , , and are positive integers; If the correlation coefficient of a key area and water disaster is 1, it represents that the key area is a water disaster occurrence point, if the correlation coefficient of a key area and water disaster is 0, it represents that the key area is not a water disaster occurrence point, so as to judge whether each key area is a water disaster occurrence point.

5. The emergency rescue decision system for simulating mine water disaster according to claim 1, characterized in that, The specific process of analyzing the escape route of workers is as follows: Obtain the position of each water disaster occurrence point and the hydrogeological data of each water disaster occurrence point in each historical water disaster event, combine them with the position of each water disaster occurrence point and the hydrogeological data of each water disaster occurrence point in this water disaster event, analyze the coincidence degree of historical water disaster events and this water disaster event, compare them to select the historical water disaster event with the highest coincidence degree, obtain the escape route of workers in the historical water disaster event, and take the escape route as the escape route of workers when hearing the early warning.

6. The emergency rescue decision system for simulating mine water disaster according to claim 5, characterized in that, The specific process of analyzing the coincidence degree of historical water disaster events and this water disaster event is as follows: S21, cluster the position of each water disaster occurrence point in historical water disaster events and the position of each water disaster occurrence point in this water disaster event to obtain the water disaster occurrence area in historical water disaster events and the water disaster occurrence area in this water disaster event; S22, obtain the center point position and area of the water disaster occurrence area in historical water disaster events, and the center point position and area of the water disaster occurrence area in this water disaster event, then: ， In the formula representing the center point coordinates of the water disaster occurrence area in the historical water disaster event, representing the center point coordinates of the water disaster occurrence area in this water disaster event, representing the center point coordinates of the water disaster occurrence area in the historical water disaster event, representing the hydrogeological data of the water disaster occurrence area in this water disaster event, representing the hydrogeological data of the water disaster occurrence area in this water disaster event, representing a natural constant, representing the degree of fit between the historical water disaster event and this water disaster event, representing the number of historical water disaster events, = 1, 2, 3, …, , representing the total number of historical water disaster events, representing the number of hydrogeological data, = 1, 2, 3, …, representing the total number of hydrogeological data, , , and are all positive integers.

7. The emergency rescue decision system for simulating mine water disaster according to claim 1, characterized in that, The specific process of analyzing the priority coefficient of each rescue roadway is as follows: The submerged area is obtained and the submerged return value is set for each rescue tunnel, denoted as wherein represents the number of each rescue tunnel, =1, 2, 3,..., , represents the total number of rescue tunnels, and are positive integers, the range covered by each rescue tunnel is compared with the submerged area, if the range covered by the i-th rescue tunnel overlaps with the submerged area, then , if the range covered by the i-th rescue tunnel does not overlap with the submerged area, then ;​​ Obtain the water flow velocity, water level, water level change rate, oxygen concentration, and flood return value for each rescue tunnel. Normalize the water flow velocity, water level, water level change rate, and oxygen concentration according to the analysis formula: Get the first Priority coefficient of each rescue lane In the formula Representing the The water flow speed in the rescue alleyway Representing the The water level in the rescue alleyway Representing the Water level change rate in each rescue tunnel Representing the Oxygen concentration in the rescue tunnel Represents the natural constant.

8. The emergency rescue decision system for simulating mine water disaster of claim 1, wherein, The specific process of analyzing the passing coefficient of each roadway is as follows: obtaining the submerged area and setting the submerged return value for each roadway, denoted as wherein represents the number of each roadway, =1, 2, 3,..., , represents the total number of roadways, and are positive integers, comparing the range covered by each roadway with the submerged area, if the range covered by the th roadway has overlap with the submerged area, then , if the range covered by the th roadway has no overlap with the submerged area, then ; Obtain the water flow velocity, water level, water level variability, oxygen concentration, and flood return value for each tunnel. Normalize the water flow velocity, water level, water level variability, and oxygen concentration according to the analysis formula: Get the first Traffic coefficient of each alleyway In the formula Representing the The water flow speed in the rescue alleyway Representing the The water level in the rescue alleyway Representing the Water level change rate in each rescue tunnel Representing the Oxygen concentration in the rescue tunnel Represents the natural constant.

9. The emergency rescue decision system for simulating mine water disaster of claim 1, wherein, The specific process of setting the selection rule of the path is as follows: S41, number each rescue roadway according to the order from high to low of the priority coefficient; S42, starting from the exit position of the mine, planning a rescue route, taking the exit position of the mine as the initial node, searching for a rescue roadway numbered 1, after searching for the rescue roadway, obtaining each roadway between the exit position of the mine and the rescue roadway, and randomly combining them into several sub-rescue routes, adding the passing coefficients of each roadway on each sub-rescue route to obtain the passing coefficient of each sub-rescue route, comparing the passing coefficients of each sub-rescue route, and selecting the sub-rescue route with the largest passing coefficient as the rescue route of the rescue roadway; S43, taking the rescue roadway numbered 1 as the initial point, and searching for a rescue roadway numbered 2, after searching for the rescue roadway, planning a rescue route for the roadway according to step S42; According to steps S42-S43, the rescue routes between the rescue roadways are planned, and the rescue routes between the rescue roadways are integrated to obtain the rescue route of the mine.

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