An intelligent management system for coal mine production safety

Abstract

The invention discloses an intelligent management system for coal mine production safety, and relates to the technical field of safety management. The invention comprises: a coal mine inspection module, a coal mine gas hazard analysis module, a coal mine flood early warning module, a coal mine safety processing module and a local database. The invention monitors the inside of the coal mine by using a drone, and uses an infrared range-finding sensor to map the inside of the coal mine, so as to accurately monitor the change of mine pressure, improve the accuracy of coal mine pressure monitoring, analyze the dust concentration and gas concentration in the coal mine according to the mine pressure and the physical condition of the staff, so as to improve the safety of the coal mine working environment, analyze the sudden threat coefficient of floods of each monitoring point belonging to the coal mine separately, merge the threatening monitoring points into a monitoring section, and estimate the monitoring point that is most likely to be a leak in the monitoring section, so as to ensure that maintenance personnel can quickly locate the leak in the coal mine, and improve the production efficiency of the coal mine.

Description

Technical Field

[0001] The present invention relates to the technical field of safety management, and in particular to an intelligent management system for coal mine production safety. Background Art

[0002] With the continuous development of science and technology, intelligent technology can realize real-time collection and analysis of various data in the coal mine production process. Through the analysis of data, safety hazards can be discovered in time, and corresponding measures can be taken for early warning and processing to reduce the risk of personnel working in dangerous environments. Therefore, it is very necessary to carry out intelligent management of coal mine production safety.

[0003] Prior art, such as the invention patent application with announcement number: CN118822198A, discloses an intelligent monitoring and management system for coal mine production, which system includes: the monitoring and management system includes real-time monitoring, information management, business flow automation, knowledge modeling, and intelligent decision-making. The intelligent monitoring and management system for coal mine production can accurately control the operating status of production equipment and realize the automation and intelligence of the production process by real-time monitoring of various parameters and indicators in the coal mine production process. By real-time monitoring of the coal mine production environment, it can timely discover and warn potential safety hazards, such as excessive gas concentration and equipment failure. The system can automatically start the emergency response process to reduce the possibility of accidents. The system can also monitor the location and status of coal miners in real time to ensure the safety of workers.

[0004] The prior art, such as the invention patent application with announcement number: CN114137925B, discloses an intelligent management system for coal mine production safety, and the method includes: a terminal server, a remote control platform, a mobile terminal and a monitoring terminal; the terminal server includes a data storage module and a GIS model module, and the remote control platform includes a data analysis module and an automatic repair module; the number of mobile terminals is multiple. The purpose of this invention is to provide an intelligent management system for coal mine production safety, which can run automatically, reduce manpower input, and thus ensure the production progress of the coal mine and the personal safety of the staff.

[0005] It can be seen from the above scheme that the current intelligent management system for coal mine production safety lacks certain attention to the use of drones to monitor coal mine pressure and conduct subsequent dust and gas hazard analysis based on this. Mine pressure refers to the deformation and destruction of coal rock mass under the action of rock formation pressure. The traditional mine pressure monitoring method cannot timely and effectively transmit the rock wall deformation inside the coal mine back to the terminal. At the same time, the monitoring equipment is prone to failure due to rock wall pressure, thereby reducing the accuracy of coal mine pressure monitoring. In addition, the hazards of dust concentration and gas concentration under different mine pressures are not consistent. If there is no dynamic analysis based on mine pressure, the safety of the coal mine working environment will be reduced. At the same time, there is a lack of attention to the hazard analysis of floods in coal mines. Coal mines are sometimes close to groundwater. Under the infiltration of groundwater, if the leak is not remedied, it will cause the coal mine to be unable to work, thereby reducing the production efficiency of the coal mine. Summary of the invention

[0006] The purpose of the present invention is to provide a coal mine production safety intelligent management system that solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent management system for coal mine production safety, including: a coal mine inspection module, which is used to control drones to conduct safety inspections on various monitoring points belonging to the coal mine, and analyze the mine pressure hazard coefficients of various monitoring points belonging to the coal mine.

[0008] The coal mine gas hazard analysis module is used to obtain the staff members in each monitoring section of the coal mine during the target working time period, evaluate the dust pollution threat coefficient of each monitoring section of the coal mine, analyze the gas explosion alarm coefficient of each monitoring section of the coal mine, and screen the dust hazard monitoring sections and gas hazard monitoring sections of the coal mine.

[0009] The coal mine flood warning module is used to analyze the sudden flood threat coefficient of each monitoring point belonging to the coal mine and screen the flood prevention monitoring points belonging to the coal mine.

[0010] The coal mine safety processing module is used to screen the reinforced monitoring points belonging to the coal mine, send the flood prevention monitoring points and reinforced monitoring points belonging to the coal mine to the coal mine safety manager, analyze the solutions for the dust hazard monitoring sections and gas hazard monitoring sections belonging to the coal mine, and send them to the coal mine terminal for adjustment.

[0011] The beneficial effects of the present invention are as follows: (1) The coal mine inspection module of the present invention monitors the coal mine through an unmanned aerial vehicle and uses an infrared ranging sensor to map the coal mine, thereby ensuring that the changes in the rock wall in the coal mine can be accurately identified, thereby accurately monitoring the changes in the mine pressure and improving the accuracy of the coal mine pressure monitoring. (2) The coal mine gas hazard analysis module of the present invention analyzes the dust concentration and gas concentration in the coal mine according to the mine pressure and the physical condition of the workers, thereby improving the safety of the coal mine working environment. (3) The coal mine flood early warning module of the present invention divides a long coal mine into independent points, analyzes the sudden threat coefficient of floods at each monitoring point belonging to the coal mine separately, then merges the threatening monitoring points into monitoring sections, and estimates the monitoring points that are most likely to be leaking in the monitoring sections, thereby ensuring that the maintenance personnel can quickly locate the leaking points in the coal mine, reducing the workload of the maintenance personnel and reducing the incidence of problems that cannot be worked in the coal mine, thereby improving the production efficiency of the coal mine. (4) The coal mine safety processing module of the present invention sends data to the coal mine terminal and the person in charge of the coal mine, thereby facilitating work adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0014] 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.

[0015] Reference Figure 1 As shown, the present invention provides a coal mine production safety intelligent management system, including: a coal mine inspection module, a coal mine gas hazard analysis module, a coal mine flood warning module, a coal mine safety processing module and a local database.

[0016] It should be noted that the coal mine inspection module is connected to the coal mine gas hazard analysis module, the coal mine gas hazard analysis module is connected to the coal mine flood warning module, the coal mine flood warning module is connected to the coal mine safety processing module, and the local database is connected to the coal mine inspection module, the coal mine gas hazard analysis module, the coal mine flood warning module, and the coal mine safety processing module.

[0017] It should also be noted that the local database is used to store inspection flight altitudes, initial wall distance values ​​in various directions of each monitoring point belonging to the coal mine, symmetrical directions and initial wall distance values ​​corresponding to various directions of each monitoring point belonging to the coal mine, each monitoring point in each monitoring section of the coal mine, suitable dust concentration values ​​corresponding to each total mine pressure hazard coefficient interval, gas explosion alarm coefficient threshold drop values ​​corresponding to each dust pollution threat coefficient interval, suitable gas concentration values ​​corresponding to each total mine pressure hazard coefficient interval, initial dust pollution threat coefficient threshold and gas explosion alarm coefficient threshold, medical records of each staff member belonging to the coal mine, initial dust pollution threat coefficient adjustment parameter values ​​corresponding to each medical record, maximum allowable water flow decibel value and maximum allowable humidity value for each monitoring point belonging to the coal mine, sudden flood threat coefficient threshold, mine pressure hazard coefficient threshold, and fan adjustment target power corresponding to each dust pollution threat coefficient interval.

[0018] The coal mine inspection module is used to control the drone to conduct safety inspections on various monitoring points belonging to the coal mine and analyze the mine pressure hazard coefficients of various monitoring points belonging to the coal mine.

[0019] In a specific embodiment of the present invention, the specific inspection method for conducting safety inspections is as follows: obtaining the inspection flight altitude from a local database, controlling the drone to fly at a ground inspection flight altitude from each monitoring point belonging to the coal mine at a target time point, and obtaining the dust concentration value, gas concentration value, soundprint characteristics, humidity value and wall distance value in each direction of each monitoring point belonging to the coal mine.

[0020] In a specific embodiment, the dust concentration value, gas concentration value, voiceprint feature, humidity value and wall distance value in each direction of each monitoring point belonging to the coal mine are obtained by the following specific acquisition method: the dust concentration value of each monitoring point belonging to the coal mine is obtained from the dust sensor carried by the drone, the gas concentration value of each monitoring point belonging to the coal mine is obtained from the gas concentration sensor carried by the drone, the voiceprint feature of each monitoring point belonging to the coal mine is obtained by the capacitive voiceprint sensor carried by the drone, the humidity value of each monitoring point belonging to the coal mine is obtained by the humidity sensor carried by the drone, and the wall distance value in each direction of each monitoring point belonging to the coal mine is obtained by the infrared ranging sensor carried by the drone.

[0021] In a specific embodiment of the present invention, the analysis of the mine pressure hazard coefficient of each monitoring point of the coal mine is carried out by obtaining the initial distance value of the wall in each direction of each monitoring point of the coal mine from the local database. , based on the wall distance values ​​in each direction of each monitoring point in the coal mine , where x represents the number of each monitoring point, , y is a positive integer greater than 2, n represents the number of each direction, , m is a positive integer greater than 2, calculate the wall deviation hazard coefficient in each direction of each monitoring point in the coal mine , and calculate the overall deformation threat coefficient of each monitoring point in the coal mine .

[0022] Calculate the mine pressure hazard coefficient of each monitoring point in the coal mine .

[0023] In a specific embodiment of the present invention, the overall deformation threat coefficient of each monitoring point of the coal mine is calculated by: obtaining the symmetric direction and the initial distance value of the wall corresponding to each direction of each monitoring point of the coal mine from the local database. , based on the wall distance values ​​in each direction of each monitoring point in the coal mine , extract the wall distance value in each direction of the symmetric direction of each monitoring point in the coal mine .

[0024] Based on the initial distance values ​​of the walls in each direction of each monitoring point in the coal mine , calculate the overall deformation threat coefficient of each monitoring point in the coal mine , where e is represented by a natural constant.

[0025] The coal mine inspection module of the present invention monitors the coal mine through a drone and uses an infrared ranging sensor to map the coal mine, ensuring that changes in the rock walls in the coal mine can be accurately identified, thereby accurately monitoring changes in mine pressure and improving the accuracy of coal mine pressure monitoring.

[0026] The coal mine gas hazard analysis module is used to obtain the staff members in each monitoring section of the coal mine during the target working time period, evaluate the dust pollution threat coefficient of each monitoring section of the coal mine, analyze the gas explosion alarm coefficient of each monitoring section of the coal mine, and screen the dust hazard monitoring sections and gas hazard monitoring sections of the coal mine.

[0027] In a specific embodiment, the method for obtaining each staff member in each monitoring section of the coal mine within the target working time period is as follows: obtaining each staff member in each monitoring section of the coal mine within the target working time period from a work schedule.

[0028] In a specific embodiment of the present invention, the dust pollution threat coefficient of each monitoring section belonging to a coal mine is evaluated by a specific evaluation method as follows: each monitoring point of each monitoring section belonging to the coal mine is obtained from a local database, and based on the mine pressure hazard coefficient of each monitoring point belonging to the coal mine, the mine pressure hazard coefficient of each monitoring point of each monitoring section belonging to the coal mine is extracted, and the total mine pressure hazard coefficient of each monitoring section belonging to the coal mine is obtained by accumulating the coefficients.

[0029] Obtain the appropriate dust concentration value corresponding to each total mine pressure hazard coefficient interval from the local database, and map it to obtain the appropriate dust concentration value of each monitoring section of the coal mine , where i represents the number of each monitoring section, , j is a positive integer greater than 2.

[0030] It should be noted that the greater the total mine pressure hazard coefficient, the smaller the suitable dust concentration value.

[0031] According to the dust concentration values ​​of each monitoring point in the coal mine, the dust concentration values ​​of each monitoring point in each monitoring section of the coal mine are extracted. .

[0032] Calculate the dust pollution threat coefficient of each monitoring section of the coal mine .

[0033] In a specific embodiment of the present invention, the gas explosion alarm coefficient of each monitoring section of the coal mine is analyzed, and the specific analysis method is as follows: the gas explosion alarm coefficient threshold drop value corresponding to each dust pollution threat coefficient interval is obtained from the local database, and the appropriate gas concentration value drop value of each monitoring section of the coal mine is mapped according to the dust pollution threat coefficient of each monitoring section of the coal mine. .

[0034] It should be noted that the greater the dust pollution threat coefficient, the greater the decrease in the gas explosion alarm coefficient threshold.

[0035] Obtain the appropriate gas concentration value corresponding to each total mine pressure hazard coefficient interval from the local database, and map the appropriate gas concentration value of each monitoring section of the coal mine according to the total mine pressure hazard coefficient of each monitoring section of the coal mine. .

[0036] It should be noted that the greater the total mine pressure hazard coefficient, the smaller the suitable gas concentration value.

[0037] According to the gas concentration values ​​of each monitoring point in the coal mine, extract the gas concentration values ​​of each monitoring point in each monitoring section of the coal mine .

[0038] Calculate the gas explosion alarm coefficient of each monitoring section in the coal mine ,in Greater than 0.

[0039] In a specific embodiment of the present invention, the specific screening method for screening each dust hazard monitoring section and each gas hazard monitoring section belonging to the coal mine is: obtaining an initial dust pollution threat coefficient threshold A and a gas explosion alarm coefficient threshold from a local database.

[0040] The medical records of each staff member of the coal mine and the initial dust pollution threat coefficient adjustment parameter values ​​corresponding to each medical record are obtained from the local database, the initial dust pollution threat coefficient adjustment parameter values ​​corresponding to each medical record of each staff member of the coal mine are mapped, and the total initial dust pollution threat coefficient adjustment parameter values ​​of each staff member of the coal mine are counted.

[0041] According to the staff in each monitoring section of the coal mine, the total initial dust pollution threat coefficient adjustment parameter value of each staff in each monitoring section of the coal mine is extracted , where p represents the number of each staff member, , q is a positive integer greater than 2.

[0042] Calculate the dust pollution threat coefficient threshold of each monitoring section of the coal mine .

[0043] If the dust pollution threat coefficient of a monitoring section belonging to a coal mine is greater than the corresponding dust pollution threat coefficient threshold, the monitoring section is marked as a dust hazard monitoring section, thereby screening the dust hazard monitoring sections belonging to the coal mine.

[0044] If the gas explosion alarm coefficient of a monitoring section belonging to the coal mine is greater than the gas explosion alarm coefficient threshold, the monitoring section is marked as a gas hazard monitoring section, thereby screening the gas hazard monitoring sections belonging to the coal mine.

[0045] The coal mine gas hazard analysis module of the present invention analyzes the dust concentration and gas concentration in the coal mine according to the mine pressure and the physical condition of the workers, thereby improving the safety of the coal mine working environment.

[0046] The coal mine flood warning module is used to analyze the sudden flood threat coefficient of each monitoring point belonging to the coal mine and screen the flood prevention monitoring points belonging to the coal mine.

[0047] In a specific embodiment of the present invention, the sudden flood threat coefficient of each monitoring point of the coal mine is analyzed by a specific analysis method: based on the voiceprint characteristics of each monitoring point of the coal mine, the decibel value of the water flow sound at each monitoring point of the coal mine is obtained by a water sound capture method. .

[0048] In a specific embodiment, the decibel value of the water flow sound at each monitoring point in the coal mine is obtained by the following specific method: the existing water sound capture method is relatively mature, and the decibel value of the water flow sound at each monitoring point in the coal mine can be obtained by the existing water sound capture method.

[0049] Get the maximum value of water flow decibel allowed at each monitoring point in the coal mine from the local database and maximum allowable humidity , based on the humidity values ​​of each monitoring point in the coal mine , calculate the flood threat coefficient of each monitoring point in the coal mine .

[0050] In a specific embodiment of the present invention, the specific screening method for screening the flood prevention monitoring points belonging to the coal mine is: obtaining a threshold value of a sudden flood threat coefficient from a local database, and if the sudden flood threat coefficient of a monitoring point belonging to the coal mine is greater than the threshold value of the sudden flood threat coefficient, then marking the monitoring point as an analysis monitoring point, thereby screening the analysis monitoring points belonging to the coal mine.

[0051] If the number of a certain analysis and monitoring point belonging to the coal mine is not connected with the numbers of other analysis and monitoring points, the analysis and monitoring point will be marked as a flood prevention monitoring point.

[0052] The analysis and monitoring points connected with the coal mine numbers are merged into one analysis and monitoring section, so as to screen the analysis and monitoring sections to which the coal mine belongs. According to the sudden flood threat coefficient of each monitoring point to which the coal mine belongs, the sudden flood threat coefficient of each monitoring point in each analysis and monitoring section to which the coal mine belongs is extracted, and the monitoring point with the highest sudden flood threat coefficient in each analysis and monitoring section to which the coal mine belongs is marked as a flood prevention monitoring point.

[0053] Summarize the flood prevention monitoring points of the coal mine.

[0054] The coal mine flood warning module of the present invention divides a relatively long coal mine into independent points, analyzes the sudden flood threat coefficient of each monitoring point belonging to the coal mine separately, then merges the threatening monitoring points into monitoring sections, and estimates the monitoring points most likely to be leaking points in the monitoring sections, thereby ensuring that maintenance personnel can quickly locate the leaking points in the coal mine, reducing the workload of maintenance personnel and reducing the occurrence rate of problems that cannot be worked in the coal mine, thereby improving the production efficiency of the coal mine.

[0055] The coal mine safety processing module is used to screen the reinforced monitoring points belonging to the coal mine, send the flood prevention monitoring points and reinforced monitoring points belonging to the coal mine to the coal mine safety manager, analyze the solutions for the dust hazard monitoring sections and gas hazard monitoring sections belonging to the coal mine, and send them to the coal mine terminal for adjustment.

[0056] In a specific embodiment, the specific screening method for screening the reinforced monitoring points belonging to the coal mine is: obtaining a mine pressure hazard coefficient threshold from a local database, if the mine pressure hazard coefficient of a monitoring point belonging to the coal mine is greater than the mine pressure hazard coefficient threshold, then marking the monitoring point as a reinforced monitoring point, thereby screening the reinforced monitoring points belonging to the coal mine.

[0057] In a specific embodiment of the present invention, the solution for analyzing each dust hazard monitoring section and each gas hazard monitoring section belonging to a coal mine is analyzed by the following specific analysis method: based on the dust pollution threat coefficient of each monitoring section belonging to the coal mine, the dust pollution threat coefficient of each dust hazard monitoring section belonging to the coal mine is extracted, and the fan adjustment target power corresponding to each dust pollution threat coefficient interval is obtained from the local database, and the fan dust reduction target power of each dust hazard monitoring section belonging to the coal mine is mapped and used as the solution for each dust hazard monitoring section belonging to the coal mine.

[0058] Similarly, the target power for reducing gas content of fans in each gas hazard monitoring section of the coal mine is obtained, and used as a solution for each gas hazard monitoring section of the coal mine.

[0059] If a monitoring section of a coal mine is both a gas hazard monitoring section and a dust hazard monitoring section, the fan dust reduction target power and the fan gas content reduction target power of the monitoring section will be analyzed, and the target power with a higher value will be used as the fan target adjustment power of the monitoring section, and used as a solution for each monitoring section of the coal mine.

[0060] The coal mine safety processing module of the present invention facilitates work adjustment by sending data to the coal mine terminal and the person in charge of the coal mine.

[0061] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A coal mine production safety intelligent management system, characterized in that: include: The coal mine inspection module is used to control the drone to conduct safety inspections at each monitoring point in the coal mine and analyze the mine pressure hazard coefficient at each monitoring point in the coal mine; The coal mine gas hazard analysis module is used to obtain the staff members in each monitoring section of the coal mine during the target working time period, evaluate the dust pollution threat coefficient of each monitoring section of the coal mine, analyze the gas explosion alarm coefficient of each monitoring section of the coal mine, and screen the dust hazard monitoring sections and gas hazard monitoring sections of the coal mine; The coal mine flood warning module is used to analyze the sudden threat coefficient of floods at each monitoring point in the coal mine and screen the flood prevention monitoring points in the coal mine; The coal mine safety processing module is used to screen the reinforced monitoring points belonging to the coal mine, send the flood prevention monitoring points and reinforced monitoring points belonging to the coal mine to the coal mine safety manager, analyze the solutions for the dust hazard monitoring sections and gas hazard monitoring sections belonging to the coal mine, and send them to the coal mine terminal for adjustment.

2. The intelligent management system for coal mine production safety according to claim 1, characterized in that: The specific inspection method for the safety inspection is as follows: The inspection flight altitude is obtained from the local database, and the drone is controlled to fly at the ground inspection flight altitude of each monitoring point of the coal mine at the target time point, and the dust concentration value, gas concentration value, soundprint characteristics, humidity value and wall distance value in each direction of each monitoring point of the coal mine are obtained.

3. The intelligent management system for coal mine production safety according to claim 1, characterized in that: The specific analysis method for analyzing the mine pressure hazard coefficient of each monitoring point in the coal mine is as follows: Obtain the initial distance values ​​of the walls in each direction of each monitoring point in the coal mine from the local database , based on the wall distance values ​​in each direction of each monitoring point in the coal mine , where x represents the number of each monitoring point, , y is a positive integer greater than 2, n represents the number of each direction, , m is a positive integer greater than 2, calculate the wall deviation hazard coefficient in each direction of each monitoring point in the coal mine , and calculate the overall deformation threat coefficient of each monitoring point in the coal mine ; Calculate the mine pressure hazard coefficient of each monitoring point in the coal mine .

4. The intelligent management system for coal mine production safety according to claim 3 is characterized in that: The specific calculation method of calculating the overall deformation threat coefficient of each monitoring point in the coal mine is as follows: Obtain the symmetric directions and initial distance values ​​of the walls corresponding to each direction of each monitoring point in the coal mine from the local database , based on the wall distance values ​​in each direction of each monitoring point in the coal mine , extract the wall distance value in each direction of the symmetric direction of each monitoring point in the coal mine ; Based on the initial distance values ​​of the walls in each direction of each monitoring point in the coal mine , calculate the overall deformation threat coefficient of each monitoring point in the coal mine , where e is represented by a natural constant.

5. The intelligent management system for coal mine production safety according to claim 3 is characterized in that: The specific evaluation method for evaluating the dust pollution threat coefficient of each monitoring section of the coal mine is as follows: Obtain each monitoring point of each monitoring section of the coal mine from the local database, extract the mine pressure hazard coefficient of each monitoring point of each monitoring section of the coal mine according to the mine pressure hazard coefficient of each monitoring point of the coal mine, and accumulate them to obtain the total mine pressure hazard coefficient of each monitoring section of the coal mine; Obtain the appropriate dust concentration value corresponding to each total mine pressure hazard coefficient interval from the local database, and map it to obtain the appropriate dust concentration value of each monitoring section of the coal mine , where i represents the number of each monitoring section, , j is a positive integer greater than 2; According to the dust concentration values ​​of each monitoring point in the coal mine, the dust concentration values ​​of each monitoring point in each monitoring section of the coal mine are extracted. ; Calculate the dust pollution threat coefficient of each monitoring section of the coal mine .

6. The intelligent management system for coal mine production safety according to claim 5, characterized in that: The specific analysis method for analyzing the gas explosion alarm coefficient of each monitoring section of the coal mine is as follows: Obtain the gas explosion alarm coefficient threshold drop value corresponding to each dust pollution threat coefficient interval from the local database, and map the appropriate gas concentration drop value of each monitoring section of the coal mine according to the dust pollution threat coefficient of each monitoring section of the coal mine. ; Obtain the appropriate gas concentration value corresponding to each total mine pressure hazard coefficient interval from the local database, and map the appropriate gas concentration value of each monitoring section of the coal mine according to the total mine pressure hazard coefficient of each monitoring section of the coal mine. ; According to the gas concentration values ​​of each monitoring point in the coal mine, extract the gas concentration values ​​of each monitoring point in each monitoring section of the coal mine ; Calculate the gas explosion alarm coefficient of each monitoring section in the coal mine ,in Greater than 0.

7. The intelligent management system for coal mine production safety according to claim 5, characterized in that: The specific screening method for screening each dust hazard monitoring section and each gas hazard monitoring section belonging to the coal mine is: Obtain the initial dust pollution threat coefficient threshold A and the gas explosion alarm coefficient threshold from the local database; Obtain the medical records of each staff member of the coal mine and the initial dust pollution threat coefficient adjustment parameter value corresponding to each medical record from the local database, map the initial dust pollution threat coefficient adjustment parameter value corresponding to each medical record of each staff member of the coal mine, and calculate the total initial dust pollution threat coefficient adjustment parameter value of each staff member of the coal mine; according to each staff member in each monitoring section of the coal mine, extract the total initial dust pollution threat coefficient adjustment parameter value of each staff member in each monitoring section of the coal mine , where p represents the number of each staff member, , q is a positive integer greater than 2; Calculate the dust pollution threat coefficient threshold of each monitoring section of the coal mine ; If the dust pollution threat coefficient of a monitoring section of a coal mine is greater than the corresponding dust pollution threat coefficient threshold, the monitoring section is marked as a dust hazard monitoring section, thereby screening the dust hazard monitoring sections of the coal mine; If the gas explosion alarm coefficient of a monitoring section belonging to the coal mine is greater than the gas explosion alarm coefficient threshold, the monitoring section is marked as a gas hazard monitoring section, thereby screening the gas hazard monitoring sections belonging to the coal mine.

8. The intelligent management system for coal mine production safety according to claim 3, characterized in that: The specific analysis method for analyzing the sudden flood threat coefficient of each monitoring point of the coal mine is as follows: According to the soundprint characteristics of each monitoring point in the coal mine, the decibel value of the water flow sound at each monitoring point in the coal mine is obtained through the method of water sound capture. ; Get the maximum value of water flow decibel allowed at each monitoring point in the coal mine from the local database and maximum allowable humidity , based on the humidity values ​​of each monitoring point in the coal mine , calculate the flood threat coefficient of each monitoring point in the coal mine .

9. The intelligent management system for coal mine production safety according to claim 1, characterized in that: The specific screening method for screening the flood prevention monitoring points belonging to the coal mine is as follows: Obtain a flood emergency threat coefficient threshold from a local database. If the flood emergency threat coefficient of a monitoring point belonging to a coal mine is greater than the flood emergency threat coefficient threshold, the monitoring point is marked as an analysis monitoring point, thereby screening the analysis monitoring points belonging to the coal mine; If the number of a certain analysis and monitoring point belonging to a coal mine is not connected with the numbers of other analysis and monitoring points, the analysis and monitoring point shall be marked as a flood prevention monitoring point; The analysis and monitoring points connected with the coal mine numbers are merged into one analysis and monitoring section, so as to screen the analysis and monitoring sections to which the coal mine belongs. According to the sudden threat coefficient of flood disasters at each monitoring point to which the coal mine belongs, the sudden threat coefficient of flood disasters at each monitoring point in each analysis and monitoring section to which the coal mine belongs is extracted, and the monitoring point with the highest sudden threat coefficient of flood disasters in each analysis and monitoring section to which the coal mine belongs is marked as a flood prevention monitoring point; Summarize the flood prevention monitoring points of the coal mine.

10. The intelligent management system for coal mine production safety according to claim 1, characterized in that: The specific analysis method of the solution for analyzing each dust hazard monitoring section and each gas hazard monitoring section of a coal mine is as follows: According to the dust pollution threat coefficient of each monitoring section of the coal mine, the dust pollution threat coefficient of each dust hazard monitoring section of the coal mine is extracted, and the fan adjustment target power corresponding to each dust pollution threat coefficient interval is obtained from the local database. The fan dust reduction target power of each dust hazard monitoring section of the coal mine is mapped and used as a solution for each dust hazard monitoring section of the coal mine; Similarly, the target power of the fans for reducing gas content in each gas hazard monitoring section of the coal mine is obtained, and it is used as a solution for each gas hazard monitoring section of the coal mine; If a monitoring section of a coal mine is both a gas hazard monitoring section and a dust hazard monitoring section, the fan dust reduction target power and the fan gas content reduction target power of the monitoring section will be analyzed, and the target power with a higher value will be used as the fan target adjustment power of the monitoring section, and used as a solution for each monitoring section of the coal mine.

Images