Disaster monitoring system, method and device based on coal rock charge signals

Abstract

The invention provides a disaster monitoring system, method and device based on coal rock charge signals. The system comprises a sensing module, an acquisition module, a preprocessing module and a data processing terminal. The sensing modules are installed at the positions of the anchor rods, the anchor cables and the like to monitor free charge signals generated by coal rock fracture, conditioning and filtering are carried out through the acquisition module, signal amplification and preprocessing are carried out through the preprocessing module, and finally risk prediction is carried out through the data processing terminal based on the charge monitoring result. According to the method, the coal rock deformation and damage risk is determined, corresponding measures are taken for early treatment, and the problem of low prediction result accuracy caused by poor sensitivity, stability and anti-interference performance of a monitoring and early warning technology under complex mine geological conditions in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of mine safety technology, and in particular to a disaster monitoring system based on coal-rock charge signals, a disaster monitoring method based on coal-rock charge signals, a disaster monitoring device based on coal-rock charge signals, and a computer-readable storage medium. Background Art

[0002] With the increase in the depth and intensity of coal mining resources and the complexity of mining conditions, coal mining is facing problems such as rock burst, coal and gas outbursts, which cause major safety accidents, casualties and property losses. Real-time and accurate monitoring is an important technical means to ensure the safe mining of deep coal resources. Although the current monitoring and early warning technologies and methods are constantly developing, such as geoacoustic sound, acoustic emission, stress, microseismic, electromagnetic radiation, etc., they play a certain positive role in the monitoring and early warning of coal and rock dynamic disasters under certain conditions, but the complex geological conditions of mines and the difficulty in eliminating environmental noise signals have led to the low accuracy of monitoring and early warning. In addition, there are certain weaknesses in sensitivity, stability, anti-interference and intelligence. Therefore, the monitoring and early warning of coal and rock dynamic disasters still need to explore and develop advanced monitoring technologies and methods.

[0003] When the coal and rock mass is deformed and damaged by force, a small amount of free charge will be generated, which will cause a slight fluctuation in the surrounding electric field. The weak fluctuation signal of the surrounding electric field is conditioned, filtered, recorded and analyzed by a high-precision charge sensing system, so as to accurately capture the monitored charge change information in real time, thus forming a new means of monitoring and warning coal and rock dynamic disasters. Therefore, a real-time electromechanical monitoring system and method based on coal and rock charge signals is proposed, which can accurately and real-time capture the weak signals generated in the process of coal and rock fracture, effectively reflect the manifestation law of mining pressure in the mining area, and has the characteristics of high sensitivity, good stability, strong anti-interference and intelligence, so as to achieve the purpose of real-time monitoring of the danger of coal and rock dynamic disasters. Summary of the invention

[0004] The main purpose of this application is to provide a disaster monitoring system based on coal and rock charge signals, a disaster monitoring method based on coal and rock charge signals, a disaster monitoring device based on coal and rock charge signals and a computer-readable storage medium, so as to at least solve the problem that the monitoring and early warning technology in the prior art has low accuracy of prediction results due to poor sensitivity, stability and anti-interference under complex mining geological conditions.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a disaster monitoring system based on coal and rock charge signals is provided, including: a sensing module, installed between the tray and the nut of the anchor rod and between the tray and the lock of the anchor cable, for monitoring the free charge signal generated at the moment of coal and rock stress fracture; an acquisition module, electrically connected to the sensing module, for conditioning and filtering the free charge signal; a preprocessing module, electrically connected to the acquisition module, for integrating and preprocessing the signals processed by multiple acquisition modules; a data processing terminal, electrically connected to the preprocessing module, for predicting danger based on the aggregated free charge signal.

[0006] Optionally, the sensing module and the acquisition module, the acquisition module and the preprocessing module, and the preprocessing module and the data processing terminal are connected via a transmission module, and the transmission module is used to realize signal transmission, wherein the transmission module adopts a dual-fiber design.

[0007] Optionally, the sensing module is made of circular white steel.

[0008] According to another aspect of the present application, a disaster prevention method based on coal-rock charge signals is provided, and the disaster prevention method is used to control any one of the disaster monitoring systems, and the method includes: obtaining the danger level and monitoring range of the area to be monitored, and determining first distribution data of multiple monitoring sections within the monitoring range based on the danger level; determining the installation position of the sensing module in each of the monitoring sections based on the first distribution data, and obtaining multiple second distribution data, wherein the number of the sensing modules in each of the second distribution data is greater than or equal to a first threshold, and the second distribution data corresponds to the monitoring section one by one; determining the acquisition module and the preprocessing module based on the first distribution data and the second distribution data. The position of the block is determined to obtain third distribution data, in which one acquisition module corresponds to at least one sensing module, and the preprocessing module corresponds to all the acquisition modules; free charge signals are collected by each sensing module, and are transmitted to the data processing terminal after being processed by the acquisition module and the preprocessing module, the data processing terminal determines the change trend of the charge signal according to the free charge signal, determines the deformation state of the coal rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state; based on the disaster prediction report, a preset database is queried to obtain target processing measures, and the preset database stores preset processing measures corresponding to different disasters.

[0009] Optionally, obtaining the hazard level and monitoring range of the area to be monitored includes: obtaining the coal seam occurrence address conditions, coal rock impact tendency, stress distribution state and surrounding mining degree of the area to be monitored; determining the hazard level and the monitoring range according to the coal seam occurrence address conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining degree, the hazard levels including no risk, low risk, medium risk and high risk.

[0010] Optionally, distribution data of multiple monitoring sections are determined within the monitoring range based on the hazard level, including: dividing the monitoring range based on the hazard level to obtain multiple sub-areas to be monitored; determining the number and spacing of the monitoring sections in each sub-area to be monitored based on the hazard level; taking the boundary of the monitoring range as the starting point, arranging the number of monitoring sections at the said spacing in each monitoring sub-area along the direction of the working face to obtain the distribution data.

[0011] Optionally, the hazard level is determined according to the coal seam occurrence address conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining degree, including: determining the probability of dynamic disasters in the monitored area based on the coal rock impact tendency and the stress distribution state, and when the probability of dynamic disasters is greater than a second threshold, determining the corresponding hazard level as the high risk; determining the geological complexity and fault density of the monitored area based on the coal seam occurrence address conditions and the surrounding mining degree, and when the geological complexity is greater than a third threshold and the fault density is greater than a fourth threshold, determining the corresponding hazard level as the high risk, when the geological complexity is less than or equal to the third threshold or the fault density is less than or equal to the fourth threshold, determining the corresponding hazard level as the medium risk, and when the geological complexity is less than the third threshold and the fault density is less than the fourth threshold, determining the corresponding hazard level as the low risk.

[0012] Optionally, the monitoring range is determined based on the coal seam occurrence address conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining degree, including: when the danger level corresponding to the monitored area is greater than or equal to the medium risk, the corresponding area is determined as the monitoring range.

[0013] According to another aspect of the present application, a disaster prevention device based on coal rock charge signals is provided, the device comprising: a first acquisition unit, used to acquire the danger level and monitoring range of the area to be monitored, and determine first distribution data of multiple monitoring sections within the monitoring range based on the danger level; a first determination unit, used to determine the installation position of the sensing module in each of the monitoring sections based on the first distribution data, and obtain multiple second distribution data, the number of the sensing modules in each of the second distribution data is greater than or equal to a first threshold, and the second distribution data corresponds to the monitoring section one by one; a second determination unit, used to determine the positions of the acquisition module and the preprocessing module based on the first distribution data and the second distribution data, and obtain the first distribution data; Three distribution data, in the third distribution data, one acquisition module corresponds to at least one sensing module, and the preprocessing module corresponds to all the acquisition modules; a first control unit is used to collect free charge signals through each sensing module, and transmit them to the data processing terminal after being processed by the acquisition module and the preprocessing module, the data processing terminal determines the change trend of the charge signal according to the free charge signal, determines the deformation state of the coal rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state; a second control unit is used to query a preset database based on the disaster prediction report to obtain target processing measures, and the preset database stores preset processing measures corresponding to different disasters.

[0014] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0015] The technical solution of the present application is applied to provide a disaster monitoring system based on coal rock charge signals, which includes: a sensing module, installed between the tray and the nut of the anchor rod and between the tray and the lock of the anchor cable, for monitoring the free charge signal generated at the moment of coal rock stress fracture; an acquisition module, electrically connected to the sensing module, for conditioning and filtering the free charge signal; a preprocessing module, electrically connected to the acquisition module, for integrating and preprocessing the signals processed by multiple acquisition modules; a data processing terminal, electrically connected to the preprocessing module, for predicting the danger according to the aggregated free charge signal. The present application installs sensing modules at positions such as anchor rods and anchor cables to monitor the free charge signals generated by coal rock fracture, performs conditioning and filtering through the acquisition module, and performs signal amplification and preprocessing through the preprocessing module, and finally predicts the danger through the data processing terminal based on the charge monitoring results, so as to determine the area where there is a risk of coal rock deformation and destruction, so as to take corresponding measures to deal with it as soon as possible, thereby solving the problem that the monitoring and early warning technology in the prior art has a low accuracy rate of prediction results due to poor sensitivity, stability and anti-interference under complex mining geological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A structural block diagram of a disaster monitoring system based on coal-rock charge signals provided in an embodiment of the present application is shown;

[0017] Figure 2 A structural block diagram of a specific disaster monitoring system based on coal-rock charge signals provided in an embodiment of the present application is shown;

[0018] Figure 3 A schematic flow chart of a disaster monitoring method based on coal-rock charge signals provided according to an embodiment of the present application is shown;

[0019] Figure 4 A schematic diagram of a monitoring section and monitoring point arrangement provided according to an embodiment of the present application is shown;

[0020] Figure 5 A structural block diagram of a disaster monitoring device based on coal-rock charge signals provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] As introduced in the background technology, due to factors such as complex mining geological conditions and difficulty in eliminating environmental noise signals, the accuracy of monitoring and early warning technology in the prior art is low. In order to solve the problem that the monitoring and early warning technology has low prediction accuracy due to poor sensitivity, stability and anti-interference under complex mining geological conditions, the embodiments of the present application provide a disaster monitoring system based on coal and rock charge signals, a disaster monitoring method based on coal and rock charge signals, a disaster monitoring device based on coal and rock charge signals and a computer-readable storage medium.

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0026] like Figure 1 As shown, in this embodiment, a disaster monitoring system based on coal rock charge signals is provided, which aims to achieve early warning and danger prediction of coal rock disasters by real-time monitoring of free charge signals generated at the moment of coal rock stress fracture. The system includes:

[0027] The sensing module is installed between the tray and nut of the anchor rod and between the tray and lock of the anchor cable to monitor the free charge signal generated at the moment of coal rock fracture;

[0028] Specifically, a highly sensitive electrostatic induction sensor is used to capture the weak charge signal released at the moment of coal rock fracture. The sensor is installed in key positions, such as between the tray and nut of the anchor rod and between the tray and lock of the anchor cable, to ensure that the stress of the coal rock can be effectively monitored. At the same time, a built-in signal amplification circuit ensures that the weak charge signal can be accurately captured and amplified to an appropriate level for subsequent processing.

[0029] A collection module, electrically connected to the sensing module, for conditioning and filtering the free charge signal;

[0030] Specifically, the acquisition module has a built-in high-precision charge signal sensing element, and the acquisition module conditions the charge signal output by the sensing module, including linearization processing and gain adjustment, to eliminate noise and nonlinear factors. High-performance analog filters and digital filters are used to eliminate high-frequency noise and irrelevant frequency components to ensure the purity of the signal.

[0031] A preprocessing module, electrically connected to the acquisition module, for integrating and preprocessing the signals processed by the multiple acquisition modules;

[0032] Specifically, the preprocessing module has a built-in signal amplification and conditioning acquisition board and power supply. The preprocessing module integrates the signals from multiple acquisition modules to form a comprehensive data set for subsequent analysis. Preprocessing algorithms such as denoising, smoothing, feature extraction, etc. are applied to improve data quality and facilitate risk prediction.

[0033] The data processing terminal is electrically connected to the preprocessing module and is used to make a risk prediction based on the aggregated free charge signal.

[0034] Specifically, the data processing terminal receives data transmitted by the preprocessing module through a network interface or other communication methods. Machine learning, deep learning or other data analysis technologies are used to analyze the aggregated charge signal, extract key features, and predict the possibility of coal and rock disasters. Based on the analysis results, early warning information is generated in real time, and relevant personnel are notified through a visual interface or an alarm system so that preventive measures can be taken in a timely manner.

[0035] In summary, the sensing module is fixed between the anchor tray and the nut, the anchor cable tray and the lock, and is connected to the acquisition module through the transmission module. The transmission module further transmits the signal collected by the acquisition module to the preprocessing module, and finally reaches the ground data processing terminal. The system realizes real-time monitoring and early warning of coal and rock disasters through the collaborative work of the sensing module, acquisition module, preprocessing module and data processing terminal.

[0036] It can be seen that the present application provides a disaster monitoring system based on coal rock charge signals, the system comprising: a sensing module, installed between the tray and the nut of the anchor rod and between the tray and the lock of the anchor cable, for monitoring the free charge signal generated at the moment of coal rock stress fracture; an acquisition module, electrically connected to the sensing module, for conditioning and filtering the free charge signal; a preprocessing module, electrically connected to the acquisition module, for integrating and preprocessing the signals processed by multiple acquisition modules; a data processing terminal, electrically connected to the preprocessing module, for predicting the danger according to the aggregated free charge signal. The present application installs a sensing module at the anchor rod and the anchor cable to monitor the free charge signal generated by coal rock fracture, and performs conditioning and filtering through the acquisition module, and performs signal amplification and preprocessing through the preprocessing module, and finally performs danger prediction through the data processing terminal based on the charge monitoring result, so as to determine the area where there is a risk of coal rock deformation and destruction, so as to take corresponding measures to deal with it as soon as possible, and solves the problem that the monitoring and early warning technology in the prior art has a low accuracy rate of prediction results due to poor sensitivity, stability and anti-interference under complex mining geological conditions.

[0037] As a possible implementation method, the system uses a dual-fiber transmission module to achieve efficient and stable signal transmission, and adopts a circular white steel sensing module to improve the overall performance and reliability of the system.

[0038] The sensing module and the acquisition module, the acquisition module and the preprocessing module, and the preprocessing module and the data processing terminal are connected through a transmission module, which is used to realize signal transmission. The transmission module adopts a dual-optical fiber design, and the sensing module is a circular white steel.

[0039] Specifically, the sensing module can be made of circular white steel with an outer diameter of 50 mm, an inner diameter of 25 mm, and a thickness of 5 mm. The sensing module and the transmission module are connected by welding. The structural block diagram of a specific disaster monitoring system based on coal rock charge signals of the present application is shown in FIG. Figure 2 As shown, it can be seen that the present application further provides a signal amplification circuit in the acquisition module to amplify the charge signal collected by the charge sensing element in the acquisition module so as to extract and analyze features.

[0040] In summary, the design of the circular white steel sensing module and the dual optical fiber transmission module improves the sensitivity and stability of signal capture and transmission, and further improves the performance and reliability of the disaster monitoring system based on coal and rock charge signals.

[0041] The embodiment of the present application provides a disaster prevention method based on coal-rock charge signals, and the disaster prevention method is used to control any disaster monitoring system, such as Figure 3 As shown, the method comprises the following steps:

[0042] Step 301, obtaining the danger level and monitoring range of the area to be monitored, and determining first distribution data of multiple monitoring sections within the monitoring range based on the danger level;

[0043] Specifically, geological exploration data, historical disaster records, etc. are used to assess the danger level of the area to be monitored. Based on the danger level assessment results, specific areas that need to be monitored are determined to ensure that all key areas where disasters may occur are covered. Multiple monitoring sections are divided according to the danger level, with higher section density in high-risk areas and relatively lower section density in low-risk areas.

[0044] Step 302, determining the installation position of the sensing module in each monitoring section based on the first distribution data, and obtaining a plurality of second distribution data, wherein the number of the sensing modules in each second distribution data is greater than or equal to the first threshold, and the second distribution data corresponds to the monitoring section one by one;

[0045] Specifically, according to the first distribution data, the sensing modules are reasonably arranged in each monitoring section to ensure that the number of sensing modules in each section is greater than or equal to the first threshold. The second distribution data of the sensing modules is generated to record the position and number of each sensing module to ensure that each monitoring section has at least one sensing module to achieve full coverage.

[0046] Step 303, determining the positions of the acquisition modules and the pre-processing modules based on the first distribution data and the second distribution data to obtain third distribution data, wherein one acquisition module in the third distribution data corresponds to at least one sensing module, and the pre-processing module corresponds to all acquisition modules;

[0047] Specifically, a preprocessing module is arranged at the center or key node of the monitoring area, corresponding to all acquisition modules, to achieve centralized data processing. The third distribution data of the acquisition module and the preprocessing module is generated, and the position and corresponding relationship of each module are recorded to ensure the efficient operation of the system.

[0048] Step 304: collect free charge signals through each sensing module, and transmit them to the data processing terminal after being processed by the collection module and the preprocessing module. The data processing terminal determines the change trend of the charge signal according to the free charge signal, determines the deformation state of the coal rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state;

[0049] Specifically, the sensing module collects the free charge signal generated at the moment of coal rock fracture in real time and transmits it to the corresponding acquisition module. The acquisition module conditions and filters the charge signal, the preprocessing module integrates and preprocesses the signals of multiple acquisition modules, and transmits the processed data to the data processing terminal through the transmission module. The data processing terminal determines the deformation state of the coal rock according to the change trend of the free charge signal, and generates a disaster prediction report, which records the analysis results, deformation state and prediction conclusions in detail to provide a basis for decision-making.

[0050] Step 305, based on the disaster prediction report, query the preset database to obtain the target processing measures, and the preset database stores preset processing measures corresponding to different disasters.

[0051] Specifically, the preset database stores preset treatment measures corresponding to different disasters, including emergency plans, preventive measures, equipment maintenance suggestions, etc. By querying the preset database, the target treatment measures can be obtained to improve decision-making efficiency and ensure the timeliness and effectiveness of disaster prevention and emergency response.

[0052] It can be seen that the present application provides a disaster monitoring method based on coal-rock charge signals. The method determines the arrangement of the sensing module and the data processing module through hazard level assessment and monitoring section division. The sensing module collects signals, which are transmitted to the data processing terminal after the collection and preprocessing module. The data processing terminal generates a disaster prediction report, queries the preset database based on the disaster prediction report, and finally obtains the target treatment measures. The system realizes early warning and accurate prediction of coal-rock disasters, improves the ability of disaster prevention and emergency response, and provides strong technical support for coal mine safety production.

[0053] As a possible implementation method, obtaining the danger level and monitoring range of the area to be monitored includes the following steps:

[0054] Step 401, obtaining the coal seam occurrence address conditions, coal rock impact tendency, stress distribution state and surrounding mining degree of the area to be monitored;

[0055] Specifically, the geological conditions of coal seams in the monitored area are obtained through geological exploration and historical geological exploration data analysis, the impact tendency data of coal rocks are obtained through laboratory tests and field observations, and the stress distribution state of the monitored area is obtained through stress monitoring equipment and numerical simulation. The mining degree of surrounding mines is obtained through mine design and construction records.

[0056] Step 402, determine the hazard level and monitoring range according to the coal seam occurrence location conditions, coal rock impact tendency, stress distribution state and surrounding mining degree, and the hazard levels include no risk, low risk, medium risk and high risk.

[0057] Specifically, a comprehensive assessment is conducted based on geological exploration data, laboratory test results, stress monitoring data, and surrounding mining conditions to determine the risk level of the area to be monitored. Based on the comprehensive assessment results, the area to be monitored is divided into four levels: no risk, low risk, medium risk, and high risk. Different levels of areas require different monitoring measures.

[0058] As a possible implementation method, determining the distribution data of multiple monitoring sections within the monitoring range based on the hazard level includes the following steps:

[0059] Step 501, dividing the monitoring range based on the danger level to obtain multiple sub-areas to be monitored;

[0060] Specifically, the hazard level of the area to be monitored (no risk, low risk, medium risk and high risk) is combined with the monitoring scope to identify sub-areas with different risk levels. Based on the assessment results, the monitoring scope is divided into multiple sub-areas to be monitored, each of which corresponds to a specific hazard level, ensuring that high-risk areas receive special attention.

[0061] Step 502, determining the number and spacing of monitoring sections of each sub-area to be monitored based on the hazard level;

[0062] Specifically, different monitoring densities are set for sub-areas with different risk levels. For example, the number of monitoring sections in high-risk areas can be set to be large with smaller spacing; the number of monitoring sections in low-risk areas can be set to be small with larger spacing. Through historical data, on-site surveys and expert opinions, the number of monitoring sections and reasonable spacing required in each sub-area to be monitored are scientifically calculated to ensure monitoring efficiency and effectiveness.

[0063] Step 503, taking the boundary of the monitoring range as the starting point, a number of monitoring sections are arranged at intervals in each monitoring sub-area along the direction of the working face to obtain distribution data.

[0064] Specifically, Figure 4 As shown, the boundary of the monitoring range is used as the starting point for arranging the monitoring sections. According to the direction of the working face, in each sub-area to be monitored, the required number of monitoring sections are arranged according to the previously determined spacing. Based on the arrangement results, complete monitoring section distribution data is generated to cover all sub-areas, ensuring that high-risk areas are focused and low-risk areas are reasonably arranged.

[0065] It can be seen that the step of determining the distribution data of monitoring sections in this method realizes the monitoring scheme for different risk levels by dividing the monitoring range and scientifically calculating and arranging the number and spacing of monitoring sections. In this process, more intensive monitoring arrangements are carried out for high-risk sub-areas to ensure sufficient monitoring coverage, which provides a solid foundation for subsequent data collection and disaster prediction.

[0066] As a possible implementation method, the hazard level is determined according to the coal seam location conditions, coal rock impact tendency, stress distribution state and surrounding mining degree, including the following steps:

[0067] Step 601, determining the probability of a dynamic disaster in the area to be monitored based on the coal-rock impact tendency and the stress distribution state, and determining the corresponding hazard level as high risk when the probability of a dynamic disaster is greater than a second threshold;

[0068] Specifically, the impact tendency of coal and rock is evaluated through laboratory tests and historical data analysis. The higher the impact tendency, the more likely the coal and rock will suffer dynamic disasters. Through stress monitoring equipment and numerical simulation, the stress distribution state of the area to be monitored is obtained, and high stress areas are more likely to suffer dynamic disasters.

[0069] Step 602, based on the coal seam occurrence address conditions and the surrounding mining level, determine the geological complexity and fault density of the monitored area. When the geological complexity is greater than the third threshold and the fault density is greater than the fourth threshold, determine the corresponding hazard level as high risk. When the geological complexity is less than or equal to the third threshold or the fault density is less than or equal to the fourth threshold, determine the corresponding hazard level as medium risk. When the geological complexity is less than the third threshold and the fault density is less than the fourth threshold, determine the corresponding hazard level as low risk.

[0070] Specifically, by combining factors such as coal-rock impact tendency, stress distribution, geological complexity, and fault density, we can accurately assess the danger level of the monitored area. By setting thresholds, we can accurately identify high-risk areas and ensure that these areas receive key attention and monitoring. Different monitoring and prevention measures are taken according to different danger levels to achieve optimal allocation and management of resources.

[0071] In summary, the system can achieve a scientific classification of the danger level of the monitored area, providing an important basis for the subsequent monitoring section layout, sensor module installation and disaster prevention. This method based on multi-factor comprehensive evaluation has significantly improved the accuracy and effectiveness of disaster prevention.

[0072] As a possible implementation method, the monitoring range is determined according to the coal seam occurrence address conditions, coal rock impact tendency, stress distribution state and surrounding mining degree, including: when the danger level corresponding to the monitored area is greater than or equal to medium risk, the corresponding area is determined as the monitoring range.

[0073] Specifically, by including relatively high-risk areas in the monitoring scope, it can ensure that monitoring resources are concentrated on areas with higher risks, thereby improving safety assurance. With real-time monitoring of high-risk and medium-risk areas, potential problems can be quickly discovered, so that necessary preventive measures can be taken in a timely manner.

[0074] The embodiment of the present application also provides a disaster monitoring device based on coal rock charge signals. It should be noted that the disaster monitoring device based on coal rock charge signals in the embodiment of the present application can be used to execute the disaster monitoring method based on coal rock charge signals provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been explained will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0075] The following is an introduction to the disaster monitoring device based on coal rock charge signals provided in an embodiment of the present application.

[0076] Figure 5 is a structural block diagram of a disaster monitoring device based on coal rock charge signals according to an embodiment of the present application. Figure 5 As shown, the device includes: a first acquisition unit 10, a first determination unit 20, a second determination unit 30, a first control unit 40 and a second control unit 50.

[0077] A first acquisition unit 10 is used to acquire the danger level and monitoring range of the area to be monitored, and determine first distribution data of multiple monitoring sections within the monitoring range based on the danger level;

[0078] Specifically, geological exploration data, historical disaster records, etc. are used to assess the danger level of the area to be monitored. Based on the danger level assessment results, specific areas that need to be monitored are determined to ensure that all key areas where disasters may occur are covered. Multiple monitoring sections are divided according to the danger level, with higher section density in high-risk areas and relatively lower section density in low-risk areas.

[0079] A first determination unit 20 is used to determine the installation position of the sensing module in each monitoring section based on the first distribution data, and obtain a plurality of second distribution data, wherein the number of the sensing modules in each second distribution data is greater than or equal to the first threshold value, and the second distribution data corresponds to the monitoring section one by one;

[0080] Specifically, according to the first distribution data, the sensing modules are reasonably arranged in each monitoring section to ensure that the number of sensing modules in each section is greater than or equal to the first threshold. The second distribution data of the sensing modules is generated to record the position and number of each sensing module to ensure that each monitoring section has at least one sensing module to achieve full coverage.

[0081] A second determination unit 30 is used to determine the positions of the acquisition modules and the pre-processing modules based on the first distribution data and the second distribution data to obtain third distribution data, wherein one acquisition module in the third distribution data corresponds to at least one sensing module, and the pre-processing module corresponds to all acquisition modules;

[0082] Specifically, a preprocessing module is arranged at the center or key node of the monitoring area, corresponding to all acquisition modules, to achieve centralized data processing. The third distribution data of the acquisition module and the preprocessing module is generated, and the position and corresponding relationship of each module are recorded to ensure the efficient operation of the system.

[0083] The first control unit 40 is used to collect free charge signals through each sensing module, and transmit them to the data processing terminal after being processed by the collection module and the preprocessing module. The data processing terminal determines the change trend of the charge signal according to the free charge signal, determines the deformation state of the coal rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state;

[0084] Specifically, the sensing module collects the free charge signal generated at the moment of coal rock fracture in real time and transmits it to the corresponding acquisition module. The acquisition module conditions and filters the charge signal, the preprocessing module integrates and preprocesses the signals of multiple acquisition modules, and transmits the processed data to the data processing terminal through the transmission module. The data processing terminal determines the deformation state of the coal rock according to the change trend of the free charge signal, and generates a disaster prediction report, which records the analysis results, deformation state and prediction conclusions in detail to provide a basis for decision-making.

[0085] The second control unit 50 is used to query a preset database based on the disaster prediction report to obtain target processing measures. The preset database stores preset processing measures corresponding to different disasters.

[0086] Specifically, the preset database stores preset treatment measures corresponding to different disasters, including emergency plans, preventive measures, equipment maintenance suggestions, etc. By querying the preset database, the target treatment measures can be obtained to improve decision-making efficiency and ensure the timeliness and effectiveness of disaster prevention and emergency response.

[0087] It can be seen that the present application provides a disaster monitoring device based on coal-rock charge signals, which includes: a first acquisition unit, a first determination unit, a second determination unit, a first control unit, and a second control unit. The device determines the arrangement of the sensing module and the data processing module by hazard level assessment and monitoring section division, collects signals through the sensing module, and transmits them to the data processing terminal after the collection and preprocessing module. The data processing terminal generates a disaster prediction report, queries a preset database based on the disaster prediction report, and finally obtains the target processing measures. It realizes early warning and accurate prediction of coal-rock disasters, improves the ability of disaster prevention and emergency response, and provides strong technical support for coal mine safety production.

[0088] As a possible implementation manner, the first acquisition unit includes: a region acquisition module and a risk determination module.

[0089] The regional acquisition module is used to obtain the coal seam occurrence address conditions, coal rock impact tendency, stress distribution state and surrounding mining degree in the area to be monitored;

[0090] Specifically, the geological conditions of coal seams in the monitored area are obtained through geological exploration and historical geological exploration data analysis, the impact tendency data of coal rocks are obtained through laboratory tests and field observations, and the stress distribution state of the monitored area is obtained through stress monitoring equipment and numerical simulation. The mining degree of surrounding mines is obtained through mine design and construction records.

[0091] The risk determination module is used to determine the hazard level and monitoring scope based on the coal seam location conditions, coal rock impact tendency, stress distribution state and surrounding mining degree. The hazard levels include no risk, low risk, medium risk and high risk.

[0092] Specifically, a comprehensive assessment is conducted based on geological exploration data, laboratory test results, stress monitoring data, and surrounding mining conditions to determine the risk level of the area to be monitored. Based on the comprehensive assessment results, the area to be monitored is divided into four levels: no risk, low risk, medium risk, and high risk. Different levels of areas require different monitoring measures.

[0093] As a possible implementation manner, the first acquisition unit further includes: a division module, a section determination module and a monitoring arrangement module.

[0094] A division module is used to divide the monitoring range based on the danger level to obtain multiple sub-areas to be monitored;

[0095] Specifically, the hazard level of the area to be monitored (no risk, low risk, medium risk and high risk) is combined with the monitoring scope to identify sub-areas with different risk levels. Based on the assessment results, the monitoring scope is divided into multiple sub-areas to be monitored, each of which corresponds to a specific hazard level, ensuring that high-risk areas receive special attention.

[0096] A section determination module is used to determine the number and spacing of monitoring sections in each sub-area to be monitored based on the hazard level;

[0097] Specifically, different monitoring densities are set for sub-areas with different risk levels. For example, the number of monitoring sections in high-risk areas can be set to be large with smaller spacing; the number of monitoring sections in low-risk areas can be set to be small with larger spacing. Through historical data, on-site surveys and expert opinions, the number of monitoring sections and reasonable spacing required in each sub-area to be monitored are scientifically calculated to ensure monitoring efficiency and effectiveness.

[0098] The monitoring layout module is used to arrange a number of monitoring sections at intervals in each monitoring sub-area along the direction of the working face with the boundary of the monitoring range as the starting point to obtain distribution data.

[0099] Specifically, the boundary of the monitoring range is used as the starting point for arranging the monitoring sections. According to the direction of the working face, in each sub-area to be monitored, the required number of monitoring sections are arranged according to the previously determined spacing. Based on the arrangement results, complete monitoring section distribution data is generated to cover all sub-areas, ensuring that high-risk areas are focused and low-risk areas are reasonably arranged.

[0100] It can be seen that the step of determining the distribution data of monitoring sections in this method realizes the monitoring scheme for different risk levels by dividing the monitoring range and scientifically calculating and arranging the number and spacing of monitoring sections. In this process, more intensive monitoring arrangements are carried out for high-risk sub-areas to ensure sufficient monitoring coverage, which provides a solid foundation for subsequent data collection and disaster prediction.

[0101] As a possible implementation manner, the risk determination module includes: a high-risk sub-module and a low-risk sub-module.

[0102] A high-risk submodule is used to determine the probability of dynamic disasters in the monitored area based on the coal-rock impact tendency and stress distribution state. When the probability of dynamic disasters is greater than a second threshold, the corresponding hazard level is determined to be high risk;

[0103] Specifically, the impact tendency of coal and rock is evaluated through laboratory tests and historical data analysis. The higher the impact tendency, the more likely the coal and rock will suffer dynamic disasters. The stress distribution state of the area to be monitored is obtained through stress monitoring equipment and numerical simulation. High stress areas are more likely to suffer dynamic disasters.

[0104] The low-risk submodule is used to determine the geological complexity and fault density of the monitored area based on the coal seam occurrence address conditions and the surrounding mining level. When the geological complexity is greater than the third threshold and the fault density is greater than the fourth threshold, the corresponding hazard level is determined to be high risk. When the geological complexity is less than or equal to the third threshold or the fault density is less than or equal to the fourth threshold, the corresponding hazard level is determined to be medium risk. When the geological complexity is less than the third threshold and the fault density is less than the fourth threshold, the corresponding hazard level is determined to be low risk.

[0105] Specifically, by combining factors such as coal-rock impact tendency, stress distribution, geological complexity, and fault density, we can accurately assess the danger level of the monitored area. By setting thresholds, we can accurately identify high-risk areas and ensure that these areas receive key attention and monitoring. Different monitoring and prevention measures are taken according to different danger levels to achieve optimal allocation and management of resources.

[0106] In summary, the system can achieve a scientific classification of the danger level of the monitored area, providing an important basis for the subsequent monitoring section layout, sensor module installation and disaster prevention. This method based on multi-factor comprehensive evaluation has significantly improved the accuracy and effectiveness of disaster prevention.

[0107] As a possible implementation manner, the risk determination module also includes: a scope determination submodule.

[0108] The range determination submodule is used to determine the corresponding area as the monitoring range when the danger level corresponding to the monitored area is greater than or equal to medium risk.

[0109] Specifically, by including relatively high-risk areas in the monitoring scope, it can ensure that monitoring resources are concentrated on areas with higher risks, thereby improving safety assurance. With real-time monitoring of high-risk and medium-risk areas, potential problems can be quickly discovered, so that necessary preventive measures can be taken in a timely manner.

[0110] The above-mentioned disaster monitoring device based on coal-rock charge signals includes a processor and a memory. The above-mentioned first acquisition unit, the first determination unit, the second determination unit, the first control unit, and the second control unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in any combination.

[0111] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the communication efficiency can be improved by adjusting the kernel parameters.

[0112] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0113] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the disaster monitoring method based on coal-rock charge signals.

[0114] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0115] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0116] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0117] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0119] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0120] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0121] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0122] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0123] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0124] 1) The disaster monitoring system based on coal rock charge signal of the present application includes: a sensing module, installed between the tray and nut of the anchor rod and between the tray and lock of the anchor cable, used to monitor the free charge signal generated at the moment of coal rock stress fracture; an acquisition module, electrically connected to the sensing module, used to condition and filter the free charge signal; a preprocessing module, electrically connected to the acquisition module, used to integrate and preprocess the signals processed by multiple acquisition modules; a data processing terminal, electrically connected to the preprocessing module, used to predict the danger according to the aggregated free charge signal. The present application installs sensing modules at positions such as anchor rods and anchor cables to monitor the free charge signals generated by coal rock fracture, and performs conditioning and filtering through the acquisition module, and amplifies and preprocesses the signals through the preprocessing module. Finally, based on the charge monitoring results, the danger is predicted through the data processing terminal to determine the area where there is a risk of coal rock deformation and damage, so as to take corresponding measures to deal with it as soon as possible, solving the problem that the monitoring and early warning technology in the prior art has a low accuracy rate of prediction results due to poor sensitivity, stability and anti-interference under complex mining geological conditions.

[0125] 2) The disaster monitoring method based on coal-rock charge signals of the present application determines the arrangement of the sensing module and the data processing module through the hazard level assessment and monitoring section division, collects signals through the sensing module, transmits them to the data processing terminal after the collection and preprocessing module, and the data processing terminal generates a disaster prediction report, queries the preset database based on the disaster prediction report, and finally obtains the target treatment measures. The system realizes early warning and accurate prediction of coal-rock disasters, improves the ability of disaster prevention and emergency treatment, and provides strong technical support for coal mine safety production.

[0126] 3) The disaster monitoring device based on coal-rock charge signals of the present application includes: a first acquisition unit, a first determination unit, a second determination unit, a first control unit and a second control unit. The device determines the arrangement of the sensing module and the data processing module by hazard level assessment and monitoring section division, collects signals through the sensing module, and transmits them to the data processing terminal after the collection and preprocessing module. The data processing terminal generates a disaster prediction report, queries a preset database based on the disaster prediction report, and finally obtains the target processing measures. It realizes early warning and accurate prediction of coal-rock disasters, improves the ability of disaster prevention and emergency response, and provides strong technical support for coal mine safety production.

[0127] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A disaster monitoring system based on coal-rock charge signals, characterized in that: include: The sensing module is installed between the tray and nut of the anchor rod and between the tray and lock of the anchor cable to monitor the free charge signal generated at the moment of coal rock fracture; A collection module, electrically connected to the sensing module, for conditioning and filtering the free charge signal; A preprocessing module, electrically connected to the acquisition module, for integrating and preprocessing the signals processed by the plurality of acquisition modules; The data processing terminal is electrically connected to the preprocessing module and is used to make a risk prediction based on the aggregated free charge signal.

2. The system according to claim 1, characterized in that The sensing module and the acquisition module, the acquisition module and the preprocessing module, and the preprocessing module and the data processing terminal are connected via a transmission module, and the transmission module is used to realize signal transmission, wherein the transmission module adopts a dual-fiber design.

3. The system according to claim 1, characterized in that The induction module is made of circular white steel.

4. A disaster prevention method based on coal-rock charge signals, characterized in that: The disaster prevention method is used to control the disaster monitoring system according to any one of claims 1 to 3, and the method comprises: Acquire the danger level and monitoring range of the area to be monitored, and determine first distribution data of multiple monitoring sections within the monitoring range based on the danger level; Determine the installation position of the sensing module in each monitoring section based on the first distribution data to obtain a plurality of second distribution data, wherein the number of the sensing modules in each of the second distribution data is greater than or equal to a first threshold, and the second distribution data corresponds to the monitoring section one by one; Determine the positions of the acquisition module and the pre-processing module based on the first distribution data and the second distribution data to obtain third distribution data, wherein one acquisition module in the third distribution data corresponds to at least one sensing module, and the pre-processing module corresponds to all the acquisition modules; The free charge signal is collected by each of the sensing modules, and is transmitted to the data processing terminal after being processed by the collection module and the preprocessing module. The data processing terminal determines the change trend of the charge signal according to the free charge signal, determines the deformation state of the coal rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state; Based on the disaster prediction report, a preset database is queried to obtain target processing measures, and the preset database stores preset processing measures corresponding to different disasters.

5. The method according to claim 4, characterized in that Obtain the danger level and monitoring range of the area to be monitored, including: Obtaining the coal seam occurrence address conditions, coal rock impact tendency, stress distribution state and surrounding mining degree in the area to be monitored; The hazard level and the monitoring range are determined according to the coal seam occurrence location conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining extent. The hazard levels include no risk, low risk, medium risk and high risk.

6. The method according to claim 5, characterized in that The distribution data of multiple monitoring sections are determined within the monitoring range based on the hazard level, including: Dividing the monitoring range based on the danger level to obtain a plurality of sub-areas to be monitored; Determine the number and spacing of the monitoring sections in each of the sub-areas to be monitored based on the hazard level; Taking the boundary of the monitoring range as the starting point, the monitoring sections of the number are arranged at the intervals in each monitoring sub-area along the direction of the working face to obtain the distribution data.

7. The method according to claim 5, characterized in that The hazard level is determined according to the coal seam occurrence location conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining degree, including: Determine the probability of a dynamic disaster in the monitored area based on the coal-rock impact tendency and the stress distribution state, and when the probability of a dynamic disaster is greater than a second threshold, determine the corresponding hazard level as the high risk; The geological complexity and fault density of the monitored area are determined based on the coal seam occurrence address conditions and the surrounding mining level. When the geological complexity is greater than the third threshold and the fault density is greater than the fourth threshold, the corresponding hazard level is determined to be the high risk. When the geological complexity is less than or equal to the third threshold or the fault density is less than or equal to the fourth threshold, the corresponding hazard level is determined to be the medium risk. When the geological complexity is less than the third threshold and the fault density is less than the fourth threshold, the corresponding hazard level is determined to be the low risk.

8. The method according to claim 7, characterized in that The monitoring range is determined according to the coal seam occurrence location conditions, the coal rock impact tendency, the stress distribution state and the surrounding mining degree, including: When the danger level corresponding to the area to be monitored is greater than or equal to the medium risk, the corresponding area is determined as the monitoring range.

9. A disaster prevention device based on coal-rock charge signals, characterized in that: The device comprises: A first acquisition unit, used to acquire a danger level and a monitoring range of a to-be-monitored area, and determine first distribution data of a plurality of monitoring sections within the monitoring range based on the danger level; a first determining unit, configured to determine the installation position of the sensing module in each of the monitoring sections based on the first distribution data, to obtain a plurality of second distribution data, wherein the number of the sensing modules in each of the second distribution data is greater than or equal to a first threshold, and the second distribution data corresponds to the monitoring section one by one; a second determining unit, configured to determine positions of an acquisition module and a preprocessing module based on the first distribution data and the second distribution data, to obtain third distribution data, wherein one acquisition module in the third distribution data corresponds to at least one sensing module, and the preprocessing module corresponds to all acquisition modules; a first control unit, configured to collect free charge signals through each of the sensing modules, and transmit the signals to a data processing terminal after being processed by the collection module and the preprocessing module; the data processing terminal determines a change trend of a charge signal according to the free charge signal, determines a deformation state of coal and rock based on the change trend of the charge signal, and generates a disaster prediction report based on the deformation state; The second control unit is used to query a preset database based on the disaster prediction report to obtain target processing measures, and the preset database stores preset processing measures corresponding to different disasters.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 4 to 8.

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