A method for early warning of risk of slippage and instability at the structural interface of gas-bearing coal seams

Abstract

This invention discloses a method for early warning of slippage and instability risks at the structural interface of gas-bearing coal seams. This invention relates to the field of coal mine safety technology. It involves real-time monitoring of the structural interface of gas-bearing coal seams, establishing a model of the structural interface, predicting the evolution of the physical and mechanical characteristics of the structural interface, monitoring and collecting the variation patterns of various sensitive parameters, detecting the impact of various prevention and control measures on the interface model, and generating and displaying four sets of ranking tables. The advantages of this invention are: by establishing a model of the structural interface of gas-bearing coal seams, it is possible to monitor the impact of the surrounding rock geological environment and mining disturbances on the physical and mechanical properties of the structural interface, improving the accuracy of predicting the risk of slippage and instability at the structural interface of gas-bearing coal seams; it can provide different prevention and control measures for different stages of interface slippage and instability; and it can simulate and analyze the prevention and control measures, calculate the input-output ratio of the prevention and control measures, and provide information reference for users.

Description

Technical Field

[0001] This invention relates to the field of coal mine safety technology, specifically to a method for early warning of risk of slippage and instability at the structural interface of gas-bearing coal seams. Background Technology

[0002] Coalbed methane, also known as coal seam gas, is a mixture of methane, carbon dioxide, and ammonia that escapes from coal and surrounding rocks. Methane is a harmful factor in coal mine production. It not only pollutes the air, but also, when the methane content in the air is 5% to 16%, it can explode upon contact with fire, causing accidents. Methane explosions are preventable, and methane outbursts are predictable. For example, regularly measuring the methane content in the roadway air, measuring the methane emission rate, and taking measures such as effective ventilation, prohibiting smoking, pre-extraction, mining protective layers, and artificial outbursts can ensure the safety of coal mine production. More importantly, we should study and solve the problem of comprehensive utilization of coal mine methane, turning harm into benefit, and specifically extracting and concentrating methane for use as gaseous fuel and for manufacturing carbon black, etc.

[0003] Commercially available early warning methods for the risk of slippage and instability of gas-bearing coal seam structural interfaces are relatively simple in their prediction methods. They cannot simulate and view the structural interfaces of gas-bearing coal seams, nor can they provide users with references for prevention and control measures. It is also inconvenient to calculate the input-output ratio of different prevention and control measures for slippage and instability of gas-bearing coal seam structural interfaces, which makes it difficult for users to flexibly choose prevention and control measures. Therefore, we propose an early warning method for the risk of slippage and instability of gas-bearing coal seam structural interfaces. Summary of the Invention

[0004] The purpose of this invention is to provide a method for early warning of the risk of slippage and instability at the structural interface of gas-bearing coal seams.

[0005] To address the problems mentioned in the background art, the present invention provides the following technical solution: a method for early warning of risk of slippage and instability at the structural interface of gas-bearing coal seams, comprising the following steps:

[0006] Step 1: Monitor the structural interface of the gas-bearing coal seam in real time, and collect information on changes in the surrounding rock geological environment and mining disturbances;

[0007] Step 2: Establish a structural interface model for gas-bearing coal seams, and simulate the impact of various surrounding rock geological environments and mining disturbances on the structural interface of gas-bearing coal seams in the interface model.

[0008] Step 3: Extract the factors that have a significant impact on the stability of the sliding interface of the gas-bearing coal seam, including the surrounding rock geological environment and the factors that are significantly affected by mining disturbance.

[0009] Step 4: Predict the evolution of the physical and mechanical characteristics of the structural interface of the gas-bearing coal seam, and invert the prediction results of interface instability by changing different monitoring parameters;

[0010] Step 5: Collect various methods for preventing slippage and instability at the structural interface of gas-bearing coal seams, and incorporate them into graded prevention and control measures.

[0011] Step 6: Induce the interface model to experience critical slip instability and test the impact of various prevention and control measures on the interface model;

[0012] Step 7: Analyze the parameter requirements for preventing slippage and instability based on the structural interface of the gas-bearing coal seam;

[0013] Step 8: Convert the impact of various prevention and control measures on the interface model into a unified safety value, obtain four sorting tables, and then display the four sorting tables to the user.

[0014] As a further aspect of the present invention: In step one, when monitoring the structural interface of the gas-bearing coal seam, information can be obtained through rock detection, stress monitoring, gas monitoring, rock stratum displacement monitoring, seepage monitoring, and on-site observation. The six sets of information obtained are then summarized and analyzed to improve the accuracy of the information on the structural interface of the gas-bearing coal seam. At the same time, the method of monitoring the structural interface of the gas-bearing coal seam can be used to monitor the mining disturbance around the structural interface of the gas-bearing coal seam and obtain information on changes in mining disturbance. In addition, information on changes in the geological environment of the surrounding rock can be obtained comprehensively through the Internet and on-site surveys.

[0015] As a further aspect of the present invention: Step two receives the information collected in step one, and simulates an interface model based on the structural interface information of the gas-bearing coal seam. Then, it simulates the changes in the surrounding rock geological environment and the changes in mining disturbance in the interface model. Specifically, the simulation method is to use GeoMode ll er to construct the input structural interface information of the gas-bearing coal seam, then calculate the influence ratio of the information collected near the structural interface of the gas-bearing coal seam on the structural interface information of the gas-bearing coal seam, and adjust the collected information on the structural interface of the gas-bearing coal seam according to the influence ratio of the collected information on the structural interface information of the gas-bearing coal seam to observe its influence on the interface model.

[0016] As a further aspect of the present invention: In step three, before extracting the factors that significantly affect the structural interface of the gas-bearing coal seam, such as the surrounding rock geological environment and mining disturbance, the environmental change information and mining disturbance change information need to be broken down into single factors. This facilitates the viewing of the impact of single factors on the structural interface of the gas-bearing coal seam and makes it easier to control environmental factors. The specific breakdown method is as follows:

[0017] SI: Identify the factors in the environment that need to be studied;

[0018] S2. Depending on the research objectives and needs, appropriate methods can be selected to separate environmental factors.

[0019] S3. When studying a single environmental factor, first control the influence of factors other than the single environmental factor on the structural interface of the gas-bearing coal seam.

[0020] S4. The influence of a single factor on the structural interface of gas-bearing coal seams is comprehensively derived.

[0021] Then, the individual factors are simulated and input into the interface model to obtain the influence of all individual factors on the interface model, and convert them into influence values. Finally, the influence values ​​of all individual factors are sorted to obtain the individual factors that have a greater impact on the interface model.

[0022] As a further aspect of the present invention: Step four receives the information processed in step three. When predicting whether there is a risk of slippage and instability at the structural interface of a gas-bearing coal seam, simulation can be performed in the interface model. Environmental change information and mining disturbance change information are simulated and transmitted to the interface model. Simulation speed can be set to allow users to more intuitively view the impact of various environmental and mining disturbance changes on the interface model. Furthermore, three warning levels are set, and the simulation results corresponding to different warning levels are as follows:

[0023] Level 1 is indicated by a green indicator, meaning that the interface model shows no signs of slippage or instability after simulating a set time interval;

[0024] Level 2 is indicated by a yellow label, signifying that the interface model may slip and become unstable after a set time interval in the simulation.

[0025] Level 3 is indicated by red, meaning that after simulating a set time interval, the interface model initially shows signs of slippage instability or has even begun to slippage instability.

[0026] Different early warning methods are adopted for different prediction results, enabling users to formulate more targeted mitigation measures for the risk of slippage and instability of gas-bearing coal seam structural interfaces.

[0027] As a further aspect of the present invention: In step five, when collecting various methods to mitigate slippage and instability at the structural interface of gas-bearing coal seams, a basic, intermediate, and advanced method library is established using MySQL, Microsoft SQL Server, Oracle Database, and PostgreSQL. The distinguishing criteria for different method libraries are as follows:

[0028] The methods recorded in the basic method library are for situations where there are signs of slippage and instability at the structural interface of gas-bearing coal seams.

[0029] The methods recorded in the intermediate-level method library are for situations where the structural interface of gas-bearing coal seams begins to slip and become unstable, but the impact on mine production safety is relatively small, although there are certain safety hazards.

[0030] The advanced method library records methods for situations where the slippage and instability of the structural interface of gas-bearing coal seams pose a significant threat to mine production safety and may lead to serious safety hazards such as coal seam water infiltration and roof collapse.

[0031] By recording data using the methods described above, when different stages of risk appear at the structural interface of gas-bearing coal seams, more reasonable prevention and control measures can be proposed for the slippage and instability risks at different stages.

[0032] As a further aspect of the present invention: in step six, step six receives the information processed in step five, adjusts the interface model to the state of slip instability, then matches corresponding prevention and control measures for different situations, and simulates the implementation of different prevention and control measures in the interface model to analyze their effect on alleviating slip instability of the gas-bearing coal seam structural interface.

[0033] For example, when the interface model experiences slippage instability, the support for the interface model is strengthened. Specific strengthening methods can include steel frame support, anchor bolt support, grouting reinforcement, etc. Then, the support data for the above methods is calculated, and the support data is synchronously transmitted to the interface model. At this time, the slippage force when the interface model is adjusted to the point where slippage instability occurs is calculated, and the slippage force that the support data can eliminate is checked.

[0034] As a further aspect of the present invention: In step seven, step seven receives the information processed in step six, and when simulating the implementation of prevention and control measures in the interface model, it can compare and analyze the types and weights of materials used to form a material list, and then obtain the prices of many materials from the Internet to calculate the total price of materials used in different prevention and control measures.

[0035] As a further aspect of the present invention: In step eight, step eight receives the information processed in step seven. When converting the impact of various prevention and control measures on the interface model into a unified safety value, it simultaneously analyzes how various prevention and control measures can extend the time during which the interface model does not experience slippage instability. Then, it sorts the converted unified safety value and the extended time during which the interface model does not experience slippage instability. Based on the total price of materials used in various remedial methods, the converted unified safety value, and the extended time, it calculates the input-output ratio of the remedial methods. Finally, it sorts the input-output ratio and the total price to obtain four sets of sorting tables.

[0036] Compared with the prior art, the beneficial effects of the present invention by adopting the above technical solution are as follows:

[0037] 1. This invention, through the establishment of a structural interface model for gas-bearing coal seams, can monitor the geological environment of the surrounding rock and the impact of mining disturbances on the physical and mechanical properties of the structural interface, improve the accuracy of predicting the risk of slippage and instability of the structural interface of gas-bearing coal seams, provide different remedial methods for different stages of interface slippage and instability, and simulate and analyze the remedial methods to calculate the cost-effectiveness of the remedial methods, providing information reference for users.

[0038] 2. By establishing an interface model, this invention can simulate prevention and control measures on the interface model when they are obtained, thereby understanding the mitigation effect of the prevention and control measures on the slippage and instability of the gas-bearing coal seam structure interface. This provides users with a reference for the effectiveness of the prevention and control measures. When the gas-bearing coal seam structure interface is at risk of slippage and instability, users can select appropriate remedial solutions based on the degree of slippage risk and the effectiveness of various prevention and control measures.

[0039] 3. This invention, through the analysis of the funds used for prevention and control measures, can derive four sets of sorting table information. When slippage and instability occur at the structural interface of gas-bearing coal seams, it enables users to more flexibly select prevention and control measures, allowing users to be more adaptable and thus improving their ability to respond to changing circumstances. Different early warning methods can enable users to understand the urgency of the risk of slippage and instability at the structural interface of gas-bearing coal seams more quickly. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the method steps in an embodiment of the present invention. Detailed Implementation

[0041] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0042] Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0043] Please see the appendix Figure 1 This invention provides a method for early warning of risk of slippage and instability at the structural interface of gas-bearing coal seams, comprising the following steps:

[0044] Step 1: Monitor the structural interface of the gas-bearing coal seam in real time, and collect information on changes in the surrounding rock geological environment and mining disturbances;

[0045] Step 2: Establish a structural interface model for gas-bearing coal seams, and simulate the impact of various surrounding rock geological environments and mining disturbances on the structural interface of gas-bearing coal seams in the interface model.

[0046] Step 3: Extract the factors that have a significant impact on the stability of the sliding interface of the gas-bearing coal seam, including the surrounding rock geological environment and the factors that are significantly affected by mining disturbance.

[0047] Step 4: Predict the evolution of the physical and mechanical characteristics of the structural interface of the gas-bearing coal seam, and invert the prediction results of interface instability by changing different monitoring parameters;

[0048] Step 5: Collect various methods for preventing slippage and instability at the structural interface of gas-bearing coal seams, and incorporate them into graded prevention and control measures.

[0049] Step 6: Induce the interface model to experience critical slip instability and test the impact of various prevention and control measures on the interface model;

[0050] Step 7: Analyze the parameter requirements for preventing slippage and instability based on the structural interface of the gas-bearing coal seam;

[0051] Step 8: Convert the impact of various prevention and control measures on the interface model into a unified safety value, obtain four sorting tables, and then display the four sorting tables to the user.

[0052] In one embodiment of the present invention: In step one, when monitoring the structural interface of the gas-bearing coal seam, information can be obtained by means of rock detection, stress monitoring, gas monitoring, rock stratum displacement monitoring, seepage monitoring and on-site observation. The six sets of information obtained are summarized and analyzed to improve the accuracy of the information on the structural interface of the gas-bearing coal seam. At the same time, the method of monitoring the structural interface of the gas-bearing coal seam can be used to monitor the mining disturbance around the structural interface of the gas-bearing coal seam and obtain information on the changes in mining disturbance. In addition, information on changes in the geological environment of the surrounding rock can be obtained comprehensively through the Internet and on-site surveys.

[0053] In one embodiment of the present invention: Step two receives the information collected in step one, and simulates an interface model based on the structural interface information of the gas-bearing coal seam. Then, it simulates the changes in the surrounding rock geological environment and the changes in mining disturbance in the interface model. Specifically, the simulation method is to use GeoMode ll er to construct the input structural interface information of the gas-bearing coal seam, and then calculate the influence ratio of the information collected near the structural interface of the gas-bearing coal seam on the structural interface information of the gas-bearing coal seam. The collected information is then adjusted according to the influence ratio of the collected information on the structural interface information of the gas-bearing coal seam to observe its impact on the interface model.

[0054] In one embodiment of the present invention: In step three, the information processed in step two is received. Before extracting the factors that significantly affect the geological environment of the surrounding rock and mining disturbance on the structural interface of the gas-bearing coal seam, the environmental change information and the mining disturbance change information need to be broken down into single factors. This facilitates the viewing of the impact of single factors on the structural interface of the gas-bearing coal seam and makes it easier to control environmental factors. The specific breakdown method is as follows:

[0055] SI: Identify the factors in the environment that need to be studied;

[0056] S2. Depending on the research objectives and needs, appropriate methods can be selected to separate environmental factors.

[0057] S3. When studying a single environmental factor, first control the influence of factors other than the single environmental factor on the structural interface of the gas-bearing coal seam.

[0058] S4. The influence of a single factor on the structural interface of gas-bearing coal seams is comprehensively derived.

[0059] Then, the individual factors are simulated and input into the interface model to obtain the influence of all individual factors on the interface model, and convert them into influence values. Finally, the influence values ​​of all individual factors are sorted to obtain the individual factors that have a greater impact on the interface model.

[0060] In one embodiment of the present invention: Step four receives the information processed in step three. When predicting whether there is a risk of slippage and instability at the structural interface of a gas-bearing coal seam, simulation can be performed in the interface model. Environmental change information and mining disturbance change information are simulated and transmitted to the interface model. Simulation speed can be set so that users can more intuitively view the impact of various environmental and mining disturbance changes on the interface model. In addition, three warning levels are set, and the simulation results corresponding to different warning levels are as follows:

[0061] Level 1 is indicated by a green indicator, meaning that the interface model shows no signs of slippage or instability after simulating a set time interval;

[0062] Level 2 is indicated by a yellow label, signifying that the interface model may slip and become unstable after a set time interval in the simulation.

[0063] Level 3 is indicated by red, meaning that after simulating a set time interval, the interface model initially shows signs of slippage instability or has even begun to slippage instability.

[0064] Different early warning methods are adopted for different prediction results, enabling users to formulate more targeted mitigation measures for the risk of slippage and instability of gas-bearing coal seam structural interfaces.

[0065] In one embodiment of the present invention: Step five involves collecting various methods to mitigate slippage and instability at the structural interface of gas-bearing coal seams, and then establishing basic, intermediate, and advanced method libraries using MySQL, Microsoft SQL Server, Oracle Database, and PostgreSQL. The distinguishing criteria for different method libraries are as follows:

[0066] The methods recorded in the basic method library are for situations where there are signs of slippage and instability at the structural interface of gas-bearing coal seams.

[0067] The methods recorded in the intermediate-level method library are for situations where the structural interface of gas-bearing coal seams begins to slip and become unstable, but the impact on mine production safety is relatively small, although there are certain safety hazards.

[0068] The advanced method library records methods for situations where the slippage and instability of the structural interface of gas-bearing coal seams pose a significant threat to mine production safety and may lead to serious safety hazards such as coal seam water infiltration and roof collapse.

[0069] By recording data using the methods described above, when different stages of risk appear at the structural interface of gas-bearing coal seams, more reasonable prevention and control measures can be proposed for the slippage and instability risks at different stages.

[0070] In one embodiment of the present invention: in step six, step six receives the information processed in step five, adjusts the interface model to the state of slip instability, then matches corresponding prevention and control measures for different situations, and simulates the implementation of different prevention and control measures in the interface model to analyze their effect on alleviating slip instability of gas-bearing coal seam structural interfaces.

[0071] In one embodiment of the present invention: in step seven, step seven receives the information processed in step six, and when simulating the implementation of prevention and control measures in the interface model, it can compare and analyze the types and weights of materials used to form a material list, and then obtain the prices of many materials from the Internet to calculate the total price of materials used in different prevention and control measures.

[0072] In one embodiment of the present invention: In step eight, step eight receives the information processed in step seven. When converting the impact of various prevention and control measures on the interface model into a unified safety value, it simultaneously analyzes the time during which various prevention and control measures can extend the time during which the interface model does not have the risk of slippage and instability. Then, it sorts the converted unified safety value and the time during which the interface model does not have the risk of slippage and instability. Then, it calculates the input-output ratio of the remedial measures based on the total price of the materials used in various remedial measures, the converted unified safety value, and the extended time. Finally, it sorts the input-output ratio and the total price to obtain four sets of sorting tables.

[0073] Example 1, please refer to the appendix. Figure 1When collecting data on the geological environment of the surrounding rock, actual field surveys can be conducted to further obtain information on environmental changes near the structural interface of the gas-bearing coal seam. Furthermore, various sensors can be used to collect information on environmental changes near the structural interface of the gas-bearing coal seam that are invisible to the naked eye, thus enabling a more comprehensive collection of environmental changes.

[0074] Example 2, please refer to the appendix. Figure 1 When simulating the impact of various surrounding rock geological environments and mining disturbances on the structural interface of gas-bearing coal seams, the impact of various surrounding rock geological environments and mining disturbances on the structural interface of gas-bearing coal seams can also be obtained from press conferences held by various universities and nationally certified institutions, thereby reducing the simulation content and improving the simulation efficiency.

[0075] Example 3, please refer to the appendix. Figure 1 When collecting various methods to mitigate slippage instability at the structural interface of gas-bearing coal seams, hypothetical methods can be added. These hypothetical methods can then be simulated and experimentally verified. This allows for divergent thinking regarding slippage instability at the structural interface of gas-bearing coal seams, leading to many new methods. Furthermore, during simulation testing of prevention and control measures, the required material list can be calculated by scaling down the model, further estimating the cost of the method and providing users with financial references.

[0076] Specifically, by establishing a structural interface model for gas-bearing coal seams, it is possible to monitor the geological environment of the surrounding rock and the impact of mining disturbances on the physical and mechanical properties of the structural interface, improve the accuracy of predicting the risk of slippage and instability at the structural interface of gas-bearing coal seams, provide different remedial methods for different stages of interface slippage and instability, and simulate and analyze the remedial methods to calculate the cost-effectiveness of the remedial methods, providing information reference for users.

[0077] Specifically, by establishing an interface model, when prevention and control measures are obtained, these measures can be simulated on the interface model to understand their mitigation effect on the slippage and instability of the gas-bearing coal seam structure interface. This provides users with a reference for the effectiveness of the prevention and control measures. When the gas-bearing coal seam structure interface is at risk of slippage and instability, users can select appropriate remedial solutions based on the degree of slippage risk and the effectiveness of various prevention and control measures.

[0078] Specifically, by analyzing the funds used for prevention and control measures, four sets of ranking information can be obtained. When the gas-bearing coal seam structural interface experiences slippage and instability, users can more flexibly choose prevention and control measures, enabling them to adapt better and improve their ability to respond to changing circumstances. Different early warning methods can help users understand the urgency of the risk of slippage and instability at the gas-bearing coal seam structural interface more quickly.

[0079] Working principle:

[0080] Step 1: Monitor the structural interface of the gas-bearing coal seam in real time using rock detection, stress monitoring, gas monitoring, rock stratum displacement monitoring, seepage monitoring, and field observation. Collect information on changes in the surrounding rock geological environment and mining disturbances. Simulate the interface model based on the structural interface information of the gas-bearing coal seam. Simulate the impact of various changes in the surrounding rock geological environment and mining disturbances on the structural interface of the gas-bearing coal seam in the interface model.

[0081] Step 2: Decompose environmental change information and mining disturbance change information into individual factors, then simulate and input each individual factor into the interface model to obtain the impact of all individual factors on the interface model, and convert the impact of all individual factors on the interface model into impact values. Extract the factors that have a significant impact on the sliding stability of the gas-bearing coal seam structural interface from the surrounding rock geological environment and mining disturbance, predict the changes of the gas-bearing coal seam structural interface, and express different prediction results through different early warning methods. This makes the measures more targeted when users formulate mitigation measures for the risk of sliding instability of the gas-bearing coal seam structural interface.

[0082] Step 3: Collect various methods to mitigate the slippage and instability of the structural interface of gas-bearing coal seams, and use the primary method library, intermediate method library and high-order method library to record the prevention and control measures when the structural interface of gas-bearing coal seams experiences different stages of slippage and instability risk.

[0083] Step 4: Adjust the interface model to a state where slippage instability occurs, detect the impact of various prevention and control measures on the interface model, analyze the effectiveness of different prevention and control measures in alleviating slippage instability at the gas-bearing coal seam structural interface, analyze the funds required to alleviate slippage instability based on the gas-bearing coal seam structural interface, convert the impact of various remedial methods on the interface model into a unified safety value, sort the converted unified safety value, extend the time before the interface model does not slippage instability, the input-output ratio of the remedial method, and the total price of the materials used in the remedial method, and obtain four sorting tables. At this point, the entire workflow is complete.

[0084] Furthermore, this application uses specific terms to describe its embodiments. For example, "one embodiment," "an embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this application. Therefore, it should be emphasized and noted that "one embodiment," "an embodiment," or "an alternative embodiment" mentioned twice or more in different locations in this specification do not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application can be appropriately combined.

[0085] Some aspects of this application can be executed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The aforementioned hardware or software may be referred to as a "data block," "module," "engine," "unit," "component," or "system." The processor may be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. Furthermore, aspects of this application may manifest as computer products residing in one or more computer-readable media, including computer-readable program code. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, magnetic tapes, etc.), optical discs (e.g., compressed CDs, digital multifunction DVDs, etc.), smart cards, and flash memory devices (e.g., cards, sticks, key drives, etc.).

[0086] A computer-readable medium may contain a propagated data signal containing computer program code, for example, on baseband or as part of a carrier wave. This propagated signal may take various forms, including electromagnetic, optical, and so on, or suitable combinations thereof. A computer-readable medium can be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, apparatus, or device to enable communication, propagation, or transmission of a program for use. The program code located on the computer-readable medium can be propagated through any suitable medium, including radio, cable, fiber optic cable, radio frequency signals, or similar media, or any combination of the above media.

[0087] Similarly, it should be noted that, in order to simplify the description of the present application and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of the embodiments of the present application sometimes combines multiple features into one embodiment, drawing, or description thereof. However, this disclosure method does not imply that the subject matter of the present application requires more features than those mentioned in the claims. In fact, the number of features in an embodiment is less than all the features of a single embodiment disclosed above. Some embodiments use numbers describing the quantity of components and attributes. It should be understood that such numbers used in the description of embodiments are modified in some examples with the modifiers "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the number is allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by the individual embodiment. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of scope in some embodiments of the present application are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0088] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Any user skilled in the art can make possible variations and modifications without departing from the spirit and scope of the invention. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the invention fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for early warning of risk of slippage and instability at the structural interface of gas-bearing coal seams, characterized in that: Includes the following steps: Step 1: Monitor the structural interface of the gas-bearing coal seam in real time, and collect information on changes in the surrounding rock geological environment and mining disturbances; Step 2: Establish a structural interface model for gas-bearing coal seams, and simulate the impact of various surrounding rock geological environments and mining disturbances on the structural interface of gas-bearing coal seams in the interface model. Step 3: Extract the factors that have a significant impact on the stability of the sliding interface of the gas-bearing coal seam, including the surrounding rock geological environment and the factors that are significantly affected by mining disturbance. Step 4: Predict the evolution of the physical and mechanical characteristics of the structural interface of the gas-bearing coal seam, and invert the prediction results of interface instability by changing different monitoring parameters; Step 5: Collect various methods for preventing slippage and instability at the structural interfaces of gas-bearing coal seams, and incorporate them into graded prevention and control measures; Step 6: Induce the interface model to experience critical slip instability and test the impact of various prevention and control measures on the interface model; Step 7: Analyze the types and weights of materials used to prevent slippage and instability based on the structural interface of the gas-bearing coal seam, and calculate the total price of materials used for different prevention and control measures. Step 8: Convert the impact of various prevention and control measures on the interface model into a unified safety value, obtain four sorting tables, and then display the four sorting tables to the user. Step 8 receives the information processed in Step 7. While converting the impact of various prevention and control measures on the interface model into a unified safety value, it simultaneously analyzes how each prevention and control measure can extend the time during which the interface model is not at risk of slippage and instability. Then, it sorts the converted unified safety value and the extended time during which the interface model is not at risk of slippage and instability. Next, it calculates the input-output ratio of each remedial method based on the total price of the materials used, the converted unified safety value, and the extended time. Finally, it sorts the input-output ratio and the total price to obtain four sets of sorting tables.

2. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 1, characterized in that: In step one, when monitoring the structural interface of the gas-bearing coal seam, information is obtained through rock detection, stress monitoring, gas monitoring, rock stratum displacement monitoring, seepage monitoring, and on-site observation. The six sets of information are summarized and analyzed to improve the accuracy of the information on the structural interface of the gas-bearing coal seam. At the same time, the method of monitoring the structural interface of the gas-bearing coal seam is used to monitor the mining disturbance around the structural interface of the gas-bearing coal seam and obtain information on the changes in mining disturbance. In addition, information on changes in the geological environment of the surrounding rock is obtained comprehensively through the Internet and on-site surveys.

3. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 2, characterized in that: Step two receives the information collected in step one and simulates an interface model based on the gas-bearing coal seam structural interface information. Then, it simulates the changes in the surrounding rock geological environment and the changes in mining disturbance information in the interface model. Specifically, the simulation method uses GeoModeller to construct the input gas-bearing coal seam structural interface information, then calculates the influence ratio of the information collected near the gas-bearing coal seam structural interface on the gas-bearing coal seam structural interface information, and adjusts the gas-bearing coal seam structural interface according to the influence ratio of the collected information on the gas-bearing coal seam structural interface information to see the impact of the adjusted gas-bearing coal seam structural interface parameters on the interface model.

4. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 3, characterized in that: In step three, the information processed in step two is received. Before extracting the factors that significantly affect the geological environment of the surrounding rock and mining disturbance on the structural interface of the gas-bearing coal seam, the environmental change information and mining disturbance change information need to be broken down into individual factors. This facilitates the viewing of the impact of individual factors on the structural interface of the gas-bearing coal seam and makes it easier to control environmental factors. The specific breakdown method is as follows: S1. Identify the factors in the environment that need to be studied; S2. Based on the research objectives and needs, break down the environmental factors; S3. When studying a single environmental factor, first control the influence of factors other than the single environmental factor on the structural interface of the gas-bearing coal seam. S4. The influence of a single factor on the structural interface of gas-bearing coal seams is comprehensively derived. The individual factors are simulated and input into the interface model to obtain the influence of all individual factors on the interface model. The influence values ​​of all individual factors are then converted into numerical values. Finally, the numerical values ​​of all individual factors are sorted to identify the individual factors that have the greatest impact on the interface model.

5. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 4, characterized in that: Step four receives the information processed in step three. When predicting whether there is a risk of slippage and instability at the structural interface of the gas-bearing coal seam, a simulation is performed in the interface model. Environmental change information and mining disturbance change information are simulated and transmitted to the interface model. At the same time, the simulation speed is set so that users can more intuitively see the impact of various changes in the environment and mining disturbances on the interface model. In addition, three warning levels are set, and the simulation results corresponding to different warning levels are as follows: Level 1 is indicated by a green indicator, meaning that the interface model shows no signs of slippage or instability after simulating a set time interval; Level 2 is indicated by a yellow label, signifying that the interface model may slip and become unstable after a set time interval in the simulation. Level 3 is indicated by red, meaning that after simulating a set time interval, the interface model initially shows signs of slippage instability or has even begun to slippage instability. Different early warning methods are adopted for different prediction results, enabling users to formulate more targeted mitigation measures for the risk of slippage and instability of gas-bearing coal seam structural interfaces.

6. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 1, characterized in that: In step five, when collecting various methods to mitigate slippage and instability at the structural interface of gas-bearing coal seams, a library of basic, intermediate, and advanced methods is established using MySQL, Microsoft SQL Server, Oracle Database, and PostgreSQL. The criteria for distinguishing between the different method libraries are as follows: The methods recorded in the basic method library are for situations where there are signs of slippage and instability at the structural interface of gas-bearing coal seams. The methods recorded in the intermediate-level method library are for situations where the structural interface of gas-bearing coal seams begins to slip and become unstable, but the impact on mine production safety is relatively small, although there are certain safety hazards. The advanced method library records methods that address situations where slippage and instability of the structural interface in gas-bearing coal seams pose a significant threat to mine production safety, leading to coal seam water infiltration and roof collapse. By recording data using the methods described above, when different stages of risk appear at the structural interface of gas-bearing coal seams, more reasonable prevention and control measures can be proposed for the slippage and instability risks at different stages.

7. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 6, characterized in that: In step six, the information processed in step five is received, the interface model is adjusted to the state of slip instability, and then corresponding prevention and control measures are matched for different situations. Different prevention and control measures are simulated in the interface model to analyze their effect on alleviating slip instability of the gas-bearing coal seam structure interface.

8. The method for early warning of risk of slippage and instability at the structural interface of a gas-bearing coal seam according to claim 7, characterized in that: In step seven, the information processed in step six is ​​received. When the prevention and control measures are simulated in the interface model, the types and weights of materials used can be compared and analyzed to form a material list. Then, the prices of many materials are obtained from the Internet to calculate the total price of materials used for different prevention and control measures.

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