Rock burst early warning method and system based on microseismic energy and support stress coupling monitoring

Abstract

The present application belongs to the field of surrounding rock rock burst early warning, and provides a rock burst early warning method and system based on microseismic energy and support stress coupling monitoring, which carries out deep gold mine roadway surrounding rock microseismic monitoring and anchor rod support stress monitoring; a microseismic energy dataset is established, and statistical analysis is carried out to obtain a microseismic energy early warning index; the anchor rod support stress is analyzed, and then the anchor rod stress early warning index is determined; the microseismic energy early warning index and the anchor rod stress early warning index are information fused, a joint early warning method based on microseismic energy and support stress is established, and the surrounding rock rock burst grade is evaluated and early warned. The present application can effectively reduce the rock burst risk and protect the safety of construction personnel and mechanical equipment.

Description

Technical Field

[0001] This invention belongs to the field of rockburst early warning technology, specifically relating to a rockburst early warning method and system based on the coupled monitoring of microseismic energy and support stress. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Rockburst is a nonlinear dynamic phenomenon in which an energetic rock mass instantaneously releases energy along the excavated free face. During a rockburst, rock fragments, debris, and particles of varying sizes carry a large amount of energy and are propelled or thrown into underground spaces such as tunnels, often causing production losses and threatening personnel safety. Therefore, early warning of rockburst conditions has become an important means of reducing rockburst hazards. Currently, microseismic monitoring is often used for rockburst early warning, but relying solely on microseismic monitoring to predict rockburst occurrences is too simplistic and insufficient. Meanwhile, anchor bolt stress is commonly used as a means of monitoring mine pressure, and research on using anchor bolt stress for rockburst early warning is limited. Furthermore, existing methods for predicting rockbursts through microseismic monitoring and anchor bolt support mostly focus on qualitative analysis of the relationship between microseismic data, support stress, and rockburst events, failing to provide multi-level early warning of rockburst severity, with limited predictive indicators, low accuracy, and poor specificity. Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a rockburst early warning method and system based on coupled monitoring of microseismic energy and support stress. This invention extracts indicators from microseismic energy and anchor support stress to establish a new rockburst early warning method, which can effectively avoid the randomness of single-parameter early warning and improve the accuracy of rockburst early warning evaluation.

[0005] According to some embodiments, the first aspect of the present invention provides a rockburst early warning method based on coupled monitoring of microseismic energy and support force, employing the following technical solution:

[0006] Rockburst early warning methods based on coupled monitoring of microseismic energy and support stress include:

[0007] Conduct microseismic monitoring of the surrounding rock in deep gold mine roadways and stress monitoring of anchor bolt support;

[0008] Establish a microseismic energy dataset and obtain microseismic energy early warning indicators through statistical analysis;

[0009] The stress on the anchor bolt support is analyzed to determine the early warning index of the anchor bolt stress.

[0010] By fusing information from microseismic energy early warning indicators and anchor bolt stress early warning indicators, a joint early warning method based on microseismic energy and support stress is established to evaluate and warn of rockburst levels in surrounding rock.

[0011] Furthermore, the microseismic energy early warning indicators include the daily average microseismic energy and the density of high-energy microseismic events.

[0012] Furthermore, the formula for calculating the average daily microseismic energy is as follows:

[0013]

[0014] In the formula, This represents the average daily micro-seismic energy. Let N be the total energy of microseismic events on a single day, N be the total number of microseismic events on a single day, and i be the i-th microseismic event on a single day.

[0015] Furthermore, the formula for calculating the density of high-energy microseismic events is as follows:

[0016]

[0017] In the formula, ρ is the density of high-energy events. The sum of high-energy events within the time window, where T is the length of the time window, and D is the total number of events. j For the Dth time window j A large-energy microseismic event, where n is an integer.

[0018] The classification of high-energy, medium-energy, and low-energy microseismic events is as follows:

[0019] Set the microseismic energy range [E1, E2];

[0020] Microseismic events falling within the energy range are classified as medium-energy microseismic events.

[0021] Microseismic events with an energy range greater than the maximum value E2 are classified as high-energy microseismic events.

[0022] Microseismic events with energy values ​​less than the minimum value E1 in the energy range are classified as low-energy microseismic events.

[0023] Furthermore, the anchor bolt stress warning index is the anchor bolt stress increase rate, which specifically includes:

[0024]

[0025] In the formula, v F Let F1 be the rate of increase in anchor bolt force, Δt be the time difference before and after the change in anchor bolt force, F1 be the axial force of the anchor bolt after the change, and F2 be the axial force of the anchor bolt before the change.

[0026] Furthermore, by fusing information from microseismic energy early warning indicators and anchor bolt stress early warning indicators, a joint early warning method based on microseismic energy and support stress is established to evaluate and warn of rockburst levels in the surrounding rock. Specifically:

[0027] When the daily average microseismic energy exceeds the maximum energy limit, the density of high-energy events exceeds the maximum density limit, and the rate of increase in anchor bolt force exceeds the maximum rate of increase in force, a strong rockburst is predicted to occur in the warning roadway.

[0028] When the daily average microseismic energy is between the second-level energy setpoint and the maximum energy limit, the density of large energy events is between the second-level density setpoint and the maximum density limit, and the anchor bolt force increase rate is between the second-level force increase rate setpoint and the maximum force increase rate limit, a moderate rockburst is predicted to occur in the warning roadway.

[0029] When the daily average microseismic energy is between the minimum energy lower limit and the second-level energy setting value, the density of large energy events is between the minimum density lower limit and the second-level density setting value, and the anchor bolt force increase rate is between the minimum force increase rate lower limit and the second-level force increase rate setting value, a minor rockburst is predicted to occur in the warning roadway.

[0030] According to some embodiments, a second aspect of the present invention provides a rockburst early warning system based on coupled monitoring of microseismic energy and support force, employing the following technical solution:

[0031] A rockburst early warning system based on coupled monitoring of microseismic energy and support stress includes:

[0032] The microseismic and anchor bolt support stress monitoring module is configured to conduct microseismic monitoring of the surrounding rock and anchor bolt support stress monitoring in deep gold mine roadways;

[0033] The module for determining microseismic energy early warning indicators is configured to establish a microseismic energy dataset and obtain microseismic energy early warning indicators through statistical analysis.

[0034] The anchor bolt stress early warning index determination module is configured to analyze the stress on the anchor bolt support and then determine the anchor bolt stress early warning index.

[0035] The surrounding rock burst level early warning module is configured to integrate microseismic energy early warning indicators with anchor bolt stress early warning indicators to establish a joint early warning method based on microseismic energy and support stress, and to evaluate and warn of the surrounding rock burst level.

[0036] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium.

[0037] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the rockburst early warning method based on the coupled monitoring of microseismic energy and support force as described in the first aspect above.

[0038] According to some embodiments, a fourth aspect of the present invention provides a computer device.

[0039] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the rockburst early warning method based on the coupling monitoring of microseismic energy and support force as described in the first aspect above.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0041] The solution described in this invention classifies rockburst hazard zones by combining the daily average microseismic energy index, the density index of high-energy events, and the anchor bolt stress increase rate, thereby determining the degree of rockburst hazard. This effectively solves the problem that existing assessment indicators are too singular and cannot classify rockburst hazard levels at multiple levels, thus improving the accuracy of rockburst prediction. At the same time, by establishing anchor bolt strength saturation rate and anchor bolt stress increase rate indicators, rockburst occurrence can be warned by the anchor bolt stress situation, capturing the precursor information of rockbursts and improving the accuracy of forecast results.

[0042] The solution described in this invention classifies rockburst hazard zones by combining daily average microseismic energy index, high-energy event density index, and anchor bolt stress increase rate, thereby determining the degree of rockburst hazard. This effectively solves the problem that existing assessment indicators are too singular and cannot classify rockburst hazard levels at multiple levels, thus improving the accuracy of rockburst prediction. Furthermore, by establishing anchor bolt strength saturation rate and anchor bolt stress increase rate indicators, rockburst occurrence can be warned based on anchor bolt stress conditions, capturing precursory information and improving the accuracy of prediction results. Simultaneously, a quantitative analysis of the relationship between microseismic data, support stress, and rockburst events is conducted, establishing multiple prediction indicators to improve the targeting of rockburst prediction events. Attached Figure Description

[0043] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0044] Figure 1 This is a flowchart of a rockburst early warning method based on the coupled monitoring of microseismic energy and support force in an embodiment of the present invention. Detailed Implementation

[0045] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0046] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0047] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0048] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0049] Example 1

[0050] like Figure 1 As shown, this embodiment provides a rockburst early warning method based on the coupled monitoring of microseismic energy and support force. This embodiment uses the application of this method to a server as an example for illustration. It can be understood that this method can also be applied to a terminal, or to a system including a terminal, a server, and a system, and can be implemented through the interaction between the terminal and the server. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communication, middleware services, domain name services, CDN security services, and big data and artificial intelligence platforms. The terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. The terminal and the server can be directly or indirectly connected through wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0051] Conduct microseismic monitoring of the surrounding rock in deep gold mine roadways and stress monitoring of anchor bolt support;

[0052] Establish a microseismic energy dataset and obtain microseismic energy early warning indicators through statistical analysis;

[0053] The stress on the anchor bolt support is analyzed to determine the early warning index of the anchor bolt stress.

[0054] By fusing information from microseismic energy early warning indicators and anchor bolt stress early warning indicators, a joint early warning method based on microseismic energy and support stress is established to evaluate and warn of rockburst levels in surrounding rock.

[0055] The microseismic energy early warning indicators include the daily average microseismic energy and the density of high-energy microseismic events.

[0056] like Figure 1 As shown, this embodiment of the invention provides a rockburst early warning method based on coupled monitoring of microseismic energy and support stress, including:

[0057] Step 1: Conduct microseismic monitoring of the surrounding rock in deep gold mine roadways and stress monitoring of anchor bolt support;

[0058] In practice, a microseismic monitoring system is used. Microseismic probes and sensors are strategically placed at the construction site and, after debugging, begin operation. This system enables real-time monitoring of microseismic events throughout the mine and automatically records microseismic activity. The sensors detect continuous waveform information, which is then processed and analyzed using specialized software to identify microseismic events and calculate their time energy.

[0059] In practice, anchor bolt dynamometers are reasonably arranged at the construction site to monitor changes in anchor bolt axial force; and anchor bolt yield load is obtained through static tensile tests.

[0060] Step 2: Establish a microseismic energy dataset and perform statistical analysis to obtain the daily average microseismic energy index and the density index of large energy events.

[0061] In practical implementation, the formula for calculating the average daily microseismic energy is as follows:

[0062]

[0063] In the formula, This represents the average daily micro-seismic energy. Let N be the total energy of microseismic events on a single day, N be the total number of microseismic events on a single day, and i be the i-th microseismic event on a single day.

[0064] In practical implementation, the formula for calculating the density of high-energy microseismic events is as follows:

[0065]

[0066] In the formula, ρ is the density of high-energy events. The sum of high-energy events within the time window, where T is the length of the time window, and D is the total number of events. j For the Dth time window j A large-energy microseismic event, where n is an integer (n = 1, 2, 3...).

[0067] In practical implementation, the classification of high-energy microseismic events, medium-energy microseismic events, and low-energy microseismic events is as follows:

[0068] Set the microseismic energy range [E1, E2];

[0069] Microseismic events falling within the energy range are classified as medium-energy microseismic events.

[0070] Microseismic events with an energy range greater than the maximum value E2 are classified as high-energy microseismic events.

[0071] Microseismic events with energy values ​​less than the minimum value E1 in the energy range are classified as low-energy microseismic events.

[0072] Step 3: Analyze the stress on the anchor bolt support to obtain the anchor bolt strength saturation rate and the anchor bolt stress increase rate.

[0073] In practical implementation, the formula for calculating the anchor bolt strength saturation rate is as follows:

[0074]

[0075] In the formula, λ is the anchor strength saturation rate, and F is the axial force value monitored for the anchor. y This represents the yield load of the anchor bolt. It can be understood that the anchor bolt strength saturation rate here represents the degree of saturation of the anchor bolt strength. When this saturation rate is within a set range, the anchor bolt is in an effective state, and rockburst warnings can be issued according to this warning method.

[0076] In practical implementation, the formula for calculating the increase rate of stress on the anchor bolt is as follows:

[0077]

[0078] In the formula, v F Let F1 be the rate of increase in anchor bolt force, Δt be the time difference before and after the change in anchor bolt force, F1 be the axial force of the anchor bolt after the change, and F2 be the axial force of the anchor bolt before the change.

[0079] Step 4: Integrate the microseismic energy early warning index with the anchor bolt stress early warning index to establish a joint early warning method based on microseismic energy and support stress, and evaluate and warn of the rock burst level of the surrounding rock.

[0080] In practice, the specific implementation is as follows:

[0081] When the daily average microseismic energy exceeds the maximum energy limit, the density of high-energy events exceeds the maximum density limit, and the rate of increase in anchor bolt force exceeds the maximum rate of increase in force, a strong rockburst is predicted to occur in the warning roadway.

[0082] When the daily average microseismic energy is between the second-level energy setpoint and the maximum energy limit, the density of large energy events is between the second-level density setpoint and the maximum density limit, and the anchor bolt force increase rate is between the second-level force increase rate setpoint and the maximum force increase rate limit, a moderate rockburst is predicted to occur in the warning roadway.

[0083] When the daily average microseismic energy is between the minimum energy lower limit and the second-level energy setting value, the density of large energy events is between the minimum density lower limit and the second-level density setting value, and the anchor bolt force increase rate is between the minimum force increase rate lower limit and the second-level force increase rate setting value, a minor rockburst is predicted to occur in the warning roadway.

[0084] In a specific embodiment, the joint early warning method based on microseismic energy and support stress is specifically manifested as follows:

[0085] when ρ≥10 and v F When the rock burst rate is ≥85%, a severe rock burst may occur in the tunnel.

[0086] when 5 ≤ ρ < 10 and 75% ≤ v F When the rock burst rate is less than 85%, a moderate rock burst may occur in the tunnel.

[0087] when 1≤ρ<5 and 65%≤v F When the rock burst rate is less than 75%, a minor rock burst may occur in the tunnel.

[0088] Example 2

[0089] This embodiment provides a rockburst early warning system based on coupled monitoring of microseismic energy and support stress, including:

[0090] The microseismic and anchor bolt support stress monitoring module is configured to conduct microseismic monitoring of the surrounding rock and anchor bolt support stress monitoring in deep gold mine roadways;

[0091] The module for determining microseismic energy early warning indicators is configured to establish a microseismic energy dataset and obtain microseismic energy early warning indicators through statistical analysis.

[0092] The anchor bolt stress early warning index determination module is configured to analyze the stress on the anchor bolt support and then determine the anchor bolt stress early warning index.

[0093] The surrounding rock burst level early warning module is configured to integrate microseismic energy early warning indicators with anchor bolt stress early warning indicators to establish a joint early warning method based on microseismic energy and support stress, and to evaluate and warn of the surrounding rock burst level.

[0094] The examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in Embodiment 1 above. It should be noted that the above modules, as part of the system, can be executed in a computer system such as a set of computer-executable instructions.

[0095] The descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0096] The proposed system can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and the division of modules described above is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed.

[0097] Example 3

[0098] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the rockburst early warning method based on the coupling monitoring of microseismic energy and support force as described in Embodiment 1 above.

[0099] Example 4

[0100] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the rockburst early warning method based on the coupling monitoring of microseismic energy and support force as described in Embodiment 1 above.

[0101] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0102] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0103] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0104] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0105] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0106] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A rockburst early warning method based on microseismic energy and support force coupling monitoring, characterized in that, The method comprises the following steps: carrying out microseismic monitoring and anchor rod support stress monitoring of deep gold mine roadway surrounding rock; establishing a microseismic energy data set, and statistically analyzing to obtain a microseismic energy early warning index, wherein the microseismic energy early warning index comprises daily average microseismic energy and large energy microseismic event density; analyzing the anchor rod support stress, and then determining an anchor rod stress early warning index, wherein the anchor rod stress early warning index is an anchor rod stress increase rate, and the anchor rod stress increase rate is specifically as follows: ； In the formula, is the force increase rate of the anchor rod, Δ t is the time difference before and after the force change of the anchor rod, F 1 is the changed anchor rod axial force, F 2 is the anchor rod axial force before the change; fusing the microseismic energy early warning index and the anchor rod stress early warning index, establishing a joint early warning method based on microseismic energy and support stress, and evaluating and early warning the surrounding rock rockburst grade, specifically as follows: when the daily average microseismic energy is greater than the maximum energy upper limit value, the large energy event density is greater than the maximum density upper limit value, and the anchor rod stress increase rate is greater than the maximum stress increase rate upper limit value, the roadway is early warned to occur strong rockburst; when the daily average microseismic energy is between the second-level energy setting value and the maximum energy upper limit value, the large energy event density is between the second-level density setting value and the maximum density upper limit value, and the anchor rod stress increase rate is between the second-level stress increase rate setting value and the maximum stress increase rate upper limit value, the roadway is early warned to occur moderate rockburst; when the daily average microseismic energy is between the minimum energy lower limit value and the second-level energy setting value, the large energy event density is between the minimum density lower limit value and the second-level density setting value, and the anchor rod stress increase rate is between the minimum stress increase rate lower limit value and the second-level stress increase rate setting value, the roadway is early warned to occur slight rockburst.

2. The rockburst pre-warning method based on microseismic energy and support force coupling monitoring of claim 1, wherein, The daily average microseismic energy calculation formula is specifically as follows: ； wherein is the single-day average microseismic energy, is the single-day microseismic energy sum, N is the single-day microseismic event total, is the single-day microseismic event total, is the single-day microseismic event.

3. The rockburst pre-warning method based on microseismic energy and support force coupling monitoring of claim 1, wherein, The large energy microseismic event density calculation formula is specifically as follows: ； wherein is the large energy event density, is the total number of large energy events in the time window, T is the length of the time window, is the i-th large energy microseismic event in the time window, is the i-th large energy microseismic event in the time window, is an integer.

4. The rockburst pre-warning method based on microseismic energy and support force coupling monitoring of claim 3, wherein, For the division of large energy microseismic events, medium energy microseismic events and small energy microseismic events, specifically as follows: Setting microseismic energy bins ; microseismic events in the energy interval are medium energy microseismic events; greater than the maximum value of the energy interval a microseismic event is a large energy microseismic event; less than the minimum value of the energy interval Microseismic events of less than the minimum value of the energy interval are small energy microseismic events.

5. A rockburst early warning system based on microseismic energy and support force coupling monitoring, characterized in that, The method comprises the following steps: a microseismic and anchor rod support stress monitoring module is configured to carry out microseismic monitoring and anchor rod support stress monitoring of deep gold mine roadway surrounding rock; a microseismic energy early warning index determination module is configured to establish a microseismic energy data set, and statistically analyze to obtain a microseismic energy early warning index, wherein the microseismic energy early warning index comprises daily average microseismic energy and large energy microseismic event density; an anchor rod stress early warning index determination module is configured to analyze the anchor rod support stress, and then determine an anchor rod stress early warning index, wherein the anchor rod stress early warning index is an anchor rod stress increase rate, and the anchor rod stress increase rate is specifically as follows: ； In the formula, is the anchor force increase rate, Δ t is the time difference before and after the anchor force change, F 1 is the changed anchor axial force, F 2 is the anchor axial force before the change; a surrounding rock rockburst grade early warning module is configured to fuse the microseismic energy early warning index and the anchor rod stress early warning index, establish a joint early warning method based on microseismic energy and support stress, and evaluate and early warn the surrounding rock rockburst grade, specifically as follows: when the daily average microseismic energy is greater than the maximum energy upper limit value, the large energy event density is greater than the maximum density upper limit value, and the anchor rod stress increase rate is greater than the maximum stress increase rate upper limit value, the roadway is early warned to occur strong rockburst; When the single-day average microseismic energy is between the second-level energy setting value and the maximum energy upper limit value, the high-energy event density is between the second-level density setting value and the maximum density upper limit value, and the anchor force increase rate is between the second-level force increase rate setting value and the maximum force increase rate upper limit value, it is warned that the roadway will have moderate rockburst; When the single-day average microseismic energy is between the minimum energy lower limit value and the second-level energy setting value, the high-energy event density is between the minimum density lower limit value and the second-level density setting value, and the anchor force increase rate is between the minimum force increase rate lower limit value and the second-level force increase rate setting value, it is warned that the roadway will have slight rockburst.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program, when executed by the processor, implements the steps in the rockburst early warning method based on microseismic energy and support force coupling monitoring in any one of claims 1-4.

7. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor, when executing the program, implements the steps in the rockburst early warning method based on microseismic energy and support force coupling monitoring in any one of claims 1-4.

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