Rock burst early warning method and system based on micro-seismic energy and support stress coupling monitoring

Abstract

The invention belongs to the field of surrounding rock rockburst early warning, and provides a rockburst early warning method and system based on micro-seismic energy and support stress coupling monitoring, which are used for carrying out deep gold mine roadway surrounding rock micro-seismic monitoring and anchor rod support stress monitoring. Establishing a micro-seismic energy data set, and carrying out statistical analysis to obtain a micro-seismic energy early warning index; the anchor rod supporting stress is analyzed, and then an anchor rod stress early warning index is determined; and carrying out information fusion on the micro-seismic energy early-warning index and the anchor rod stress early-warning index, establishing a combined early-warning method based on micro-seismic energy and support stress, and carrying out evaluation and early-warning on the rock burst grade of the surrounding rock. Rockburst occurrence risks can be effectively reduced, and safety of constructors and mechanical equipment is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of surrounding rock burst early warning, and in particular relates to a rock burst early warning method and system based on microseismic energy and support force coupling monitoring. Background Art

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

[0003] Rockburst is a nonlinear dynamic phenomenon in which energy rock mass releases energy instantaneously along the free surface of excavation. When rockburst occurs, rocks, fragments and particles of different sizes will carry a large amount of energy to be ejected or thrown into underground spaces such as tunnels, often causing losses to production and threatening personnel safety. Therefore, early warning of surrounding rock burst has become an important means to reduce the hazards of rockburst. At present, microseismic monitoring is often used for rockburst early warning, but it is too simple and not comprehensive to predict the occurrence of rockburst only by microseismic monitoring. At the same time, anchor stress is usually used as a means of monitoring mine pressure, and there are few studies on rockburst early warning using anchor stress. In addition, the existing means of predicting rockburst through microseismic monitoring and anchor support are mostly concentrated on the qualitative analysis of the relationship between microseismic data, support stress and rockburst events, and cannot provide multi-level early warning of the degree of rockburst. There are few prediction indicators, low accuracy and poor pertinence. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a rockburst warning method and system based on coupled monitoring of microseismic energy and support force. The present invention extracts indicators of microseismic energy and anchor support force and establishes a new rockburst warning method, which can effectively avoid the randomness of single parameter warning and improve the accuracy of rockburst warning evaluation.

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

[0006] The rockburst early warning method based on coupled monitoring of microseismic energy and support force includes:

[0007] Carry out microseismic monitoring of surrounding rocks and anchor support stress monitoring in deep gold mine tunnels;

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

[0009] Analyze the anchor support stress and determine the anchor stress warning index;

[0010] The microseismic energy warning index and the anchor force warning index are integrated to establish a joint warning method based on microseismic energy and support force, and to evaluate and warn the rockburst level of the surrounding rock.

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

[0012] Furthermore, the calculation formula for the daily average microseismic energy is specifically:

[0013]

[0014] In the formula, is the daily average microseismic energy, is the total microseismic energy of a single day, N is the total number of microseismic events on a single day, and i is the i-th microseismic event on a single day.

[0015] Furthermore, the calculation formula for the high-energy microseismic event density is specifically:

[0016]

[0017] Where ρ is the high energy event density, is the total number of high energy events in the time window, T is the length of the time window, and D j The Dth j large-energy microseismic events, n is an integer.

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

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

[0020] Microseismic events within the energy range are medium-energy microseismic events;

[0021] Microseismic events with energy greater than the maximum value E2 of the energy interval are large-energy microseismic events;

[0022] Microseismic events with energy less than the minimum value E1 of the energy interval are small-energy microseismic events.

[0023] Furthermore, the anchor rod stress warning indicator is the anchor rod stress increase rate, and the anchor rod stress increase rate is specifically:

[0024]

[0025] In the formula, v F is the anchor force increase rate, Δt is the time difference before and after the anchor force changes, F1 is the anchor axial force after the change, and F2 is the anchor axial force before the change.

[0026] Furthermore, the microseismic energy warning index and the anchor force warning index are integrated to establish a joint warning method based on microseismic energy and support force to evaluate and warn the surrounding rock burst level. Specifically:

[0027] When the daily average microseismic energy is greater than the maximum energy upper limit, the high energy event density is greater than the maximum density upper limit, and the anchor force increase rate is greater than the maximum force increase rate upper limit, a strong rock burst will occur in the warning tunnel;

[0028] When the daily average microseismic energy is between the second-level energy setting value and the maximum energy upper limit, the high-energy event density is between the second-level density setting value and the maximum density upper limit, and the anchor force increase rate is between the second-level force increase rate setting value and the maximum force increase rate upper limit, a moderate rockburst occurs in the warning tunnel;

[0029] When the daily average microseismic energy is between the minimum energy lower limit and the second-level energy setting value, the large energy event density is between the minimum density lower limit and the second-level density setting value, and the anchor force increase rate is between the minimum force increase rate lower limit and the second-level force increase rate setting value, a minor rockburst occurs in the warning tunnel.

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

[0031] The rockburst early warning system based on microseismic energy and support force coupling monitoring includes:

[0032] The microseismic and bolt support stress monitoring module is configured to carry out microseismic monitoring of surrounding rock and bolt support stress monitoring in deep gold mine tunnels;

[0033] A microseismic energy early warning index determination module is configured to establish a microseismic energy data set and obtain a microseismic energy early warning index through statistical analysis;

[0034] An anchor force warning index determination module is configured to analyze the anchor support force and then determine the anchor force warning index;

[0035] The surrounding rock burst level warning module is configured to fuse the microseismic energy warning index with the anchor force warning index, establish a joint warning method based on microseismic energy and support force, and evaluate and warn 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 stores a computer program, which, when executed by a processor, implements the steps of the rockburst early warning method based on 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 comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the rockburst early warning method based on coupled monitoring of microseismic energy and support force as described in the first aspect above are implemented.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The scheme described in the present invention classifies the rock burst hazard zone into grades by combining the single-day average microseismic energy index and the large energy event density index, as well as the anchor stress increase rate, and determines the rock burst hazard degree. This can effectively solve the problem that the existing evaluation index is too single and cannot classify the rock burst hazard degree at multiple levels, thereby improving the accuracy of rock burst prediction. At the same time, anchor strength saturation rate and anchor stress increase rate indicators are established, and rock burst occurrence is warned through the anchor stress situation, so as to grasp the rock burst precursor information and improve the accuracy of the forecast result.

[0042] The scheme described in the present invention can effectively solve the problem that the existing evaluation indicators are too single and cannot classify the rock burst hazard levels at multiple levels by combining the single-day average microseismic energy index and the large energy event density index as well as the anchor force increase rate to classify the rock burst hazard zone and determine the rock burst hazard level, thereby improving the accuracy of rock burst prediction. Anchor strength saturation rate and anchor force increase rate indicators are established to give early warning of rock burst occurrence through anchor force conditions, grasp rock burst precursor information, and improve the accuracy of forecast results. At the same time, the relationship between microseismic data, support force and rock burst events is quantitatively analyzed, and multiple prediction indicators are established to improve the pertinence of rock burst prediction events. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0044] Figure 1 It is a flow chart of a rockburst early warning method based on coupled monitoring of microseismic energy and support force in an embodiment of the present invention. DETAILED DESCRIPTION

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

[0046] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

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

[0048] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0049] Embodiment 1

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

[0051] Carry out microseismic monitoring of surrounding rocks and anchor support stress monitoring in deep gold mine tunnels;

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

[0053] Analyze the anchor support stress and determine the anchor stress warning index;

[0054] The microseismic energy warning index and the anchor force warning index are integrated to establish a joint warning method based on microseismic energy and support force, and to evaluate and warn the rockburst level of the surrounding rock.

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

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

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

[0058] In the specific implementation, through the microseismic monitoring system, microseismic probes and seismic pickups are reasonably arranged at the construction site, and they start working after debugging, so that they can monitor microseismic events in the entire mine in real time and automatically record microseismic activities. The seismic pickup detects continuous waveform information, processes and analyzes it through professional software, detects and identifies microseismic events, and calculates the time energy of microseismic events.

[0059] In the specific implementation, the anchor axial force changes are monitored by reasonably arranging anchor dynamometers at the construction site; the anchor yield load is obtained through static tensile tests.

[0060] Step 2: Establish a microseismic energy data set and perform statistical analysis to obtain the daily average microseismic energy index and the high-energy event density index.

[0061] In a specific implementation, the calculation formula for the daily average microseismic energy is:

[0062]

[0063] In the formula, is the daily average microseismic energy, is the total microseismic energy of a single day, N is the total number of microseismic events on a single day, and i is the i-th microseismic event on a single day.

[0064] In a specific implementation, the high-energy microseismic event density calculation formula is:

[0065]

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

[0067] In specific implementation, the classification of large-energy microseismic events, medium-energy microseismic events, and small-energy microseismic events is as follows:

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

[0069] Microseismic events within the energy range are medium-energy microseismic events;

[0070] Microseismic events with energy greater than the maximum value E2 of the energy interval are large-energy microseismic events;

[0071] Microseismic events with energy less than the minimum value E1 of the energy interval are small-energy microseismic events.

[0072] Step 3: Analyze the anchor support stress to obtain anchor strength saturation rate and anchor stress increase rate indicators;

[0073] In a specific implementation, the anchor strength saturation rate calculation formula is:

[0074]

[0075] Where λ is the anchor strength saturation rate, F is the anchor monitoring axial force value, and F y It is understandable that the anchor strength saturation rate here is the saturation of the anchor strength. When the saturation rate is within the set range, the anchor is in an effective state, and the rock burst warning can be carried out according to the warning method.

[0076] In a specific implementation, the calculation formula for analyzing the anchor force increase rate is:

[0077]

[0078] In the formula, v F is the anchor force increase rate, Δt is the time difference before and after the anchor force changes, F1 is the anchor axial force after the change, and F2 is the anchor axial force before the change.

[0079] Step 4: Fuse the information of microseismic energy warning index and anchor force warning index, establish a joint warning method based on microseismic energy and support force, and evaluate and warn the rockburst level of the surrounding rock;

[0080] In the specific implementation, specifically:

[0081] When the daily average microseismic energy is greater than the maximum energy upper limit, the high energy event density is greater than the maximum density upper limit, and the anchor force increase rate is greater than the maximum force increase rate upper limit, a strong rock burst will occur in the warning tunnel;

[0082] When the daily average microseismic energy is between the second-level energy setting value and the maximum energy upper limit, the high-energy event density is between the second-level density setting value and the maximum density upper limit, and the anchor force increase rate is between the second-level force increase rate setting value and the maximum force increase rate upper limit, a moderate rockburst occurs in the warning tunnel;

[0083] When the daily average microseismic energy is between the minimum energy lower limit and the second-level energy setting value, the large energy event density is between the minimum density lower limit and the second-level density setting value, and the anchor force increase rate is between the minimum force increase rate lower limit and the second-level force increase rate setting value, a minor rockburst occurs in the warning tunnel.

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

[0085] when ρ ≥ 10 and v F When ≥85%, a strong rock burst may occur in the tunnel;

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

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

[0088] Embodiment 2

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

[0090] The microseismic and bolt support stress monitoring module is configured to carry out microseismic monitoring of surrounding rock and bolt support stress monitoring in deep gold mine tunnels;

[0091] A microseismic energy early warning index determination module is configured to establish a microseismic energy data set and obtain a microseismic energy early warning index through statistical analysis;

[0092] An anchor force warning index determination module is configured to analyze the anchor support force and then determine the anchor force warning index;

[0093] The surrounding rock burst level warning module is configured to fuse the microseismic energy warning index with the anchor force warning index, establish a joint warning method based on microseismic energy and support force, and evaluate and warn 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 contents disclosed in the above embodiment 1. 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 description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

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

[0097] Embodiment 3

[0098] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the rockburst early warning method based on coupled monitoring of microseismic energy and support force as described in the first embodiment above are implemented.

[0099] Embodiment 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, the steps in the rockburst early warning method based on coupled monitoring of microseismic energy and support force as described in the first embodiment are implemented.

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

[0102] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 produce 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.

[0103] 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.

[0104] 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 in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

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

[0106] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it 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 on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A rockburst early warning method based on coupled monitoring of microseismic energy and support force, characterized in that: include: Carry out microseismic monitoring of surrounding rocks and anchor support stress monitoring in deep gold mine tunnels; Establish a microseismic energy data set and obtain microseismic energy early warning indicators through statistical analysis; Analyze the anchor support stress and determine the anchor stress warning index; The microseismic energy warning index and the anchor force warning index are integrated to establish a joint warning method based on microseismic energy and support force, and to evaluate and warn the rockburst level of the surrounding rock.

2. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 1, characterized in that: The microseismic energy early warning indicators include the daily average microseismic energy and the density of large-energy microseismic events.

3. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 2 is characterized in that: The calculation formula for the daily average microseismic energy is specifically: In the formula, is the daily average microseismic energy, is the total microseismic energy of a single day, N is the total number of microseismic events on a single day, and i is the i-th microseismic event on a single day.

4. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 2, characterized in that: The formula for calculating the density of large-energy microseismic events is specifically: Where ρ is the high energy event density, is the total number of high energy events in the time window, T is the length of the time window, and D j The Dth j large-energy microseismic events, n is an integer.

5. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 4, characterized in that: The classification of large-energy microseismic events, medium-energy microseismic events, and small-energy microseismic events is as follows: Set the microseismic energy range [E1, E2]; Microseismic events within the energy range are medium-energy microseismic events; Microseismic events with energy greater than the maximum value E2 of the energy interval are large-energy microseismic events; Microseismic events with energy less than the minimum value E1 of the energy interval are small-energy microseismic events.

6. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 1, characterized in that: The anchor rod stress warning indicator is the anchor rod stress increase rate, and the anchor rod stress increase rate is specifically: In the formula, v F is the anchor force increase rate, Δt is the time difference before and after the anchor force changes, F1 is the anchor axial force after the change, and F2 is the anchor axial force before the change.

7. The rockburst early warning method based on coupled monitoring of microseismic energy and support force according to claim 1, characterized in that: The microseismic energy warning index and the anchor force warning index are integrated to establish a joint warning method based on microseismic energy and support force, and to evaluate and warn the surrounding rock burst level. Specifically: When the daily average microseismic energy is greater than the maximum energy upper limit, the high energy event density is greater than the maximum density upper limit, and the anchor force increase rate is greater than the maximum force increase rate upper limit, a strong rock burst will occur in the warning tunnel; When the daily average microseismic energy is between the second-level energy setting value and the maximum energy upper limit, the high-energy event density is between the second-level density setting value and the maximum density upper limit, and the anchor force increase rate is between the second-level force increase rate setting value and the maximum force increase rate upper limit, a moderate rockburst occurs in the warning tunnel; When the daily average microseismic energy is between the minimum energy lower limit and the second-level energy setting value, the large energy event density is between the minimum density lower limit and the second-level density setting value, and the anchor force increase rate is between the minimum force increase rate lower limit and the second-level force increase rate setting value, a minor rockburst occurs in the warning tunnel.

8. The rockburst early warning system based on microseismic energy and support force coupling monitoring is characterized by: include: The microseismic and bolt support stress monitoring module is configured to carry out microseismic monitoring of surrounding rock and bolt support stress monitoring in deep gold mine tunnels; A microseismic energy early warning index determination module is configured to establish a microseismic energy data set and obtain a microseismic energy early warning index through statistical analysis; An anchor force warning index determination module is configured to analyze the anchor support force and then determine the anchor force warning index; The surrounding rock burst level warning module is configured to fuse the microseismic energy warning index with the anchor force warning index, establish a joint warning method based on microseismic energy and support force, and evaluate and warn the surrounding rock burst level.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the rockburst early warning method based on coupled monitoring of microseismic energy and support force as described in any one of claims 1 to 7 are implemented.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the rockburst early warning method based on coupled monitoring of microseismic energy and support force as described in any one of claims 1 to 7 are implemented.

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