Rock burst early warning method and device fused with hidden danger position analysis

Abstract

The invention provides a rock burst early warning method and device fused with hidden danger position analysis, and the method comprises the steps: obtaining the type information, position information and severity of each hidden danger based on the hidden danger information of a first time period, and determining a hidden danger key region based on the type information, position information and severity of each hidden danger; determining a potential dangerous area based on the depth of the roadway where the hidden danger key area is located; obtaining a rock burst dangerous area based on data collected by rock burst sensors deployed at all positions of the coal mine; determining an evaluation dangerous area through an area impact risk evaluation method; based on the potential dangerous area, the rock burst dangerous area and the evaluation dangerous area, different types of monitoring areas are obtained, corresponding monitoring and early warning measures are adopted for the different types of monitoring areas, and the accuracy degree of rock burst monitoring and early warning is improved.

Description

Technical Field

[0001] This application relates to the field of data analysis technology, and in particular to a method and device for early warning of rockbursts that integrates hazard location analysis. Background Technology

[0002] Rockbursts are coal ejection phenomena that occur during deep coal seam mining. They release kinetic energy and are accompanied by noise, vibration, air blasts, or shock waves. In severe cases, they can cause damage to the roof and floor, even destroying roadways and resulting in casualties. They are a typical deep engineering geological hazard. Monitoring and early warning of rockbursts are crucial tasks in rockburst-prone mines. Comprehensive monitoring, proactive and effective early warning, and the implementation of reliable mitigation measures are paramount in rockburst prevention.

[0003] Currently, various indicators have been proposed both domestically and internationally to constrain the monitoring equipment, layout, monitoring content, and indicators for rockbursts. Through years of practice, comprehensive indices and multi-factor coupled rockburst hazard assessment methods have been developed. Extensive research has also been conducted on the division of rockburst hazard zones, clarifying the dangerous locations and degrees of danger in different mines and working faces. A basic consensus has been reached: rockbursts do not occur in all mines or all roadways; they are extreme disasters that occur only in key hazardous areas under extreme conditions. Therefore, it can be said that areas with a strong rockburst hazard state have a relatively high probability of experiencing rockburst disasters and require close attention in daily production. However, existing assessment methods still have the following shortcomings: They cannot cover the entire mine area due to limitations in current monitoring methods and technologies; current rockburst hazard assessment methods do not adequately consider the flexible and varied situations that occur during underground coal mining; different working faces and different roadways have differences, and existing methods cannot cover all situations that occur in each roadway; the accuracy and layout of the monitoring instruments themselves have certain blind spots. Summary of the Invention

[0004] This application provides a method and device for early warning of rockbursts that integrates hazard location analysis, thereby at least partially solving one of the technical problems in related technologies. The technical solution of this disclosure is as follows: In a first aspect, embodiments of this application propose a method for early warning of rockbursts that integrates hazard location analysis, including: Based on the coal mine hazard information in the first time period, the type, location and severity of each hazard are obtained, and the key hazard areas are determined based on the type, location and severity of each hazard. Based on the depth of the tunnels where the key hazard areas are located, potential danger zones are identified; Based on the data collected by rockburst sensors deployed throughout the coal mine, rockburst hazard zones are identified. The assessment risk area was determined using regional impact hazard assessment methods; Based on the potential hazard area, the rockburst hazard area, and the assessed hazard area, different types of monitoring areas are obtained, and corresponding monitoring and early warning measures are adopted for the different types of monitoring areas. Secondly, embodiments of this application propose a rockburst early warning device that integrates hazard location analysis, comprising: The hazard analysis module is used to obtain the type, location, and severity of each hazard based on coal mine hazard information in the first time period, and to determine key hazard areas based on the type, location, and severity of each hazard. The hazard analysis module is also used to determine potential danger areas based on the depth of the roadway where the key hazard area is located; The perception and analysis module is used to identify rockburst hazard areas based on data collected by rockburst sensors deployed throughout the coal mine. The evaluation and analysis module is used to determine the hazardous areas for evaluation using regional impact hazard assessment methods. The monitoring and early warning module is used to obtain different types of monitoring areas based on the potential hazard area, the rockburst hazard area, and the assessed hazard area, and to adopt corresponding monitoring and early warning measures for the different types of monitoring areas.

[0005] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect.

[0006] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method described in the first aspect.

[0007] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0008] The rockburst early warning method and device provided in this application, which integrates hazard location analysis, identifies areas with rockburst hazards through three methods: hazard analysis, rockburst sensing analysis, and rockburst risk assessment. By comparing the areas identified by these three methods, different types of monitoring areas are determined. This involves cross-calibrating the actual hazardous areas in the roadways as reflected by hazard data with the hazardous areas analyzed from the monitoring data, adjusting the locations of hazardous areas with potential rockburst hazards, improving the accuracy of rockburst hazard location determination, avoiding problems such as inaccurate hazard location identification due to poor instrument monitoring data quality, insufficient instrument deployment leading to monitoring blind spots, and insufficient instrument data analysis capabilities causing inaccurate hazard location identification. This solution employs different monitoring measures for different monitoring areas. By dividing these areas into multiple categories, the focus of monitoring and prevention is highlighted, improving the accuracy of rockburst monitoring and early warning.

[0009] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0010] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a rockburst early warning method integrating hazard location analysis provided in this application embodiment; Figure 2 This is a block diagram of a rockburst early warning device that integrates hazard location analysis, provided in an embodiment of this application. Figure 3 This is a block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0011] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0012] The following description, with reference to the accompanying drawings, describes a method, apparatus, and equipment for early warning of rockbursts that integrates hazard location analysis according to embodiments of this application.

[0013] Figure 1 This is a flowchart illustrating a rockburst early warning method that integrates hazard location analysis, as provided in an embodiment of this application.

[0014] It should be noted that the execution subject of the rockburst early warning method integrating hazard location analysis in this application embodiment is the rockburst early warning device integrating hazard location analysis in this application embodiment. The rockburst early warning device integrating hazard location analysis can be configured in an electronic device so that the electronic device can perform the rockburst early warning function integrating hazard location analysis.

[0015] like Figure 1 As shown, the rockburst early warning method integrating hazard location analysis includes the following steps: Step S101: Based on the coal mine hazard information in the first time period, obtain the type, location and severity of each hazard, and determine the key hazard areas based on the type, location and severity of each hazard.

[0016] One approach involves acquiring hazard information from a coal mine over a period of time, obtaining statistical data on hazards of different types, locations, and times, determining the severity of the target hazard type based on this data, identifying whether it qualifies as a key hazard area based on this severity, and then further defining the key hazard area based on the hazard's location information. For example, areas with significant roadway deformation or severely damaged anchor bolts would be designated as key hazard areas.

[0017] This can be understood as follows: through daily hazard management analysis, targeted statistical analysis is conducted on hazards of different times, locations, and types, thereby identifying the sections of the roadway most prone to problems and determining the areas of the roadway prone to deformation as key hazard areas.

[0018] Step S102: Based on the depth of the tunnel where the key hazard area is located, determine the potential hazard area.

[0019] In some embodiments, determining a potential hazard area based on the depth of the roadway where the key hazard area is located includes: determining a first key hazard area where the depth of the roadway where the key hazard area is located is greater than a depth threshold, and extending both sides of the first key hazard area by a first length to obtain a potential hazard area; determining a second key hazard area where the depth of the roadway where the key hazard area is located is less than or equal to the depth threshold, and extending both sides of the second key hazard area by a second length to obtain a potential hazard area.

[0020] As an example, based on the stratum where the tunnel is located, for deep tunnels with a burial depth of more than 600m, a potential danger zone is defined by extending 100m on each side of the key hazard area; for tunnels with a burial depth of less than 600m, a potential danger zone is defined by extending 50m on each side of the designated key hazard area.

[0021] Step S103: Based on the data collected by the rockburst sensors deployed in various parts of the coal mine, the rockburst hazard area is obtained.

[0022] In some embodiments, the rockburst hazard area is obtained based on data collected by rockburst sensors deployed at various locations in the coal mine, including: obtaining the rockburst hazard area based on data collected by rockburst sensors deployed at various locations in the coal mine and combined with a rockburst prediction model.

[0023] As an example, by analyzing the data collected by rockburst sensors deployed in coal mines and combining it with the danger thresholds determined by national standards, rockburst hazard areas and the corresponding rockburst hazard levels can be identified.

[0024] Step S104: Determine the hazardous area to be evaluated using the regional impact hazard assessment method.

[0025] In some embodiments, the method of regional impact hazard assessment is used to determine the hazardous area to be assessed, including: determining the hazardous area to be assessed based on the waveform of microseismic events obtained from microseismic monitoring and the coupling relationship between microseismic wave velocity and stress.

[0026] In some embodiments, the method of regional impact hazard assessment determines the hazardous area to be assessed, including: determining the hazardous area to be assessed based on CT detection data and the coupling relationship between the wave velocity and stress of the detection signal.

[0027] As an example, in accordance with the provisions of the detailed rules for the prevention and control of coal mine rockbursts, a rockburst risk assessment is conducted on the target roadway to determine the assessment risk area with rockburst risk.

[0028] Step S105: Based on potential hazardous areas, rockburst hazardous areas, and assessed hazardous areas, different types of monitoring areas are obtained, and corresponding monitoring and early warning measures are adopted for different types of monitoring areas.

[0029] In some embodiments, different types of monitoring areas are obtained based on potential hazard areas, rockburst hazard areas, and assessed hazard areas, including: areas where potential hazard areas, rockburst hazard areas, and assessed hazard areas overlap as key monitoring and control areas; areas in potential hazard areas, rockburst hazard areas, and assessed hazard areas other than key monitoring and control areas as key monitoring areas; and areas within the coal mine other than key monitoring and control areas and key monitoring areas as general monitoring areas.

[0030] As an example, the areas identified by the three methods are compared. The overlapping areas are designated as key monitoring and control areas, the non-overlapping areas identified by each of the three methods are designated as key monitoring areas, and the remaining areas in the coal mine are designated as general monitoring areas.

[0031] This application embodiment verifies the dangerous areas determined based on hazard data with the dangerous areas determined based on data generated by monitoring instruments, combining hazard analysis with rockburst monitoring information to achieve complementary linkage of multiple methods, thereby improving the accuracy of rockburst monitoring and early warning.

[0032] In some embodiments, corresponding monitoring and early warning measures are adopted for different types of monitoring areas, including: increasing the types of monitoring sensors for key monitoring and control areas; conducting key monitoring for key monitoring and control areas; and conducting routine monitoring for general monitoring areas.

[0033] As an example, by dividing the monitoring areas into three categories, we can increase the number of monitoring sensors in key monitoring and prevention areas to improve the quality of monitoring and early warning; strengthen management and conduct daily monitoring in key monitoring areas; and conduct daily monitoring in general monitoring areas.

[0034] The rockburst early warning method integrating hazard location analysis in this application identifies areas with rockburst hazards through three methods: hazard analysis, rockburst perception analysis, and rockburst risk assessment. By comparing the areas identified by these three methods, different types of monitoring areas are determined. This involves cross-calibrating the actual hazardous areas in the roadways as reflected by hazard data with the hazardous areas analyzed from the monitoring data, adjusting the locations of hazardous areas with rockburst hazards, improving the accuracy of rockburst hazard location determination, avoiding problems such as inaccurate hazard location identification due to poor instrument monitoring data quality, insufficient instrument deployment leading to monitoring blind spots, and insufficient instrument data analysis capabilities causing inaccurate hazard location identification. This solution adopts different monitoring measures for different monitoring areas. By dividing the monitoring areas into multiple categories, the focus of monitoring and prevention is highlighted, improving the accuracy of rockburst monitoring and early warning.

[0035] To achieve the above embodiments, this application also proposes a rockburst early warning device that integrates hazard location analysis. Figure 2 This is a schematic diagram of a rockburst early warning device that integrates hazard location analysis, provided as an embodiment of this application. Figure 2 As shown, the rockburst early warning device integrating hazard location analysis may include: hazard analysis module 210, sensing analysis module 220, evaluation analysis module 230 and monitoring and early warning module 240.

[0036] Among them, the hidden danger analysis module 210 is used to obtain the type information, location information and severity of each hidden danger based on the coal mine hidden danger information in the first time period, and to determine the key areas of hidden danger based on the type information, location information and severity of each hidden danger; The hazard analysis module 210 is also used to determine potential danger areas based on the depth of the roadway where the key hazard area is located; The sensing and analysis module 220 is used to identify rockburst hazard areas based on data collected by rockburst sensors deployed throughout the coal mine. The evaluation and analysis module 230 is used to determine the evaluation hazard area using the regional impact hazard assessment method; The monitoring and early warning module 240 is used to obtain different types of monitoring areas based on potential hazardous areas, rockburst hazardous areas, and assessed hazardous areas, and to adopt corresponding monitoring and early warning measures for different types of monitoring areas.

[0037] Furthermore, in one possible implementation of this application embodiment, when the hazard analysis module 210 determines the potential hazard area based on the depth of the roadway where the key hazard area is located, it is specifically used for: Based on the depth of the roadway where the key hidden danger area is located, the first key hidden danger area where the depth of the roadway is greater than the depth threshold is determined. After extending the first key hidden danger area to both sides by a first length, the potential danger area is obtained. Based on the depth of the tunnel where the key hidden danger area is located, a second key hidden danger area is determined where the depth of the tunnel is less than or equal to the depth threshold. After extending the second key hidden danger area to both sides by a second length, the potential danger area is obtained.

[0038] Furthermore, in one possible implementation of this application embodiment, the perception analysis module 220 is specifically used for: Based on data collected by rockburst sensors deployed throughout the coal mine, and combined with a rockburst prediction model, rockburst hazard zones are identified.

[0039] Furthermore, in one possible implementation of this application embodiment, the evaluation and analysis module 230 is specifically used for: Based on the microseismic event waveforms obtained from microseismic monitoring, and according to the coupling relationship between microseismic wave velocity and stress, the hazardous areas are determined.

[0040] Furthermore, in one possible implementation of this application embodiment, the evaluation and analysis module 230 is specifically used for: Based on CT scan data, the hazardous area is determined according to the coupling relationship between the wave velocity of the scan signal and the stress.

[0041] Furthermore, in one possible implementation of this application embodiment, when the monitoring and early warning module 240 obtains different types of monitoring areas based on potential hazardous areas, rockburst hazardous areas, and assessed hazardous areas, it is specifically used for: Areas where potential hazard areas, rock burst hazard areas, and assessed hazard areas overlap are designated as key monitoring and prevention areas; Areas outside the key monitoring and control areas among potentially hazardous areas, rockburst hazardous areas, and assessed hazardous areas shall be designated as key monitoring areas. Areas within coal mines other than key monitoring and control areas and key monitoring areas are designated as general monitoring areas.

[0042] Furthermore, in one possible implementation of this application embodiment, when the monitoring and early warning module 240 adopts corresponding monitoring and early warning measures for different types of monitoring areas, it is specifically used for: For key monitoring and control areas, increase the types of monitoring sensors; For key monitoring and control areas, key monitoring will be conducted; For general monitoring areas, routine monitoring will be conducted.

[0043] It should be noted that the explanation of the aforementioned embodiment of the rockburst early warning method based on the analysis of the location of fusion hazards also applies to the rockburst early warning device based on the analysis of the location of fusion hazards in this embodiment, and will not be repeated here.

[0044] To implement the above embodiments, this application also proposes an electronic device. Please see [link to relevant documentation]. Figure 3 , Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 3 As shown, the electronic device 300 includes: a processor 301 and a memory 302 communicatively connected to the processor 301; the memory 302 stores computer execution instructions; the processor 301 executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0045] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0046] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0047] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0048] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0049] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A rock burst pre-warning method fusing hidden hazard location analysis, characterized in that, The method comprises the following steps: obtain type information, location information and severity of each hidden danger based on the coal mine hidden danger information of the first time period, determine a hidden danger key area based on the type information, location information and severity of each hidden danger; determine a potential danger area based on the depth of the roadway where the hidden danger key area is located; obtain an impact ground pressure danger area based on the data collected by the impact ground pressure sensors deployed at each department of the coal mine; determine an evaluation danger area by a regional impact danger evaluation method; obtain different types of monitoring areas based on the potential danger area, the impact ground pressure danger area and the evaluation danger area, and adopt corresponding monitoring and early warning measures for the different types of monitoring areas.

2. The method of claim 1, wherein, determine a potential danger area based on the depth of the roadway where the hidden danger key area is located, comprising: determine a first hidden danger key area whose roadway depth is greater than a depth threshold based on the depth of the roadway where the hidden danger key area is located, and obtain a potential danger area by extending the first hidden danger key area by a first length on both sides; determine a second hidden danger key area whose roadway depth is less than or equal to the depth threshold based on the depth of the roadway where the hidden danger key area is located, and obtain a potential danger area by extending the second hidden danger key area by a second length on both sides.

3. The method of claim 1, wherein, obtain an impact ground pressure danger area based on the data collected by the impact ground pressure sensors deployed at each department of the coal mine, comprising: obtain an impact ground pressure danger area based on the data collected by the impact ground pressure sensors deployed at each department of the coal mine in combination with an impact ground pressure prediction model.

4. The method of claim 1, wherein, determine an evaluation danger area by a regional impact danger evaluation method, comprising: determine an evaluation danger area based on the microseismic event waveforms obtained by microseismic monitoring according to the coupling relationship between microseismic wave velocity and stress.

5. The method of claim 1, wherein, determine an evaluation danger area by a regional impact danger evaluation method, comprising: determine an evaluation danger area based on CT detection data according to the coupling relationship between the wave velocity of the detection signal and stress.

6. The method of claim 1, wherein, obtain different types of monitoring areas based on the potential danger area, the impact ground pressure danger area and the evaluation danger area, comprising: regard the area that exists in the potential danger area, the impact ground pressure danger area and the evaluation danger area as a key monitoring and prevention area; regard the area other than the key monitoring and prevention area in the potential danger area, the impact ground pressure danger area and the evaluation danger area as a key monitoring area; regard the area other than the key monitoring and prevention area and the key monitoring area in the coal mine as a general monitoring area.

7. The method of claim 6, wherein, adopt corresponding monitoring and early warning measures for the different types of monitoring areas, comprising: increase the types of monitoring sensors for the key monitoring and prevention area; perform key monitoring for the key monitoring and prevention area; perform daily monitoring for the general monitoring area.

8. A rock burst early warning device that fuses hazard location analysis, characterized by, comprise: a hidden danger analysis module configured to obtain type information, location information and severity of each hidden danger based on the coal mine hidden danger information of the first time period, and determine a hidden danger key area based on the type information, location information and severity of each hidden danger; The hidden danger analysis module is further configured to determine a potential danger area based on a depth of a roadway in which the hidden danger focus area is located. The perception analysis module is configured to obtain an impact ground pressure danger area based on data collected by impact ground pressure sensors deployed at different locations in the coal mine. The evaluation analysis module is configured to determine an evaluation danger area by using a regional impact danger evaluation method. The monitoring and early warning module is configured to obtain different types of monitoring areas based on the potential danger area, the impact ground pressure danger area, and the evaluation danger area, and to use corresponding monitoring and early warning measures for the different types of monitoring areas.

9. An electronic device, comprising: The method comprises: a processor, and a memory connected to the processor in communication; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the method of any one of claims 1-7.

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