A coal mine rock burst monitoring device and method based on GIS and MS technology

Abstract

The application discloses a coal mine rock burst monitoring device and method based on GIS and MS technology, and comprises the following steps: S01, collecting basic data based on an MS microseismic monitoring platform; S02, filtering and fusing the collected basic data; S03, performing numerical determination on the data through a dynamic analysis module, and performing database matching on underground microseismic activities; S04, performing multi-parameter attribute editing on analysis results, and performing regional division on sections with different dangerous degrees; S05, managing energy early warning indexes of rock burst events through a command management module, and establishing a prevention and control measure scheme; and S06, establishing a self-learning model, and constantly correcting and improving an early warning model library. The application can greatly eliminate command lag caused by insufficient position accuracy of a prediction site and inaccurate expression of spatial relations, and provides effective technical support for disaster emergency management and auxiliary command decision of a coal mine.

Description

Technical Field

[0001] This invention belongs to the field of disaster monitoring technology, and specifically relates to a coal mine rockburst monitoring device and method based on GIS and MS technology. Background Technology

[0002] In my country's coal mining process, rockburst, as a special form of mine pressure manifestation, has become a major hazard in coal mining, especially in deep mines, seriously threatening the safe production of coal mines. When rockburst occurs, the sudden, rapid, and violent release of strain energy in the coal and rock mass often leads to the instantaneous destruction of the coal and rock strata structure in the coal mining face or roadway, causing severe damage to the mine roadway and significant casualties.

[0003] The purpose of rockburst monitoring is to effectively prevent and reduce the occurrence of rockburst accidents. Rockburst monitoring in coal mines mainly includes two aspects: first, monitoring rockbursts in coal seams that already pose a rockburst hazard; and second, monitoring areas that currently do not pose a rockburst hazard but may experience rockbursts during mining operations.

[0004] Monitoring and surveillance are crucial components of coal mine rockburst disaster prevention and control. They are essential for timely implementation of regional preventative measures and localized mitigation measures to avoid impacting key areas. The main aspects of coal mine rockburst monitoring include time, location, and scale. Currently, mining geophysical methods used for coal mine rockburst monitoring include microseismic methods, acoustic emission methods, electromagnetic radiation methods, vibration methods, and gravity methods. The mainstream and widely adopted method is microseismic methods combined with CAD graphics technology. This approach can generally predict the possible location and position of rockbursts, and determine the intensity of the rockburst and the amount of energy released by the vibration. However, this method has limitations in accurately and effectively representing the predicted location and three-dimensional spatial relationships, posing varying degrees of application obstacles to emergency command and disaster management in sudden situations. Summary of the Invention

[0005] To address the aforementioned problems, the purpose of this invention is to provide a coal mine rockburst monitoring device and method based on GIS and MS technologies. This device automatically records microseismic activity and uses GIS technology to express spatial relationships. It utilizes seismic sensors in the microseismic system to receive waveforms of microseismic events, performs spatial location under specific conditions, identifies damage points, and combines the energy and magnitude released by the microseismic activity with GIS graphics for rapid reporting to the production command system, enabling timely countermeasures. This invention can significantly reduce command delays caused by insufficient accuracy in predicted location and inaccurate spatial relationship expression, providing effective technical support for coal mine disaster emergency management and auxiliary command decision-making.

[0006] The technical solution of this invention is: a coal mine rockburst monitoring device based on GIS and MS technology, comprising:

[0007] The MS microseismic monitoring platform includes the acquisition of information data on downhole microseismic activity and the fusion of multi-parameter data from the acquired data.

[0008] The dynamic analysis module is connected to the MS microseismic monitoring platform to analyze the fused data of downhole microseismic activity. Based on the analysis results, it further performs dynamic analysis on the location and energy data of rockbursts in downhole microseismic activity.

[0009] The Geographic Information System (GIS) platform is connected to the dynamic analysis module to edit the multi-parameter attributes of the analyzed data, and to divide areas with different levels of danger by comprehensively considering the superimposed influence of multiple factors.

[0010] The command and management module is connected to the geographic information system (GIS) platform to manage the energy early warning indicators of rockburst events and initiate corresponding critical management and command and management measures based on the evaluation criteria.

[0011] Furthermore, it also includes:

[0012] The dynamic analysis database is connected to the dynamic analysis module to store the data collected by the microseismic monitoring platform, the location data and energy data analyzed by the dynamic analysis module (2);

[0013] A geographic database, connected to the geographic information system (GIS) platform, stores geographic information data used for monitoring underground microseismic activity and rockburst activity;

[0014] The event command fusion database is connected to the command and management module and stores critical management data and disaster relief measures fusion data for rockburst event command.

[0015] Furthermore, the MS microseismic monitoring platform includes a monitoring data acquisition module and a basic data fusion module. The monitoring data acquisition module is used for acquiring and managing basic data for microseismic monitoring. Through trigger acquisition, waveform files that meet the trigger conditions are saved according to a certain naming and file format, including waveform settings, channel settings, and trigger threshold settings. The basic data fusion module is used for cleaning, filtering, and fusing the acquired basic data, defining data, classifying data, accessing content, update frequency, and specifying data format requirements, and providing a consistent data interface, including microseismic monitoring data, stress monitoring data, coal dust and drill cuttings data, support pre-bearing pressure, roof dynamic monitoring data, and ground sound monitoring data.

[0016] Furthermore, the dynamic analysis module includes a vibration location analysis module and an energy analysis module. The vibration location analysis module is used to monitor newly added event waveform files in the system, realize the entire process of effective channel screening, time-arrival identification, channel arrangement and combination, validity judgment, rapid positioning and error analysis, and provide positioning results. The energy analysis module is used to quantitatively evaluate the energy generated by microseismic events, including the analysis of the maximum energy value of the event, the total energy of the event, and the analysis of the continuous increase of energy value over multiple days.

[0017] Furthermore, the vibration location analysis module, by referencing the location analysis of the seismic source coordinates, describes the time from the seismic source location to the seismic origin as follows:

[0018]

[0019] In the formula: x0, y0, z0 are the coordinates of the earthquake source; t0 is the time of earthquake origination; x i y i , z i Let t be the coordinates of the i-th observation station; i Let v be the time it takes for the P-wave to reach the i-th observation station; v(x0, y0, z0) is the propagation speed of the P-wave in the medium.

[0020] Furthermore, the Geographic Information System (GIS) platform includes an attribute editing module, a hazardous area identification module, and a work site management module. The attribute editing module is used to maintain attribute data in the GIS, including geographic information of various layers and objects, and can input attribute parameter information of each object according to configured permissions. The hazardous area identification module classifies underground areas into levels based on the layer attributes of geographic information and the identification of geological structures, roof conditions, coal seam bifurcation, and thickness changes: weak, medium, and strong impact hazard areas. The work site management module manages information on underground production and shutdown locations and functions in conjunction with the command and management module.

[0021] Furthermore, the command and management module includes an energy early warning module, a critical index management module, and a hazard mitigation measures management module. The energy early warning module sets early warning indicators for the energy values ​​of underground microseismic activity in specific areas of the underground coal mining face and tunneling face. The critical index management module manages events monitored by coal seam drill cuttings in areas exceeding the energy early warning indicators and manages the critical coal powder quantity index at predetermined borehole depths. The hazard mitigation measures management module manages measures such as large-diameter borehole decompression and coal body decompression blasting when hazards are detected in the underground operation area, and links the measures with the hazardous area identification module and the operation location management module.

[0022] Furthermore, the energy early warning module inputs energy early warning indicators: daily maximum energy of underground microseismic activity, daily total energy of underground microseismic activity, and the rate of increase in event energy; the critical management module inputs critical measure indicators: borehole depth and critical coal powder quantity; the hazard mitigation measure management module inputs information on large-diameter borehole pressure relief measures: pressure relief hole layout, borehole spacing, and borehole depth, and inputs information on coal body pressure relief blasting measures: blast hole spacing, blast hole depth, and blasting hole diameter.

[0023] The method for monitoring coal mine rockbursts using the above-mentioned device based on GIS and MS technology includes the following steps:

[0024] S01: The monitoring data acquisition module based on the MS microseismic monitoring platform collects basic data and saves the collected basic data, including the time of the vibration, the energy released by the vibration, the size of the epicenter, the seismic moment, the mechanism of the vibration, and the pressure drop at the epicenter.

[0025] S02: The basic data collected by the monitoring data acquisition module is filtered and fused through the basic data fusion module of the MS microseismic monitoring platform;

[0026] S03: Based on the existing model library, the dynamic analysis module performs numerical judgment on the filtered and fused data, and performs database matching on the time, space, energy distribution and changing trend of downhole microseismic activity. The matching content includes: active zone delineation, activity spatial distribution, and activity area repeatability.

[0027] S04: By using the Geographic Information System (GIS) platform to edit the multi-parameter attributes of the dynamic analysis module's judgment results, and by comprehensively considering the combined effects of multiple factors, areas with different levels of danger are divided into regions.

[0028] S05: Based on the linkage of layer attribute information between the command and management module and the geographic information system (GIS) platform, the energy early warning indicators of rockburst events are managed through the command and management module to assist in emergency decision-making and command for disasters and accidents. Based on the evaluation criteria, corresponding critical management measures and command and management measures are initiated to establish a prevention and control plan that prioritizes prevention and is supplemented by mitigation and protection.

[0029] S06: Establish a self-learning model. As the system is put into operation, a large amount of data will be accumulated. Combined with the later data of impact tendency determination and on-site coal and rock mass stress state momentum measurement, the early warning model library will be continuously corrected and improved.

[0030] The working principle of this invention is as follows: Microseismic monitoring is used to monitor the risk of rockburst in mining production areas in real time. The degree of rockburst risk is determined by the amount of energy released during a seismic event. Based on the monitoring data acquisition module, various waveforms, channels, and trigger thresholds are set to acquire basic microseismic data. Waveform files that meet the trigger conditions are saved according to specific naming and file formats. Based on the basic data fusion module, the basic data from the acquisition module is cleaned, filtered, and fused, with specific requirements for data definition, classification, access content, update frequency, and data format. Based on the energy analysis module, the energy generated by microseismic events is quantitatively evaluated, including analysis of the maximum energy value of the event, total energy analysis, and multi-day continuous increase analysis of energy values. The vibration location analysis module monitors newly added event waveform files, performing a full process of effective channel screening, time-of-arrival identification, channel arrangement and combination, validity judgment, rapid positioning, and error analysis, providing positioning results to the geographic information platform. Based on the acquired energy and coordinate values, the location of the underground operation site is analyzed from the vertical, strike, and dip directions, including the advanced influence range, lagging goaf area, and lateral influence range. It intuitively displays the relationship between the corresponding vibration energy, effective vibration, maximum vibration energy, daily vibration frequency, and working face advance speed.

[0031] The hazardous area identification module allows for attribute editing within a GIS platform, comprehensive analysis of geological and mining technology influencing factors and their weights, consideration of the cumulative effects of multiple factors, evaluation of rockburst risk levels in different areas, and division of mining face areas based on the platform module. It also links the rockburst hazard with the locational regularity of seismic activity. If microseismic monitoring has been conducted in a certain area of ​​the mine within a certain timeframe, rockburst hazard information can be captured based on the observed microseismic energy levels and vibration location changes, and rockburst prediction and forecasting can be performed. The work site management module enables location management of corresponding emergency command and engineering mitigation measures, and performs attribute linkage based on geographic information.

[0032] The rockburst event command and management module matches corresponding control measures to areas exceeding energy warning indicators, manages the critical coal powder quantity index at predetermined drilling depths, and records the drilling depth and critical coal powder quantity. When a drill cuttings method warning is issued or when dynamic effects such as stuck drills, drill bit suction, and noise frequently occur during event command, a rockburst hazard is determined. The module initiates command measures to stop production, cut off power, and evacuate personnel, and notifies the corresponding area and work location via the geographic information platform module. Simultaneously, the module and other modules conduct drill cuttings method effectiveness testing after de-stressing according to the required measures. If the test indicators are normal as determined by the module, there is no rockburst hazard; if the coal powder quantity exceeds the standard, de-stressing measures continue until the test is normal, at which point the location can be restored to normal on the geographic information platform. For underground work areas monitored for hazards during the mining and tunneling phases, large-diameter borehole de-stressing and coal seam de-stressing blasting are carried out. Information is fed back to the geographic information platform module through the de-stressing measures management module for command and management of the work location.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0034] 1. Achieve comprehensive monitoring and early warning of multiple parameters within the monitoring area, addressing the current situation where single-parameter monitoring is insufficient to meet overall monitoring and early warning requirements. Based on real-time acquisition of multi-parameter monitoring results and relying on a reasonably set algorithm, achieve real-time comprehensive early warning of multi-parameter monitoring results within the monitoring area; the early warning parameters can be selected and periodically analyzed and adjusted according to the differences in the main influencing factors of rockburst.

[0035] 2. Implement regional monitoring and management of mine rockbursts, delineating key monitoring areas to ensure a clear focus and targeted approach to rockburst prevention and control. Based on actual conditions, key monitoring areas can be designated, and through functions such as displaying monitoring results of various parameters within each area, comprehensive monitoring and early warning of multiple parameters, and comprehensive report analysis, targeted prevention and control can be implemented in these key monitoring areas, effectively improving the level of rockburst monitoring and early warning.

[0036] 3. To delineate localized hazardous zones and provide real-time comprehensive early warnings, ensuring that downhole personnel stay away from impact hazard zones and guiding the determination of on-site pressure relief areas and parameters. Through a professional data analysis mechanism, specific localized hazardous zones within a monitoring area are delineated, real-time multi-parameter localized hazard levels are calculated, and the information is transmitted downhole through the rockburst monitoring center to ensure the safety of downhole workers.

[0037] 4. Establish a remote monitoring and early warning command system to achieve real-time information sharing among mines, the group company, and remote service teams. This will strengthen the group company's centralized control over rockburst management in its subordinate mines and improve the overall level of rockburst management. Utilizing cloud database technology, real-time multi-location information sharing of mine monitoring data will be achieved, establishing remote joint monitoring, diagnosis, and early warning systems.

[0038] 5. Enable automatic collection of basic data, reducing labor costs and improving work efficiency. Configure data collection assistants for various subsystems to automatically collect basic data, including drilling stress, microseismic activity, ground sound, anchor bolt and cable stress, and support resistance. Data collection does not affect the normal operation of the subsystems.

[0039] 6. Auxiliary command and management of rockburst disasters. Establish disaster perception and early warning systems, classify monitoring data uniformly, conduct comprehensive assessments of on-site conditions and rockburst data, and assist in the mobilization of rockburst-related emergency plans and dedicated evacuation routes to achieve auxiliary command functions for emergency management of coal mine rockburst disasters. Attached Figure Description

[0040] Figure 1 This is a flowchart of the monitoring method of the present invention;

[0041] Figure 2 This is a schematic diagram of the monitoring device structure of the present invention.

[0042] The system comprises: 1-MS microseismic monitoring platform, 11-monitoring data acquisition module, 12-basic data fusion module, 2-dynamic analysis module, 21-vibration location analysis module, 22-energy analysis module, 3-Geographic Information System (GIS) platform, 31-attribute editing module, 32-hazardous area identification module, 33-work site management module, 4-command management module, 41-energy early warning module, 42-critical indicator management module, 43-hazard mitigation measures management module, 5-dynamic analysis database, 6-geographic database, and 7-event command fusion database. Detailed Implementation

[0043] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but it should be understood that the scope of protection of the present invention is not limited to the specific embodiments.

[0044] Example: Figure 1 As shown, a method for monitoring rockburst in coal mines based on GIS and MS technologies includes the following steps:

[0045] S01: The monitoring data acquisition module 11 based on the MS microseismic monitoring platform 1 collects basic data and saves the collected basic data, including the time of the vibration, the energy released by the vibration, the size of the epicenter, the seismic moment, the mechanism of the vibration and the pressure drop at the epicenter;

[0046] S02: The basic data collected by the monitoring data acquisition module 11 is filtered and fused by the basic data fusion module 12 of the MS microseismic monitoring platform 1;

[0047] S03: Based on the existing model library, the dynamic analysis module 2 performs numerical judgment on the filtered and fused data, and performs a database matching of the time, space, energy distribution and changing trend of downhole microseismic activity. The matching content includes: active zone delineation, activity spatial distribution, and activity area repeatability.

[0048] S04: The judgment results of the dynamic analysis module 2 are processed by the geographic information system GIS platform 3, and the multi-parameter attributes of the geographic information platform are edited. The combined influence of multiple factors is used to divide the areas with different risk levels into regions.

[0049] S05: Based on the linkage of layer attribute information between the command and management module 4 and the geographic information system GIS platform 3, the energy early warning indicators of rockburst events are managed through the command and management module 4 to assist in emergency decision-making and command of disaster accidents. Based on the evaluation criteria, corresponding critical management measures and command and management measures are initiated to establish a prevention and control plan with prevention as the main focus and mitigation and protection as supplementary measures.

[0050] S06: Establish a self-learning model. As the system is put into operation, a large amount of data will be accumulated. Combined with the later data of impact tendency determination and on-site coal and rock mass stress state momentum measurement, the early warning model library will be continuously corrected and improved.

[0051] like Figure 2 As shown, the device used in the above-mentioned coal mine rockburst monitoring method based on GIS and MS technology includes:

[0052] MS Microseismic Monitoring Platform 1 includes the acquisition of information data on downhole microseismic activity and the fusion of multi-parameter data from the acquired data. MS Microseismic Monitoring Platform 1 includes a monitoring data acquisition module 11 and a basic data fusion module 12. The monitoring data acquisition module 11 is used for the acquisition and management of basic data for microseismic monitoring. Through trigger acquisition, waveform files that meet the trigger conditions are saved according to a certain naming and file format, including waveform settings, channel settings, and trigger threshold settings. The basic data fusion module 12 is used for cleaning, filtering, and fusing the acquired basic data, defining data, classifying data, accessing content, update frequency, and specifying data format requirements. It provides a consistent data interface, including microseismic monitoring data, stress monitoring data, coal dust and drill cuttings data, support pre-bearing pressure, roof dynamic monitoring data, and ground sound monitoring data.

[0053] 10. Dynamic Analysis Module 2, connected to MS Microseismic Monitoring Platform 1, analyzes the fused data of downhole microseismic activity. Based on the analysis results, it upgrades the dynamic analysis of the location and energy data of rockbursts in downhole microseismic activity. Dynamic Analysis Module 2 includes Vibration Location Analysis Module 21 and Energy Analysis Module 22. Vibration Location Analysis Module 21 is used to monitor newly added event waveform files, realizing the entire process of effective channel screening, time-arrival identification, channel arrangement and combination, effectiveness judgment, rapid positioning, and error analysis, and providing positioning results. Energy Analysis Module 22 is used to quantitatively evaluate the energy generated by microseismic events, including the analysis of the maximum energy value of the event, the total energy analysis of the event, and the analysis of the continuous increase of energy value over multiple days. Vibration Location Analysis Module 21 uses the location analysis of the source coordinates. The time from the source location to the source occurrence can be described by the following formula:

[0054]

[0055] In the formula: x0, y0, z0 are the coordinates of the earthquake source; t0 is the time of earthquake origination; x i y i , z i Let t be the coordinates of the i-th observation station; i Let v be the time it takes for the P-wave to reach the i-th observation station; v(x0, y0, z0) is the propagation speed of the P-wave in the medium.

[0056] The Geographic Information System (GIS) platform 3, connected to the dynamic analysis module 2, performs multi-parameter attribute editing on the analyzed data, comprehensively considers the combined effects of multiple factors, and divides areas into regions with different levels of danger. The GIS platform 3 includes an attribute editing module 31, a hazardous area identification module 32, and a work site management module 33. The attribute editing module 31 maintains attribute data in the GIS, including geographic information of various layers and objects, and can input attribute parameter information for each object according to configured permissions. The hazardous area identification module 32, based on the layer attributes of geographic information and combined with the identification of geological structures, roof conditions, coal seam bifurcation, and thickness changes, classifies underground areas into three levels: weak, medium, and strong impact hazard areas. The work site management module 33 manages information on underground production and shutdown locations and functions in conjunction with the command and management module 4.

[0057] Command and management module 4, connected to the geographic information system (GIS) platform 3, manages energy early warning indicators for rockburst events and initiates corresponding critical management and command and management measures based on evaluation criteria. Command and management module 4 includes an energy early warning module 41, a critical indicator management module 42, and a hazard mitigation measures management module 43. The energy early warning module 41 sets early warning indicators for specific areas of underground microseismic activity in coal mining faces and tunneling faces. The critical indicator management module 42 manages events exceeding energy early warning indicators using coal seam cuttings monitoring and manages critical coal powder quantities at predetermined borehole depths. The hazard mitigation measures management module 43... For areas where hazards are detected in the underground work area, measures such as large-diameter borehole decompression and coal body decompression blasting are implemented and managed, and the measures are linked with the hazardous area identification module 32 and the work site management module 33. The energy early warning module 41 records energy early warning indicators: the maximum energy of daily underground micro-seismic activity, the total energy of daily underground micro-seismic activity, and the increase in event energy. The critical management module 42 records critical measure indicators: borehole depth and critical coal powder quantity. The hazard mitigation measures management module 43 records information on large-diameter borehole decompression measures: decompression hole layout, borehole spacing, and borehole depth, and information on coal body decompression blasting measures: blast hole spacing, blast hole depth, and blast hole diameter.

[0058] The dynamic analysis database 5 is connected to the dynamic analysis module 2 to store the data collected by the microseismic monitoring platform, the location data and energy data analyzed by the dynamic analysis module (2);

[0059] Geographic database 6, connected to geographic information system GIS platform 3, stores geographic information data used for monitoring underground microseismic activity and rockburst activity;

[0060] The event command fusion database 7 is connected to the command and management module 4 and stores critical management data and disaster relief measures fusion data for rockburst event command.

[0061] The working principle of the above embodiment is as follows: Microseismic monitoring is used to monitor the risk of rockburst in the mining production area in real time. The degree of rockburst risk is determined by the amount of energy released during a seismic event. According to the monitoring data acquisition module 1, various waveforms, channels, and trigger thresholds are set to acquire basic microseismic data. Waveform files that meet the trigger conditions are saved according to a specific naming and file format. According to the basic data fusion module 2, the basic data from the acquisition module 1 is cleaned, filtered, and fused, and specific requirements are set for data definition, data classification, access content, update frequency, and data format. According to the energy analysis module 22, the energy generated by microseismic events is quantitatively evaluated, including analysis of the maximum energy value of the event, analysis of the total energy of the event, and analysis of the continuous increase of energy value over multiple days. Vibration Location Analysis Module 21: The system monitors newly added event waveform files, performs a full-process process of effective channel screening, time-based identification, channel arrangement and combination, validity judgment, rapid positioning, and error analysis, and provides positioning results to the geographic information platform. 3. Based on the collected energy and coordinate values, it analyzes the location of the underground operation site's advanced influence range, lagging goaf area, and lateral influence range from the vertical, strike, and dip directions. It intuitively displays the relationship between the corresponding vibration energy, effective vibration, maximum magnitude energy, daily vibration frequency, and working face advance speed.

[0062] The hazardous area identification module 32 allows for attribute editing within the GIS platform, comprehensive analysis of corresponding geological and mining technology influencing factors and their weights, consideration of the cumulative effects of multiple factors, evaluation of the rockburst hazard level in different areas, and division of mining face areas based on platform module 3. It also links the rockburst hazard with the locational regularity of vibrations. If microseismic monitoring has been conducted in a certain area of ​​the mine within a certain timeframe, rockburst hazard information is captured based on the observed microseismic energy levels and vibration location changes, and rockburst prediction and forecasting are performed. The work site management module 3 enables location management and geographic information-based attribute linkage for corresponding emergency command and engineering mitigation measures.

[0063] The rockburst event command and management module 4 matches corresponding control measures to areas exceeding energy warning indicators, manages the critical coal powder quantity index at predetermined drilling depths, and records the drilling depth and critical coal powder quantity. When a drill cuttings method warning occurs or when dynamic effects such as stuck drills, drill suction, and noise frequently occur during the event command process, it is determined that there is a rockburst hazard. The command measures of stopping production, power outage, and evacuation are initiated through module 43, and the corresponding area and work location are notified through the geographic information platform module 33. At the same time, modules 42 and 43 conduct drill cuttings method effect tests after de-stressing according to the requirements of the measures. If the test indicators are normal as determined by module 41, it is determined that there is no rockburst hazard; if the coal powder quantity exceeds the standard, de-stressing measures continue until the test is normal, and then the location can be restored to normal on the geographic information platform 3. For underground work areas monitored for hazards during the mining and tunneling periods, large-diameter borehole de-stressing and coal body de-stressing blasting are carried out through the de-stressing measures management module 4, and the information is fed back to the geographic information platform module 33 for command and management of the work location.

[0064] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and do not limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the protection scope of the present invention.

Claims

1. A coal mine rockburst monitoring device based on GIS and MS technology, characterized in that, include: MS microseismic monitoring platform (1) includes the acquisition of information data on downhole microseismic activity and the fusion of multi-parameter data of the acquired data. The multi-parameter data includes source location, time of occurrence, longitudinal wave, transverse wave, monitoring station and microseismic energy. The dynamic analysis module (2) is connected to the MS microseismic monitoring platform (1) to analyze the fused data of downhole microseismic activity. Based on the analysis results, it upgrades the dynamic analysis of the location data and energy data of the rockburst of downhole microseismic activity. The Geographic Information System (GIS) platform (3) is connected to the dynamic analysis module (2) to edit the multi-parameter attributes of the analyzed data, integrate the superimposed influence of multiple factors, and divide the areas with different levels of danger into regions. The multiple factors include the location of the micro-earthquake, the distribution of the number of surrounding work sites, and the construction technology used in the surrounding work. The command and management module (4) is connected to the geographic information system GIS platform (3) to manage the energy early warning indicators of rockburst events and to initiate corresponding critical management measures and command and management measures based on the evaluation criteria. The dynamic analysis module (2) includes a vibration location analysis module (21) and an energy analysis module (22). The vibration location analysis module (21) is used to monitor newly added event waveform files in the system, realize the entire process of effective channel screening, time-arrival identification, channel arrangement and combination, effectiveness judgment, rapid positioning and error analysis, and provide positioning results. The energy analysis module (22) is used to quantitatively evaluate the energy generated by microseismic events, including the maximum energy value analysis of the event, the total energy analysis of the event, and the continuous increase analysis of the energy value over multiple days. The vibration location analysis module (21) uses the location analysis based on the source coordinates. The time from the source location to the earthquake's origin is described by the following formula: ； In the formula: x0, y0, z0 are the coordinates of the earthquake source; t0 is the time of earthquake origination; x i y i , z i Let t be the coordinates of the i-th observation station; i Let v be the time it takes for the P-wave to reach the i-th observation station; v(x0, y0, z0) is the propagation speed of the P-wave in the medium.

2. The coal mine rockburst monitoring device based on GIS and MS technology as described in claim 1, characterized in that, Also includes: The dynamic analysis database (5) is connected to the dynamic analysis module (2) to store the data collected by the MS microseismic monitoring platform (1), the location data and energy data analyzed by the dynamic analysis module (2); The geographic database (6) is connected to the geographic information system (GIS) platform (3) to store geographic information data used for monitoring underground microseismic activity and rockburst activity; The event command fusion database (7) is connected to the command management module (4) to store critical management data and disaster relief measures fusion data for rockburst event command.

3. The coal mine rockburst monitoring device based on GIS and MS technology as described in claim 1, characterized in that, The MS microseismic monitoring platform (1) includes a monitoring data acquisition module (11) and a basic data fusion module (12). The monitoring data acquisition module (11) is used to collect and manage basic data for microseismic monitoring. Through trigger acquisition, waveform files that meet the trigger conditions are saved in a certain naming and file format. The content includes: waveform settings, channel settings, and trigger threshold settings. The basic data fusion module (12) is used to clean, filter and fuse the collected basic data, define the data, classify the data, access the content, update frequency and data format, and provide a consistent data interface, including microseismic monitoring data, stress monitoring data, coal dust drill cuttings data, support pre-bearing pressure, roof dynamic monitoring data and ground sound monitoring data.

4. The coal mine rockburst monitoring device based on GIS and MS technology as described in claim 1, characterized in that, The geographic information system (GIS) platform (3) includes an attribute editing module (31), a hazardous area identification module (32), and a work site management module (33). The attribute editing module (31) is used to maintain attribute data in the geographic information system, including geographic information of various layers and objects. According to the configured permissions, the attribute parameter information of each object is input. The hazardous area identification module (32) divides the underground area into levels according to the layer attributes of the geographic information, combined with the identification of geological structure, roof conditions, coal seam bifurcation, and thickness changes. The levels are: weak, medium, and strong impact hazard areas. The work site management module (33) manages the information of underground production operation sites and shutdown sites, and performs functional linkage with the command and management module (4).

5. A coal mine rockburst monitoring device based on GIS and MS technology as described in claim 4, characterized in that, The command and management module (4) includes an energy early warning module (41), a critical index management module (42), and a hazard mitigation measures management module (43). The energy early warning module (41) sets early warning indicators for the energy values ​​of underground micro-seismic activity in specific areas of the underground coal mining face and tunneling face. The critical index management module (42) manages events by monitoring coal seam cuttings in areas exceeding energy warning indicators and manages the critical coal powder quantity index at predetermined borehole depths; the hazard mitigation measures management module (43) manages measures such as large-diameter borehole decompression and coal body decompression blasting when hazards are detected in the underground operation area, and links the measures location with the hazard area identification module (32) and the operation location management module (33).

6. A coal mine rockburst monitoring device based on GIS and MS technology as described in claim 5, characterized in that, The energy early warning module (41) inputs energy early warning indicators: daily maximum energy of downhole microseismic activity, daily total energy of downhole microseismic activity, and the increase in event energy. The critical index management module (42) inputs critical measure indicators: borehole depth and critical coal powder quantity; the hazard relief measure management module (43) inputs information on large-diameter borehole pressure relief measures: pressure relief hole layout, borehole spacing, and borehole depth, and inputs information on coal body pressure relief blasting measures: row hole spacing, blast hole depth, and blasting hole diameter.

7. A method for using a coal mine rockburst monitoring device based on GIS and MS technology as described in any one of claims 1 to 6, characterized in that, Includes the following steps: S01: The monitoring data acquisition module (11) based on the MS microseismic monitoring platform (1) collects basic data and saves the collected basic data. The basic data includes the time of vibration, the energy released by the vibration, the size of the epicenter, the earthquake moment, the mechanism of vibration and the pressure drop at the epicenter. S02: The basic data collected by the monitoring data acquisition module (11) is filtered and fused by the basic data fusion module (12) of the MS microseismic monitoring platform (1); S03: Based on the existing model library, the dynamic analysis module (2) performs numerical judgment on the filtered and fused data, and performs a database matching of the time, space, energy distribution and change trend of the downhole microseismic activity. The matching content includes: active zone delineation, activity spatial distribution and activity area repeatability. S04: The judgment results of the dynamic analysis module (2) are edited by the geographic information system GIS platform (3) and the multi-parameter attributes of the geographic information platform are combined to divide the areas with different risk levels by integrating the superimposed influence of multiple factors. S05: Based on the linkage of layer attribute information between the command and management module (4) and the geographic information system GIS platform (3), the energy early warning indicators of rockburst events are managed through the command and management module (4) to assist in emergency decision-making and command of disaster accidents. Based on the evaluation criteria, corresponding critical management measures and command and management measures are initiated to establish a prevention and control measures plan with prevention as the main focus and de-escalation and protection as the auxiliary measures. S06: Establish a self-learning model. As the system is put into operation, a large amount of data will be accumulated. Combined with the later data of impact tendency determination and on-site coal and rock mass stress state momentum measurement, the early warning model library will be continuously corrected and improved.

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