Early warning processing method, device, equipment and medium for mine micro-seismic monitoring

Abstract

The invention discloses an early warning processing method, device and equipment for mine micro-seismic monitoring and a medium, and relates to the technical field of mine safety engineering.The method comprises the steps that when mine micro-seismic early warning is triggered, whether a rock burst risk exists in a current mine area or not is predicted, and a current prediction result is obtained; if the current prediction result represents that the rock burst risk exists, a target dangerous area in the current mine area is recognized, and danger relieving measures and monitoring-recovery operation are executed on the target dangerous area; if the rock burst risk does not exist, whether the drilling cutting data of the current mine area is larger than a first drilling cutting amount threshold value or not is judged, and a drilling cutting data judgment result is obtained; if the drilling cutting data judgment result is that the drilling cutting data is greater than or equal to the first drilling cutting amount threshold value, judging that the rock burst risk exists in the current mine area, and skipping to execute the step of identifying a target dangerous area in the current mine area; and if the drilling cutting data is smaller than the first drilling cutting amount threshold value, production limiting-monitoring-recovery operation is executed. And an accurate pre-warning post-processing flow is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of mine safety engineering, and in particular to an early warning disposal method, device, equipment and medium for mine microseismic monitoring. Background Art

[0002] In the traditional mine microseismic early warning and response process, after a microseismic warning is detected, since microseismic monitoring is a large-area monitoring method, the specific location of the warning cannot be determined. Effective decompression and hazard resolution measures are often not taken directly, and subsequent response measures are not clearly defined, which can easily lead to excessive production suspension or blind resumption of production. In the existing solution, after a mine microseismic warning is detected, the risk of rock burst is not scientifically determined after the site is shut down and evacuated, and direct entry poses a safety hazard to personnel. Furthermore, after a mine microseismic warning is issued, the scope of the dangerous area is delineated without standardized parameters, resulting in insufficiently targeted hazard resolution measures. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for early warning and disposal of mine microseismic monitoring, which can accurately execute the post-warning disposal process when a mine microseismic early warning is triggered, meet regulatory requirements, take into account production efficiency, and ensure on-site safety production. The specific scheme is as follows:

[0004] In a first aspect, the present application discloses an early warning and disposal method for microseismic monitoring in mines, comprising:

[0005] When a mine microseismic warning is triggered, the system predicts whether there is a rock burst risk in the current mining area based on the preset geomechanical model to obtain the current prediction result;

[0006] If the current prediction result indicates the presence of rock burst risk, a target dangerous area in the current mining area is identified using a drill cuttings method, and mitigation measures are implemented for the target dangerous area. After the mitigation measures are implemented, monitoring and resumption of production are performed; wherein the target dangerous area is a mining area that meets preset rock burst risk conditions;

[0007] If the current prediction result indicates that there is no rock burst risk, determining whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold to obtain a drill cuttings data determination result;

[0008] If the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, it is determined that there is a rock burst risk in the current mining area, and the process jumps to executing the step of identifying the target dangerous area in the current mining area by using the drill cuttings method;

[0009] If the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold, the production restriction-monitoring-resumption operation is performed.

[0010] Optionally, the predicting whether there is a rock burst risk in the current mining area based on a preset geomechanical model to obtain a current prediction result includes:

[0011] Obtain static parameters including coal and rock characteristic indicators and geological indicators in the current mining area, wherein the coal and rock characteristic indicators include elastic energy index and rock stratum mechanical parameters, and the geological indicators include fault / fold stress amplification index and initial ground stress field index;

[0012] Obtaining dynamic parameters in the current mining area, including mining activity monitoring indicators and mine microseismic and stress change indicators; wherein the mining activity monitoring indicators include a shearer advance speed indicator and a support status indicator; and the mine microseismic and stress change indicators include a microseismic energy release indicator, a source migration rate indicator, and a stress change rate indicator;

[0013] Inputting the static parameters and the dynamic parameters into a preset geomechanical model, so that the preset geomechanical model generates a current stress cloud map based on fusion modeling of the static parameters and the dynamic parameters, calculates a current stress concentration factor of the current stress cloud map, and extracts stress field characteristics;

[0014] Matching the static parameters, the dynamic parameters and corresponding impact indicators of historical impact accidents through the preset geomechanical model, and calculating the matching degree of the historical impact accidents;

[0015] Outputting a rock burst risk prediction probability value through the preset geomechanical model and based on the current stress concentration factor, the stress field characteristics, and the matching degree of the historical rock burst accidents;

[0016] Determine whether there is a rock burst risk in the current mining area based on the rock burst risk prediction probability value.

[0017] Optionally, the generating of the current stress cloud map based on the fusion modeling of the static parameters and the dynamic parameters includes:

[0018] constructing an initial three-dimensional geomechanical grid based on the static parameters, and solving the stress field distribution on the initial three-dimensional geomechanical grid to obtain an initial stress field distribution;

[0019] fusing the dynamic parameters into the initial stress field distribution to obtain an updated stress field distribution;

[0020] The three-dimensional geomechanical grid is updated using each local stress value of the updated stress field distribution to generate a current stress cloud map.

[0021] Optionally, extracting stress field features includes:

[0022] The current maximum principal stress value, the current stress gradient, and the current stress distribution uniformity index are extracted from the current stress cloud map at preset time intervals; wherein the current maximum principal stress value is an indicator reflecting the regional stress intensity, the current stress gradient is the spatial stress change rate, and the current stress distribution uniformity index is a uniformity index determined based on the stress value mean and the stress value standard deviation.

[0023] Optionally, the identifying the target dangerous area in the current mine area by using the drill cuttings method includes:

[0024] Set the mine microseismic early warning point as the center, extend the preset length axially to obtain the excavation face, and then set the target detection range of the mining face;

[0025] Drilling is performed in the to-be-drilled areas set at the excavation face and the mining face using a strategy of decreasing hole spacing. When the drill cuttings data of a single borehole is greater than a second drill cuttings threshold, or when any one or more of blowout and drill sticking phenomena occur in a single borehole, the area where the current borehole is located is identified as a target dangerous area.

[0026] Optionally, the emergency measures include drilling pressure relief and blasting pressure relief.

[0027] Optionally, the monitoring-resumption operation includes:

[0028] Complete drill cuttings retest within a preset time period after borehole pressure relief and obtain drill cuttings data after retest;

[0029] Monitor the energy release rate of microseismic monitoring over a continuous time period;

[0030] If the drill cuttings data after retesting and the energy release rate of the microseismic monitoring meet the production resumption conditions, a step-by-step production resumption operation is initiated.

[0031] In a second aspect, the present application discloses an early warning and disposal device for microseismic monitoring in mines, comprising:

[0032] The prediction module is used to predict whether there is a rock burst risk in the current mining area based on a preset geomechanical model when a mine microseismic warning is triggered, so as to obtain the current prediction result;

[0033] A first handling module is configured to, if the current prediction result indicates the presence of rock burst risk, identify a target hazardous area in the current mining area using a drill cuttings method, implement mitigation measures for the target hazardous area, and perform monitoring-resumption operations after the mitigation measures are implemented; wherein the target hazardous area is a mining area that meets preset rock burst risk conditions;

[0034] a second processing module configured to determine whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold if the current prediction result indicates that there is no rock burst risk, so as to obtain a drill cuttings data determination result;

[0035] a third handling module, configured to determine that there is a rock burst risk in the current mining area if the drill cuttings data judgment result indicates that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, and then jump to executing the step of identifying a target dangerous area in the current mining area by using the drill cuttings method;

[0036] The fourth processing module is used to execute the production restriction-monitoring-resumption operation if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold.

[0037] In a third aspect, the present application discloses an electronic device, comprising:

[0038] Memory, used to store computer programs;

[0039] The processor is used to execute the computer program to implement the steps of the above-disclosed early warning and disposal method for mine microseismic monitoring.

[0040] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the steps of the aforementioned disclosed method for early warning and disposal of microseismic monitoring in mines are implemented.

[0041] It can be seen that the present application discloses an early warning and disposal method for mine microseismic monitoring, comprising: when a mine microseismic early warning is triggered, predicting whether there is a rock burst risk in the current mine area based on a preset geomechanical model to obtain a current prediction result; if the current prediction result indicates the existence of a rock burst risk, identifying a target dangerous area in the current mine area by a drill cuttings method, executing risk resolution measures for the target dangerous area, and performing monitoring-resumption operations after the risk resolution measures are executed; wherein, the target dangerous area is a mine area that meets preset rock burst risk conditions; if the current prediction result indicates the absence of a rock burst risk, determining whether the drill cuttings data of the current mine area is greater than a first drill cuttings volume threshold to obtain a drill cuttings data judgment result; if the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings volume threshold, determining that there is a rock burst risk in the current mine area, and then jumping to execute the step of identifying the target dangerous area in the current mine area by the drill cuttings method; if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings volume threshold, executing production restriction-monitoring-resumption operations. This shows that by first predicting whether there is a rock burst risk in the current mining area, a preliminary rock burst risk prediction result is obtained. Based on this prediction result, subsequent processes such as dangerous area identification and drill cuttings data judgment are carried out to avoid direct shutdown or blind resumption of production after the mine microseismic warning. Instead, the drill cuttings method is used to further identify and narrow down the specific target dangerous area, and to implement risk resolution measures. After the risk resolution is implemented, monitoring and resumption of production are carried out. Production is resumed while ensuring the safety of personnel in the original target dangerous area after the risk is resolved, thereby reducing losses. If the target risk area is not identified after the mine warning based on the amount of drill cuttings data, there is no need to directly shut down production. Instead, production is limited and real-time monitoring is carried out. After confirming that there is no risk, resumption of production is carried out. This systematically solves the three major problems of risk misjudgment, blind pressure relief, and disorderly resumption of production in traditional solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 This is a flow chart of a method for early warning and disposal of microseismic monitoring in mines disclosed in this application;

[0044] Figure 2 A flowchart of a specific early warning and disposal method for mine microseismic monitoring disclosed in this application;

[0045] Figure 3This is a schematic structural diagram of a mine microseismic monitoring early warning and disposal device disclosed in this application;

[0046] Figure 4 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] In the traditional mine microseismic early warning and response process, after a microseismic warning is detected, since microseismic monitoring is a large-area monitoring method, the specific location of the warning cannot be determined. Effective decompression and hazard resolution measures are often not taken directly, and subsequent response measures are not clearly defined, which can easily lead to excessive production suspension or blind resumption of production. In the existing solution, after a mine microseismic warning is detected, the risk of rock burst is not scientifically determined after the site is shut down and evacuated, and direct entry poses a safety hazard to personnel. Furthermore, after a mine microseismic warning is issued, the scope of the dangerous area is delineated without standardized parameters, resulting in insufficiently targeted hazard resolution measures.

[0049] To this end, the present invention provides an early warning and disposal solution for mine microseismic monitoring, which can accurately execute the post-warning disposal process when the mine microseismic early warning is triggered, meet regulatory requirements, take into account production efficiency, and ensure on-site safe production.

[0050] Reference Figure 1 As shown, an embodiment of the present invention discloses an early warning and disposal method for mine microseismic monitoring, comprising:

[0051] Step S11: When a mine microseismic early warning is triggered, a preset geomechanical model is used to predict whether there is a rock burst risk in the current mine area to obtain a current prediction result.

[0052] In this embodiment, when the microseismic monitoring system detects energy ≥1× In the event of a J, the three-level warning threshold (red / orange / yellow) is triggered. The system automatically sends an alarm to the dispatch center and the security monitoring room. The power supply to the mining equipment is then cut off, the hydraulic support enters a self-locking state, and the personnel within a radius of 500m are evacuated within 20 minutes through the broadcast system + positioning card vibration alarm. A three-level alert is set: no entry to the core area within 200m, restricted access to the buffer area within 300m, and real-time inspection of the monitoring area within 500m. At the same time, the two-stage risk assessment stage is entered, namely: obtaining static parameters including coal rock characteristic indicators and geological indicators in the current mining area, wherein the coal rock characteristic indicators include elastic energy index and rock stratum mechanical parameters, and the geological indicators include fault / fold stress amplification index and initial ground stress field index; obtaining dynamic parameters including mining activity monitoring indicators, mine microseismic and stress change indicators in the current mining area; wherein the mining activity monitoring indicators include coal mining machine advancement speed indicators and support status indicators, and the mine microseismic and stress change indicators include microseismic energy release indicators, earthquake source migration rate indicators and stress change rate indicators; inputting the static parameters and the dynamic parameters into A geomechanical model is preset so that the preset geomechanical model generates a current stress cloud map based on the fusion modeling of the static parameters and the dynamic parameters to calculate the current stress concentration coefficient of the current stress cloud map and extract stress field characteristics; the static parameters and the dynamic parameters are matched with the corresponding impact indicators of historical impact accidents through the preset geomechanical model, and the matching degree of historical impact accidents is calculated; the rock burst risk prediction probability value is output through the preset geomechanical model and based on the current stress concentration coefficient, the stress field characteristics, and the matching degree of historical impact accidents; and whether there is a rock burst risk in the current mining area is determined based on the rock burst risk prediction probability value. It can be understood that by using the preset geomechanical model and historical statistical data, combined with historical experience, it is analyzed and judged whether there is a rock burst risk on the site, wherein personnel are prohibited from entering before safety is confirmed.

[0053] Specifically, the key parameters for geomechanical analysis are first obtained, including static parameters that characterize the coal rock impact tendency index, the measured mechanical properties of the rock formation, and the distribution of geological structures, and dynamic parameters that characterize the real-time mining progress, working face geometry, support strength, etc. Among them, static parameters include elastic modulus, compressive strength, Poisson's ratio, faults, folds, collapse columns, and other initial ground stress fields.

[0054] In this embodiment, the fusion modeling based on the static parameters and the dynamic parameters generates a current stress cloud map, including: constructing an initial three-dimensional geomechanical grid based on the static parameters, and solving the stress field distribution of the initial three-dimensional geomechanical grid to obtain an initial stress field distribution; fusing the dynamic parameters into the initial stress field distribution to obtain an updated stress field distribution; and performing grid update processing on the three-dimensional geomechanical grid according to the local stress values of the updated stress field distribution to generate a current stress cloud map. It can be understood that static parameters and dynamic parameters are input into the preset geomechanical model so that a three-dimensional stress cloud map can be generated by coupling the static parameters (lithology, structure) of the preset geomechanical model with dynamic data (mining progress, microseismic events). Specifically, the preset geomechanical model delineates the initial risk zones based on the coal rock impact tendency index (elastic energy index) in the static parameters, identifies the potential high stress accumulation areas, calculates the rock energy storage capacity based on the measured mechanical properties of the rock formation in the static parameters (elastic modulus, compressive strength, Poisson's ratio), and predicts the energy release threshold, corrects the stress field distribution based on the geological structure distribution (fault zone location, fold curvature, ground stress direction), and marks the structural stress concentration area. Specifically, the area with stress increase ≥15% is marked in red; the preset geomechanical model establishes the original stress benchmark based on the initial ground stress field in the static parameters as a dynamic change reference system, obtains the initial three-dimensional geomechanical grid based on the modeling results of all the above static parameters, and solves the stress field distribution to obtain the initial stress field distribution. It should be noted that static parameters need to be updated so that the static parameters input into the preset geomechanical model are updated according to time changes. Among them, static parameters can be updated quarterly through downhole coring laboratory testing of rock formation parameters, or supplemented modeling within 24 hours after the new geological structure is exposed. Furthermore, dynamic parameters are input into the preset geomechanical model. Through the preset geomechanical model and based on the real-time mining progress and initial stress field distribution, the support pressure distribution of the goaf is adjusted in real time to calculate the advance impact range; through the preset geomechanical model and based on the working face geometry, support strength, and initial stress field distribution, the plastic zone range of the surrounding rock is corrected to determine whether to trigger the pressure relief recommendation; It should be noted that the dynamic parameter update mechanism is real-time update, such as the mining parameters are updated synchronously every minute, and the microseismic data is refreshed at 10 seconds (real-time triggering of strong events). The preset geomechanical model uses the model computing capability and is based on the fusion modeling processing of the above-mentioned static parameters and dynamic parameters to fuse the dynamic parameters into the initial stress field distribution to obtain the updated stress field distribution. Finally, the three-dimensional geomechanical grid is updated by the local stress values of the updated stress field distribution, the current stress cloud map is output, and the current stress concentration coefficient of the current stress cloud map is calculated, where the current stress cloud map displays the degree of stress concentration with different color gradients.

[0055] In this embodiment, extracting stress field features includes extracting the current maximum principal stress value, the current stress gradient, and the current stress distribution uniformity index from the current stress nephogram at preset time intervals. The current maximum principal stress value is an indicator reflecting the regional stress intensity, the current stress gradient is the spatial stress change rate, and the current stress distribution uniformity index is a uniformity index determined based on the stress mean and stress standard deviation. It will be appreciated that in addition to calculating the current stress concentration factor, other stress field features are extracted from the current stress nephogram to obtain the aforementioned stress field features.

[0056] Furthermore, historical data includes monitoring data, stress monitoring data, mining activity data, and historical rock burst accident cases. Monitoring data includes microseismic monitoring data combined with microseismic early warning indicators; stress monitoring data combined with stress early warning indicators; mining activity data, including working face advancement speed, mining scope, support parameters, and mining depth, derived from historical mine production records; and historical rock burst accident cases, including records of past rock burst events, including location, triggering conditions, and damage severity, for correlation analysis of risk characteristics. A preset geomechanical model is used to integrate static parameters, dynamic parameters, and corresponding rock burst indicators from historical rock burst accident cases. This involves matching the current scenario with historical cases for similarity and calculating a similarity score. Finally, the preset geomechanical model is used to perform a comprehensive calculation based on the current stress concentration factor, its corresponding first weight parameter, stress field characteristics, its corresponding second weight parameter, similarity score, and its corresponding third weight parameter, outputting a rock burst risk prediction probability value to obtain the current prediction result. It should be noted that the geomechanical model is constructed based on numerical simulation methods disclosed in the prior art, and its training process also utilizes existing techniques to train the resulting preset geomechanical model.

[0057] Step S12: If the current prediction result indicates the existence of rock burst risk, the target dangerous area in the current mining area is identified by the drill cuttings method, and risk mitigation measures are implemented for the target dangerous area, and monitoring-resumption operations are performed after the risk mitigation measures are implemented; wherein, the target dangerous area is a mining area that meets the preset rock burst risk conditions.

[0058] In this embodiment, the second stage assessment process of the two-stage risk assessment system is as follows: if the current prediction result indicates the existence of rock burst risk, the warning point of the mine microseismic warning is set as the center, and the preset length is extended axially to obtain the excavation face, and then the target detection range of the mining face is set; the hole spacing reduction strategy is used to perform drilling processing in the areas to be drilled set on the excavation face and the mining face. When the drill cuttings data of a single borehole is greater than the second drill cuttings volume threshold, when any one or more of the blowout phenomenon and the drill stuck phenomenon occur in a single borehole, the area where the current borehole is located is identified as a target dangerous area. It is understandable that the warning point of mine microseismic early warning is set as the center to determine the excavation face and the mining face. Specifically, for the excavation face: grid detection is implemented within a range of 150m along the axial direction of the tunnel; for the mining face: a detection network is arranged within a range of 300m on the working face and the two tunnels, and a progressive encryption method is adopted: 100m to 50m to 25m hole spacing is progressively detected. Then, in the process of drill cuttings identification of the target dangerous area within the above range, a handheld drill cuttings monitor can be used to upload data in real time. After receiving the uploaded drill cuttings data, the system automatically generates a thermal map. In the generated thermal map, the amount of drill cuttings in the red area is ≥6kg / m. In addition, the hazard level judgment standard for the target dangerous area needs to be set, Level III: the amount of drill cuttings in a single hole is ≥6kg / m or dynamic phenomena occur; Level II: 4kg / m≤drill cuttings<6kg / m; Level I: drill cuttings<4kg / m and there are no abnormal phenomena. In this way, in the thermal map, the area with level III drill cuttings (the second drill cuttings threshold) is the target danger area, or the area where a single drill hole in the drilling area has a blowout phenomenon or a stuck drill phenomenon is also a target danger area.

[0059] In this embodiment, de-risking measures are implemented in the target hazardous areas, including drilling and blasting. It is understood that the eliminated target hazardous areas cannot be left untouched. To ensure the safety of subsequent mining projects and the resumption of work and production, the target hazardous areas must be immediately de-risked to eliminate potential safety hazards. Drilling de-risking involves densely arranging de-risking drill holes (spacing 0.5-2m, hole diameter ≥150mm, depth 15-25m), absorbing energy through plastic deformation of the drill holes. Blasting de-risking involves deep-hole blasting (hole diameter 42-75mm, hole depth 10-30m) within the designated hazardous area, releasing energy in high-stress areas and disrupting stress concentration structures in the rock mass. Hydraulic fracturing can also be performed. Hydraulic fracturing involves injecting high-pressure water (pressure ≥20MPa) into high-pressure injection holes to soften the rock mass and induce microcracks to expand, reducing the risk of stress accumulation.

[0060] In this embodiment, the monitoring and resumption of production process includes: completing drill cuttings retesting within a preset time period after borehole depressurization and obtaining post-retest drill cuttings data; monitoring the microseismic monitoring energy release rate over a continuous time period; and if the retested drill cuttings data and the microseismic monitoring energy release rate meet the resumption of production conditions, a step-by-step resumption of production is initiated. It is understood that after the target hazardous area has been de-risked, production cannot be resumed directly. Instead, drill cuttings retesting must be performed first. If the drill cuttings retest results meet Level II or Level I conditions, and the microseismic monitoring energy release rate within a preset time period (e.g., 72 hours) after depressurization is less than the preset energy release rate, then, after verification of the drill cuttings method, production will still be restricted by 30% (e.g., reducing the daily advance rate to 70% of the original plan). After 72 hours of continuous monitoring, if no abnormalities are observed, a step-by-step resumption of production will be initiated. If microseismicity, stress, or drill cuttings exceed the specified limits during the production restriction period, the restriction period will be extended by 24 hours. Step-by-step resumption of production: 70% of production capacity will be restored first, followed by 48 hours of continuous monitoring. If there are no abnormalities in the monitoring, including microseismic, stress, and drill cuttings data, and no exceeding of the standard, the normal production capacity will be restored to 100%.

[0061] Step S13: If the current prediction result indicates that there is no rock burst risk, it is determined whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold to obtain a drill cuttings data determination result.

[0062] In this embodiment, if the current prediction result of the preset geomechanical model indicates that there is no risk of rock burst, the step of determining whether the drill cuttings data of the current mining area is greater than the first drill cuttings amount threshold is entered to obtain the drill cuttings data judgment result, wherein the first drill cuttings amount threshold is 6 kg / m.

[0063] Step S14: If the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, it is determined that there is a rock burst risk in the current mining area, and the process jumps to executing the step of identifying the target dangerous area in the current mining area by the drill cuttings method.

[0064] In this embodiment, if the drill cuttings data judgment result is greater than or equal to the first drill cuttings amount threshold, it indicates that the previous preset geological model prediction result is inaccurate and there is a probability that a target dangerous area exists. Therefore, the step of identifying the target dangerous area in the current mining area through the drill cuttings method is jumped to execute.

[0065] Step S15: If the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold, the production restriction-monitoring-resumption operation is performed.

[0066] In this embodiment, if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold, the operations of limiting production by 30%, intensifying monitoring to once a day, and gradually resuming production to a normal production rhythm are executed.

[0067] Reference Figure 2 As shown in the figure, a specific early warning and disposal method process for mine microseismic monitoring is disclosed. Specifically, step 1: microseismic early warning trigger: when the mine microseismic monitoring system detects that the energy or frequency exceeds the dynamic threshold (for example, the energy of a single microseismic event ≥ 1× J or the event frequency per unit time ≥ 5 times / hour), the system automatically triggers a microseismic warning and starts the emergency response procedure.

[0068] Step 2: Implement emergency response and preliminary disposal: immediately cut off the power supply of the mining equipment and put the hydraulic support into self-locking state; evacuate all personnel within a 500m radius of the warning point within 20 minutes through the broadcasting system and personnel positioning device; set up three-level warning zones (core area 200m prohibited from entering, buffer area 300m restricted access, monitoring area 500m real-time inspection).

[0069] Step 3: Two-stage risk assessment: Analyze and assess whether the site has rock burst risk: Use a geomechanical model to combine static parameters (coal rock burst propensity, fault distribution, initial geostress) with dynamic parameters (mining progress, microseismic energy release rate, stress change rate) to generate a three-dimensional stress cloud map.

[0070] If the model output shows that the stress concentration factor is ≥1.5 and the probability of impact within 24 hours is ≥30%, it is determined that there is a risk and the drill cuttings verification stage is entered; if the model determines that there is no risk, the drill cuttings method sampling inspection is still required (step 4).

[0071] Step 4: Drill Cuttings Precision Verification: When risks exist, drill cuttings testing is conducted in high-risk areas indicated by the model (150m for the excavation face / 300m for the stope face), with hole spacing increasing from 100m to 25m. If the single-hole drill cuttings yield ≥6kg / m (Level III risk) or blowout (air pressure ≥0.2MPa) or drill sticking (torque increase ≥30%) occurs, it is considered an excess and mitigation measures are implemented. If the drill cuttings yield is <6kg / m and there are no power issues, it is considered within the standard and production restrictions are implemented. When there are no risks, random drill cuttings testing is conducted within the standardized range (hole spacing of 100m). If the random testing results exceed the standard, the risk assessment process is re-triggered. If the results do not exceed the standard, production restrictions are implemented.

[0072] Step 5: Gradual treatment and effectiveness verification. Implement mitigation measures: Implement composite pressure relief in areas exceeding the standard; monitor the microseismic energy release rate during pressure relief in real time (if ≥200 kJ / h, suspend construction). Effectiveness verification: Remeasure drill cuttings within 12 hours after pressure relief (must decrease by ≥50%); continuously monitor the microseismic energy release rate (≤50 kJ / h) and the number of high-energy events (≤3 / 24 hours); an expert team will review the data and sign a "Safe Resumption of Production Confirmation Form." Production restrictions: Reduce mining intensity by ≥30% (e.g., shearer speed ≤3 m / d); monitor continuously for 72 hours; if abnormal data is detected, extend the production restriction by 24 hours.

[0073] Step 6: Stepwise resumption of production: Phase 1: Restore 70% of production capacity and continue monitoring for 48 hours; Phase 2: If monitoring data meets the standards (microseismic, stress, and drill cuttings are all normal), restore 100% normal production capacity;

[0074] Emergency plan: If the frequency of microseismicity suddenly increases or the amount of drill cuttings is abnormal during the resumption of production, immediately start the closed-loop process of "reducing production - re-depressurizing - re-inspection".

[0075] It can be seen that through the closed-loop process of "early warning-analysis-disposal-verification", full-cycle risk control is achieved; the geomechanical model is linked with the drill cuttings method, and the positioning error of the dangerous area is ≤15m; production restrictions replace blind shutdowns, reducing the amount of ineffective pressure relief projects by 42%.

[0076] It can be seen that the present application discloses an early warning and disposal method for mine microseismic monitoring, comprising: when a mine microseismic early warning is triggered, predicting whether there is a rock burst risk in the current mine area based on a preset geomechanical model to obtain a current prediction result; if the current prediction result indicates the existence of a rock burst risk, identifying a target dangerous area in the current mine area by a drill cuttings method, executing risk resolution measures for the target dangerous area, and performing monitoring-resumption operations after the risk resolution measures are executed; wherein, the target dangerous area is a mine area that meets preset rock burst risk conditions; if the current prediction result indicates the absence of a rock burst risk, determining whether the drill cuttings data of the current mine area is greater than a first drill cuttings volume threshold to obtain a drill cuttings data judgment result; if the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings volume threshold, determining that there is a rock burst risk in the current mine area, and then jumping to execute the step of identifying the target dangerous area in the current mine area by the drill cuttings method; if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings volume threshold, executing production restriction-monitoring-resumption operations. This shows that by first predicting whether there is a rock burst risk in the current mining area, a preliminary rock burst risk prediction result is obtained. Based on this prediction result, subsequent processes such as dangerous area identification and drill cuttings data judgment are carried out to avoid direct shutdown or blind resumption of production after the mine microseismic warning. Instead, the drill cuttings method is used to further identify and narrow down the specific target dangerous area, and to implement risk resolution measures. After the risk resolution is implemented, monitoring and resumption of production are carried out. Production is resumed while ensuring the safety of personnel in the original target dangerous area after the risk is resolved, thereby reducing losses. If the target risk area is not identified after the mine warning based on the amount of drill cuttings data, there is no need to directly shut down production. Instead, production is limited and real-time monitoring is carried out. After confirming that there is no risk, resumption of production is carried out. This systematically solves the three major problems of risk misjudgment, blind pressure relief, and disorderly resumption of production in traditional solutions.

[0077] Reference Figure 3 As shown, the present invention also discloses an early warning and disposal device for mine microseismic monitoring, comprising:

[0078] The prediction module 11 is used to predict whether there is a rock burst risk in the current mining area based on a preset geomechanical model when a mine microseismic early warning is triggered, so as to obtain the current prediction result;

[0079] The first handling module 12 is configured to, if the current prediction result indicates the presence of rock burst risk, identify a target hazardous area in the current mining area using a drill cuttings method, implement mitigation measures for the target hazardous area, and perform monitoring and resumption of production operations after the mitigation measures are implemented; wherein the target hazardous area is a mining area that meets preset rock burst risk conditions;

[0080] The second processing module 13 is configured to determine whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold if the current prediction result indicates that there is no rock burst risk, so as to obtain a drill cuttings data determination result;

[0081] a third handling module 14 configured to determine that there is a rock burst risk in the current mining area if the drill cuttings data judgment result indicates that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, and then jump to executing the step of identifying a target dangerous area in the current mining area by using the drill cuttings method;

[0082] The fourth processing module 15 is configured to execute a production restriction-monitoring-resumption operation if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold.

[0083] It can be seen that the present application discloses that when a mine microseismic warning is triggered, whether there is a rock burst risk in the current mine area is predicted based on a preset geomechanical model to obtain a current prediction result; if the current prediction result indicates the existence of a rock burst risk, the target dangerous area in the current mine area is identified by the drill cuttings method, and risk resolution measures are implemented for the target dangerous area, and monitoring-resumption of production operations are performed after the risk resolution measures are implemented; wherein, the target dangerous area is a mine area that meets the preset impact risk conditions; if the current prediction result indicates the absence of a rock burst risk, whether the drill cuttings data of the current mine area is greater than a first drill cuttings volume threshold is determined to obtain a drill cuttings data judgment result; if the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings volume threshold, it is determined that there is a rock burst risk in the current mine area, and the step of identifying the target dangerous area in the current mine area by the drill cuttings method is jumped to execution; if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings volume threshold, production restriction-monitoring-resumption of production operations are performed. This shows that by first predicting whether there is a rock burst risk in the current mining area, a preliminary rock burst risk prediction result is obtained. Based on this prediction result, subsequent processes such as dangerous area identification and drill cuttings data judgment are carried out to avoid direct shutdown or blind resumption of production after the mine microseismic warning. Instead, the drill cuttings method is used to further identify and narrow down the specific target dangerous area, and to implement risk resolution measures. After the risk resolution is implemented, monitoring and resumption of production are carried out. Production is resumed while ensuring the safety of personnel in the original target dangerous area after the risk is resolved, thereby reducing losses. If the target risk area is not identified after the mine warning based on the amount of drill cuttings data, there is no need to directly shut down production. Instead, production is limited and real-time monitoring is carried out. After confirming that there is no risk, resumption of production is carried out. This systematically solves the three major problems of risk misjudgment, blind pressure relief, and disorderly resumption of production in traditional solutions.

[0084] Furthermore, the embodiment of the present application also discloses an electronic device, Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram should not be considered as any limitation to the scope of application of the present application.

[0085] Figure 4 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps of the early warning and disposal method for mine microseismic monitoring disclosed in any of the aforementioned embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0086] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device. The communication protocol it follows is any communication protocol that can be applied to the technical solution of this application and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world. Its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0087] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0088] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or CD, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0089] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, enabling the processor 21 to calculate and process the massive amount of data 223 in the memory 22. The operating system 221 can be Windows Server, NetWare, Unix, Linux, etc. In addition to including computer programs capable of implementing the early warning and disposal methods for mine microseismic monitoring performed by the electronic device 20 as disclosed in any of the aforementioned embodiments, the computer programs 222 can also include computer programs capable of performing other specific tasks. Data 223 can include data received by the electronic device from external devices as well as data collected by its own input and output interface 25.

[0090] Furthermore, this application discloses a computer-readable storage medium for storing a computer program; wherein, when executed by a processor, the computer program implements the aforementioned method for early warning and disposal of mine microseismic monitoring. The specific steps of this method can be found in the corresponding contents disclosed in the aforementioned embodiments and will not be further described here.

[0091] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0092] Professionals may further appreciate that the units and algorithmic steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. The steps of the method or algorithm described in conjunction with the embodiments disclosed herein can be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module can be placed in a random access memory RAM (Random Access Memory), memory, read-only memory ROM (Read Only Memory), electrically programmable EPROM (Electrically Programmable Read Only Memory), electrically erasable programmable EEPROM (Electric Erasable Programmable Read Only Memory), registers, hard disk, removable disk, CD-ROM (Compact Disc-Read Only Memory), or any other form of storage medium known in the technical field.

[0093] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0094] The above is a detailed introduction to the solution provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A method for early warning and disposal of microseismic monitoring in mines, characterized in that: include: When a mine microseismic warning is triggered, the system predicts whether there is a rock burst risk in the current mining area based on the preset geomechanical model to obtain the current prediction result; If the current prediction result indicates the presence of rock burst risk, a target dangerous area in the current mining area is identified using a drill cuttings method, and mitigation measures are implemented for the target dangerous area. After the mitigation measures are implemented, monitoring and resumption of production are performed; wherein the target dangerous area is a mining area that meets preset rock burst risk conditions; If the current prediction result indicates that there is no rock burst risk, determining whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold to obtain a drill cuttings data determination result; If the drill cuttings data judgment result is that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, it is determined that there is a rock burst risk in the current mining area, and the process jumps to executing the step of identifying the target dangerous area in the current mining area by using the drill cuttings method; If the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold, the production restriction-monitoring-resumption operation is performed.

2. The early warning and disposal method for mine microseismic monitoring according to claim 1 is characterized in that: The method of predicting whether there is a rock burst risk in the current mining area based on a preset geomechanical model to obtain a current prediction result includes: Obtain static parameters including coal and rock characteristic indicators and geological indicators in the current mining area, wherein the coal and rock characteristic indicators include elastic energy index and rock stratum mechanical parameters, and the geological indicators include fault / fold stress amplification index and initial ground stress field index; Obtaining dynamic parameters in the current mining area, including mining activity monitoring indicators and mine microseismic and stress change indicators; wherein the mining activity monitoring indicators include a shearer advance speed indicator and a support status indicator; and the mine microseismic and stress change indicators include a microseismic energy release indicator, a source migration rate indicator, and a stress change rate indicator; Inputting the static parameters and the dynamic parameters into a preset geomechanical model, so that the preset geomechanical model generates a current stress cloud map based on fusion modeling of the static parameters and the dynamic parameters, calculates a current stress concentration factor of the current stress cloud map, and extracts stress field characteristics; Matching the static parameters, the dynamic parameters and corresponding impact indicators of historical impact accidents through the preset geomechanical model, and calculating the matching degree of the historical impact accidents; Outputting a rock burst risk prediction probability value through the preset geomechanical model and based on the current stress concentration factor, the stress field characteristics, and the matching degree of the historical rock burst accidents; Determine whether there is a rock burst risk in the current mining area based on the rock burst risk prediction probability value.

3. The early warning and disposal method for mine microseismic monitoring according to claim 2 is characterized in that: The generating of the current stress cloud map based on the fusion modeling of the static parameters and the dynamic parameters includes: constructing an initial three-dimensional geomechanical grid based on the static parameters, and solving the stress field distribution on the initial three-dimensional geomechanical grid to obtain an initial stress field distribution; fusing the dynamic parameters into the initial stress field distribution to obtain an updated stress field distribution; The three-dimensional geomechanical grid is updated using each local stress value of the updated stress field distribution to generate a current stress cloud map.

4. The early warning and disposal method for mine microseismic monitoring according to claim 2 is characterized in that: The extracting of stress field characteristics includes: The current maximum principal stress value, the current stress gradient, and the current stress distribution uniformity index are extracted from the current stress cloud map at preset time intervals; wherein the current maximum principal stress value is an indicator reflecting the regional stress intensity, the current stress gradient is the spatial stress change rate, and the current stress distribution uniformity index is a uniformity index determined based on the stress value mean and the stress value standard deviation.

5. The early warning and disposal method for mine microseismic monitoring according to claim 1 is characterized in that: The identifying of the target dangerous area in the current mine area by using the drill cuttings method includes: Set the mine microseismic early warning point as the center, extend the preset length axially to obtain the excavation face, and then set the target detection range of the mining face; Drilling is performed in the to-be-drilled areas set at the excavation face and the mining face using a strategy of decreasing hole spacing. When the drill cuttings data of a single borehole is greater than a second drill cuttings threshold, or when any one or more of blowout and drill sticking phenomena occur in a single borehole, the area where the current borehole is located is identified as a target dangerous area.

6. The early warning and disposal method for mine microseismic monitoring according to claim 1, characterized in that: The emergency measures include drilling pressure relief and blasting pressure relief.

7. The early warning and disposal method for mine microseismic monitoring according to claim 6, characterized in that: The monitoring-resumption operation includes: Complete drill cuttings retest within a preset time period after borehole pressure relief and obtain drill cuttings data after retest; Monitor the energy release rate of microseismic monitoring over a continuous time period; If the drill cuttings data after retesting and the energy release rate of the microseismic monitoring meet the production resumption conditions, a step-by-step production resumption operation is initiated.

8. A mine microseismic monitoring early warning and disposal device, characterized in that: include: The prediction module is used to predict whether there is a rock burst risk in the current mining area based on a preset geomechanical model when a mine microseismic warning is triggered, so as to obtain the current prediction result; A first handling module is configured to, if the current prediction result indicates the presence of rock burst risk, identify a target hazardous area in the current mining area using a drill cuttings method, implement mitigation measures for the target hazardous area, and perform monitoring-resumption operations after the mitigation measures are implemented; wherein the target hazardous area is a mining area that meets preset rock burst risk conditions; a second processing module configured to determine whether the drill cuttings data of the current mining area is greater than a first drill cuttings amount threshold if the current prediction result indicates that there is no rock burst risk, so as to obtain a drill cuttings data determination result; a third handling module, configured to determine that there is a rock burst risk in the current mining area if the drill cuttings data judgment result indicates that the drill cuttings data is greater than or equal to the first drill cuttings amount threshold, and then jump to executing the step of identifying a target dangerous area in the current mining area by using the drill cuttings method; The fourth processing module is used to execute the production restriction-monitoring-resumption operation if the drill cuttings data judgment result is that the drill cuttings data is less than the first drill cuttings amount threshold.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the steps of the early warning and disposal method for mine microseismic monitoring as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Used to store computer programs; wherein, when the computer program is executed by a processor, the steps of the early warning and disposal method for mine microseismic monitoring are implemented as described in any one of claims 1 to 7.

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