CN115826037A - Assessment method for monitoring and early warning capability of mine goaf microseismic monitoring and early warning system - Google Patents

Assessment method for monitoring and early warning capability of mine goaf microseismic monitoring and early warning system Download PDF

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CN115826037A
CN115826037A CN202211361608.8A CN202211361608A CN115826037A CN 115826037 A CN115826037 A CN 115826037A CN 202211361608 A CN202211361608 A CN 202211361608A CN 115826037 A CN115826037 A CN 115826037A
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mine goaf
monitoring
warning system
safety
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CN115826037B (en
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甄智鑫
刘晓辉
张鸿川
郭晓东
王景超
于跟波
龚宇同
吴永刚
刘智超
马永超
张志东
毕媛媛
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Chifeng Nfc Baiyinnuoer Mining Co ltd
Beijing Gxak Technology Co ltd
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Chifeng Nfc Baiyinnuoer Mining Co ltd
Beijing Gxak Technology Co ltd
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Abstract

The invention discloses a method for evaluating the monitoring and early warning capability of a mine goaf micro-seismic monitoring and early warning system, which comprises the following steps: comprehensively grading the instability risk of the mine goaf by utilizing the exposed area and the span of the top plate; establishing a safety integrity evaluation model of the system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the micro-seismic monitoring and early-warning system, and dividing the safety integrity grade of the system; according to the lowest reasonable feasible criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the micro-seismic monitoring and early-warning system; and calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system to be evaluated according to the matching relation model. By adopting the method and the device, the monitoring and early warning capability of the microseismic monitoring system can be accurately evaluated.

Description

Assessment method for monitoring and early warning capability of mine goaf microseismic monitoring and early warning system
Technical Field
The invention relates to the technical field of evaluation of a micro-seismic monitoring and early-warning system, in particular to an evaluation method for monitoring and early-warning capability of a mine goaf micro-seismic monitoring and early-warning system.
Background
The microseismic monitoring and early warning system is widely applied to the monitoring and early warning work of the earth pressure activity of the mine goaf in China, but whether the monitoring and early warning capability of the microseismic monitoring and early warning system of the mine goaf meets the requirement or not, due to the fact that related technical layers are not uniform, no effective evaluation method exists at present, and no special evaluation standard and regulation are formed, so that a plurality of problems are brought to the evaluation work of the microseismic monitoring and early warning system of the mine goaf.
Disclosure of Invention
The invention provides an assessment method for monitoring and early warning capability of a mine goaf micro-seismic monitoring and early warning system, which is used for assessing the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system. The technical scheme is as follows:
on one hand, the method for evaluating the monitoring and early warning capability of the mine goaf microseismic monitoring and early warning system comprises the following steps:
s1, calculating the stability of a top plate of a mine goaf by using two indexes of the exposed area of the top plate and the span of the top plate, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
s2, establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
s3, according to the lowest reasonable and feasible ALARP criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system, and determining the safety integrity requirements of the mine goaf micro-seismic monitoring and early-warning system with different instability risk levels;
and S4, calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
Optionally, the S1 calculates the stability of the top plate of the mine goaf by using two indexes, namely, the exposed area of the top plate and the span of the top plate, and comprehensively classifies the instability risk of the mine goaf according to a classification standard of the stability of the top plate of the mine goaf, specifically including:
calculating a Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing the exposed area of the roof panel by the hydraulic radius;
according to the calculation result of the exposed area of the top plate, referring to a goaf grading standard in a large and medium-sized goaf investigation report of a metal and nonmetal mine issued by the State safety production administration, and formulating a stability grading standard of the exposed area of the top plate of the mine goaf according to engineering experience;
according to the established stability grading standard of the exposed area of the top plate of the mine goaf, carrying out first grading on the instability risk of the mine goaf;
the roof span D and the rock mass Q have the following relations: d =2 × ESR × Q 0.4 ESR is the support ratio of the excavation body;
according to the Q value of a reference rock mass and the quality evaluation of the rock mass, selecting an ESR value according to engineering experience, and calculating to obtain a value of the roof span;
according to the actual situation of the top plate of the mine goaf, determining the stability grading standard of the top plate span by referring to the Q value and quality evaluation of the rock mass;
according to the established stability grading standard of the top plate span of the mine goaf, carrying out second grading on the instability risk of the mine goaf;
and when the two indexes are comprehensively graded, taking the lower safety in the first grading and the second grading as the instability risk grade of the mine goaf.
Optionally, in S2, according to the influence factors of the safety integrality of the three safety-related subsystems of the personnel behavior, the technical process and the operation management of the mine goaf micro-seismic monitoring and early-warning system, a safety integrality evaluation model of the mine goaf micro-seismic monitoring and early-warning system is established, and the classification of the safety integrality level of the mine goaf micro-seismic monitoring and early-warning system specifically includes:
total score S of personnel behavior safety related subsystem r Is defined as:
Figure BDA0003922810490000031
total score of technical process safety related subsystemS j Is defined as:
Figure BDA0003922810490000032
total score S for job management safety-related subsystem z Is defined as:
Figure BDA0003922810490000033
in the formula, s ri Assigning scores to each influence factor of the safety integrity of the subsystem related to the behavior safety of the personnel; s is ji Assigning scores to each influence factor of the safety integrity of the technical process safety related subsystem; s zi Assigning points to each influence factor of the safety integrity of the operation management safety related subsystem; alpha is a score coefficient corresponding to each influence factor, and alpha is divided into 1,2 and 3 coefficients by combining the best practice method, and the coefficients respectively correspond to the following factors: the method does not meet, basically meets and meets, wherein the meeting is that all the requirements meet the design requirements; the basic functions can be realized, but not all the basic functions meet the design requirements; the non-satisfaction is that the basic function cannot be realized;
the evaluation of the subsystem related to the personnel behavior safety is divided into:
Figure BDA0003922810490000034
the evaluation of the technical process safety related subsystem is divided into:
Figure BDA0003922810490000035
the evaluation of the job management security related subsystem is divided into:
Figure BDA0003922810490000036
determining the safety integrity level of the corresponding subsystem according to the evaluation scores of three safety related subsystems of personnel behavior, technical process and operation management, and giving corresponding index assignments, wherein the index assignments are respectively four values of 1,2,3 and 4;
and (3) integrating the evaluation results of the three safety-related subsystems, integrating the safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system:
T=g(T r ,T j ,T z ) (formula 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree of the value from the target is, and the farther the distance is, and in the three-dimensional evaluation model, the distance is expressed as a spatial distance:
Figure BDA0003922810490000037
simplifying a formula to obtain a safety integrity index G of the mine goaf microseismic monitoring and early warning system:
Figure BDA0003922810490000038
in the formula, t r (r=1,2,3,4),t j (j=1,2,3,4),t z (z =1,2,3,4) assigning indexes of safety integrity of the personnel behavior safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem respectively;
and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system into 4 levels according to the safety integrity level evaluation model and each index assignment of the mine goaf micro-seismic monitoring and early-warning system and by combining a metal nonmetal mine large and medium goaf investigation report.
Optionally, the safety integrity level of the mine goaf microseismic monitoring and early warning system is divided into 4 levels, which specifically include:
when the safety integrity index G is [1.0,2.5 ], the safety integrity grade is SIL4, which indicates that the monitoring and early warning capability is very strong;
when the safety integrity index G is [2.5,4.0 ], the safety integrity grade is SIL3, which indicates that the monitoring and early warning capability is strong;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, and the monitoring and early warning capability is general;
when the safety integrity index G is [5.5,7.0 ], the safety integrity grade is SIL1, which indicates that the monitoring and early warning capability is weak.
Optionally, the S3 establishes a matching relationship model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf microearthquake monitoring and early warning system according to the lowest reasonable feasible ALARP criterion, and determines safety integrity requirements of the microearthquake monitoring and early warning system in the mine goaf with different instability risk levels, and specifically includes:
based on the ALARP criterion, dividing the mine goaf risk acceptance criterion into:
risk class I, unacceptable: the mine goaf has the possibility of collapse and unacceptable risk, a micro-seismic monitoring and early warning system with the highest safety integrity level needs to be equipped, and effective measures are taken to eliminate or control the risk;
risk class II, undesirable: the mine goaf is unstable, the risk is not expected, a micro-seismic monitoring and early warning system with the second highest safety integrity level is required to be equipped, and under the condition of reasonable technology and economy, measures are further taken to reduce the risk to an acceptable level;
risk class iii, tolerable: the mine goaf is stable, risks can be tolerated, a microseismic monitoring and early warning system with the third highest safety integrity level needs to be equipped, and if reasonable and feasible measures exist, the measures are further taken to reduce the risks;
risk class iv, generally accepted: the mine goaf is stable, the risk can be accepted, only a monitoring and early warning system with the lowest safety integrity level needs to be configured, and other measures in the mining area are not needed;
and constructing the matching relation model between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early warning system based on the mine goaf risk acceptance criterion and by combining a partitioning method of the safety integrity of the mine goaf micro-seismic monitoring and early warning system.
Optionally, the matching relationship model specifically includes:
when the maximum safety integrity level of the mine goaf micro-seismic monitoring and early-warning system is SIL4, the monitoring and early-warning requirements of the mine goaf at all instability risk levels are met, but along with the reduction of the instability risk level of the mine goaf, the matching degree between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early-warning system is gradually reduced;
when the maximum safety integrity levels of the mine goaf microseismic monitoring and early warning system are SIL3, SIL2 and SIL1, the monitoring and early warning system respectively represents the second, third and minimum safety integrity levels, the instability risk levels of the optimally matched mine goaf are III, II and I, and III, II and I respectively represent unsafe, safer and safer;
and when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf micro-seismic monitoring and early-warning system, the mine goaf micro-seismic monitoring and early-warning system cannot meet the monitoring and early-warning requirements of the mine goaf instability risk.
Optionally, in S4, the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system are calculated, and the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated is evaluated according to the matching relationship model, which specifically includes:
calculating a top plate exposed area and a top plate span of the mine goaf to be evaluated, and calculating the instability risk level of the mine goaf to be evaluated according to the top plate exposed area and the top plate span;
determining the safety integrity level of the optimal matching monitoring and early warning system of the mine goaf to be evaluated according to the matching relation model;
respectively determining the score coefficients alpha corresponding to all influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system to be evaluated by using an index analysis method and a specific scene experimental analysis method;
calculating the total score and the evaluation score of the three subsystems according to the score coefficient alpha corresponding to each influence factor, and obtaining a safety integrity index G and a corresponding safety integrity level of the mine goaf micro-seismic monitoring and early-warning system to be evaluated;
and comparing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system to be evaluated with the safety integrity level of the optimal matching monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the mine goaf micro-seismic monitoring and early-warning system to be evaluated meets the requirement.
On the other hand, an evaluation device of monitoring and early warning capability of a mine goaf micro-seismic monitoring and early warning system is provided, the device comprises:
the grading module is used for calculating the stability of the top plate of the mine goaf by utilizing two indexes of the exposed area of the top plate and the span of the top plate and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
the partitioning module is used for establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and partitioning the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
the construction module is used for constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the micro-seismic monitoring and early-warning system of the mine goaf with different instability risk levels;
and the evaluation module is used for calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
On the other hand, the electronic equipment comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the evaluation method of the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system.
In another aspect, a computer-readable storage medium is provided, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the method for evaluating the monitoring and early warning capability of the mine goaf microseismic monitoring and early warning system.
The technical scheme provided by the invention has the beneficial effects that at least:
the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system can be accurately evaluated, the mine enterprise can be helped to select the micro-seismic monitoring and early warning system with the optimal economic technology, and the safety management level of the mine is remarkably improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of an assessment method for monitoring and early warning capability of a mine goaf microseismic monitoring and early warning system provided by the embodiment of the invention;
FIG. 2 is a block diagram of an evaluation device for monitoring and early warning capability of a mine goaf micro-seismic monitoring and early warning system provided by an embodiment of the invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a method for evaluating monitoring and early warning capabilities of a mine goaf microseismic monitoring and early warning system, where the method includes:
s1, calculating the stability of a top plate of a mine goaf by using two indexes of the exposed area of the top plate and the span of the top plate, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
s2, establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
s3, according to the lowest reasonable and feasible ALARP criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system, and determining the safety integrity requirements of the mine goaf micro-seismic monitoring and early-warning system with different instability risk levels;
and S4, calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
The method for evaluating the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system in the embodiment of the invention is described in detail below, and comprises the following steps:
s1, calculating the stability of a top plate of a mine goaf by using two indexes of the exposed area of the top plate and the span of the top plate, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
optionally, the S1 calculates the stability of the top plate of the mine goaf by using two indexes, namely, the exposed area of the top plate and the span of the top plate, and comprehensively classifies the instability risk of the mine goaf according to a classification standard of the stability of the top plate of the mine goaf, specifically including:
calculating a Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing the exposed area of the roof panel by the hydraulic radius;
since the hydraulic radius can be expressed as the ratio of the surface area divided by the perimeter of the exposed face, the hydraulic radius is often used to characterize the exposed area of the top plate.
According to the calculation result of the exposed area of the top plate, referring to a goaf grading standard in a large and medium-sized goaf investigation report of a metal and nonmetal mine issued by the State safety production administration, and formulating a stability grading standard of the exposed area of the top plate of the mine goaf according to engineering experience;
according to the established stability grading standard of the exposed area of the top plate of the mine goaf, carrying out first grading on the instability risk of the mine goaf;
the roof span D and the rock mass Q have the following relations: d =2 × ESR × Q 0.4 ESR is the support ratio of the excavation body;
according to the Q value of a reference rock mass and the quality evaluation of the rock mass, selecting an ESR value according to engineering experience, and calculating to obtain a value of the roof span;
according to the actual situation of the top plate of the mine goaf, determining the stability grading standard of the top plate span by referring to the Q value of the rock mass and the quality evaluation of the rock mass;
according to the established stability grading standard of the top plate span of the mine goaf, carrying out second grading on the instability risk of the mine goaf;
and when the two indexes are comprehensively graded, taking the lower safety in the first grading and the second grading as the instability risk grade of the mine goaf.
S2, establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early warning system;
optionally, in S2, according to the influence factors of the safety integrality of the three safety-related subsystems of the personnel behavior, the technical process and the operation management of the mine goaf micro-seismic monitoring and early-warning system, a safety integrality evaluation model of the mine goaf micro-seismic monitoring and early-warning system is established, and the classification of the safety integrality level of the mine goaf micro-seismic monitoring and early-warning system specifically includes:
the safety integrity of the human behavioral safety-related subsystems may be graded using Human Factor Assessment Method (HFAM) recommended by the british health and safety enforcement agency (HSE) in combination with a best practice method, which is a management concept that considers the existence of a technique, method, process, activity or mechanism that optimizes the results of production or management practices and reduces the possibility of errors, the grading process specifically including:
total score S of personnel behavior safety related subsystem r Is defined as:
Figure BDA0003922810490000091
total score S of technical process safety related subsystem j Is defined as:
Figure BDA0003922810490000092
total score S for job management safety-related subsystem z Is defined as:
Figure BDA0003922810490000093
in the formula, s ri Assigning each influencing factor of the safety integrity of the sub-system related to the behavior safety of the person as shown in the table 1, wherein the physiological, psychological and professional skills are categories, and each category comprises the influencing factors s below the category ji Assigning scores to each influence factor of the safety integrity of the technical process safety related subsystem as shown in table 2, wherein the design, construction and operation are categories, and each category comprises the following influence factors; s zi Assigning scores to each influence factor of the safety integrity of the operation management safety-related subsystem, as shown in table 3, wherein organization management, system specification and daily management are categories, and each category comprises the following influence factors; alpha is a score coefficient corresponding to each influence factor, and alpha is divided into 1,2 and 3 coefficients by combining the best practice method, and the coefficients respectively correspond to the following factors: the method does not meet, basically meets and meets, wherein the meeting is that all the requirements meet the design requirements; the basic functions can be realized, but not all the basic functions meet the design requirements; the unsatisfied condition is that the basic function cannot be realized;
TABLE 1 assignment of various influencing factors for safety integrity of personnel behavior safety-related subsystems
Figure BDA0003922810490000101
TABLE 2 assignment of various influencing factors for the safety integrity of technical process safety-related subsystems
Figure BDA0003922810490000102
Figure BDA0003922810490000111
TABLE 3 assignment of various influencing factors for safety integrity of job management safety-related subsystems
Figure BDA0003922810490000112
Figure BDA0003922810490000121
The evaluation of the subsystem related to the personnel behavior safety is divided into:
Figure BDA0003922810490000122
the evaluation of the technical process safety related subsystem is divided into:
Figure BDA0003922810490000123
the evaluation of the job management security related subsystem is divided into:
Figure BDA0003922810490000124
according to the evaluation scores of three safety-related subsystems of personnel behavior, technical process and operation management, determining the safety integrity level of the corresponding subsystem, and giving corresponding index assignment, wherein the index assignment is respectively four values of 1,2,3 and 4, as shown in table 4, wherein the subsection interval of the evaluation score of the embodiment of the invention is obtained by referring to a human factor evaluation method.
TABLE 4 safety integrity ratings of three safety-related subsystems
Figure BDA0003922810490000125
And (3) integrating the evaluation results of the three safety-related subsystems, integrating the safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system:
T=g(T r ,T j ,T z ) (formula 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree of the value from the target is, and the farther the distance is, and in the three-dimensional evaluation model, the distance is expressed as a spatial distance:
Figure BDA0003922810490000126
simplifying a formula to obtain a safety integrity index G of the mine goaf microseismic monitoring and early warning system:
Figure BDA0003922810490000131
in the formula, t r (r=1,2,3,4),t j (j=1,2,3,4),t z (z =1,2,3,4) assigning indexes of safety integrity of the personnel behavior safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem respectively;
according to the safety integrity level evaluation model and each index assignment of the mine goaf micro-seismic monitoring and early-warning system, the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system is divided into 4 levels by combining a metal nonmetal mine large and medium goaf investigation report, as shown in table 5.
TABLE 5 mine goaf microearthquake monitoring and early warning system safety integrity level
Figure BDA0003922810490000132
Optionally, the safety integrity level of the mine goaf microseismic monitoring and early warning system is divided into 4 levels, which specifically include:
when the safety integrity index G is [1.0, 2.5), the safety integrity grade is SIL4, which indicates that the monitoring and early warning capability is very strong;
when the safety integrity index G is [2.5,4.0 ], the safety integrity grade is SIL3, which indicates that the monitoring and early warning capability is strong;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, and the monitoring and early warning capability is general;
when the safety integrity index G is [5.5,7.0 ], the safety integrity grade is SIL1, which indicates that the monitoring and early warning capability is weak.
The higher the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system is, namely the higher the SIL value is, the stronger the capacity that the related safety system of the mine goaf micro-seismic monitoring and early-warning system can realize the goaf monitoring and early-warning function at a specific time and in a specific state is. The optimal matching of the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early warning system is the optimal choice for realizing safe production and economic rationality.
S3, according to the lowest reasonable and feasible ALARP criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system, and determining the safety integrity requirements of the mine goaf micro-seismic monitoring and early-warning system with different instability risk levels;
the least Reasonable feasible (As Low As accessible Practical, ALARP) criterion, also known As the principle of being reasonably As Low As possible, is the basic idea of dividing the risk into three levels, which represent "unacceptable", "acceptable" and "widely acceptable" risks, respectively, and reducing the risk in relation to economic benefit.
The embodiment of the invention is based on ALARP criterion, and divides the mine goaf risk acceptance criterion into:
risk class I, unacceptable: the mine goaf has the possibility of collapse and unacceptable risk, a micro-seismic monitoring and early warning system with the highest safety integrity level needs to be equipped, and effective measures are taken to eliminate or control the risk;
risk class II, undesirable: the mine goaf is unstable, the risk is not expected, a micro-seismic monitoring and early warning system with the second highest safety integrity level is required to be equipped, and under the condition of reasonable technology and economy, measures are further taken to reduce the risk to an acceptable level;
risk class iii, tolerable: the mine goaf is stable, risks can be tolerated, a microseismic monitoring and early warning system with the third highest safety integrity level needs to be equipped, and if reasonable and feasible measures exist, the measures are further taken to reduce the risks;
risk class iv, generally accepted: the mine goaf is stable, the risk can be accepted, only a monitoring and early warning system with the lowest safety integrity level needs to be configured, and other measures in the mining area are not needed;
based on the mine goaf risk acceptance criterion, the matching relation model between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early warning system is constructed by combining the partitioning method of the safety integrity of the mine goaf microseismic monitoring and early warning system, as shown in table 6.
TABLE 6 model of matching relationship between instability risk level of mine goaf and safety integrity level of micro-seismic monitoring and early warning system
Figure BDA0003922810490000141
Optionally, the matching relationship model specifically includes:
when the maximum safety integrity level of the mine goaf micro-seismic monitoring and early-warning system is SIL4, the monitoring and early-warning requirements of the mine goaf at all instability risk levels are met, but along with the reduction of the instability risk level of the mine goaf, the matching degree between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early-warning system is gradually reduced;
when the maximum safety integrity levels of the mine goaf microseismic monitoring and early warning system are SIL3, SIL2 and SIL1, the monitoring and early warning system respectively represents the second, third and minimum safety integrity levels, the instability risk levels of the optimally matched mine goaf are III, II and I, and III, II and I respectively represent unsafe, safer and safer;
and when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf micro-seismic monitoring and early-warning system, the mine goaf micro-seismic monitoring and early-warning system cannot meet the monitoring and early-warning requirements of the mine goaf instability risk.
And S4, calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
Optionally, in S4, the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system are calculated, and the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated is evaluated according to the matching relationship model, which specifically includes:
calculating the exposed area and the span of a top plate of the mined-out area of the mine to be evaluated, and calculating the instability risk level of the mined-out area of the mine to be evaluated according to the exposed area and the span of the top plate;
determining the safety integrity level of the optimal matching monitoring and early warning system of the mine goaf to be evaluated according to the matching relation model;
respectively determining the score coefficients alpha corresponding to all influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system to be evaluated by using an index analysis method and a specific scene experimental analysis method;
the index analysis method is used for carrying out corresponding analysis according to the actual situation of each index. For example, for sensor arrangement indexes in various influence factors of safety integrity of a technical process safety related subsystem, analyzing the enveloping effect of the goaf according to the effective detection range of the sensor, and obtaining a score coefficient alpha corresponding to the influence factors;
and then, carrying out scene simulation analysis on the microseismic monitoring and early warning system in the rainstorm and rock stratum breaking scene, and correcting the score coefficient alpha corresponding to each influence factor.
Calculating the total score and the evaluation score of the three subsystems according to the score coefficient alpha corresponding to each influence factor, and obtaining a safety integrity index G and a corresponding safety integrity level of the mine goaf micro-seismic monitoring and early-warning system to be evaluated;
and comparing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system to be evaluated with the safety integrity level of the optimal matching monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the mine goaf micro-seismic monitoring and early-warning system to be evaluated meets the requirement.
In the embodiment of the invention, the goaf micro-seismic monitoring and early warning system of a certain Mongolia mine is taken as an example, and the mine has 10 goafs.
According to the calculation result of the exposed area of the top plate, referring to a goaf grading standard in a metal nonmetal mine large and medium goaf investigation report, and formulating a stability grading standard of the exposed area of the top plate of the mine goaf according to engineering experience;
in the embodiment of the invention, the stability grading standard of the exposed area of the top plate of the goaf of the mine is determined by taking the stability calculation result of the top plate as limestone as reference according to the most unfavorable condition of the top plate of the mine, as shown in table 7.
TABLE 7 grading Standard of stability of Top plate exposed area of mined-out area
Figure BDA0003922810490000161
For the selection of the safety grading standard of the roof span, the embodiment of the invention refers to the rock mass Q value and the rock mass quality evaluation according to the actual situation of the roof of the mine goaf, selects the ESR value according to the engineering experience, and respectively calculates the ESR value as 1.6, 2.0 and 3.0. Because the conditions of a large number of goaf roof rock masses are uncertain, the roof residual ores are recovered at the later stage, and finally exposed rock stratums of the roof are marble, the maximum non-support span of the roof is calculated according to the worst condition consideration of the roof, the roof is marble and based on the result of Q system rock mass classification, so that the safety classification standard of the roof span is determined, and the safety classification standard is shown in Table 8.
TABLE 8 stability grading Standard for roof spans
Figure BDA0003922810490000171
The stability of the goaf roof is comprehensively graded according to the stability grading standard of the roof exposure area and the stability grading standard of the roof span established by the embodiment of the invention, and the result is shown in table 9.
TABLE 9 grading of instability risk of mine goaf roof
Figure BDA0003922810490000172
Statistics of the evaluation results in table 9 show that the goaf in the level iii and below conditions in the embodiment of the present invention accounts for 90% of the total goaf, and the goaf in the level iv (unsafe) conditions accounts for 10% of the total goaf space.
According to a matching relation model (table 6) between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system, the optimum matching micro-seismic monitoring and early-warning system safety integrity level of the mine goaf with different instability risk levels is determined, as shown in table 10.
TABLE 10 optimal matching microseismic monitoring and early warning system safety integrity grade of different mine goafs
Figure BDA0003922810490000173
Figure BDA0003922810490000181
Respectively determining the score coefficients alpha corresponding to all influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system to be evaluated by using an index analysis method and a specific scene analysis method;
firstly, obtaining a score coefficient alpha corresponding to each influence factor by using an index analysis method;
then, carrying out scene simulation analysis on the microseismic monitoring and early warning system in the rainstorm and rock stratum breaking scene, and correcting the score coefficient alpha corresponding to each influence factor;
and calculating the total score of the three subsystems according to the score coefficient alpha corresponding to each corrected influence factor, and calculating to obtain the evaluation scores of the three subsystems which are respectively 84%, 87% and 93%, so as to obtain the safety integrity index G of the mine goaf microseismic monitoring and early warning system to be evaluated and the corresponding safety integrity grade SIL3.
The safety integrity grade of the mine goaf microseismic monitoring and early warning system to be evaluated is compared with the optimal matching safety integrity grade of the goaf in the table 10, so that the current microseismic monitoring and early warning system can be found, and the monitoring and early warning requirements of ground pressure activities of all other goafs except the No. 1 goaf can be met. In view of the fact that the risk level of the No. 1 goaf exceeds the monitoring and early warning capability of the micro-seismic monitoring and early warning system, the treatment force of the No. 1 goaf needs to be increased for the mine, and the requirement of the No. 1 goaf on the safety integrity of the goaf micro-seismic monitoring and early warning system is reduced. In addition, the mine enterprises can select measures such as a monitoring sensor with more advanced performance by increasing the density of the monitoring sensor near the high-risk goaf, so that the monitoring and early warning capability of the existing goaf micro-seismic monitoring and early warning system is improved.
As shown in fig. 2, an embodiment of the present invention further provides an evaluation apparatus for monitoring and early warning capability of a mine goaf microseismic monitoring and early warning system, where the apparatus includes:
the grading module 210 is configured to calculate the stability of the top plate of the mine goaf by using two indexes, namely the exposed area of the top plate and the span of the top plate, and comprehensively grade the instability risk of the mine goaf according to a grading standard of the stability of the top plate of the mine goaf;
the dividing module 220 is used for establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
the construction module 230 is used for constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the mine goaf micro-seismic monitoring and early-warning system with different instability risk levels;
and the evaluation module 240 is used for calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
The functional structure of the evaluation device for the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system provided by the embodiment of the invention corresponds to the evaluation method for the monitoring and early warning capability of the mine goaf micro-seismic monitoring and early warning system provided by the embodiment of the invention, and the details are not repeated here.
Fig. 3 is a schematic structural diagram of an electronic device 300 according to an embodiment of the present invention, where the electronic device 300 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 301 and one or more memories 302, where the memory 302 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 301 to implement the step of the method for evaluating the monitoring and warning capability of the mine goaf microseismic monitoring and warning system.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, including instructions executable by a processor in a terminal is further provided, for performing the method for evaluating the monitoring and early warning capability of the mine goaf microseismic monitoring and early warning system. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A method for evaluating monitoring and early warning capability of a mine goaf microseismic monitoring and early warning system is characterized by comprising the following steps:
s1, calculating the stability of a top plate of a mine goaf by using two indexes of the exposed area of the top plate and the span of the top plate, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
s2, establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
s3, according to the lowest reasonable and feasible ALARP criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system, and determining the safety integrity requirements of the mine goaf micro-seismic monitoring and early-warning system with different instability risk levels;
and S4, calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
2. The method according to claim 1, wherein the step S1 of calculating the stability of the top plate of the mine goaf by using two indexes of the top plate exposed area and the top plate span and comprehensively grading the instability risk of the mine goaf according to the mine goaf top plate stability grading standard comprises the following steps:
calculating a Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing the exposed area of the roof with the hydraulic radius;
according to the calculation result of the exposed area of the top plate, referring to a goaf grading standard in a large and medium-sized goaf investigation report of a metal and nonmetal mine issued by the State safety production administration, and formulating a stability grading standard of the exposed area of the top plate of the mine goaf according to engineering experience;
according to the established stability grading standard of the exposed area of the top plate of the mine goaf, carrying out first grading on the instability risk of the mine goaf;
the roof span D and the rock mass Q have the following relations: d =2 × ESR × Q 0.4 ESR is the support ratio of the excavation body;
according to the Q value of a reference rock mass and the quality evaluation of the rock mass, selecting an ESR value according to engineering experience, and calculating to obtain a value of the roof span;
according to the actual situation of the top plate of the mine goaf, determining the stability grading standard of the top plate span by referring to the Q value and quality evaluation of the rock mass;
according to the established stability grading standard of the top plate span of the mine goaf, carrying out second grading on the instability risk of the mine goaf;
and when the two indexes are comprehensively graded, taking the lower safety in the first grading and the second grading as the instability risk grade of the mine goaf.
3. The method according to claim 2, wherein the step S2 of establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to influence factors of safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system and classifying the safety integrity grade of the mine goaf micro-seismic monitoring and early-warning system specifically comprises the following steps:
total score S of personnel behavior safety related subsystem r Is defined as:
Figure FDA0003922810480000021
total score S of technical process safety related subsystem j Is defined as follows:
Figure FDA0003922810480000022
total score S for job management safety-related subsystem z Is defined as:
Figure FDA0003922810480000023
in the formula, s ri Assigning scores to each influence factor of the safety integrity of the subsystem related to the behavior safety of the personnel; s ji Assigning scores to each influence factor of the safety integrity of the technical process safety related subsystem; s zi Assigning points to each influence factor of the safety integrity of the operation management safety related subsystem; alpha is a score coefficient corresponding to each influence factor, and alpha is divided into 1,2 and 3 coefficients by combining the best practice method, and the coefficients respectively correspond to the following factors: the method does not meet, basically meets and meets, wherein the meeting is that all the requirements meet the design requirements; the basic functions can be realized as basic functions, but not all the basic functions meet the design requirements; the unsatisfied condition is that the basic function cannot be realized;
the evaluation of the subsystem related to the personnel behavior safety is divided into:
Figure FDA0003922810480000024
the evaluation of the technical process safety related subsystem is divided into:
Figure FDA0003922810480000031
the evaluation of the job management security related subsystem is divided into:
Figure FDA0003922810480000032
determining the safety integrity level of the corresponding subsystem according to the evaluation scores of three safety related subsystems of personnel behavior, technical process and operation management, and giving corresponding index assignments, wherein the index assignments are respectively four values of 1,2,3 and 4;
and (3) integrating the evaluation results of the three safety-related subsystems, integrating the safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system:
T=g(T r ,T j ,T z ) (formula 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree of the value from the target is, and the farther the distance is, and in the three-dimensional evaluation model, the distance is expressed as a spatial distance:
Figure FDA0003922810480000033
simplifying a formula to obtain a safety integrity index G of the mine goaf microseismic monitoring and early warning system:
Figure FDA0003922810480000034
in the formula, t r (r=1,2,3,4),t j (j=1,2,3,4),t z (z =1,2,3,4) assigning indices of safety integrity of the personnel behavior safety-related subsystem, the technical process safety-related subsystem and the job management safety-related subsystem, respectively;
and dividing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system into 4 levels according to the safety integrity level evaluation model and each index assignment of the mine goaf micro-seismic monitoring and early-warning system and by combining a metal nonmetal mine large and medium goaf investigation report.
4. The method as claimed in claim 3, wherein the mine goaf microseismic monitoring and pre-warning system has 4 levels of safety integrity, specifically comprising:
when the safety integrity index G is [1.0,2.5 ], the safety integrity grade is SIL4, which indicates that the monitoring and early warning capability is very strong;
when the safety integrity index G is [2.5,4.0 ], the safety integrity grade is SIL3, which indicates that the monitoring and early warning capability is strong;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, and the monitoring and early warning capability is general;
when the safety integrity index G is [5.5,7.0 ], the safety integrity grade is SIL1, which indicates that the monitoring and early warning capability is weak.
5. The method as claimed in claim 4, wherein the step S3 of establishing a matching relationship model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf microseismic monitoring and warning system according to the lowest reasonable feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and warning system of the mine goaf with different instability risk levels specifically comprises the following steps:
based on the ALARP criterion, dividing the mine goaf risk acceptance criterion into:
risk class I, unacceptable: the mine goaf has the possibility of collapse and unacceptable risk, a micro-seismic monitoring and early warning system with the highest safety integrity level needs to be equipped, and effective measures are taken to eliminate or control the risk;
risk class II, undesirable: the mine goaf is unstable, the risk is not expected, a micro-seismic monitoring and early warning system with the second highest safety integrity level is required to be equipped, and under the condition of reasonable technology and economy, measures are further taken to reduce the risk to an acceptable level;
risk class iii, tolerable: the mine goaf is stable, risks can be tolerated, a microseismic monitoring and early warning system with the third highest safety integrity level needs to be equipped, and if reasonable and feasible measures exist, the measures are further taken to reduce the risks;
risk class iv, generally accepted: the mine goaf is stable, the risk can be accepted, only a monitoring and early warning system with the lowest safety integrity level needs to be configured, and other measures in the mining area are not needed;
and constructing the matching relation model between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early warning system based on the mine goaf risk acceptance criterion and by combining a mine goaf micro-seismic monitoring and early warning system safety integrity dividing method.
6. The method according to claim 5, wherein the matching relationship model specifically comprises:
when the maximum safety integrity level of the mine goaf micro-seismic monitoring and early-warning system is SIL4, the monitoring and early-warning requirements of the mine goaf at all instability risk levels are met, but along with the reduction of the instability risk level of the mine goaf, the matching degree between the instability risk level of the mine goaf and the safety integrity level of the monitoring and early-warning system is gradually reduced;
when the maximum safety integrity levels of the mine goaf microseismic monitoring and early warning system are SIL3, SIL2 and SIL1, the monitoring and early warning system respectively represents the second, third and minimum safety integrity levels, the instability risk levels of the optimally matched mine goaf are III, II and I, and III, II and I respectively represent unsafe, safer and safer;
and when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf micro-seismic monitoring and early-warning system, the mine goaf micro-seismic monitoring and early-warning system cannot meet the monitoring and early-warning requirements of the mine goaf instability risk.
7. The method according to claim 6, wherein the step S4 of calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the microseismic monitoring and early warning system, and evaluating the monitoring and early warning capability of the microseismic monitoring and early warning system of the mine goaf to be evaluated according to the matching relationship model specifically comprises the following steps:
calculating the exposed area and the span of a top plate of the mined-out area of the mine to be evaluated, and calculating the instability risk level of the mined-out area of the mine to be evaluated according to the exposed area and the span of the top plate;
determining the safety integrity level of the optimal matching monitoring and early warning system of the mine goaf to be evaluated according to the matching relation model;
respectively determining the score coefficients alpha corresponding to all influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system to be evaluated by using an index analysis method and a specific scene experimental analysis method;
calculating the total score and the evaluation score of the three subsystems according to the score coefficient alpha corresponding to each influence factor, and obtaining a safety integrity index G and a corresponding safety integrity grade of the mine goaf micro-seismic monitoring and early-warning system to be evaluated;
and comparing the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system to be evaluated with the safety integrity level of the optimal matching monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the mine goaf micro-seismic monitoring and early-warning system to be evaluated meets the requirement.
8. The utility model provides a mine collecting space area microseism monitoring and early warning system monitors evaluation device of early warning ability which characterized in that, the device includes:
the grading module is used for calculating the stability of the top plate of the mine goaf by utilizing two indexes of the exposed area of the top plate and the span of the top plate and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the top plate of the mine goaf;
the partitioning module is used for establishing a safety integrity evaluation model of the mine goaf micro-seismic monitoring and early-warning system according to the influence factors of the safety integrity of three safety-related subsystems of personnel behaviors, technical processes and operation management of the mine goaf micro-seismic monitoring and early-warning system, and partitioning the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system;
the construction module is used for constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the mine goaf micro-seismic monitoring and early-warning system according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the micro-seismic monitoring and early-warning system of the mine goaf with different instability risk levels;
and the evaluation module is used for calculating the instability risk level of the mine goaf to be evaluated and the safety integrity level of the micro-seismic monitoring and early-warning system, and evaluating the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the mine goaf to be evaluated according to the matching relation model.
9. An electronic device, comprising a processor and a memory, wherein the memory stores at least one instruction, and wherein the at least one instruction is loaded and executed by the processor to implement the method for evaluating the monitoring and warning capability of the mine goaf microseismic monitoring and warning system according to any one of claims 1-7.
10. A computer-readable storage medium having at least one instruction stored therein, wherein the at least one instruction is loaded and executed by a processor to implement the method for evaluating the monitoring and early warning capability of the mine goaf microseismic monitoring and early warning system according to any one of claims 1-7.
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