CN115826037B - Evaluation method for monitoring and early warning capability of microseism monitoring and early warning system in mine goaf - Google Patents
Evaluation method for monitoring and early warning capability of microseism monitoring and early warning system in mine goaf Download PDFInfo
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Abstract
The invention discloses a method for evaluating monitoring and early warning capability of a microseismic monitoring and early warning system of a mine goaf, which comprises the following steps: comprehensively grading the instability risk of the mine goaf by using the exposed area of the top plate and the span of the top plate; according to personnel behaviors, technical processes and operation influence factors of safety integrity of three safety-related subsystems of the microseismic monitoring and early warning system, a safety integrity assessment model of the system is established, and safety integrity levels of the system are divided; according to the lowest reasonable and feasible criterion, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system; and calculating the instability risk level of the goaf of the mine 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 to be evaluated according to the matching relation model. By adopting the invention, the monitoring and early warning capability of the microseismic monitoring system can be accurately evaluated.
Description
Technical Field
The invention relates to the technical field of evaluation of microseismic monitoring and early warning systems, in particular to an evaluation method for monitoring and early warning capability of a microseismic monitoring and early warning system in a mine goaf.
Background
The microseismic monitoring and early warning system is widely applied to the monitoring and early warning work of the ground pressure activity of the domestic mine goaf, but whether the monitoring and early warning capability of the microseismic monitoring and early warning system meets the requirements or not is judged, and due to the uneven level of the related technology, no effective evaluation method exists at present, and special evaluation standards and regulations are not formed, so that a plurality of difficulties are brought to the evaluation work of the microseismic monitoring and early warning system of the mine goaf.
Disclosure of Invention
The invention provides a method for evaluating the monitoring and early warning capability of a micro-seismic monitoring and early warning system in a mine goaf, which is used for evaluating the monitoring and early warning capability of the micro-seismic monitoring and early warning system in the mine goaf. The technical scheme is as follows:
on the one hand, an evaluation method for monitoring and early warning capability of a mine goaf microseism monitoring and early warning system is provided, and the method comprises the following steps:
s1, calculating the stability of a roof of a mine goaf by using two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
S2, establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of three safety related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic monitoring and early warning system;
s3, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
and S4, calculating the instability risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model.
Optionally, the calculating the stability of the roof of the goaf of the mine by using the two indexes of the exposed area of the roof and the span of the roof in S1 and comprehensively grading the instability risk of the goaf of the mine according to the grading standard of the stability of the roof of the goaf of the mine specifically comprises:
Calculating Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing a roof exposed area with the hydraulic radius;
according to the calculation result of the exposed area of the top plate, referring to the goaf grading standard in the research report of large and medium-sized goafs of the metal nonmetal mine issued by the national security production administration, and formulating the stability grading standard of the exposed area of the top plate of the mine goafs according to engineering experience;
performing first classification on the instability risk of the mine goaf according to the formulated stability classification standard of the exposed area of the roof of the mine goaf;
the roof span D has the following relation with the rock mass Q: d=2×esr×q 0.4 ESR is the support ratio of the excavated body;
according to the Q value of the reference rock mass and the rock mass quality evaluation, selecting the ESR value according to engineering experience, and calculating to obtain the roof span value;
according to the actual condition of the roof of the mine goaf, referring to the rock mass Q value and rock mass quality evaluation, determining the stability grading standard of the roof span;
performing second classification on the instability risk of the mine goaf according to the formulated stability classification standard of the roof span of the mine goaf;
And when the two indexes are comprehensively classified, the safety of the first classification and the second classification is lower, and the safety is used as the instability risk level of the mine goaf.
Optionally, the step S2 is to establish a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of the three safety related subsystems managed by the personnel behavior, the technical process and the operation of the mine goaf microseismic monitoring and early warning system, and divide the safety integrity level of the mine goaf microseismic monitoring and early warning system, and specifically includes:
total score S for personnel action safety related subsystem r The definition is as follows:
total score S of technical process safety-related subsystem j The definition is as follows:
total score S of job management safety related subsystem z The definition is as follows:
wherein s is ri Assigning points to each influencing factor of the safety integrity of the personnel behavior safety related subsystem; s is(s) ji Assigning a score to each influencing factor of the safety integrity of the technical process safety-related subsystem; s is(s) zi To be used asAssigning points to each influencing factor of the safety integrity of the industry management safety-related subsystem; alpha is a scoring coefficient corresponding to each influencing factor, and is divided into three coefficients of 1, 2 and 3 according to the best practice method, wherein the three coefficients correspond to each other: unsatisfied, basically satisfied, the satisfaction is all that meets the design requirement; the basic satisfaction is that the basic function can be realized, but not all the basic satisfaction meets the design requirement; the unsatisfied is that the basic function cannot be realized;
The evaluation scores of the personnel behavior safety-related subsystem are as follows:
the evaluation scores of the technical process safety related subsystems are as follows:
the evaluation scores of the job management security related subsystem are:
according to the evaluation scores of three safety related subsystems managed by personnel behaviors, technical processes and operations, determining the safety integrity level of the corresponding subsystem, and giving out corresponding index assignment which is respectively 1,2,3 and 4;
synthesizing the evaluation results of the three safety-related subsystems, synthesizing safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system:
T＝g(T r ，T j ，T z ) (equation 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree 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：
Simplifying the formula to obtain the safety integrity index G of the mine goaf microseism monitoring and early warning system:
wherein t is r (r＝1,2,3,4),t j (j＝1,2,3,4),t z (z=1, 2,3, 4) respectively assigning an index of safety integrity of the personnel action safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem;
and according to the safety integrity level evaluation model and each index assignment of the mine goaf microseism monitoring and early warning system, combining with the research report of large and medium-sized goafs of a metal nonmetal mine, classifying the safety integrity level of the mine goaf microseism monitoring and early warning system into 4 levels.
Optionally, the safety integrity grade of the mine goaf microseismic monitoring and early warning system is classified into 4 grades, which specifically comprises:
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 stronger;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, which indicates that 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 weaker.
Optionally, the step S3 is to construct a matching relation model between the destabilizing risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system according to the lowest reasonable and feasible ALARP criterion, and determine the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different destabilizing risk levels, which specifically includes:
based on the ALARP criterion, dividing the mine goaf risk acceptable criterion into:
risk class I, unacceptable: the mine goaf has the potential of caving and unacceptable risk, a microseismic monitoring and early warning system with the highest safety integrity level is required to be equipped, and effective measures are taken to eliminate or control the risk;
Risk class II, unexpected: the mine goaf is unstable, risk is not expected, a microseismic monitoring and early warning system with the second highest safety integrity level is required to be provided, and under the conditions of technology, economy and rationality, measures are further taken to reduce the risk to an acceptable level;
risk class iii, tolerable: the mine goaf is stable and the risk is tolerable, a microseismic monitoring and early warning system with the third highest safety integrity level is required to be provided, and if reasonable and feasible measures are provided, measures are further taken to reduce the risk;
risk class iv, universally acceptable: the mine goaf is stable, the risk is acceptable, and only a monitoring and early warning system with the lowest safety integrity level is required to be configured, so that other measures of the mining area are not required;
based on the mine goaf risk acceptable criterion and in combination with a method for dividing the safety integrity of a mine goaf microseismic monitoring and early warning system, 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.
Optionally, the matching relation model specifically includes:
when the highest safety integrity level of the microseismic monitoring and early warning system of the mine goaf is SIL4, the monitoring and early warning requirements of all the unstability risk levels of the mine goaf are met, but the matching degree between the unstability risk level of the mine goaf and the safety integrity level of the monitoring and early warning system is gradually reduced along with the reduction of the unstability risk level of the mine goaf;
When the highest safety integrity levels of the mine goaf microseismic monitoring and early warning system are SIL3, SIL2 and SIL1, respectively representing the monitoring and early warning systems of the second, third and lowest safety integrity levels, the optimally matched mine goaf instability risk levels are III, II and I, wherein III, II and I respectively represent safer, safer and safer;
when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf microseism monitoring and early warning system, the mine goaf microseism monitoring and early warning system cannot meet the monitoring and early warning requirements of the mine goaf instability risk.
Optionally, the step S4 of calculating the destabilizing risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model specifically includes:
calculating the roof exposure area and roof span of the goaf of the mine to be evaluated, and calculating the instability risk level of the goaf of the mine to be evaluated according to the roof exposure area and the roof 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 scoring coefficients alpha corresponding to all influencing factors of safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of a microseismic monitoring and early warning system of a mine goaf to be evaluated by using an index analysis method and a specific scene experiment analysis method;
calculating total scores and evaluation scores of the three subsystems according to score coefficients alpha corresponding to all influence factors, and obtaining a safety integrity index G and a corresponding safety integrity grade of a microearthquake monitoring and early warning system of the mine goaf to be evaluated;
and comparing the safety integrity level of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated with the safety integrity level of the optimally matched monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated meets the requirement.
On the other hand, an evaluation device for monitoring and early warning capability of a mine goaf microseism monitoring and early warning system is provided, and the device comprises:
the grading module is used for calculating the stability of the roof of the mine goaf by utilizing two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
The division module is used for establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the personnel behaviors, the technical process and the operation management influence factors of the safety integrity of the three safety related subsystems of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic 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 microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
the evaluation module is used for calculating the instability risk level of the goaf of the mine 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 goaf of the mine 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 microseism monitoring and early warning system.
In another aspect, a computer readable storage medium is provided, and at least one instruction is stored in the storage medium, and is loaded and executed by a processor to implement the method for evaluating the monitoring and early warning capability of the mine goaf microseism 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 microseismic monitoring and early warning system in the mine goaf can be accurately evaluated, the mine enterprises can select the microseismic monitoring and early warning system with optimal economic technology, and the safety management level of the mine is remarkably improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an evaluation method for monitoring and early warning capability of a microseismic monitoring and early warning system in a mine goaf, which is 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 microseismic monitoring and early warning system in a mine goaf, which is provided by the 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 to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the embodiment of the invention provides a method for evaluating the monitoring and early warning capability of a microseismic monitoring and early warning system in a mine goaf, which comprises the following steps:
s1, calculating the stability of a roof of a mine goaf by using two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
s2, establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of three safety related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic monitoring and early warning system;
S3, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
and S4, calculating the instability risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model.
The method for evaluating the monitoring and early warning capability of the microseismic monitoring and early warning system in the mine goaf in the embodiment of the invention is described in detail below, and comprises the following steps:
s1, calculating the stability of a roof of a mine goaf by using two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
optionally, the calculating the stability of the roof of the goaf of the mine by using the two indexes of the exposed area of the roof and the span of the roof in S1 and comprehensively grading the instability risk of the goaf of the mine according to the grading standard of the stability of the roof of the goaf of the mine specifically comprises:
Calculating Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing a roof exposed area with the hydraulic radius;
because hydraulic radius can be expressed in terms of the ratio of the surface area divided by the perimeter of the exposed surface, hydraulic radius is often used to characterize the exposed area of the roof.
According to the calculation result of the exposed area of the top plate, referring to the goaf grading standard in the research report of large and medium-sized goafs of the metal nonmetal mine issued by the national security production administration, and formulating the stability grading standard of the exposed area of the top plate of the mine goafs according to engineering experience;
performing first classification on the instability risk of the mine goaf according to the formulated stability classification standard of the exposed area of the roof of the mine goaf;
the roof span D has the following relation with the rock mass Q: d=2×esr×q 0.4 ESR is the support ratio of the excavated body;
according to the Q value of the reference rock mass and the rock mass quality evaluation, selecting the ESR value according to engineering experience, and calculating to obtain the roof span value;
according to the actual condition of the roof of the mine goaf, referring to the rock mass Q value and rock mass quality evaluation, determining the stability grading standard of the roof span;
Performing second classification on the instability risk of the mine goaf according to the formulated stability classification standard of the roof span of the mine goaf;
and when the two indexes are comprehensively classified, the safety of the first classification and the second classification is lower, and the safety is used as the instability risk level of the mine goaf.
S2, establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of three safety related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic monitoring and early warning system;
optionally, the step S2 is to establish a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of the three safety related subsystems managed by the personnel behavior, the technical process and the operation of the mine goaf microseismic monitoring and early warning system, and divide the safety integrity level of the mine goaf microseismic monitoring and early warning system, and specifically includes:
the safety integrity of personnel action safety-related subsystems may be graded using the Human Factor Assessment Method (HFAM) recommended by the british health and safety enforcement agency (HSE), in combination with best practice methods, which are a regulatory concept, which is believed to exist in a technology, method, process, activity or mechanism that may optimize the outcome of production or management practices and reduce the likelihood of errors, the grading process specifically comprising:
Total score S for personnel action safety related subsystem r The definition is as follows:
total score S of technical process safety-related subsystem j The definition is as follows:
total score S of job management safety related subsystem z The definition is as follows:
wherein s is ri The safety integrity of the personnel behavior safety-related subsystem is assigned to each influencing factor, as shown in Table 1, wherein the physiological, psychological and professional skills are classified into categories, each category comprising the following influencing factors s ji Assigning a score to each influencing factor of the safety integrity of the technical process safety-related subsystem, as shown in table 2, wherein the design, construction and operation are classified into each category comprising each influencing factor below the technical process safety-related subsystem; s is(s) zi Assigning a score to each influencing factor of the safety integrity of the job management safety-related subsystem, as shown in table 3, wherein the organization management, the system specification and the daily management are classified into each category comprising each influencing factor below the organization management, the system specification and the daily management; alpha is the score coefficient corresponding to each influence factor, and the best practice method is combinedAlpha is divided into three coefficients of 1, 2 and 3, which correspond to: unsatisfied, basically satisfied, the satisfaction is all that meets the design requirement; the basic satisfaction is that the basic function can be realized, but not all the basic satisfaction meets the design requirement; the unsatisfied is that the basic function cannot be realized;
TABLE 1 assignment of factors affecting safety integrity of personnel behavior safety related subsystems
TABLE 2 assignment of factors affecting safety integrity of technical process safety related subsystems
TABLE 3 assignment of factors affecting safety integrity of job management safety-related subsystem
The evaluation scores of the personnel behavior safety-related subsystem are as follows:
the evaluation scores of the technical process safety related subsystems are as follows:
the evaluation scores of the job management security related subsystem are:
according to the evaluation scores of three safety related subsystems managed by personnel behaviors, technical processes and operations, determining the safety integrity level of the corresponding subsystem, and giving out corresponding index assignment, wherein the index assignment is respectively 1, 2, 3 and 4, as shown in table 4, and the segmentation interval of the evaluation score in the embodiment of the invention is obtained by referring to a human factor evaluation method.
Table 4 security integrity hierarchy for three security-related subsystems
Synthesizing the evaluation results of the three safety-related subsystems, synthesizing safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system:
T＝g(T r ，T j ，T z ) (equation 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree 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:
Simplifying the formula to obtain the safety integrity index G of the mine goaf microseism monitoring and early warning system:
wherein t is r (r＝1,2,3,4),t j (j＝1,2,3,4),t z (z=1, 2,3, 4) respectively assigning an index of safety integrity of the personnel action safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem;
and according to the safety integrity level evaluation model and each index assignment of the mine goaf microseism monitoring and early warning system, combining with the research report of large and medium-sized goafs of a metal nonmetal mine, classifying the safety integrity level of the mine goaf microseism monitoring and early warning system into 4 levels, as shown in table 5.
Table 5 safety integrity level of microseismic monitoring and early warning system for mine goaf
Optionally, the safety integrity grade of the mine goaf microseismic monitoring and early warning system is classified into 4 grades, which specifically comprises:
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 stronger;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, which indicates that 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 weaker.
The higher the safety integrity level of the mine goaf microseismic monitoring and early warning system, namely the larger the SIL value, the stronger the capability of the mine goaf microseismic monitoring and early warning system related safety system for realizing goaf monitoring and early warning functions in specific time and state. The optimal matching of the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf is the optimal choice for realizing safe production and economy and rationality.
S3, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
the lowest reasonably viable (As Low As Reasonable Practical, ALARP) criterion, also known as the rationale for being as low as possible, is based on the idea of classifying risks into three classes, the lower risk being associated with economic benefits, the three risk classes representing "unacceptable", "acceptable" and "widely acceptable" risks, respectively.
The embodiment of the invention divides the mine goaf risk acceptable criterion into:
risk class I, unacceptable: the mine goaf has the potential of caving and unacceptable risk, a microseismic monitoring and early warning system with the highest safety integrity level is required to be equipped, and effective measures are taken to eliminate or control the risk;
risk class II, unexpected: the mine goaf is unstable, risk is not expected, a microseismic monitoring and early warning system with the second highest safety integrity level is required to be provided, and under the conditions of technology, economy and rationality, measures are further taken to reduce the risk to an acceptable level;
risk class iii, tolerable: the mine goaf is stable and the risk is tolerable, a microseismic monitoring and early warning system with the third highest safety integrity level is required to be provided, and if reasonable and feasible measures are provided, measures are further taken to reduce the risk;
risk class iv, universally acceptable: the mine goaf is stable, the risk is acceptable, and only a monitoring and early warning system with the lowest safety integrity level is required to be configured, so that other measures of the mining area are not required;
based on the mine goaf risk acceptable criterion and in combination with a method for dividing the safety integrity of a mine goaf microseismic monitoring and early warning system, 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, as shown in table 6.
Table 6 matching relation model of instability risk level and safety integrity level of microseismic monitoring and early warning system of mine goaf
Optionally, the matching relation model specifically includes:
when the highest safety integrity level of the microseismic monitoring and early warning system of the mine goaf is SIL4, the monitoring and early warning requirements of all the unstability risk levels of the mine goaf are met, but the matching degree between the unstability risk level of the mine goaf and the safety integrity level of the monitoring and early warning system is gradually reduced along with the reduction of the unstability risk level of the mine goaf;
when the highest safety integrity levels of the mine goaf microseismic monitoring and early warning system are SIL3, SIL2 and SIL1, respectively representing the monitoring and early warning systems of the second, third and lowest safety integrity levels, the optimally matched mine goaf instability risk levels are III, II and I, wherein III, II and I respectively represent safer, safer and safer;
when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf microseism monitoring and early warning system, the mine goaf microseism 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 goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model.
Optionally, the step S4 of calculating the destabilizing risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model specifically includes:
calculating the roof exposure area and roof span of the goaf of the mine to be evaluated, and calculating the instability risk level of the goaf of the mine to be evaluated according to the roof exposure area and the roof 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 scoring coefficients alpha corresponding to all influencing factors of safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of a microseismic monitoring and early warning system of a mine goaf to be evaluated by using an index analysis method and a specific scene experiment analysis method;
The index analysis method is to perform corresponding analysis according to the actual conditions of the indexes. For example, for the sensor arrangement index in each influencing factor of the safety integrity of the technical process safety related subsystem, analyzing the enveloping effect of the goaf according to the effective detection range of the sensor, and obtaining a scoring coefficient alpha corresponding to the influencing factor;
and then, performing scene simulation analysis on a microseismic monitoring and early warning system under the scene of heavy rain and rock stratum fracture, and correcting a scoring coefficient alpha corresponding to each influence factor.
Calculating total scores and evaluation scores of the three subsystems according to score coefficients alpha corresponding to all influence factors, and obtaining a safety integrity index G and a corresponding safety integrity grade of a microearthquake monitoring and early warning system of the mine goaf to be evaluated;
and comparing the safety integrity level of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated with the safety integrity level of the optimally matched monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated meets the requirement.
The embodiment of the invention takes a microseismic monitoring and early warning system of a goaf of an inner Mongolia mine as an example, and the mine has 10 goafs in total.
According to the calculation result of the exposed area of the top plate, and referring to the goaf grading standard in the research report of large and medium-sized goafs of the metal nonmetal mine, the stability grading standard of the exposed area of the top plate of the mine goafs is formulated according to engineering experience;
according to the most unfavorable condition of the roof of the mining area, the embodiment of the invention considers the stability calculation result of the roof as limestone as a reference and determines the stability grading standard of the exposed area of the roof of the mining goaf, as shown in table 7.
Table 7 stability grading criteria for roof exposed area of mine goaf
For the selection of the safety grading standard of the roof span, according to the actual condition of the roof of the mine goaf, the embodiment of the invention refers to the rock mass Q value and the rock mass quality evaluation, and the ESR values are respectively 1.6, 2.0 and 3.0 to be respectively calculated according to engineering experience. Since the conditions of a large number of goaf roof rock masses are uncertain, roof tailings are recycled in the later stage, and finally the rock strata of the roof is exposed to be marble, the embodiment of the invention calculates the maximum support-free span of the roof by taking the roof as marble and based on the result of Q system rock mass classification according to the most unfavorable condition of the roof, thereby determining the safety classification standard of the roof span, as shown in Table 8.
Table 8 stability rating criteria for roof span
The stability classification standards of roof exposed areas and roof spans established according to the embodiments of the present invention comprehensively classify the stability of goaf roof, and the results are shown in table 9.
Table 9 risk classification of instability of mine goaf roof
Statistics of the evaluation results in table 9 show that the goaf of class iii and below in the embodiment of the present invention accounts for 90% of the total goaf, and the goaf of class iv (unsafe) accounts for 10% of the total goaf.
And determining the optimal matching microseismic monitoring and early warning system safety integrity level of the mine goaf with different instability risk levels 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 microseismic monitoring and early warning system, as shown in table 10.
Table 10 optimal matching microseismic monitoring and early warning system safety integrity level of different mine goafs
Respectively determining scoring coefficients alpha corresponding to all influencing factors of safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of a microseismic monitoring and early warning system of a mine goaf 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, performing scene simulation analysis on a microseismic monitoring and early warning system under the scene of heavy rain and rock stratum fracture, and correcting a scoring coefficient alpha corresponding to each influencing factor;
and calculating total scores of the three subsystems according to the score coefficient alpha corresponding to each corrected influence factor, and calculating to obtain evaluation scores of the three subsystems of 84%, 87% and 93% respectively, so as to obtain a safety integrity index G of the microearthquake monitoring and early warning system of the mine goaf to be evaluated and a corresponding safety integrity grade SIL3.
The safety integrity level of the microseismic monitoring and early warning system of the mine goaf to be evaluated is compared with the optimally matched safety integrity level of the goafs 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 all other goafs except the goafs No. 1 on the ground pressure activities 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 microseismic monitoring and early warning system, the mine needs to increase the treatment strength of the No. 1 goaf, and the requirement of the No. 1 goaf on the safety integrity of the goaf microseismic monitoring and early warning system is reduced. In addition, the mine enterprises can also select measures such as monitoring sensors with more advanced performances by increasing the density of the monitoring sensors near the high-risk goaf, and the monitoring and early warning capacity of the conventional goaf microseism monitoring and early warning system is improved.
As shown in fig. 2, the embodiment of the invention further provides an evaluation device for monitoring and early warning capability of a microseismic monitoring and early warning system in a mine goaf, where the device comprises:
the grading module 210 is configured to calculate a roof stability of the mine goaf by using two indexes of a roof exposed area and a roof span, and comprehensively grade a instability risk of the mine goaf according to a mine goaf roof stability grading standard;
the division module 220 is configured to establish a safety integrity assessment model of the mine goaf microseismic monitoring and early warning system according to factors affecting safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, and divide the safety integrity level of the mine goaf microseismic monitoring and early warning system;
the construction module 230 is configured to construct a matching relationship model between the destabilizing risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determine the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different destabilizing risk levels;
And the evaluation module 240 is configured to calculate a destabilizing risk level of the goaf of the mine to be evaluated and a safety integrity level of the microseismic monitoring and early warning system, and evaluate the monitoring and early warning capability of the microseismic monitoring and early warning system of the goaf of the mine 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 micro-earthquake monitoring and early warning system in the mine goaf provided by the embodiment of the invention corresponds to the evaluation method for the monitoring and early warning capability of the micro-earthquake monitoring and early warning system in the mine goaf provided by the embodiment of the invention, and is 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 have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 301 and one or more memories 302, where at least one instruction is stored in the memories 302, and the at least one instruction is loaded and executed by the processors 301 to implement the steps of the method for evaluating the monitoring and early warning capability of the mine goaf microseism monitoring and early warning system.
In an exemplary embodiment, a computer readable storage medium, such as a memory including instructions executable by a processor in a terminal to perform the method of evaluating the monitoring and early warning capability of the mine goaf microseismic monitoring and early warning system is also provided. For example, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
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 for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (9)
1. The method for evaluating the monitoring and early warning capability of the microseismic monitoring and early warning system of the mine goaf is characterized by comprising the following steps:
s1, calculating the stability of a roof of a mine goaf by using two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
s2, establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the influence factors of the safety integrity of three safety related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic monitoring and early warning system;
S3, constructing a matching relation model between the instability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
s4, calculating the instability risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model;
s2, according to the influence factors of the safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of the mine goaf microseismic monitoring and early warning system, establishing a safety integrity assessment model of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic monitoring and early warning system, wherein the method specifically comprises the following steps:
total score S for personnel action safety related subsystem r The definition is as follows:
total score S of technical process safety-related subsystem j The definition is as follows:
total score S of job management safety related subsystem z The definition is as follows:
wherein s is ri Assigning points to each influencing factor of the safety integrity of the personnel behavior safety related subsystem; s is(s) ji Assigning a score to each influencing factor of the safety integrity of the technical process safety-related subsystem; s is(s) zi Assigning points to each influencing factor of the safety integrity of the operation management safety-related subsystem; alpha is a scoring coefficient corresponding to each influencing factor, and is divided into three coefficients of 1, 2 and 3 according to the best practice method, wherein the three coefficients correspond to each other: unsatisfied, basically satisfied, the satisfaction is all that meets the design requirement; the basic satisfaction is that the basic function can be realized, but not all the basic satisfaction meets the design requirement; the unsatisfied is that the basic function cannot be realized;
the evaluation scores of the personnel behavior safety-related subsystem are as follows:
the evaluation scores of the technical process safety related subsystems are as follows:
the evaluation scores of the job management security related subsystem are:
according to the evaluation scores of three safety related subsystems managed by personnel behaviors, technical processes and operations, determining the safety integrity level of the corresponding subsystem, and giving out corresponding index assignment which is respectively 1, 2, 3 and 4;
synthesizing the evaluation results of the three safety-related subsystems, synthesizing safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system:
T＝g(T r ,T j ,T z ) (equation 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree 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:
simplifying the formula to obtain the safety integrity index G of the mine goaf microseism monitoring and early warning system:
wherein t is r 、t j 、t z Respectively assigning indexes of safety integrality of the personnel behavior safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem, wherein r=1, 2,3 and 4; j=1, 2,3,4; z=1, 2,3,4;
and classifying the safety integrity grade of the mine goaf microseismic monitoring and early warning system into 4 grades according to the safety integrity level evaluation model and each index assignment of the mine goaf microseismic monitoring and early warning system.
2. The method of claim 1, wherein the calculating the roof stability of the mine goaf by using the two indexes of the roof exposed area and the roof span in S1 and comprehensively grading the instability risk of the mine goaf according to the grading standard of the roof stability of the mine goaf specifically comprises:
calculating Mathews stability coefficient, and then determining the hydraulic radius according to the correlation between the Mathews stability coefficient and the hydraulic radius; characterizing a roof exposed area with the hydraulic radius;
According to the calculation result of the roof exposed area, referring to the goaf grading standard, and formulating a stability grading standard of the mine goaf roof exposed area according to engineering experience;
performing first classification on the instability risk of the mine goaf according to the formulated stability classification standard of the exposed area of the roof of the mine goaf;
the roof span D has the following relation with the rock mass Q: d=2×esr×q 0.4 ESR is the support ratio of the excavated body;
according to the Q value of the reference rock mass and the rock mass quality evaluation, selecting the ESR value according to engineering experience, and calculating to obtain the roof span value;
according to the actual condition of the roof of the mine goaf, referring to the rock mass Q value and rock mass quality evaluation, determining the stability grading standard of the roof span;
performing second classification on the instability risk of the mine goaf according to the formulated stability classification standard of the roof span of the mine goaf;
and when the two indexes are comprehensively classified, the safety of the first classification and the second classification is lower, and the safety is used as the instability risk level of the mine goaf.
3. The method according to claim 1, wherein the mine goaf microseismic monitoring and early warning system has a safety integrity class of 4 classes, 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 stronger;
when the safety integrity index G is [4.0,5.5 ], the safety integrity grade is SIL2, which indicates that 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 weaker.
4. The method of claim 3, wherein the step of constructing a matching relationship model between the destabilizing risk level of the mine goaf and the safety integrity level of the mine goaf microseismic monitoring and early warning system according to the lowest reasonable and feasible ALARP criterion in the step of S3, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different destabilizing risk levels specifically comprises:
based on the ALARP criterion, dividing the mine goaf risk acceptable criterion into:
risk class I, unacceptable: the mine goaf has the potential of caving and unacceptable risk, a microseismic monitoring and early warning system with the highest safety integrity level is required to be equipped, and effective measures are taken to eliminate or control the risk;
Risk class II, unexpected: the mine goaf is unstable, risk is not expected, a microseismic monitoring and early warning system with the second highest safety integrity level is required to be provided, and under the conditions of technology, economy and rationality, measures are further taken to reduce the risk to an acceptable level;
risk class III, tolerable: the mine goaf is stable and the risk is tolerable, a microseismic monitoring and early warning system with the third highest safety integrity level is required to be provided, and if reasonable and feasible measures are provided, measures are further taken to reduce the risk;
risk class iv, universally acceptable: the mine goaf is stable, the risk is acceptable, and only a monitoring and early warning system with the lowest safety integrity level is required to be configured, so that other measures of the mining area are not required;
based on the mine goaf risk acceptable criterion and in combination with a method for dividing the safety integrity of a mine goaf microseismic monitoring and early warning system, 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.
5. The method according to claim 4, wherein the matching relationship model specifically comprises:
when the highest safety integrity level of the microseismic monitoring and early warning system of the mine goaf is SIL4, the monitoring and early warning requirements of all the unstability risk levels of the mine goaf are met, but the matching degree between the unstability risk level of the mine goaf and the safety integrity level of the microseismic monitoring and early warning system is gradually reduced along with the reduction of the unstability risk level of the mine goaf;
When the highest safety integrity grades of the microseismic monitoring and early warning system of the mine goaf are SIL3, SIL2 and SIL1, respectively representing the microseismic monitoring and early warning systems of the second, third and lowest safety integrity grades, the optimally matched mine goaf instability risk grades are III, II and I, wherein the III, II and I respectively represent safer, safer and safer;
when the mine goaf instability risk level is higher than the goaf instability risk level optimally matched with the mine goaf microseism monitoring and early warning system, the mine goaf microseism monitoring and early warning system cannot meet the monitoring and early warning requirements of the mine goaf instability risk.
6. The method according to claim 5, wherein the calculating the instability risk level of the goaf of the mine to be evaluated and the safety integrity level of the microseismic monitoring and early warning system in S4 evaluates the monitoring and early warning capability of the microseismic monitoring and early warning system of the goaf of the mine to be evaluated according to the matching relation model, specifically includes:
calculating the roof exposure area and roof span of the goaf of the mine to be evaluated, and calculating the instability risk level of the goaf of the mine to be evaluated according to the roof exposure area and the roof span;
Determining the safety integrity level of the optimally matched microseismic monitoring and early warning system of the mine goaf to be evaluated according to the matching relation model;
respectively determining scoring coefficients alpha corresponding to all influencing factors of safety integrity of three safety-related subsystems of personnel behavior, technical process and operation management of a microseismic monitoring and early warning system of a mine goaf to be evaluated by using an index analysis method and a specific scene experiment analysis method;
calculating total scores and evaluation scores of the three subsystems according to score coefficients alpha corresponding to all influence factors, and obtaining a safety integrity index G and a corresponding safety integrity grade of a microearthquake monitoring and early warning system of the mine goaf to be evaluated;
and comparing the safety integrity level of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated with the safety integrity level of the optimally matched micro-seismic monitoring and early-warning system, and evaluating whether the monitoring and early-warning capability of the micro-seismic monitoring and early-warning system of the goaf of the mine to be evaluated meets the requirement.
7. An evaluation device for monitoring and early warning capability of a microseismic monitoring and early warning system of a mine goaf, which is characterized by comprising:
the grading module is used for calculating the stability of the roof of the mine goaf by utilizing two indexes of the exposed area of the roof and the span of the roof, and comprehensively grading the instability risk of the mine goaf according to the grading standard of the stability of the roof of the mine goaf;
The division module is used for establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system according to the personnel behaviors, the technical process and the operation management influence factors of the safety integrity of the three safety related subsystems of the mine goaf microseismic monitoring and early warning system, and dividing the safety integrity level of the mine goaf microseismic 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 microseismic monitoring and early warning system of the mine goaf according to the lowest reasonable and feasible ALARP criterion, and determining the safety integrity requirements of the microseismic monitoring and early warning systems of the mine goafs with different instability risk levels;
the evaluation module is used for calculating the instability risk level of the goaf of the mine 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 goaf of the mine to be evaluated according to the matching relation model;
the dividing module is specifically configured to:
total score S for personnel action safety related subsystem r The definition is as follows:
total score S of technical process safety-related subsystem j The definition is as follows:
total score S of job management safety related subsystem z The definition is as follows:
wherein s is ri Assigning points to each influencing factor of the safety integrity of the personnel behavior safety related subsystem; s is(s) ji Assigning a score to each influencing factor of the safety integrity of the technical process safety-related subsystem; s is(s) zi Assigning points to each influencing factor of the safety integrity of the operation management safety-related subsystem; alpha is a scoring coefficient corresponding to each influencing factor, and is divided into three coefficients of 1, 2 and 3 according to the best practice method, wherein the three coefficients correspond to each other: unsatisfied, basically satisfied, the satisfaction is all that meets the design requirement; the basic satisfaction-based functions may be implemented,but not all of them meet the design requirements; the unsatisfied is that the basic function cannot be realized;
the evaluation scores of the personnel behavior safety-related subsystem are as follows:
the evaluation scores of the technical process safety related subsystems are as follows:
the evaluation scores of the job management security related subsystem are:
according to the evaluation scores of three safety related subsystems managed by personnel behaviors, technical processes and operations, determining the safety integrity level of the corresponding subsystem, and giving out corresponding index assignment which is respectively 1, 2, 3 and 4;
Synthesizing the evaluation results of the three safety-related subsystems, synthesizing safety integrity indexes of the three safety-related subsystems, and establishing a safety integrity evaluation model of the mine goaf microseismic monitoring and early warning system:
T＝g(T r ,T j ,T z ) (equation 7)
T r 、T j 、T z The larger the value is, the larger the deviation degree 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:
simplifying the formula to obtain the safety integrity index G of the mine goaf microseism monitoring and early warning system:
wherein t is r 、t j 、t z Respectively assigning indexes of safety integrality of the personnel behavior safety related subsystem, the technical process safety related subsystem and the operation management safety related subsystem, wherein r=1, 2,3 and 4; j=1, 2,3,4; z=1, 2,3,4;
and classifying the safety integrity grade of the mine goaf microseismic monitoring and early warning system into 4 grades according to the safety integrity level evaluation model and each index assignment of the mine goaf microseismic monitoring and early warning system.
8. An electronic device comprising a processor and a memory, wherein the memory stores at least one instruction, wherein the at least one instruction is loaded and executed by the 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 to 6.
9. A computer readable storage medium having stored therein at least one instruction, wherein the at least one instruction is loaded and executed by a processor to implement a method of evaluating the monitoring and early warning capability of a mine goaf microseismic monitoring and early warning system according to any one of claims 1 to 6.
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