Quantitative evaluation method for disaster risk caused by linkage instability of coal pillar rock stratum left by multi-coal seam mining

Abstract

The application relates to the technical field of risk evaluation, in particular to a quantitative evaluation method for risk caused by linkage damage and instability of a left coal pillar and rock stratum in multi-coal seam mining, wherein the method comprises the following steps: obtaining evaluation indexes of linkage damage and instability of the left coal pillar and the rock stratum in the multi-coal seam mining; calculating a weight matrix of the evaluation indexes according to each evaluation index and a grading threshold of each risk grade corresponding to each evaluation index; and calculating a fuzzy relation matrix of the evaluation indexes according to the degree of membership of the linkage damage and instability of the left coal pillar and the rock stratum; performing fuzzy operation according to the fuzzy relation matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, performing normalization processing on the fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determining the actual risk grade of the linkage damage and instability of the left coal pillar and the rock stratum by using the fuzzy clustering matrix. Thus, the problems of low credibility of evaluation results and the like caused by the fact that only the evaluation and monitoring of a certain area of the coal pillar or the rock stratum can be realized in the related art are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of risk assessment, in particular to a quantitative evaluation method for risk caused by linkage damage and instability of coal pillars and rock strata left by multi-coal seam mining. BACKGROUND

[0002] Although multi-coal seam mining provides a large amount of coal resources, a large number of coal pillars are left during mining. With the passage of time, the left coal pillars are continuously eroded by underground water, corrosive chemicals and physical weathering, and the functions of the coal pillars are continuously degraded, and the strength of the coal pillars is continuously degraded. If part of the coal pillars are damaged and unstable, it will affect the adjacent coal pillars and cause a "domino effect". The instability of the coal pillars induces the linkage instability of the rock strata, causing large-area collapse of the goaf, triggering mine earthquakes and other mining pressure phenomena, which causes damage to buildings, farmland, water sources and railway lines above the goaf, and does not conform to the concept of safe, green and efficient mining.

[0003] The evaluation and monitoring technology commonly used in related technologies for mining pressure phenomena caused by instability of coal pillars left by multi-coal seam mining includes microseismic monitoring, electromagnetic radiation monitoring, stress online monitoring and drill cuttings monitoring. However, the evaluation and monitoring technology in related technologies can only realize evaluation and monitoring of a certain area of the coal pillars or the rock strata, and most of the evaluation results are qualitative, and cannot realize comprehensive quantitative evaluation of the linkage instability of the left coal pillars and the rock strata. Moreover, the evaluation of the linkage instability of the left coal pillars and the rock strata during multi-coal seam mining is a systematic project, which not only involves the evaluation of the roof rock strata of the coal seam, but also the stability of the overlying coal seam left coal pillars and its roof has an important influence on the mining of the working face of the coal seam. SUMMARY

[0004] The present application provides a quantitative evaluation method, device, electronic equipment and storage medium for risk caused by linkage damage and instability of coal pillars and rock strata left by multi-coal seam mining, to solve the problems in related technologies that only realize evaluation and monitoring of a certain area of the coal pillars or the rock strata, and the evaluation results have low reliability.

[0005] The first aspect embodiment of the present application provides a quantitative evaluation method for risk caused by linkage damage and instability of coal pillars and rock strata left by multi-coal seam mining, comprising the following steps: obtaining one or more evaluation indexes of the linkage instability of the coal pillars and the rock strata left by multi-coal seam mining; calculating a weight matrix of the evaluation indexes according to each evaluation index and a classification threshold value of each risk grade corresponding to each evaluation index, and calculating a fuzzy relationship matrix of the evaluation indexes according to the degree of membership of the linkage instability of the left coal pillars and the rock strata; performing fuzzy operation according to the fuzzy relationship matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, performing normalization processing on the obtained fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determining the actual risk grade of the linkage instability of the coal pillars and the rock strata left by multi-coal seam mining by using the fuzzy clustering matrix.

[0006] Optionally, in one embodiment of the present application, the evaluation indexes include one or more of microseismic energy, residual coal pillar damage degree, and fracture development height, wherein the microseismic energy is used to reflect the damage degree of the carrier and the bearing body, the residual coal pillar damage degree is used to reflect the damage degree of the load transmission medium, and the fracture development height is used to reflect the damage degree of the overburden rock caused by the linkage instability of the coal pillar and the rock stratum.

[0007] Optionally, in one embodiment of the present application, the calculation of the weight matrix of the evaluation indexes according to each evaluation index and the grading threshold of each risk level corresponding to each evaluation index includes: calculating the average value of the allowable critical value of each risk level according to the grading threshold of each risk level, and obtaining the actual value of each evaluation index; calculating the weight fuzzy set of each evaluation index according to the actual value and the corresponding average value, and performing normalization processing on the weight fuzzy set to obtain the weight matrix of the evaluation indexes.

[0008] Optionally, in one embodiment of the present application, before the calculation of the weight matrix of the evaluation indexes according to each evaluation index and the grading threshold of each risk level corresponding to each evaluation index, it further includes: obtaining the classification data of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining; dividing the risk of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining into one or more risk levels according to the classification data, and determining the grading threshold of each risk level under each evaluation index according to the influence characteristics of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining.

[0009] The second aspect embodiment of the present application provides a device for quantitatively evaluating the risk of the linkage damage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining, including: an obtaining module, configured to obtain one or more evaluation indexes of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining; a calculation module, configured to calculate a weight matrix of the evaluation indexes according to each evaluation index and the grading threshold of each risk level corresponding to each evaluation index, and calculate a fuzzy relation matrix of the evaluation indexes according to the membership relation of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining; and a processing module, configured to perform fuzzy operation according to the fuzzy relation matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, perform normalization processing on the obtained fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determine the actual risk level of the linkage instability disaster of the residual coal pillar and the rock stratum caused by the multi-seam mining by using the fuzzy clustering matrix.

[0010] Optionally, in an embodiment of the present application, the evaluation indexes include one or more of microseismic energy, remaining coal pillar damage degree and crack development height, wherein the microseismic energy is used to reflect the damage degree of the carrier and the bearing body, the remaining coal pillar damage degree is used to reflect the damage degree of the load transmission medium, and the crack development height is used to reflect the damage degree of the overburden rock caused by the linkage instability of the coal pillar and the rock stratum.

[0011] Optionally, in an embodiment of the present application, the computing module is further configured to calculate the average value of the allowable critical value of each risk level according to the grading threshold of each risk level, and obtain the actual value of each evaluation index; calculate the weight fuzzy set of each evaluation index according to the actual value and the corresponding average value, and perform normalization processing on the weight fuzzy set to obtain the weight matrix of the evaluation index.

[0012] Optionally, in an embodiment of the present application, the method further includes a dividing module configured to, before calculating the weight matrix of the evaluation index according to each evaluation index and the grading threshold of each risk level corresponding to each evaluation index, obtain classification data of the linkage instability disaster of the remaining coal pillar and the rock stratum caused by the multi-seam mining; divide the risk of the linkage instability disaster of the remaining coal pillar and the rock stratum caused by the multi-seam mining into one or more risk levels according to the classification data, and determine the grading threshold of each risk level under each evaluation index according to the influence characteristics of the linkage instability disaster of the remaining coal pillar and the rock stratum caused by the multi-seam mining.

[0013] The third aspect embodiment of the present application provides an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the quantitative evaluation method of the risk of the linkage instability disaster of the remaining coal pillar and the rock stratum caused by the multi-seam mining as described in the above embodiments.

[0014] The fourth aspect embodiment of the present application provides a computer readable storage medium having a computer program stored thereon, and the program is executed by a processor to implement the quantitative evaluation method of the risk of the linkage instability disaster of the remaining coal pillar and the rock stratum caused by the multi-seam mining as described in the above embodiments.

[0015] Therefore, the present application has at least the following beneficial effects:

[0016] By acquiring evaluation indexes of the coal pillar left by multi-seam mining and rock stratum linkage instability disaster, according to different characteristics and engineering actual situations of each influence index of the coal pillar left by multi-seam mining and rock stratum linkage instability disaster, the fuzzy set of the discrimination index is determined, the fuzzy relation matrix is obtained according to the calculation of the membership relation of each influence index to the coal pillar left by multi-seam mining and rock stratum linkage instability disaster, the fuzzy relation matrix is subjected to fuzzy operation and normalization processing with the index weight, the fuzzy clustering matrix of the fuzzy comprehensive evaluation result is obtained, the classification of the coal pillar left by multi-seam mining and rock stratum linkage instability disaster is determined by using the fuzzy clustering matrix, the risk evaluation result of the coal pillar left by multi-seam mining and rock stratum linkage instability disaster is more reasonable, and thus the comprehensive quantitative evaluation of the coal pillar left by multi-seam mining and rock stratum linkage instability is realized. Therefore, the problems in the prior art that only the evaluation and monitoring of a certain area of the coal pillar or rock stratum can be realized and the evaluation result has low reliability are solved.

[0017] Additional aspects and advantages of the application will be set forth in part in the description that follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0018] The above and / or additional aspects and advantages of the application will become apparent and be well understood from a review of the description of an embodiment, taken in conjunction with the drawings, in which:

[0019] Figure 1 A flow chart of a quantitative evaluation method of a coal pillar left by multi-seam mining and rock stratum linkage damage instability disaster risk provided according to an embodiment of the application is shown in the figure;

[0020] Figure 2 A block schematic diagram of a quantitative evaluation device of a coal pillar left by multi-seam mining and rock stratum linkage damage instability disaster risk provided according to an embodiment of the application is shown in the figure;

[0021] Figure 3 A structure schematic diagram of an electronic device provided according to an embodiment of the application is shown in the figure. DETAILED DESCRIPTION

[0022] Embodiments of the application are described in detail below with reference to examples shown in the attached drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below are exemplary and are intended to explain the application, and cannot be understood as a limitation of the application.

[0023] A multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation method, device, electronic equipment, and storage medium are described below with reference to the accompanying drawings. In view of the problems mentioned in the above background art, the present application provides a multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation method. In the method, evaluation indexes of the multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster are obtained, fuzzy sets composed of discriminant indexes are determined according to different characteristics and engineering actual situations of each residual coal pillar and rock stratum linkage damage instability disaster degree influence index, fuzzy relationship matrices are obtained according to the calculation of the membership of each influence index to the residual coal pillar and rock stratum linkage damage instability disaster degree, fuzzy operations are performed on the fuzzy relationship matrices and index weights, and normalization processing is performed to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result. The fuzzy clustering matrix is used to determine the classification of the residual coal pillar and rock stratum linkage damage instability disaster degree, so that the residual coal pillar and rock stratum linkage damage instability disaster risk evaluation result is more reasonable, thereby realizing comprehensive quantitative evaluation of the multi-coal seam mining residual coal pillar and rock stratum linkage damage instability. Thus, the problems of only being able to realize evaluation and monitoring of a certain area of the coal pillar or rock stratum and low evaluation result reliability in the related art are solved.

[0024] Specifically, Figure 1 A flowchart of a multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation method provided by an embodiment of the present application is shown in FIG. 1.

[0025] As Figure 1 shown, the multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation method includes the following steps:

[0026] In step S101, one or more evaluation indexes of the multi-coal seam mining residual coal pillar and rock stratum linkage damage instability disaster are obtained.

[0027] In an embodiment of the present application, the evaluation indexes include one or more of microseismic energy, residual coal pillar damage degree, and fracture development height, wherein the microseismic energy is used to reflect the damage degree of the load carrier and the load-bearing body, the residual coal pillar damage degree is used to reflect the damage degree of the load transmission medium, and the fracture development height is used to reflect the damage degree of the overburden rock caused by the coal pillar and rock stratum linkage instability.

[0028] It can be understood that the embodiments of the present application mainly provide a comprehensive quantitative evaluation method for the linkage instability of the residual coal pillars and rock strata in multi-seam mining. First, the main evaluation indexes and their influencing factors are comprehensively understood, and then the main evaluation indexes of the linkage instability of the residual coal pillars and rock strata are selected in combination with the mine production and geological conditions of multi-seam mining. According to the principles of objectivity, easy acquisition and quantification, the main evaluation indexes of the linkage instability of the residual coal pillars and rock strata are determined in combination with the multi-seam mining, roof and floor lithology, residual coal pillar condition and mine pressure behavior characteristics, and the main evaluation indexes include one or more of microseismic energy, residual coal pillar damage degree and crack development height, wherein the microseismic energy reflects the damage degree of the carrier and the bearing body; the residual coal pillar damage degree reflects the damage degree of the load transmission medium; and the crack development height reflects the overburden damage degree caused by the linkage instability of the residual coal pillars and rock strata to a certain extent.

[0029] In step S102, the weight matrix of the evaluation indexes is calculated according to each evaluation index and the grading threshold of each risk level corresponding to each evaluation index, and the fuzzy relationship matrix of the evaluation indexes is calculated according to the membership relationship of each evaluation index to the linkage instability disaster degree of the residual coal pillars and rock strata.

[0030] The embodiments of the present application can comprehensively consider the risk level corresponding to the evaluation index value according to the classification standards, specifications and related literature of the linkage instability disaster risk degree of the residual coal pillars and rock strata at home and abroad, quantize the risk level according to the different characteristics and engineering actual conditions of each influence index of the linkage instability disaster degree of the residual coal pillars and rock strata, respectively determine the fuzzy set composed of the discriminant indexes, that is, the membership function of the indexes, and obtain the fuzzy relationship matrix according to the calculation of the membership relationship of each influence index to the linkage instability disaster degree of the residual coal pillars and rock strata.

[0031] In the embodiments of the present application, the fuzzy relationship matrix R=(r ij ) n×m ,R=(r ij ) n×m The specific calculation process is as follows:

[0032]

[0033]

[0034]

[0035]

[0036] In an embodiment of the present application, the weight matrix of the evaluation index is calculated according to each evaluation index and the grading threshold corresponding to each risk level of each evaluation index, comprising: calculating the average value of the allowed critical value of each risk level according to the grading threshold of each risk level, and obtaining the actual value of each evaluation index; calculating the weight fuzzy set of each evaluation index according to the actual value and the corresponding average value, and performing normalization processing on the weight fuzzy set to obtain the weight matrix of the evaluation index.

[0037] Specifically, the embodiment of the present application can determine the influence index U = {u1, u2, u3} = {microseismic energy, residual coal pillar damage degree, fracture development height} and the classification level V = {v1, v2, v3, v4, v5} = {low risk, general risk, medium risk, high risk, major risk} of the residual coal pillar and rock stratum linkage instability disaster-causing risk degree according to the fuzzy comprehensive evaluation method, and set the weight distribution of each influence index as a fuzzy subset A on U, denoted as weight fuzzy set The calculation process of A is as follows:

[0038]

[0039] wherein, C i is the actual value of the i index; C 0i is the average value of the allowed critical value of the classification index at each level. The weight of each index calculated according to the above formula is a relative weight, in order to facilitate comparison, normalization processing is required, that is, the sum of the weights of each index is equal to 1, and the expression is as follows:

[0040]

[0041] Then the weight matrix A is:

[0042]

[0043] In step S103, fuzzy operation is performed according to the fuzzy relation matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, normalization processing is performed on the obtained fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and the actual risk level of the residual coal pillar and rock stratum linkage instability disaster-causing in multi-seam mining is determined by using the fuzzy clustering matrix.

[0044] It can be understood that the embodiments of the present application can perform fuzzy operation on the fuzzy relationship matrix and the index weight according to the formula B=A·R, and perform normalization processing to obtain a fuzzy clustering matrix B={μ1, μ2, μ3, μ4, μ5} on V, and further determine the risk degree classification of the remaining coal pillar and rock stratum linkage instability disaster, thereby, by using the fuzzy clustering comprehensive evaluation mathematical analysis model for stage classification, the evaluation result of the remaining coal pillar and rock stratum linkage instability disaster is more reasonable, so as to realize the comprehensive quantitative evaluation of the remaining coal pillar and rock stratum linkage instability of multi-coal seam mining.

[0045] In an embodiment of the present application, before calculating the weight matrix of the evaluation index according to each evaluation index and the classification threshold of each risk level corresponding to each evaluation index, it further comprises: obtaining classification data of the remaining coal pillar and rock stratum linkage instability disaster of multi-coal seam mining; dividing the risk of the remaining coal pillar and rock stratum linkage instability disaster of multi-coal seam mining into one or more risk levels according to the classification data, and determining the classification threshold of each risk level under each evaluation index according to the influence characteristics of the remaining coal pillar and rock stratum linkage instability disaster of multi-coal seam mining.

[0046] It can be understood that the embodiments of the present application can divide the risk degree of the remaining coal pillar and rock stratum linkage instability disaster into five levels I-V according to the classification data of the remaining coal pillar and rock stratum linkage instability disaster of multi-coal seam mining, and the classification threshold of different evaluation indexes corresponding to each risk degree is shown in Table 1, wherein Table 1 is a classification discrimination table of each index of the remaining coal pillar and rock stratum linkage instability disaster risk degree.

[0047] Table 1

[0048]

[0049] The following takes the remaining coal pillar and rock stratum linkage damage instability disaster risk evaluation of 7#, 8# and 11# coal seams of a certain coal mine as an example to apply the quantitative evaluation method of the remaining coal pillar and rock stratum linkage damage instability disaster risk of multi-coal seam mining.

[0050] 1) First, monitor the risk evaluation index when 11# coal seam is mined, and obtain the field measured value of different risk evaluation indexes, as shown in Table 2. Table 2 is the field measured data table of 11# coal seam of the coal mine.

[0051] Table 2

[0052]

[0053] 2) Calculate the membership degree of each index according to formula (1)-(3), and substitute it into formula (4) to obtain its fuzzy relationship matrix:

[0054]

[0055] 3) Secondly, the weight of each index is calculated according to formula (5)-(7), and normalized processing is performed as shown in Table 3, that is, the weighted fuzzy set can be obtained:

[0056] A = (0.10, 0.30, 0.60) (9)

[0057] Wherein, Table 3 is the weight table of each classification index of the 307 panel of the coal mine.

[0058] Table 3

[0059]

[0060] 4) According to B = A · R, the fuzzy evaluation matrix can be obtained:

[0061]

[0062] 5) Finally, according to the maximum membership principle, the risk degree of the remaining coal pillar and the rock stratum linkage damage instability disaster of the 307 panel of the coal mine belongs to class III, and the disaster risk level of the linkage damage instability of the coal pillar and the rock stratum belongs to the medium risk level.

[0063] In summary, the embodiment of the application is verified by taking the coal mine of the multi-seam mining mining area as an example, fully considers the influence of different mining areas production and geological conditions on the evaluation result, and improves the credibility and rationality of the result.

[0064] According to the multi-seam mining remaining coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation method proposed in the embodiment of the application, by obtaining the evaluation indexes of the remaining coal pillar and rock stratum linkage instability disaster of multi-seam mining, the fuzzy set composed of the discriminant indexes is determined according to the different characteristics and engineering actual conditions of each influence index of the remaining coal pillar and rock stratum linkage instability disaster degree, the fuzzy relation matrix is obtained according to the calculation of the membership relation of each influence index to the remaining coal pillar and rock stratum linkage instability disaster degree, the fuzzy relation matrix and the index weight are subjected to fuzzy operation and normalized processing, the fuzzy clustering matrix of the fuzzy comprehensive evaluation result is obtained, the classification of the remaining coal pillar and rock stratum linkage instability disaster degree is determined by using the fuzzy clustering matrix, the remaining coal pillar and rock stratum linkage instability disaster risk evaluation result is more reasonable, and thus the comprehensive quantitative evaluation of the remaining coal pillar and rock stratum linkage instability of multi-seam mining is realized. Therefore, the problems in the related art that only the evaluation and monitoring of a certain area of the coal pillar or the rock stratum can be realized and the credibility of the evaluation result is low are solved.

[0065] Secondly, a multi-seam mining remaining coal pillar and rock stratum linkage damage instability disaster risk quantitative evaluation device according to the embodiment of the application is described with reference to the accompanying drawings.

[0066] Figure 2is a block schematic diagram of a device for quantitatively evaluating a risk of a coal pillar left by multi-seam mining and a stratum linkage failure and disaster in an embodiment of the present application.

[0067] As shown in the figure, the device 10 for quantitatively evaluating the risk of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster comprises an acquisition module 100, a calculation module 200 and a processing module 300. Figure 2

[0068] The acquisition module 100 is configured to acquire one or more evaluation indexes of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster.The calculation module 200 is configured to calculate a weight matrix of each evaluation index according to each evaluation index and a classification threshold of each risk grade corresponding to each evaluation index, and calculate a fuzzy relation matrix of each evaluation index according to a degree of membership of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster. The processing module 300 is configured to perform a fuzzy operation according to the fuzzy relation matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, perform a normalization process on the fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determine an actual risk grade of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster by using the fuzzy clustering matrix.

[0069] In an embodiment of the present application, the evaluation indexes comprise one or more of microseismic energy, a failure degree of the coal pillar left and a fracture development height, wherein the microseismic energy is used to reflect a failure degree of a load carrier and a bearing carrier, the failure degree of the coal pillar left is used to reflect a failure degree of a load transmission medium, and the fracture development height is used to reflect a failure degree of overburden rock caused by the coal pillar and the stratum linkage failure and disaster.

[0070] In an embodiment of the present application, the calculation module 200 is further configured to calculate an average value of an allowable critical value of each risk grade according to the classification threshold of each risk grade, and acquire an actual value of each evaluation index; calculate a weight fuzzy set of each evaluation index according to the actual value and a corresponding average value, and perform a normalization process on the weight fuzzy set to obtain the weight matrix of the evaluation index.

[0071] In an embodiment of the present application, the device 10 of the present application further comprises a division module.

[0072] The division module is configured to acquire classification data of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster before calculating the weight matrix of each evaluation index according to each evaluation index and the classification threshold of each risk grade corresponding to each evaluation index; divide the risk of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster into one or more risk grades according to the classification data, and determine the classification threshold of each risk grade under each evaluation index according to an influence feature of the coal pillar left by the multi-seam mining and the stratum linkage failure and disaster.

[0073] It should be noted that the aforementioned explanation and description of the embodiment of the method for quantitatively evaluating the risk of the left coal pillar and rock stratum linkage damage instability disaster in multi-coal seam mining is also applicable to the device for quantitatively evaluating the risk of the left coal pillar and rock stratum linkage damage instability disaster in multi-coal seam mining, which will not be repeated here.

[0074] The device for quantitatively evaluating the risk of the left coal pillar and rock stratum linkage damage instability disaster in multi-coal seam mining according to the embodiment of the present application obtains evaluation indexes of the left coal pillar and rock stratum linkage damage instability disaster in multi-coal seam mining, determines a fuzzy set composed of discriminant indexes according to different characteristics and engineering actual conditions of each influence index of the left coal pillar and rock stratum linkage damage instability disaster, obtains a fuzzy relation matrix according to the calculation of the membership relation of each influence index to the left coal pillar and rock stratum linkage damage instability disaster, and performs fuzzy operation on the fuzzy relation matrix and the index weight and performs normalization processing to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result. The fuzzy clustering matrix is used to determine the classification of the left coal pillar and rock stratum linkage damage instability disaster, so that the evaluation result of the risk of the left coal pillar and rock stratum linkage damage instability disaster is more reasonable, thereby realizing comprehensive quantitative evaluation of the left coal pillar and rock stratum linkage damage instability in multi-coal seam mining. Thus, the problem of low credibility of the evaluation result in the related art is solved.

[0075] Figure 3 The structure schematic diagram of the electronic device provided by the embodiment of the present application is shown. The electronic device can include:

[0076] The memory 301, the processor 302, and the computer program stored in the memory 301 and executable on the processor 302.

[0077] The processor 302 implements the method for quantitatively evaluating the risk of the left coal pillar and rock stratum linkage damage instability disaster in multi-coal seam mining provided in the above embodiments when executing the program.

[0078] Further, the electronic device further includes:

[0079] The communication interface 303 is used for communication between the memory 301 and the processor 302.

[0080] The memory 301 is used to store the computer program executable on the processor 302.

[0081] The memory 301 can include a high-speed RAM (Random Access Memory, random access memory) memory, and can also include a non-volatile memory, such as at least one disk memory.

[0082] If the memory 301, the processor 302 and the communication interface 303 are implemented independently, the communication interface 303, the memory 301 and the processor 302 can be connected with each other through a bus and complete communication with each other. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 3 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0083] Optionally, in a specific implementation, if the memory 301, the processor 302 and the communication interface 303 are integrated on a chip, the memory 301, the processor 302 and the communication interface 303 can complete communication with each other through an internal interface.

[0084] The processor 302 can be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0085] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the above-mentioned multi-seam mining residual coal pillar and rock stratum linkage destruction instability disaster risk quantitative evaluation method.

[0086] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example" or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms is not necessarily for the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.

[0087] In addition, the terms "first", "second", etc. are used only for descriptive purposes and do not connote or imply relative importance or a quantity of the indicated technical features. Thus, a feature defined with "first", "second", etc. can include at least one of the feature, explicitly or implicitly. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise explicitly and specifically limited.

[0088] Any process or method descriptions or blocks in flow charts described herein and elsewhere can be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the preferred embodiments of the present application in which additional functionality can be added or some functionality can be removed, by, for example, adding one or more steps performing a similar or reciprocal function, combining two or more steps into a single step, or splitting one step into two or more steps.

[0089] It should be understood that aspects of the present application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. As with a hardware implementation, the methods can also be implemented with any of or a combination of one or more techniques well known to those skilled in the art such as discrete logic circuitry having logic gates for implementing logic functions upon data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays, field programmable gate arrays, etc.

[0090] Those of skill in the art would understand that information and signals can be represented using any of a variety of technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that can be referenced throughout the above description can be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

[0091] While the embodiments of the present application have been illustrated and described, it is understood that the embodiments described are exemplary only and not limiting, as numerous changes, modifications and substitutions can be suggested to one skilled in the art and it is intended that the present application encompass all such changes, modifications and substitutions as fall within the scope of the appended claims.

Claims

1. A method for quantitatively evaluating the risk of disaster caused by the linkage destruction and instability of coal pillars and rock strata left after multi-seam mining, characterized in that, The method comprises the following steps: obtaining one or more evaluation indexes of coal pillar and rock stratum linkage instability disaster caused by multi-seam mining; the evaluation indexes comprise one or more of microseismic energy, coal pillar damage degree and fracture development height, wherein the microseismic energy is used to reflect the damage degree of the load carrier and the bearing carrier, the coal pillar damage degree is used to reflect the damage degree of the load transmission medium, and the fracture development height is used to reflect the damage degree of the overburden rock caused by the coal pillar and rock stratum linkage instability; calculating a weight matrix of the evaluation indexes according to each evaluation index and a grading threshold value of each risk level corresponding to each evaluation index, wherein the average value of the allowable critical value of each risk level is calculated according to the grading threshold value of each risk level, and the actual value of each evaluation index is obtained; the weight fuzzy set of each evaluation index is calculated according to the actual value and the corresponding average value, the weight fuzzy set is normalized to obtain the weight matrix of the evaluation indexes; and calculating a fuzzy relationship matrix of the evaluation indexes according to the membership of the coal pillar and rock stratum linkage instability disaster caused by multi-seam mining to each evaluation index; performing fuzzy operation according to the fuzzy relationship matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, performing normalization on the obtained fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determining the actual risk level of the coal pillar and rock stratum linkage instability disaster caused by multi-seam mining by using the fuzzy clustering matrix; before calculating the weight matrix of the evaluation indexes according to each evaluation index and a grading threshold value of each risk level corresponding to each evaluation index, further comprising: obtaining classification data of the coal pillar and rock stratum linkage instability disaster caused by multi-seam mining; dividing the risk of the coal pillar and rock stratum linkage instability disaster caused by multi-seam mining into one or more risk levels according to the classification data, and determining the grading threshold value of each risk level under each evaluation index according to the influence characteristics of the coal pillar and rock stratum linkage instability disaster caused by multi-seam mining to each evaluation index.

2. A device for quantitatively evaluating the risk of disaster caused by the linkage destruction and instability of coal pillars and rock strata left after multi-seam mining, characterized in that, comprise: an obtaining module, configured to obtain one or more evaluation indexes of coal pillar and rock stratum linkage instability disaster caused by multi-seam mining; the evaluation indexes comprise one or more of microseismic energy, coal pillar damage degree and fracture development height, wherein the microseismic energy is used to reflect the damage degree of the load carrier and the bearing carrier, the coal pillar damage degree is used to reflect the damage degree of the load transmission medium, and the fracture development height is used to reflect the damage degree of the overburden rock caused by the coal pillar and rock stratum linkage instability; a calculation module, configured to calculate a weight matrix of the evaluation indexes according to each evaluation index and a grading threshold value of each risk level corresponding to each evaluation index, and further configured to: calculate the average value of the allowable critical value of each risk level according to the grading threshold value of each risk level, and obtain the actual value of each evaluation index; calculate the weight fuzzy set of each evaluation index according to the actual value and the corresponding average value, and perform normalization on the weight fuzzy set to obtain the weight matrix of the evaluation indexes; According to each evaluation index, a fuzzy relation matrix of the membership relation of the coal pillar left and the rock stratum linkage instability disaster degree is calculated; The processing module is configured to perform fuzzy operation according to the fuzzy relation matrix and the weight matrix to obtain a fuzzy comprehensive evaluation result, perform normalization processing on the fuzzy comprehensive evaluation result to obtain a fuzzy clustering matrix of the fuzzy comprehensive evaluation result, and determine the actual risk grade of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining by using the fuzzy clustering matrix; Further comprising: The dividing module is configured to obtain classification data of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining before calculating the weight matrix of the evaluation index according to each evaluation index and a grading threshold of each risk grade corresponding to each evaluation index, divide the risk of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining into one or more risk grades according to the classification data, and determine the grading threshold of each risk grade under each evaluation index according to the influence characteristics of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining.

3. An electronic device, comprising: Further comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for quantitatively evaluating the risk of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining according to any one of claims 1.

4. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the method for quantitatively evaluating the risk of the coal pillar left and the rock stratum linkage instability disaster in the multi-seam mining according to any one of claims 1.

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