Mine ventilation safety state evaluation method

Abstract

The invention discloses a mine ventilation safety state evaluation method, and relates to the field of safety evaluation. Based on a ventilation index selection principle and ventilation environment requirements, ventilation index data of the driving working face and the stope working face are determined; environment signals and ventilation sensing data are collected through a wireless sensor; dividing the ventilation index data into a plurality of layers; obtaining a combination weight through an analytic hierarchy process; substituting the weight into an evaluation index system to obtain a safety state evaluation score of each index, and determining a current mine ventilation safety state grade; the safety state of the mine ventilation physical environment is fed back in real time, hidden dangers in the production process are found in time, scientific decisions are made, and corresponding management and control measures are taken. According to the method, the mine ventilation physical environment safety is controlled by utilizing the real-time mine ventilation safety state evaluation result, ventilation hidden dangers in the production process are found in time, ventilation department personnel are guided to make scientific decisions and take corresponding management and control treatment measures, and stable operation of a ventilation system is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of safety evaluation, and in particular to a method for evaluating the safety status of mine ventilation. Background Art

[0002] Safety evaluation of mine ventilation system is one of the important contents of mine safety management. A reasonable and effective ventilation system can effectively protect the lives of miners and play an important role in mine production. The safety evaluation method and development trend of mine ventilation system are of great significance to improving the safety level of mine production and ensuring the safety of miners.

[0003] Among mine disasters, spontaneous combustion of coal, gas, dust, toxic and harmful gases in coal mines account for a high proportion and cause great harm. The main reason is that the safety of the mine ventilation system is not guaranteed. Improving the safety of the ventilation system is conducive to disaster prevention, mitigation and resistance in coal mines. Real-time assessment of the mine ventilation safety status can timely discover problems and safety hazards in the operation of the ventilation system during mine production, facilitate timely adjustment and optimization by relevant personnel, and guide on-site ventilation safety management.

[0004] Therefore, it is an urgent problem for those skilled in the art to propose a method for evaluating the safety status of mine ventilation to solve the problems existing in the prior art. Summary of the invention

[0005] In view of this, the present invention provides a method for evaluating the safety status of mine ventilation to solve at least one of the above technical problems.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A method for evaluating the safety status of mine ventilation comprises the following steps: S1 Index selection steps: Based on the ventilation index selection principles and ventilation environment requirements, determine the ventilation index data of the excavation working face and the ventilation index data of the mining working face; S2 Ventilation perception data acquisition step: Collect environmental signals and ventilation perception data through wireless sensors to obtain a data sample set; S3 builds a hierarchical model and calculates weights: decomposes ventilation index data into multiple levels from top to bottom according to different attributes, with the top layer being the target layer, the bottom layer being the solution layer, and the middle layer being the index layer, wherein the middle layer includes multiple levels; obtains the combined weights through the hierarchical analysis method; S4 Ventilation safety status evaluation step: Substitute the calculated weight into the evaluation index system for calculation to obtain the safety status evaluation score of each index, thereby determining the current mine ventilation safety status level; S5 Safety status feedback step: According to the mine ventilation safety status level, provide real-time feedback on the safety status of the mine ventilation physical environment, promptly identify hidden dangers in the production process, make scientific decisions and take corresponding management and control measures.

[0007] In the above method, optionally, the specific content of S1 is: Based on the ventilation index selection principle, the air volume supply-demand ratio, goaf air leakage rate, air quality qualification rate, and air volume and wind speed qualification rate are used as ventilation index data; In combination with the ventilation environment requirements, wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio, goaf air leakage rate and dust concentration are selected as data indicators for judging the ventilation safety status of the mining working face; wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio and dust concentration are selected as data indicators for judging the ventilation safety status of the excavation working face.

[0008] In the above method, optionally, the specific content of S2 is: By using Internet of Things technology, wireless sensors automatically collect environmental signals, obtain mine ventilation perception data, and form a data sample set.

[0009] The above method is optional, and the specific content of S3 is: The weights of mine ventilation quality evaluation indicators are determined through the hierarchical analysis method to obtain the combined weights. The single indicator evaluation grade measurement value determined by the attribute interval recognition evaluation model is combined with the weight information of each indicator to conduct a multi-indicator comprehensive evaluation, and the comprehensive evaluation grade results of the mining working face are obtained according to the confidence criterion.

[0010] The above method is optional, index score calculation: the sensor collects ventilation index data at different times and divides it into 5 levels of value range, and calculates the score of each index on each layer. is the index range score, , , , , , the comprehensive importance score of each indicator in each layer is calculated according to the following formula:

[0011] in, It represents the proportion of samples with different data value ranges for the current indicator, from which the scores of each indicator of the first-level and second-level indicators are calculated.

[0012] The above method, optionally, indicator score conversion: in the hierarchical analysis method, the indicator weights are determined by using a judgment matrix, and the indicators are compared in pairs according to the specified criteria; the judgment matrix is ​​formed by giving a list of judgment values ​​based on the relative importance of each factor in each layer of the hierarchical structure; in the pairwise comparison matrix, numbers are used to represent the relative importance of one element over another element with respect to the criteria, using the Saaty 1-9 scale value.

[0013] The above method, optionally, establishes and checks the consistency of the judgment matrix: constructs each judgment matrix according to the analytic hierarchy process, and compares the indicators in the first column on the left with the indicators in the top row in turn according to the criteria, and then compares the indicators in the second column with the indicators in the top row, and so on; The basis for comparison is the corresponding scale value of the Saaty 1-9 scale value into which the difference between the corresponding indicators falls. Finally, the judgment matrix A is obtained. The eigenvector W corresponding to its maximum eigenvalue is obtained according to the judgment matrix A. After normalization, its weight is obtained; the maximum eigenvalue of the judgment matrix A is calculated. ,

[0014] in, Represents the i-th element of the vector AW, and the consistency deviation is calculated as follows:

[0015] Then calculate the random consistency ratio as follows:

[0016] Among them, RI is a constant. If CR≤0.10, the matrix satisfies the consistency test.

[0017] The above method, optionally, S4 divides the ventilation safety status into four levels: excellent, good, qualified and unqualified.

[0018] It can be seen from the above technical solution that, compared with the prior art, the present invention provides a method for evaluating the safety status of mine ventilation, which has the following beneficial effects: The real-time mine ventilation safety status assessment results can be used to control the safety of the mine ventilation physical environment, facilitate timely discovery of ventilation hazards in the production process, guide ventilation department personnel to make scientific decisions and take corresponding management and disposal measures, and ensure the stable operation of the ventilation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0020] Figure 1 A flow chart of a mine ventilation safety status evaluation method disclosed in the present invention; Figure 2 The ventilation safety status feedback index data of the mining working face disclosed in the present invention; Figure 3 The ventilation safety status feedback index data of the excavation working face disclosed in the present invention; Figure 4 The ventilation safety status evaluation hierarchical structure model disclosed in the present invention; Figure 5 The present invention discloses a flow chart for determining the ventilation status evaluation results. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0023] The invention discloses a method for evaluating the safety status of mine ventilation. The method proposes a hierarchical analysis method among three objective weighting methods, namely, mean square error method, coefficient of variation method and entropy weight method, and a subjective weighting method, and uses the minimum relative information entropy principle to comprehensively obtain a combination weight. A single indicator evaluation grade measurement value determined by an attribute interval recognition evaluation model is combined with weight information of each indicator to perform a multi-indicator comprehensive evaluation, and a comprehensive evaluation grade result of the safety status of mine ventilation is obtained according to a confidence criterion.

[0024] Reference Figure 1 As shown, the present invention discloses a method for evaluating the safety status of mine ventilation, comprising the following steps: S1 Index selection steps: Based on the ventilation index selection principles and ventilation environment requirements, determine the ventilation index data of the excavation working face and the ventilation index data of the mining working face; specifically, collect and analyze ventilation safety incidents in coal mines in recent years through literature review, field research, expert interviews and other methods, determine the mine ventilation safety status evaluation index, and classify the influencing indicators of mine ventilation safety status evaluation; S2 Ventilation perception data acquisition step: Collect environmental signals and ventilation perception data through wireless sensors to obtain a data sample set; S3 builds a hierarchical model and calculates weights: decomposes ventilation index data into multiple levels from top to bottom according to different attributes, with the top layer being the target layer, the bottom layer being the solution layer, and the middle layer being the index layer, wherein the middle layer includes multiple levels; obtains the combined weights through the hierarchical analysis method; S4 Ventilation safety status evaluation step: Substitute the calculated weight into the evaluation index system for calculation to obtain the safety status evaluation score of each index, thereby determining the current mine ventilation safety status level; S5 Safety status feedback step: According to the mine ventilation safety status level, provide real-time feedback on the safety status of the mine ventilation physical environment, promptly identify hidden dangers in the production process, make scientific decisions and take corresponding management and control measures.

[0025] For further information, see Figure 2 and Figure 3 , the specific content of S1 is: Based on the ventilation index selection principle, the air volume supply-demand ratio, goaf air leakage rate, air quality qualification rate, and air volume and wind speed qualification rate are used as ventilation index data; In combination with the ventilation environment requirements, wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio, goaf air leakage rate and dust concentration are selected as data indicators for judging the ventilation safety status of the mining working face; wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio and dust concentration are selected as data indicators for judging the ventilation safety status of the excavation working face.

[0026] Furthermore, the specific content of S2 is: By using Internet of Things technology, wireless sensors automatically collect environmental signals, obtain mine ventilation perception data, and form a data sample set.

[0027] Furthermore, the specific content of S3 is: The weight of mine ventilation quality evaluation index is determined by the hierarchical analysis method to obtain the combined weight, and the single index evaluation grade measurement value determined by the attribute interval recognition evaluation model is combined with the weight information of each index to conduct a multi-index comprehensive evaluation, and the comprehensive evaluation grade result of the mining face is obtained according to the confidence criterion. Figure 4 As shown in the figure, the indicator system formed above is hierarchically represented, and the relevant factors are decomposed into several levels from top to bottom according to different attributes. The top layer is the target layer, which usually has only one factor, and the bottom layer is usually the solution layer. There can be multiple or one layers in the middle, which is usually the indicator layer.

[0028] Further, the index score calculation: the sensor collects ventilation index data at different times and divides it into 5 levels of value range, and calculates the score of each index on each layer. is the index range score, , , , , , the comprehensive importance score of each indicator in each layer is calculated according to the following formula:

[0029] in, It represents the proportion of samples with different data value ranges for the current indicator, from which the scores of the first-level indicators (see Table 1) and the scores of each indicator of the second-level indicators (see Table 2) are calculated.

[0030] Table 1. Primary indicator scores

[0031] Table 2 Secondary indicator scores

[0032] Further, indicator score conversion: In the hierarchical analysis method, the indicator weights are determined by using the judgment matrix method, and the indicators are compared in pairs according to the specified criteria; the judgment matrix is ​​formed by giving a list of judgment values ​​based on the relative importance of each factor in each layer of the hierarchical structure; in the pairwise comparison matrix, specific numbers are used to represent the relative importance of one element over another element for the criteria, and the Saaty 1-9 scale value is generally used, see Table 3.

[0033] Table 3 Saaty 1-9 digital scale

[0034] Further, the establishment and consistency test of judgment matrix: According to the analytic hierarchy process, each judgment matrix is ​​constructed. According to the criteria, the indicators in the first column on the left are compared with the indicators in the top row, and then the indicators in the second column are compared with the indicators in the top row, and so on; The basis for comparison is the corresponding scale value of the Saaty 1-9 scale value into which the difference between the corresponding indicators falls. Finally, the judgment matrix A is obtained. The eigenvector W corresponding to its maximum eigenvalue is obtained according to the judgment matrix A. After normalization, its weight is obtained; the maximum eigenvalue of the judgment matrix A is calculated. ,

[0035] in, Represents the i-th element of the vector AW, and the consistency deviation is calculated as follows:

[0036] Then calculate the random consistency ratio as follows:

[0037] Among them, RI is a constant, and its value is shown in Table 4; if CR≤0.10, the matrix satisfies the consistency test.

[0038] Table 4 RI value table

[0039] Further, S4 The ventilation safety evaluation results selected by the present invention are based on the requirements for various ventilation indicators in the "Coal Mine Safety Regulations" 2022 Edition and the "Coal Mine Ventilation Capacity Approval Standards" and other standards, and the ventilation safety status is divided into four levels: excellent, good, qualified and unqualified. For the specific process, see Figure 5 As shown in the figure, the weights of mine ventilation quality evaluation indicators are determined through the hierarchical analysis method, and the combination weights are comprehensively obtained using the principle of minimum relative information entropy. The single indicator evaluation grade measurement value determined by the attribute interval recognition evaluation model is combined with the weight information of each indicator to perform a multi-indicator comprehensive evaluation, and the comprehensive evaluation grade result of the working face is obtained according to the confidence criterion.

[0040] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0041] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the safety status of mine ventilation, characterized in that: The following steps are involved: S1 Index selection steps: Based on the ventilation index selection principles and ventilation environment requirements, determine the ventilation index data of the excavation working face and the ventilation index data of the mining working face; S2 Ventilation perception data acquisition step: Collect environmental signals and ventilation perception data through wireless sensors to obtain a data sample set; S3 builds a hierarchical model and calculates weights: decomposes ventilation index data into multiple levels from top to bottom according to different attributes, with the top layer being the target layer, the bottom layer being the solution layer, and the middle layer being the index layer, wherein the middle layer includes multiple levels; obtains the combined weights through the hierarchical analysis method; S4 Ventilation safety status evaluation step: Substitute the calculated weight into the evaluation index system for calculation to obtain the safety status evaluation score of each index, thereby determining the current mine ventilation safety status level; S5 Safety status feedback step: According to the mine ventilation safety status level, provide real-time feedback on the safety status of the mine ventilation physical environment, promptly identify hidden dangers in the production process, make scientific decisions and take corresponding management and control measures.

2. A mine ventilation safety status evaluation method according to claim 1, characterized in that: The specific contents of S1 are: Based on the ventilation index selection principle, the air volume supply-demand ratio, goaf air leakage rate, air quality qualification rate, and air volume and wind speed qualification rate are used as ventilation index data; In combination with the ventilation environment requirements, wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio, goaf air leakage rate and dust concentration are selected as data indicators for judging the ventilation safety status of the mining working face; wind speed, temperature, humidity, CO2 concentration, O2 concentration, CO concentration, CH4 concentration, air volume supply-demand ratio and dust concentration are selected as data indicators for judging the ventilation safety status of the excavation working face.

3. A mine ventilation safety status evaluation method according to claim 2, characterized in that: The specific contents of S2 are: By using Internet of Things technology, wireless sensors automatically collect environmental signals, obtain mine ventilation perception data, and form a data sample set.

4. A mine ventilation safety status evaluation method according to claim 3, characterized in that: The specific contents of S3 are: The weights of mine ventilation quality evaluation indicators are determined through the hierarchical analysis method to obtain the combined weights. The single indicator evaluation grade measurement value determined by the attribute interval recognition evaluation model is combined with the weight information of each indicator to conduct a multi-indicator comprehensive evaluation, and the comprehensive evaluation grade results of the mining working face are obtained according to the confidence criterion.

5. A mine ventilation safety status evaluation method according to claim 4, characterized in that: Index score calculation: The sensor collects ventilation index data at different times and divides it into 5 levels of value range, and calculates the score of each index on each floor. is the index range score, , , , , , the comprehensive importance score of each indicator in each layer is calculated according to the following formula: ； in, It represents the proportion of samples with different data value ranges for the current indicator, from which the scores of each indicator of the first-level and second-level indicators are calculated.

6. A mine ventilation safety status evaluation method according to claim 5, characterized in that: Indicator score conversion: In the hierarchical analysis method, the indicator weights are determined by using the judgment matrix method, and the indicators are compared in pairs according to the specified criteria; the judgment matrix is ​​formed by giving a list of judgment values ​​based on the relative importance of each factor in each layer of the hierarchical structure; in the pairwise comparison matrix, specific numbers are used to represent the relative importance of one element over another element for the criteria, using the Saaty 1-9 scale value.

7. A mine ventilation safety status evaluation method according to claim 6, characterized in that: Establishment and consistency test of judgment matrix: According to the analytic hierarchy process, construct each judgment matrix. According to the criteria, compare the indicators in the first column on the left with the indicators in the top row, then compare the indicators in the second column with the indicators in the top row, and so on; The basis for comparison is the corresponding scale value of the Saaty 1-9 scale value into which the difference between the corresponding indicators falls. Finally, the judgment matrix A is obtained. The eigenvector W corresponding to its maximum eigenvalue is obtained according to the judgment matrix A. After normalization, its weight is obtained; the maximum eigenvalue of the judgment matrix A is calculated. , ； in, Represents the i-th element of the vector AW, and the consistency deviation is calculated as follows: ； Then calculate the random consistency ratio as follows: ； Among them, RI is a constant. If CR≤0.10, the matrix satisfies the consistency test.

8. A mine ventilation safety status evaluation method according to claim 7, characterized in that: S4 divides ventilation safety status into four levels: excellent, good, qualified and unqualified.

Images