Non-coal mine safety early warning system based on ternary risk factor data

Abstract

The invention discloses a non-coal mine safety early warning system based on ternary risk factor data, and relates to the field of mine safety early warning. The system comprises a ternary risk factor data acquisition module used for acquiring ternary risk factor data of each security situation quantitative analysis area in a mine; the area safety degree calculation module is used for acquiring a safety situation quantitative analysis value of each safety situation quantitative analysis area according to the basic safety reference data and the ternary risk factor data; the mine safety degree calculation module is used for calculating a safety situation quantitative analysis value of the mine according to a formula # imgabs0 #; and the mine safety early warning module is used for determining the early warning level of the mine according to the safety situation quantitative analysis value of the mine. Therefore, by collecting the ternary element risk data, calculating the corresponding safety situation quantitative analysis value and further matching the early warning level according to the safety situation quantitative analysis value, safety prevention and control can be carried out in time.

Description

Technical Field

[0001] The present invention relates to the field of mine safety warning, and particularly to a non-coal mine safety warning system based on ternary risk factor data. Background Art

[0002] Through the analysis of the existing mine safety management system, it is found that at present, the dual prevention of most mines takes the post as the basic unit, and there are situations such as incomplete and unclear identification of hazard sources and inaccurate early warning, thus unable to provide technical support for mine early warning and safety prevention and control. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to overcome the deficiencies in the prior art, and provide a non-coal mine safety warning system based on ternary risk factor data, which is used to perform hierarchical safety situation quantitative analysis by collecting ternary risk factor data, so as to achieve timely early warning and improve the safety and management efficiency of the mine.

[0004] The present invention provides the following technical solutions:

[0005] In a first aspect, the present invention proposes a non-coal mine safety warning system based on ternary risk factor data, and the system includes: a ternary risk factor data collection module, a regional safety degree calculation module, a mine safety degree calculation module, and a mine safety warning module;

[0006] The ternary risk factor data collection module is used to identify and generate ternary risk factors for each safety situation quantitative analysis area in the mine, and collect ternary risk factor data, and the ternary risk factor data includes mine facility factor data, equipment factor data, and operation activity factor data;

[0007] The regional safety degree calculation module is used to obtain the safety situation quantitative analysis value of each safety situation quantitative analysis area according to the basic safety reference data and the ternary risk factor data of each safety situation quantitative analysis area;

[0008] The mine safety degree calculation module is used to calculate the safety situation quantitative analysis value of the mine according to formula (1);

[0009]

[0010] Wherein, R represents the safety situation quantitative analysis value of the mine, m is the number of safety situation quantitative analysis areas, and R k is the safety situation quantitative analysis value of the kth safety situation quantitative analysis area;

[0011] The mine safety warning module is used to determine the warning level of the mine according to the safety situation quantitative analysis value of the mine.

[0012] In one embodiment, the ternary risk factor data acquisition module includes a ternary risk factor generation sub-module, a data acquisition sub-module, and a calculation sub-module;

[0013] The ternary risk factor generation sub-module is configured to generate a plurality of elements to be quantitatively analyzed corresponding to the ternary risk factors, and generate corresponding quantitative analysis options and corresponding preset option safety thresholds for each of the elements to be quantitatively analyzed; the quantitative analysis options include mine facility options, equipment options, and operation activity options;

[0014] The data acquisition sub-module is configured to collect data of the quantitative analysis options corresponding to each of the quantitative analysis options, and obtain a safety situation quantitative analysis value of each of the quantitative analysis options according to the data of each of the quantitative analysis options and the preset option safety threshold;

[0015] The element safety calculation sub-module is configured to obtain a safety situation quantitative analysis value of each of the elements to be quantitatively analyzed according to the safety situation quantitative analysis values of each of the quantitative analysis options.

[0016] In one embodiment, the data of the quantitative analysis options includes: mine facility option data, equipment option data, and operation activity option data;

[0017] The mine facility option data includes: mine facility design data, mine facility construction data, and mine facility maintenance data;

[0018] The equipment option data includes: equipment selection data, equipment procurement data, equipment usage data, and equipment maintenance data;

[0019] The operation activity option data includes: working state data, physical health data, and operation training data of the operation object before the operation, operation data of the operation object during the operation, and state data of the operation object after the operation.

[0020] In one embodiment, the regional safety degree calculation module includes a first calculation sub-module and a second calculation sub-module;

[0021] The first calculation sub-module is configured to obtain a safety situation quantitative analysis value of each sub-region in each of the safety situation quantitative analysis regions according to the safety situation quantitative analysis values of each of the elements to be quantitatively analyzed;

[0022] The second calculation sub-module is configured to calculate a safety situation quantitative analysis value of each of the safety situation quantitative analysis regions according to the basic safety reference data and the safety situation quantitative analysis values of each of the sub-regions.

[0023] In one embodiment, the element security calculation sub-module is further configured to calculate the security situation quantitative analysis value corresponding to the ternary risk element data according to the following formulas (2), (3), and (4);

[0024] F = ∑αf i (2)

[0025] where f i is the security situation quantitative analysis value of the i-th mine facility option, F is the security situation quantitative analysis value corresponding to the mine facility element data, and α is the first coefficient;

[0026] E = ∑βe j (3)

[0027] where e j is the security situation quantitative analysis value of the j-th equipment option, E is the security situation quantitative analysis value corresponding to the equipment element data, and β is the second coefficient;

[0028] H = ∑θh q (4)

[0029] where h q is the security situation quantitative analysis value of the q-th operation activity option, H is the security situation quantitative analysis value corresponding to the operation activity element data, and θ is the third coefficient;

[0030] The first calculation sub-module is further configured to calculate the security situation quantitative analysis value of the sub-region in each of the security situation quantitative analysis regions according to the following formula (5);

[0031] A d = γ1F d + γ2E d + γ3H d (5)

[0032] where A d represents the security situation quantitative analysis value of the d-th sub-region, γ1 represents the first weighting coefficient, γ2 represents the second weighting coefficient, and γ3 represents the third weighting coefficient.

[0033] In one embodiment, the regional security degree calculation module further includes a reference data generation sub-module;

[0034] The reference data generation sub-module is configured to perform assignment processing on each option to be quantitatively analyzed according to a preset assignment algorithm to obtain the basic security reference data;

[0035] The second calculation sub-module is configured to calculate the security situation quantitative analysis value of each of the security situation quantitative analysis regions according to the following formula (6);

[0036]

[0037] Among them, R k represents the security situation quantification analysis value of the kth security situation quantification analysis area, represents the security situation quantification analysis value of the dth sub-area in the kth security situation quantification analysis area, and M is the basic security reference data.

[0038] In one embodiment, the mine safety warning module includes a matching sub-module, which is used to match the target mine warning classification data range from multiple mine warning classification data ranges according to the security situation quantification analysis value of the mine, and determine the warning level of the mine according to the target mine warning classification data range.

[0039] In one embodiment, the matching sub-module is further used to match the corresponding target sub-area warning classification data range from multiple sub-area warning classification data ranges according to the security situation quantification analysis value of the dth sub-area, and determine the warning level of the dth sub-area according to the target sub-area warning classification data range.

[0040] In one embodiment, the mine safety warning module further includes a range determination sub-module, which is further used to determine the warning classification data ranges of the sub-areas according to the basic security reference data and multiple preset classification multiples;

[0041] Among them, the warning classification data ranges of the sub-areas include a first warning classification data range, a second warning classification data range, a third warning classification data range, and a fourth warning classification data range. The first warning classification data range is A d < 1.1M, the second warning classification data range is 1.1M ≤ A d < 1.6M, the third warning classification data range is 1.6M ≤ A d < 2M, the fourth warning classification data range is 2M ≤ A d < 2.5M, and A d is the security situation quantification analysis value of the dth sub-area, and M is the basic security reference data.

[0042] In one embodiment, the mine includes m security situation quantification analysis areas, and there is no intersection area between any two of the m security situation quantification analysis areas, and the union area of the m security situation quantification analysis areas is the mine.

[0043] The non-coal mine safety early warning system based on ternary risk factor data disclosed by the present invention includes: a ternary risk factor data acquisition module, which is used to identify and generate ternary risk factors for each safety situation quantitative analysis area in the mine, and collect ternary risk factor data. The ternary risk factor data includes mine facility factor data, equipment factor data, and operation activity factor data; a regional safety degree calculation module, which is used to obtain the safety situation quantitative analysis value of each safety situation quantitative analysis area according to the basic safety reference data and the ternary risk factor data of each safety situation quantitative analysis area; a mine safety degree calculation module, which is used to calculate the safety situation quantitative analysis value of the mine according to the formula: Calculate the safety situation quantitative analysis value of the mine; where R represents the safety situation quantitative analysis value of the mine, m is the number of safety situation quantitative analysis areas, and R k Is the safety situation quantitative analysis value of the kth safety situation quantitative analysis area; a mine safety early warning module, which is used to determine the early warning level of the mine according to the safety situation quantitative analysis value of the mine. In this way, by automatically collecting the ternary element risk data of each safety situation quantitative analysis area in the mine through the system, calculating the corresponding safety situation quantitative analysis value, and further matching the early warning level of the mine according to the safety situation quantitative analysis value, the early warning accuracy of the mine can be improved, which is helpful for timely safety prevention and control, thus ensuring the long-term stable operation of the mine. Brief Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the protection scope of the present invention. In each drawing, similar components are numbered similarly.

[0045] Figure 1 Shows a structural schematic diagram of the non-coal mine safety early warning system based on ternary risk factor data proposed in this embodiment;

[0046] Figure 2 Shows another structural schematic diagram of the non-coal mine safety early warning system based on ternary risk factor data proposed in this embodiment;

[0047] Figure 3 Shows yet another structural schematic diagram of the non-coal mine safety early warning system based on ternary risk factor data proposed in this embodiment;

[0048] Figure 4 Shows still another structural schematic diagram of the non-coal mine safety early warning system based on ternary risk factor data proposed in this embodiment.

[0049] Description of the Drawings' Reference Numerals:

[0050] 100 - Three - element risk factor data acquisition module; 200 - Regional safety degree calculation module; 300 - Mine safety degree calculation module; 400 - Mine safety early warning module; 101 - Three - element risk factor generation sub - module; 102 - Data acquisition sub - module; 103 - Calculation sub - module; 201 - Reference data generation sub - module; 202 - First calculation sub - module; 203 - Second calculation sub - module; 401 - Matching sub - module; 402 - Range determination sub - module. Detailed implementation mode

[0051] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0052] Generally, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0053] Hereinafter, the terms "including", "having" and their cognates that can be used in various embodiments of the present invention are only intended to represent specific features, numbers, steps, operations, elements, components or combinations of the foregoing items, and should not be construed as first excluding the existence of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing items or increasing the possibility of one or more features, numbers, steps, operations, elements, components or combinations of the foregoing items.

[0054] In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0055] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in a general dictionary) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or being overly formal, unless clearly defined in various embodiments of the present invention.

[0056] Embodiment 1

[0057] An embodiment of the present disclosure provides a non - coal mine safety early - warning system based on ternary risk - factor data, which is used to perform hierarchical safety - situation quantitative analysis by collecting ternary risk - factor data, so as to achieve timely early - warning and improve the safety and management efficiency of the mine.

[0058] Please refer to Figure 1 , a non - coal mine safety early - warning system based on ternary risk - factor data, the system includes: a ternary risk - factor data collection module 100, a regional safety - degree calculation module 200, a mine safety - degree calculation module 300, and a mine safety early - warning module 400.

[0059] The ternary risk - factor data collection module 100 is used to identify and generate ternary risk factors for each safety - situation quantitative - analysis area in the mine, and collect ternary risk - factor data, where the ternary risk - factor data includes mine - facility factor data, equipment - factor data, and operation - activity factor data.

[0060] The regional safety - degree calculation module 200 is used to obtain the safety - situation quantitative - analysis value of each safety - situation quantitative - analysis area according to the basic safety reference data and the ternary risk - factor data of each safety - situation quantitative - analysis area.

[0061] The mine safety - degree calculation module 300 is used to calculate the safety - situation quantitative - analysis value of the mine according to formula (1).

[0062]

[0063] Wherein, R represents the safety - situation quantitative - analysis value of the mine, m is the number of safety - situation quantitative - analysis areas, and R k is the safety - situation quantitative - analysis value of the k - th safety - situation quantitative - analysis area.

[0064] The mine safety early - warning module 400 is used to determine the early - warning level of the mine according to the safety - situation quantitative - analysis value of the mine.

[0065] In this embodiment, taking a non - coal mine as an example, the mine includes multiple safety - situation quantitative - analysis areas, that is, areas to be subjected to safety - situation quantitative analysis. The ternary risk - factor data collection module 100 in the system identifies and generates ternary risk factors for each safety - situation quantitative - analysis area in the mine, and respectively collects the ternary risk - factor data of each safety - situation quantitative - analysis area, which is used to analyze the safety early - warning situation of the mine. The ternary risk - factor data collection module 100 can comprehensively and accurately collect the ternary risk - factor data of each safety - situation quantitative - analysis area in the mine. This ensures the extensiveness of monitoring and the accuracy of data, providing a solid foundation for subsequent safety analysis and early - warning.

[0066] The three - element risk factor data includes mine facility element data, equipment element data, and operation activity element data. That is, the three elements include mine facility elements, equipment elements, and operation activity elements.

[0067] The regional safety degree calculation module 200 in the system can calculate the safety situation quantitative analysis value of each safety situation quantitative analysis area respectively according to the basic safety reference data and the three - element risk factor data of each safety situation quantitative analysis area. This data - based quantitative analysis method is more accurate than the traditional empirical analysis and can more truly reflect the safety conditions of each area. Among them, the basic safety reference data is the full - score quantitative value that the three - element risk factor data can reach in the best safety state under the current safety situation quantitative analysis system.

[0068] The mine safety degree calculation module 300 in the system calculates the safety situation quantitative analysis value of the mine according to formula (1), thus realizing the comprehensive analysis of the safety conditions of the entire mine. Formula (1): Among them, R represents the safety situation quantitative analysis value of the mine, m is the number of safety situation quantitative analysis areas, and R k is the safety situation quantitative analysis value of the k - th safety situation quantitative analysis area.

[0069] The mine safety early - warning module 400 in the system determines the early - warning level of the mine area to be monitored according to the safety situation quantitative analysis value of the mine. Thus, the mine safety early - warning module can determine the early - warning level of the mine according to the calculated safety situation quantitative analysis value. This helps to timely discover potential safety hazards and take corresponding prevention and control measures, thereby avoiding or reducing the occurrence of safety accidents.

[0070] It should be noted that the safety situation quantitative analysis area can be the mining area, office area, living area, warehouse storage area, and experimental and testing area.

[0071] In a specific embodiment, the mine includes m such safety situation quantitative analysis areas. Any two of the m safety situation quantitative analysis areas have no intersection area, and the union area of the m safety situation quantitative analysis areas is the mine.

[0072] In this embodiment, the mine includes m safety situation quantitative analysis areas. Any two of all the safety situation quantitative analysis areas have no intersection area and do not overlap. For example, if the mine U includes 4 safety situation quantitative analysis areas A, B, C, and D, then and A ∪ B ∪ C ∪ D = U.

[0073] Please refer to Figure 2, in a specific embodiment, the ternary risk factor data acquisition module 100 includes a ternary risk factor generation sub-module 101, a data acquisition sub-module 102, and a calculation sub-module 103.

[0074] The ternary risk factor generation sub-module 101 is used to generate a plurality of elements to be quantitatively analyzed corresponding to the ternary risk factors, and generate corresponding quantitative analysis options and corresponding preset option safety thresholds for each of the elements to be quantitatively analyzed; the quantitative analysis options include mine facility options, equipment options, and operation activity options.

[0075] The data acquisition sub-module 102 is used to collect the quantitative analysis option data corresponding to each of the quantitative analysis options, and obtain the safety situation quantitative analysis values of each of the quantitative analysis options according to the quantitative analysis option data and the preset option safety thresholds.

[0076] The element safety calculation sub-module 103 is used to obtain the safety situation quantitative analysis values of each of the elements to be quantitatively analyzed according to the safety situation quantitative analysis values of each of the quantitative analysis options.

[0077] In this embodiment, the ternary risk factor generation sub-module 101 can generate a plurality of elements to be quantitatively analyzed corresponding to the ternary risk factors, and generate corresponding quantitative analysis options and corresponding preset option safety thresholds for each of the elements to be quantitatively analyzed. Among them, the elements to be quantitatively analyzed include mine facility elements, equipment elements, and operation activity elements. Correspondingly, the quantitative analysis options include mine facility options, equipment options, and operation activity options. At the same time, the mine facility options, equipment options, and operation activity options each include a plurality of sub-options for quantitative analysis.

[0078] Exemplarily, the sub-options for quantitative analysis corresponding to the equipment options are shown in Table 1 as follows:

[0079] Table 1:

[0080]

[0081]

[0082] The data acquisition sub-module 102 can collect the quantitative analysis option data corresponding to the quantitative analysis options in each safety situation quantitative analysis area, and obtain the safety situation quantitative analysis values of each of the quantitative analysis options according to all the quantitative analysis option data and the preset option safety thresholds. Among them, the preset option safety thresholds are generally determined according to safety requirements and are used to judge the actual scores of each of the quantitative analysis options. The quantitative analysis options are scored according to the preset option safety thresholds on the basis of the basic safety reference data.

[0083] The element safety calculation sub-module 103 can calculate based on the safety situation quantification analysis values of each option to be quantified and analyzed, and obtain the safety situation quantification analysis values of each element to be quantified and analyzed.

[0084] It should be noted that the data of the options to be quantified and analyzed include: mine facility option data, equipment option data, and operation activity option data; the mine facility option data includes: mine facility design data, mine facility construction data, and mine facility maintenance data; the equipment option data includes: equipment selection data, equipment procurement data, equipment usage data, and equipment maintenance data; the operation activity option data includes: the working status data, physical health data, and operation training data of the operation object before the operation, the operation data of the operation object during the operation, and the status data of the operation object after the operation.

[0085] Taking the mine facility monitoring data as an example, the mine facility planning data includes geological exploration data before mine exploitation, mine design planning drawings, exploitation plans, etc. These data help to understand the overall layout of the mine, geological conditions, and the expected exploitation path, etc.

[0086] The mine facility construction data includes progress records, quality inspection reports, construction logs, etc. during the construction process. These data can reflect the construction quality and progress of the mine facilities, and ensure that the facilities are constructed according to the design requirements.

[0087] The mine facility maintenance data includes regular maintenance records, maintenance reports, replaced part records, etc. of the facilities. These data help to track the maintenance situation of the facilities, and timely discover and repair potential safety hazards.

[0088] Taking the equipment detection data as an example, the equipment procurement data includes procurement quality data; the equipment usage data includes data such as vehicle collisions, flat tires, vehicle impacts, module failures, brake system failures, fatigue of vehicle structural parts, cable leakage (high voltage), leakage of the scraper loader outer shell (high voltage), fires, etc.

[0089] Taking the operation object operation monitoring data as an example, the working status data of the operation object before the operation includes data such as the attendance records and mental state evaluations of miners. These data help to understand the preparation situation of miners before the operation, and ensure that miners can work with a good state.

[0090] The physical health data includes physical examination reports, health status monitoring data, etc. These data reflect the physical conditions of miners, and help to prevent the occurrence of occupational diseases and work-related accidents.

[0091] The operation training data includes training records, skill assessment scores, etc. These data record the situation of miners receiving training and skill improvement, and help to ensure that miners have the necessary operation skills and safety knowledge.

[0092] Please refer to Figure 3 , in a specific embodiment, the regional safety degree calculation module 200 includes a reference data generation sub-module 201, a first calculation sub-module 202, and a second calculation sub-module 203.

[0093] The first calculation sub-module 202 is configured to obtain the safety situation quantification analysis values of each sub-region in each safety situation quantification analysis area according to the safety situation quantification analysis values of each element to be quantified and analyzed;

[0094] The second calculation sub-module 203 is configured to calculate the safety situation quantification analysis values of each safety situation quantification analysis area according to the basic safety reference data and the safety situation quantification analysis values of each sub-region.

[0095] In this embodiment, the first calculation sub-module 202 obtains the safety situation quantification analysis values of each sub-region in each safety situation quantification analysis area according to the safety situation quantification analysis values of each element to be quantified and analyzed.

[0096] The first calculation sub-module 202 realizes the refined analysis of the safety of the monitored sub-regions for each element to be quantified and analyzed. By subdividing the analysis unit, the safety risk points in the sub-region can be captured more accurately, improving the accuracy and pertinence of the quantification analysis.

[0097] After obtaining the safety situation quantification analysis values of each sub-region, the second calculation sub-module further calculates the safety situation quantification analysis values of each safety situation quantification analysis area based on the basic safety reference data. This hierarchical analysis method helps to grasp the safety status of the safety situation quantification analysis area as a whole, and at the same time can reflect the influence degree of different sub-regions on the overall safety. Therefore, after obtaining the safety situation quantification analysis values of each sub-region, the warning levels of each monitored sub-region can also be matched according to the safety situation quantification analysis values of each sub-region to take corresponding warning measures.

[0098] It should be noted that each safety situation quantification analysis area respectively includes a plurality of sub-regions, and all sub-regions in each safety situation quantification analysis area also follow the independence principle, that is, for each safety situation quantification analysis area, there is no intersection area between any two sub-regions among all sub-regions of a safety situation quantification analysis area.

[0099] In a specific embodiment, the element safety calculation sub-module 103 is further configured to calculate the safety situation quantification analysis value corresponding to the ternary risk element data according to the following formulas (2), (3), and (4);

[0100] F = ∑αf i (2)

[0101] Among them, f i is the quantitative analysis value of the safety situation of the i-th mine facility option, F is the quantitative analysis value of the safety situation corresponding to the mine facility element data, and α is the first coefficient;

[0102] E = ∑βe j (3)

[0103] Among them, e j is the quantitative analysis value of the safety situation of the j-th equipment option, E is the quantitative analysis value of the safety situation corresponding to the equipment element data, and β is the second coefficient;

[0104] H = ∑θh q (4)

[0105] Among them, h q is the quantitative analysis value of the safety situation of the q-th operation activity option, H is the quantitative analysis value of the safety situation corresponding to the operation activity element data, and θ is the third coefficient;

[0106] The first calculation sub-module 202 is further configured to calculate the quantitative analysis value of the safety situation of the sub-region in each of the safety situation quantitative analysis regions according to the following formula (5);

[0107] A d = γ1F d + γ2E d + γ3H d (5)

[0108] Among them, A d represents the quantitative analysis value of the safety situation of the d-th sub-region, γ1 represents the first weighting coefficient, γ2 represents the second weighting coefficient, and γ3 represents the third weighting coefficient.

[0109] In this embodiment, the element safety calculation sub-module 103 calculates according to the quantitative analysis value of the safety situation of the mine facility option to obtain the quantitative analysis value of the safety situation corresponding to the mine facility element data in each sub-region; calculates according to the quantitative analysis value of the safety situation of the equipment option to obtain the quantitative analysis value of the safety situation corresponding to the equipment element data in each sub-region; calculates according to the quantitative analysis value of the safety situation of the operation activity option to obtain the quantitative analysis value of the safety situation corresponding to the operation activity element data in each sub-region.

[0110] Specifically, the element safety calculation sub-module 103 calculates the quantitative analysis value of the safety situation corresponding to the ternary risk element data according to formulas (2), (3) and (4) respectively.

[0111] Among them, formula (2): F = ∑αf i , in the formula, f i$Q_i$ is the quantitative analysis value of the safety situation for the $i$-th mine facility option, $F$ is the quantitative analysis value of the safety situation corresponding to the mine facility element data, and $\alpha$ is the first coefficient.

[0112] Formula (3): $E = \sum_{j}\beta f_j$ j , where $f_j$ j is the quantitative analysis value of the safety situation for the $j$-th equipment option, $E$ is the quantitative analysis value of the safety situation corresponding to the equipment element data, and $\beta$ is the second coefficient.

[0113] Formula (4): $H = \sum_{q}\theta f_q$ q , where $f_q$ q is the quantitative analysis value of the safety situation for the $q$-th operation activity option, $H$ is the quantitative analysis value of the safety situation corresponding to the operation activity element data, and $\theta$ is the third coefficient.

[0114] Furthermore, the first calculation sub-module 202 performs weighted calculation based on the quantitative analysis values of the safety situations corresponding to the ternary risk element data to obtain the quantitative analysis values of the safety situations for the sub-regions in each safety situation quantitative analysis region.

[0115] Specifically, according to Formula (5): $A$ d $=\gamma_1F$ d $+\gamma_2E$ d $+\gamma_3H$ d is calculated, where $A$ d represents the quantitative analysis value of the safety situation for the $d$-th sub-region, $\gamma_1$ represents the first weighting coefficient, $\gamma_2$ represents the second weighting coefficient, $\gamma_3$ represents the third weighting coefficient, $F$ d is the quantitative analysis value of the safety situation corresponding to the mine facility element data in the $d$-th sub-region, $E$ d is the quantitative analysis value of the safety situation corresponding to the equipment element data in the $d$-th sub-region, and $H$ d is the quantitative analysis value of the safety situation corresponding to the operation activity element data in the $d$-th sub-region.

[0116] Please refer to again Figure 3 , in a specific embodiment, the reference data generation sub-module 201 is configured to perform assignment processing on each option to be quantitatively analyzed according to a preset assignment algorithm to obtain the basic safety reference data;

[0117] The second calculation sub-module 203 is configured to calculate the quantitative analysis values of the safety situations for each of the safety situation quantitative analysis regions according to the following formula (6);

[0118]

[0119] where $R$ k represents the quantitative analysis value of the safety situation for the $k$-th safety situation quantitative analysis region, represents the security situation quantification analysis value of the d-th sub-region in the k-th security situation quantification analysis region, and M is the basic security reference data.

[0120] In this embodiment, the reference data generation sub-module 201 performs assignment processing on each option to be quantified and analyzed according to a preset assignment algorithm, and an example of the assignment is shown in Table 1. Further, the sum of the assignments corresponding to the same element is the basic security reference data. For example, the sum of all assignments corresponding to the mine facility option is the basic security reference data.

[0121] The second calculation sub-module 203 calculates the security situation quantification analysis value of each security situation quantification analysis region according to the security situation quantification analysis value of each sub-region. Specifically, formula (6): where R k represents the security situation quantification analysis value of the k-th security situation quantification analysis region, represents the security situation quantification analysis value of the d-th sub-region in the k-th security situation quantification analysis region, and M is the basic security reference data.

[0122] Please refer to Figure 4 , in a specific embodiment, the mine safety warning module 400 includes a matching sub-module 401, and the matching sub-module 401 is used to match the target mine warning classification data range from multiple mine warning classification data ranges according to the security situation quantification analysis value of the mine, and determine the warning level of the mine according to the target mine warning classification data range.

[0123] In this embodiment, the matching sub-module 401 matches the target mine warning classification data range corresponding to the security situation quantification analysis value of the mine from multiple mine warning classification data ranges, so as to determine the warning level of the mine according to the target mine warning classification data range.

[0124] Demonstratively, an example of the mine warning classification data range and its corresponding warning level is shown in Table 2:

[0125] Table 2:

[0126]

[0127] For example, if the security situation quantification analysis value of the mine is 0.78, referring to Table 2, it can be seen that the matched target mine warning classification data range is 0.7 ≤ R < 0.8, that is, the warning level of this mine is a third-level warning, and it is necessary to consider setting goals, establishing operating procedures, strengthening training and communication for risk control.

[0128] In a specific embodiment, the matching sub-module 401 is further configured to match a corresponding target sub-region warning classification data range from multiple sub-region warning classification data ranges according to the security situation quantitative analysis value of the d-th sub-region, and determine the warning level of the d-th sub-region according to the target sub-region warning classification data range.

[0129] In this embodiment, the matching sub-module 401 also matches the target sub-region warning classification data range corresponding to the security situation quantitative analysis value of the d-th monitoring sub-region from multiple sub-region warning classification data ranges, and determines the warning level of the d-th monitoring sub-region according to the target sub-region warning classification data range.

[0130] Please refer to again Figure 4 , in a specific embodiment, the mine safety warning module 400 further includes a range determination sub-module 402, and the range determination sub-module 402 is further configured to determine each sub-region warning classification data range according to the basic safety reference data and multiple preset classification multiples;

[0131] Among them, the sub-region warning classification data range includes a first warning classification data range, a second warning classification data range, a third warning classification data range, and a fourth warning classification data range. The first warning classification data range is A d < 1.1M, the second warning classification data range is 1.1M ≤ A d < 1.6M, the third warning classification data range is 1.6M ≤ A d < 2M, the fourth warning classification data range is 2M ≤ A d < 2.5M, A d is the security situation quantitative analysis value of the d-th sub-region, and M is the basic safety reference data.

[0132] In this embodiment, the range determination sub-module 402 determines each sub-region warning classification data range according to the basic safety reference data and multiple preset classification multiples.

[0133] Exemplarily, if there are a first warning classification data range, a second warning classification data range, a third warning classification data range, and a fourth warning classification data range, for the first warning classification data range, the preset classification multiple is set to 1.1, then the first warning classification data range is A d < 1.1M; for the second warning classification data range, the preset classification multiple is set to 1.6, then the second warning classification data range is 1.1M ≤ A d < 1.6M; for the third warning classification data range, the preset classification multiple is set to 2, then the third warning classification data range is 1.6M ≤ A d<2M; For the fourth warning classification data range, the preset classification multiple is set to 2.5, so the fourth warning classification data range is 2M ≤ A d <2.5M. At the same time, there are corresponding warning measures for different regional warning classification data ranges. Different regional warning classification data ranges and their corresponding warning measures constitute warning rules. An example of the warning rules for sub-regions is shown in Table 3.

[0134]

[0135] By performing quantitative safety situation analysis on sub-regions, quantitative safety situation analysis regions, and the entire mine based on triple risk factor data, the safety analysis of multiple sub-regions can be processed hierarchically and in parallel. Then, the quantitative safety situation analysis values of the region and the mine can be obtained by summarization, as well as warnings for sub-regions and the mine can be issued, improving the efficiency of quantitative safety situation analysis and warning, and enabling the system to respond more quickly to safety analysis requirements.

[0136] The non-coal mine safety warning system based on triple risk factor data proposed in this embodiment includes: a triple risk factor data acquisition module, which is used to identify and generate triple risk factors for each quantitative safety situation analysis region in the mine and collect triple risk factor data. The triple risk factor data includes mine facility factor data, equipment factor data, and operation activity factor data; a regional safety degree calculation module, which is used to obtain the quantitative safety situation analysis value of each quantitative safety situation analysis region according to the basic safety reference data and the triple risk factor data of each quantitative safety situation analysis region; a mine safety degree calculation module, which is used to calculate according to the formula: Calculate the quantitative safety situation analysis value of the mine; where R represents the quantitative safety situation analysis value of the mine, m is the number of quantitative safety situation analysis regions, and R k Is the quantitative safety situation analysis value of the kth quantitative safety situation analysis region; a mine safety warning module, which is used to determine the warning level of the mine according to the quantitative safety situation analysis value of the mine. In this way, by automatically collecting triple factor risk data of each quantitative safety situation analysis region in the mine, calculating the corresponding quantitative safety situation analysis value, and further matching the warning level of the mine according to the quantitative safety situation analysis value, the warning accuracy of the mine can be improved, which helps to carry out safety prevention and control in a timely manner, thereby ensuring the long-term stable operation of the mine.

[0137] In all the examples shown and described here, any specific value should be interpreted as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0138] It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it is not necessary to further define and explain it in subsequent figures.

[0139] The embodiments described above merely represent several implementation manners of the present invention, and their descriptions are relatively specific and detailed, but should not be construed as limiting the scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several variations and improvements can still be made, and these all belong to the protection scope of the present invention.

Claims

1. A non-coal mine safety early warning system based on ternary risk factor data, characterized in that: The system includes: a ternary risk factor data acquisition module, a regional safety calculation module, a mine safety calculation module and a mine safety early warning module; The ternary risk factor data collection module is used to identify and generate ternary risk factors for each safety situation quantitative analysis area in the mine, and collect ternary risk factor data, wherein the ternary risk factor data includes mine facility factor data, equipment factor data and operation activity factor data; The regional safety calculation module is used to obtain the safety situation quantitative analysis value of each safety situation quantitative analysis area according to the basic safety reference data and the ternary risk factor data of each safety situation quantitative analysis area; The mine safety calculation module is used to calculate the safety situation quantitative analysis value of the mine according to formula (1); Where R represents the safety situation quantitative analysis value of the mine, m is the number of safety situation quantitative analysis areas, and R k is the security situation quantitative analysis value of the kth security situation quantitative analysis area; The mine safety early warning module is used to determine the early warning level of the mine according to the quantitative analysis value of the safety situation of the mine.

2. The non-coal mine safety early warning system based on ternary risk factor data according to claim 1 is characterized in that: The ternary risk factor data collection module includes a ternary risk factor generation submodule, a data collection submodule and a calculation submodule; The ternary risk factor generation submodule is used to generate a plurality of to-be-quantified analysis factors corresponding to the ternary risk factors, and to generate to-be-quantified analysis options corresponding to each of the to-be-quantified analysis factors and corresponding preset option safety thresholds; The options to be quantified and analyzed include mining facility options, equipment options and operating activity options; The data collection submodule is used to collect the to-be-quantified analysis option data corresponding to each of the to-be-quantified analysis options, and obtain the safety situation quantitative analysis value of each of the to-be-quantified analysis options according to the to-be-quantified analysis option data and the preset option safety threshold; The element safety calculation submodule is used to obtain the safety situation quantitative analysis value of each element to be quantified according to the safety situation quantitative analysis value of each option to be quantified.

3. The non-coal mine safety early warning system based on ternary risk factor data according to claim 2 is characterized in that: The option data to be quantified and analyzed include: mining facility option data, equipment option data and operation activity option data; The mining facility option data includes: mining facility design data, mining facility construction data and mining facility maintenance data; The equipment option data includes: equipment selection data, equipment procurement data, equipment usage data and equipment maintenance data; The operation activity option data includes: the operation status data, physical health data and operation training data of the operation object before the operation, the operation data of the operation object during the operation and the status data of the operation object after the operation.

4. The non-coal mine safety early warning system based on ternary risk factor data according to claim 2 is characterized in that: The regional safety calculation module includes a first calculation submodule and a second calculation submodule; The first calculation submodule is used to obtain the security situation quantitative analysis value of each sub-area in each security situation quantitative analysis area according to the security situation quantitative analysis value of each element to be quantified and analyzed; The second calculation submodule is used to calculate the security situation quantitative analysis value of each of the security situation quantitative analysis areas according to the basic security reference data and the security situation quantitative analysis value of each of the sub-areas.

5. The non-coal mine safety early warning system based on ternary risk factor data according to claim 4 is characterized in that: The element safety calculation submodule is further used to calculate the safety situation quantitative analysis value corresponding to the ternary risk element data according to the following formulas (2), (3) and (4); F=∑αf i (2) Among them, f i is the safety situation quantitative analysis value of the i-th mining facility option, F is the safety situation quantitative analysis value corresponding to the mining facility element data, and α is the first coefficient; E=∑βe j (3) Among them, e j is the safety situation quantitative analysis value of the jth equipment option, E is the safety situation quantitative analysis value corresponding to the equipment element data, and β is the second coefficient; H=∑θh q (4) Among them, h q is the safety situation quantitative analysis value of the qth operation activity option, H is the safety situation quantitative analysis value corresponding to the operation activity element data, and θ is the third coefficient; The first calculation submodule is further used to calculate the security situation quantitative analysis value of the sub-area in each of the security situation quantitative analysis areas according to the following formula (5); A d =γ1F d +γ2E d +γ3H d (5) Among them, A d represents the quantitative analysis value of the security situation of the d-th sub-area, γ1 represents the first weighting coefficient, γ2 represents the second weighting coefficient, and γ3 represents the third weighting coefficient.

6. The non-coal mine safety early warning system based on ternary risk factor data according to claim 4 is characterized in that: The regional safety calculation module also includes a reference data generation submodule; The reference data generation submodule is used to perform value assignment processing on each to-be-quantified analysis option according to a preset value assignment algorithm to obtain the basic safety reference data; The second calculation submodule is used to calculate the security situation quantitative analysis value of each security situation quantitative analysis area according to the following formula (6); Among them, R k represents the security situation quantitative analysis value of the k-th security situation quantitative analysis area, represents the security situation quantitative analysis value of the dth sub-area in the kth security situation quantitative analysis area, and M is the basic security reference data.

7. The non-coal mine safety early warning system based on ternary risk factor data according to claim 1 is characterized in that: The mine safety warning module includes a matching submodule, which is used to match a target mine warning classification data range from multiple mine warning classification data ranges according to the quantitative analysis value of the mine's safety situation, and determine the warning level of the mine according to the target mine warning classification data range.

8. The non-coal mine safety early warning system based on ternary risk factor data according to claim 7 is characterized in that: The matching submodule is also used to match the corresponding target sub-region warning classification data range from multiple sub-region warning classification data ranges according to the quantitative analysis value of the security situation of the d-th sub-region, and determine the warning level of the d-th sub-region according to the target sub-region warning classification data range.

9. The non-coal mine safety early warning system based on ternary risk factor data according to claim 8 is characterized in that: The mine safety warning module also includes a range determination submodule, which is further used to determine the warning classification data range of each sub-area according to the basic safety reference data and a plurality of preset classification multiples; The sub-regional early warning classification data range includes a first early warning classification data range, a second early warning classification data range, a third early warning classification data range and a fourth early warning classification data range. The first early warning classification data range is A d <1.1M, the second warning classification data range is 1.1M≤A d <1.6M, the third warning classification data range is 1.6M≤A d <2M, the fourth warning level data range is 2M≤A d <2.5M, A d is the quantitative analysis value of the security situation of the d-th sub-area, and M is the basic security reference data.

10. The non-coal mine safety early warning system based on ternary risk factor data according to claim 1 is characterized in that: The mine includes m safety situation quantitative analysis areas, any two of the m safety situation quantitative analysis areas do not have an intersection area, and a union area of ​​the m safety situation quantitative analysis areas is the mine.

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