Safety monitoring method and device for roof of fully mechanized coal mining face

Abstract

The invention provides a safety monitoring method and device for a fully mechanized coal mining face roof. The method comprises the steps that a first data set related to a hydraulic support of the fully mechanized coal mining face is obtained, wherein the first data set at least comprises the initial supporting force, the resistance increasing ratio, the weighting step pitch and the safety valve opening proportion of the hydraulic support; micro-seismic of the fully mechanized coal mining face is monitored, a second data set is obtained, and the second data set comprises daily micro-seismic event maximum energy, daily micro-seismic event total energy and daily micro-seismic event total energy increase; and according to the first data set and the second data set, carrying out disaster grade identification on the fully mechanized coal mining face roof so as to determine a target disaster grade of the fully mechanized coal mining face roof. Due to the fact that multiple evaluation indexes are adopted for evaluating and analyzing the roof disaster danger degree, and the adopted evaluation index reference values are all statistical data obtained based on the mining theory and mining practice, the analysis structure of the roof disaster danger degree is more scientific and accurate.

Description

Technical Field

[0001] The present application relates to the field of coal mine safety technology, and in particular to a method and device for safety monitoring of the roof of a fully mechanized mining face. Background Art

[0002] Among coal mine disasters, roof accidents are frequent accidents, both for production mines and infrastructure mines, and are extremely harmful to the safe production and construction of mines. In response to the increasing number of roof disasters, mine pressure monitoring systems or roof monitoring systems have gradually been more and more widely used. Summary of the invention

[0003] The purpose of this application is to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of this application is to propose a safety monitoring method for the roof of a comprehensive mining face to predict roof disasters in order to avoid roof disaster accidents and improve underground operation safety.

[0005] The second purpose of the present application is to provide a safety monitoring device for the roof of a fully mechanized mining face.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a safety monitoring method for the roof of a fully mechanized mining face, comprising:

[0010] Acquire a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set at least includes the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support;

[0011] Monitoring the microseismic events of the fully mechanized mining working face to obtain a second data set, wherein the second data set includes a maximum energy of a daily microseismic event, a total energy of a daily microseismic event, and an increase in the total energy of a daily microseismic event;

[0012] The disaster level of the roof of the fully mechanized mining face is identified based on the first data set and the second data set to determine the target disaster level of the roof of the fully mechanized mining face.

[0013] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a safety monitoring device for the roof of a fully mechanized mining face, comprising:

[0014] A first acquisition module is used to acquire a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set at least includes the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support;

[0015] A second acquisition module is used to monitor the microseismicity of the fully mechanized mining working face and acquire a second data set, wherein the second data set includes the maximum energy of daily microseismic events, the total energy of daily microseismic events, and the total energy increase of daily microseismic events;

[0016] An identification module is used to identify the disaster level of the roof of the comprehensive mining working face according to the first data set and the second data set to determine the target disaster level of the roof of the comprehensive mining working face.

[0017] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor; and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory, so that the processor can execute the safety monitoring method for the roof of the comprehensive mining working face described in the first aspect embodiment above.

[0018] To achieve the above-mentioned purpose, the fourth aspect of the present application proposes a computer-readable storage medium on which a computer program is stored, and the computer instructions are used to enable the computer to execute the safety monitoring method for the roof of the comprehensive mining working face described in the first aspect of the above-mentioned embodiment.

[0019] To achieve the above-mentioned purpose, the fifth embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the safety monitoring method for the roof of a comprehensive mining working face described in the first embodiment above.

[0020] The safety monitoring method and device for the roof of a comprehensive mining working face provided in the present application adopts multiple evaluation indicators to evaluate and analyze the degree of risk of roof disasters, and the adopted evaluation indicator benchmark values ​​are based on statistical data obtained from mining theory and mining practice. Therefore, the analysis structure of the degree of risk of roof disasters is more scientific and accurate.

[0021] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0023] Figure 1A schematic flow chart of a safety monitoring method for a fully mechanized mining face roof provided in an embodiment of the present application;

[0024] Figure 2 A schematic flow chart of another safety monitoring method for the roof of a fully mechanized mining face provided in an embodiment of the present application;

[0025] Figure 3 A schematic diagram of monitoring data of a hydraulic support provided in an embodiment of the present application;

[0026] Figure 4 A schematic structural diagram of a safety monitoring device for the roof of a fully mechanized mining face provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0028] Roof accidents are frequent accidents for both production mines and infrastructure mines, which are extremely harmful to the safe production and construction of mines. In response to the increasing number of roof disasters, mine pressure monitoring systems or roof monitoring systems have gradually been more and more widely used. Although the integration of coal mines has been strengthened in recent years, and the number of small coal mines without support or with poor support quality has rapidly decreased, the frequency of roof accidents remains high.

[0029] Roof monitoring work is forced to develop increasingly in a systematic and intensive manner, striving to achieve accurate prediction and prevention of roof disasters through large-scale, high-density, and high-digital monitoring. Although the existing technology directly monitors, predicts, and prevents the occurrence of roof disasters with excellent real-time performance, its accuracy is relatively poor. At present, roof accidents occur frequently, and roof disasters are still one of the main disasters in coal mine production.

[0030] The following describes the safety monitoring method and device for the roof of a comprehensive mining working face in an embodiment of the present application with reference to the accompanying drawings.

[0031] Figure 1 A schematic diagram of a safety monitoring method for a fully mechanized mining face roof provided in an embodiment of the present application. Figure 1 As shown, the safety monitoring of the roof of the fully mechanized mining face may include but is not limited to the following steps:

[0032] S101, obtaining a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set includes at least the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support.

[0033] In some embodiments, the initial support force p0 and the resistance increase ratio Δp in the first data set are b , pressure step distance P e The safety valve opening ratio k can be used as a hazard evaluation index for the roof of the fully mechanized mining face.

[0034] In some embodiments, the initial support force, resistance increase ratio and pressure step distance are all based on the hydraulic support frame shifting cycle of the comprehensive mining working face, and a mathematical model is established to calculate and obtain them.

[0035] In some embodiments, the opening ratio of the safety valve can be obtained according to the monitoring information provided by the monitoring instrument. Optionally, the monitoring instrument is a stress monitoring device installed on a hydraulic support of the fully mechanized mining working face.

[0036] In some embodiments, the total number of hydraulic supports on the fully mechanized mining working surface can be determined, and further, the target number of hydraulic supports to be selected can be determined according to the total number of hydraulic supports and the set ratio, and a hydraulic support set can be selected from the hydraulic supports on the fully mechanized mining working surface according to the target number. After the initial support force and the resistance increase ratio of each hydraulic support in the hydraulic support set are obtained, the initial support force and the resistance increase ratio of these hydraulic supports can be averaged to obtain the initial support force and the resistance increase ratio in the first data set.

[0037] In some embodiments, when calculating the initial support force and the increased resistance ratio, the number of hydraulic supports selected for the comprehensive mining working face is not less than 10% of the total number, and the initial support force and the increased resistance ratio included in the first data set are the average values ​​of the initial support force and the increased resistance ratio of each of the hydraulic supports selected of not less than 10%.

[0038] In some embodiments, when calculating the pressure step length, the number of periodic pressures of the selected comprehensive mining working face is no less than three, and the pressure step lengths corresponding to the selected periodic pressures are averaged to obtain the pressure step lengths included in the first data set.

[0039] In some embodiments, when calculating the opening ratio of the safety valve, the number of hydraulic supports selected in the comprehensive mining working face is not less than 10% of the total number.

[0040] S102, monitor the microseismic events of the fully mechanized mining face to obtain a second data set, wherein the second data set includes the maximum energy of daily microseismic events, the total energy of daily microseismic events, and the increase in the total energy of daily microseismic events.

[0041] In some embodiments, the microseismic monitoring system can collect multi-dimensional data, where the multi-dimensional data may include but is not limited to: daily total energy ∑E, single-day maximum energy E max, daily frequency N, daily total energy increase of microseismic events e, b value, A(B), η value, missing earthquake, Z-map value, mine earthquake activity S value, time series concentration, time and space diffusion, time information entropy. Combined with the statistical analysis of a large number of mines, considering the stability of each indicator value in the quantification process, it can be determined that the maximum energy of daily microseismic events E max , the total energy of daily microseismic events ∑E, and the total energy increase of daily microseismic events e, as the data in the second data set, are used as danger assessment indicators for the fully mechanized mining working face.

[0042] S103, identifying the disaster level of the roof of the fully mechanized mining face based on the first data set and the second data set to determine the target disaster level of the roof of the fully mechanized mining face.

[0043] In some embodiments, for any data combination in the first data set and the second data set, the determination conditions associated with different disaster levels corresponding to any data combination are obtained, and any data combination is compared with the determination conditions associated with different disaster levels to determine the target determination condition satisfied by any data combination, and any data combination includes data of at least one dimension in the set. Further, the disaster level associated with the target determination condition is determined as the candidate disaster level corresponding to any data combination, and the target disaster level of the roof of the fully mechanized mining face is determined according to the candidate disaster level corresponding to each data combination.

[0044] In some embodiments, the candidate disaster levels corresponding to each arbitrary data combination are compared, and the highest level of disaster level is selected as the target disaster level of the roof of the comprehensive mining working face.

[0045] In some embodiments, statistics are taken for the candidate disaster levels corresponding to each arbitrary data combination to obtain the number of data combinations for each disaster level; traversal is performed starting from the highest disaster level to determine whether the number of data combinations of the disaster level currently traversed is greater than or equal to a set number; in response to the number of data combinations of the disaster level currently traversed being greater than or equal to a set number, the disaster level currently traversed is used as the target disaster level. Optionally, when the disaster level corresponding to any two or more of the data combinations is dangerous, it can be determined that the disaster level of the roof of the comprehensive mining working face is dangerous. In the present application, the judgment of at least two data combinations is performed, and the two data combinations are mutually verified, thereby improving the recognition accuracy and reducing the probability of misjudgment.

[0046] In some embodiments, the importance of any data combination in terms of safety is obtained, and a comprehensive assessment is performed in combination with the candidate disaster level and importance corresponding to any data combination to determine the target disaster level of the roof of the fully-mechanized mining face. For example, a risk score is determined based on the candidate disaster level and importance corresponding to the data combination, and further, the target disaster level of the roof of the fully-mechanized mining face is determined based on the risk score.

[0047] In some embodiments, the candidate disaster levels of the statistical data combinations can be counted, and the target disaster level of the roof of the fully-mechanized mining face can be determined based on the statistical results combined with the importance of the array combination. For example, if the candidate disaster level corresponding to one of the mathematical combinations showing the importance in the statistical results is high, then the target disaster level of the roof of the fully-mechanized mining face is determined to be high.

[0048] In some embodiments, the determination conditions associated with different disaster levels include pre-calibrated evaluation indicators, which are obtained by analyzing and statistically analyzing mining data of N test fully mechanized mining working faces, where N is an integer greater than or equal to 2. In other words, the number of test fully mechanized mining working faces should be no less than two.

[0049] Optionally, the pre-calibrated reference indexes p1 and p2 corresponding to the initial support force p0, the resistance increase ratio Δp b The corresponding pre-calibrated benchmark indicators γ1 and γ2 are used to press the step length P e The corresponding pre-calibrated benchmark indicators P1 and P2, and the pre-calibrated benchmark indicators k1 and k2 corresponding to the safety valve opening ratio k. It can be understood that the values ​​of the above benchmark indicators p1 and p2, γ1 and γ2, P1 and P2, k1 and k2 are obtained by analyzing and statistically analyzing the mining data of N test fully mechanized mining faces.

[0050] Optionally, the maximum energy of daily microseismic events E max The corresponding pre-calibrated benchmark index E max1 and E max2 , the pre-calibrated benchmark indicators ∑E1 and ∑E2 corresponding to the total energy ∑E of daily microseismic events. It can be understood that the above benchmark indicators E max1 and E max2 The values ​​of , ∑E1 and ∑E2 are obtained by analyzing and statistically analyzing the mining data of N test fully mechanized mining faces.

[0051] The safety monitoring method for the comprehensive mining working face provided in the embodiment of the present application adopts multiple evaluation indicators to evaluate and analyze the degree of roof disaster risk, and the adopted evaluation indicator benchmark values ​​are based on statistical data obtained from mining theory and mining practice. Therefore, the analysis structure of the degree of roof disaster risk is more scientific and accurate.

[0052] Figure 2 A schematic flow chart of another safety monitoring method for the roof of a fully mechanized mining face provided in an embodiment of the present application. Figure 2 As shown, the safety monitoring of the roof of the fully mechanized mining face may include but is not limited to the following steps:

[0053] S201, obtain the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support of the fully mechanized mining working face.

[0054] S202, obtaining the imbalance of the front and rear columns of the hydraulic support, the spacing between the two safety valve opening supports, the time opening rate and the cycle opening rate.

[0055] S203, monitor the microseismic events in the fully mechanized mining face to obtain the maximum energy of daily microseismic events, the total energy of daily microseismic events and the total energy increase of daily microseismic events.

[0056] S204, based on the multi-dimensional data obtained in the above steps, the disaster level of the roof of the fully mechanized mining face is identified, and the target disaster level of the roof of the fully mechanized mining face is determined.

[0057] S205, generating early warning information of the roof of the fully mechanized mining face based on the target disaster level.

[0058] In some embodiments, the support warning indicators of the fully mechanized mining face can be divided into three categories: safe, relatively dangerous, and dangerous. Evaluation indicators are established, including the initial support force p0 of the support, the resistance increase ratio Δp b , pressure step distance P e And the safety valve opening ratio k.

[0059] In some embodiments, the initial support force, the resistance increase ratio and the pressure step distance are all obtained by establishing a mathematical model based on the frame moving cycle of the hydraulic support.

[0060] In some embodiments, the process of obtaining the drag increase ratio of the hydraulic support includes:

[0061] According to the end-of-cycle resistance and initial support force of the hydraulic support, combined with the cycle time and the rated working resistance of the hydraulic support, the resistance increase ratio of the hydraulic support is obtained. Optionally, the resistance increase ratio of the hydraulic support is obtained using the following formula:

[0062]

[0063] Among them, p m is the end-cycle resistance of the hydraulic support, p0 is the initial support force of the hydraulic support, T is the cycle time, p H It is the rated working resistance of the hydraulic support.

[0064] In some embodiments, the average value of the resistance at the end of each cycle of the hydraulic support and the mean square error of the resistance at the end of each cycle are obtained, and the average value and the mean square error of the resistance at the end of each cycle are summed to obtain the critical value of the pressure strength.

[0065] Optionally, the critical value of the pressure strength p t Use the following formula to obtain:

[0066]

[0067] in, The state is the average value of the resistance of the hydraulic support at the end of each cycle of the fully mechanized mining working face; σ p The mean square error of the end-of-cycle resistance values.

[0068] In response to the hydraulic support end cycle resistance being greater than the critical value of the pressure strength, the fully mechanized mining face periodic pressure is determined. The advancement distance of the fully mechanized mining face in the interval between the two periodic pressures is obtained, and the pressure step distance is obtained according to the advancement distance.

[0069] In some embodiments, the safety valve opening ratio k is obtained based on monitoring information provided by a monitoring instrument, and the monitoring instrument is a stress monitoring device installed on a hydraulic support of a fully mechanized mining working face.

[0070] In some embodiments, the pre-calibrated reference indicators corresponding to the initial support force p0 are p1 and p2, and the resistance increase ratio Δp b The corresponding pre-calibrated benchmark indicators are γ1 and γ2, which are used to press the step length P e The corresponding pre-calibrated benchmark indicators are P1 and P2, and the pre-calibrated benchmark indicators corresponding to the safe opening ratio k are k1 and k2. The values ​​of the above benchmark indicators p1 and p2, γ1 and γ2, P1 and P2, k1 and k2 are obtained by analyzing and statistically analyzing the mining data of the test fully mechanized mining face.

[0071] In some embodiments, the first data set may also include the imbalance between the front and rear columns of the hydraulic support and the spacing between the two safety valve opening supports, the time opening rate and the cycle opening rate.

[0072] In some embodiments, the process of obtaining the imbalance of the front and rear columns of the hydraulic support includes:

[0073] Determine the front column working resistance, rear column working resistance and rated working resistance of the hydraulic support, and obtain the front and rear column imbalance of the hydraulic support based on the front column working resistance, rear column working resistance and rated working resistance. Optionally, the front and rear column imbalance of the hydraulic support is obtained using the following formula:

[0074]

[0075] Among them, p 前 The front column of the hydraulic support acts as resistance, p 后 is the working resistance of the rear column of the hydraulic support, p H It is the rated working resistance of the hydraulic support.

[0076] In some embodiments, the front and rear column imbalance dp is obtained based on the front column resistance and the rear column working resistance provided by the monitoring instrument, combined with the rated working resistance. It can be understood that the monitoring instrument is a stress monitoring device installed on the hydraulic support of the fully mechanized mining working face.

[0077] In some embodiments, the pre-calibrated benchmark indicators corresponding to the imbalance of the front and rear columns are α and β. It can be understood that the above benchmark indicators α and β are obtained by analyzing and statistically analyzing the mining data of the test comprehensive mining working face.

[0078] In some embodiments, the time opening rate is the percentage of the time that the safety valve is open and overflowing in one opening cycle to the total cycle time; the cycle opening rate is the percentage of the cycle in which the safety valve overflows to the total number of observed cycles.

[0079] In some embodiments, any two safety valve opening brackets are spaced apart by a distance K d , time opening rate K t and cycle opening rate K c It is obtained based on the monitoring information provided by the monitoring instrument, which is a stress monitoring device installed on the hydraulic support of the comprehensive mining working face.

[0080] In some embodiments, the pre-calibrated reference index corresponding to the distance between any two safety valve opening brackets is K d1 and K d2 In some embodiments, the pre-calibrated benchmark indicator corresponding to the time opening rate is K t1 and K t2 , the pre-calibrated benchmark index corresponding to the cycle opening rate is K c1 and K c2 . Optionally, K d1 and K d2 , K t1 and K t2 , K c1 and K c2 All of them are obtained by analyzing and statistically analyzing the mining data of the test fully mechanized mining face.

[0081] In some embodiments, determination conditions for different data in the first data set are generated based on benchmark indicators corresponding to the above-mentioned data, and further, roof disaster levels are identified based on the determination conditions.

[0082] For example, the determination conditions corresponding to the initial support force, the resistance increase ratio, the pressure step distance and the safety valve opening ratio are shown in Table 1 below:

[0083] Table 1

[0084]

[0085] For example, the determination conditions corresponding to the imbalance of the front and rear columns of the hydraulic support are shown in Table 2 below:

[0086] Table 2

[0087]

[0088]

[0089] For example, the judgment conditions corresponding to the spacing distance, time opening rate, and cycle opening rate of any two safety valves of the hydraulic support are shown in Table 3 below:

[0090] Table 3

[0091]

[0092] When any data in the first data set determines that the corresponding disaster level is dangerous based on the preset judgment conditions, it can be determined that the disaster level of the roof of the comprehensive mining working face is dangerous.

[0093] In some embodiments, the microseismic warning level of the fully mechanized mining face can be divided into four categories: no danger, weak danger, medium danger and strong danger. The data collected by the microseismic monitoring system include the daily total energy ∑E, the single-day maximum energy E max , daily frequency N, daily total energy increase of microseismic events e, b value, A(B), η value, missing earthquakes, Z-map value, mine earthquake activity S value, time series concentration, spatiotemporal diffusion, and time information entropy; combined with the statistical analysis of a large number of mines, considering the stability of each indicator value in the quantification process, the maximum energy of daily microseismic events E was finally determined. max , the total energy of daily microseismic events ∑E, and the total energy increase e of daily microseismic events are used as the data in the second data set to serve as roof hazard evaluation indicators.

[0094] In some embodiments, the pre-calibrated benchmark index corresponding to the maximum energy of daily microseismic events is E max1 and E max2 The pre-calibrated benchmark indicators corresponding to the daily microseismic event energy are ∑E1 and ∑E2.

[0095] For example, the determination conditions corresponding to the maximum energy of daily microseismic events, the total energy of daily microseismic events, and the total energy increase of daily microseismic events are shown in Table 4 below:

[0096] Table 4

[0097]

[0098]

[0099] In some embodiments, the number of test comprehensive mining working faces should be no less than two.

[0100] In some embodiments, when calculating the opening ratio of the safety valve, the number of hydraulic supports selected for the comprehensive mining working face is not less than 10% of the total number.

[0101] In some embodiments, when calculating the initial support force, increased resistance ratio and imbalance between the front and rear columns, the number of hydraulic supports selected for the comprehensive mining working face is no less than 10% of the total number, and the initial support force, increased resistance ratio and imbalance between the front and rear columns obtained in the first data set are average values.

[0102] In some embodiments, when calculating the pressure step distance, the selected comprehensive mining working face has no less than three periodic pressure steps, and the pressure step distance obtained in the first data set is an average value.

[0103] In some embodiments, after determining the target disaster level, early warning information of the roof of the comprehensive mining working face can be generated according to the target disaster level. In some embodiments, the data combination associated with the target disaster level and the target judgment condition satisfied by the data combination can be used to generate early warning information of the roof of the comprehensive mining working face. Optionally, the early warning information includes: target disaster level, disaster type, maintenance suggestions, etc. Optionally, the disaster type may include but is not limited to: frame crushing, roof cutting, roof collapse, and roof pressure impact, etc. In the present application, the specific type of roof disaster can be identified by the target judgment conditions satisfied, and the disaster type can be effectively distinguished, so as to guide the specification of better maintenance suggestions and improve safety.

[0104] For example, the roof disaster levels corresponding to the two evaluation indicators of initial support force p0 and safety valve opening ratio k are both dangerous, and the pressure step distance P e The roof disaster level corresponding to the evaluation index is relatively dangerous, only the resistance increase ratio Δp b The corresponding roof disaster level is safe. Based on this, it can be concluded that the roof disaster level of the fully-mechanized mining face in this embodiment is dangerous. Combined with the specific evaluation index values, it can be intuitively judged that the roof disaster is specifically manifested as frame crushing and roof collapse. Therefore, attention should be paid to the maintenance of the integrity of the fully-mechanized mining face roof or top coal, and the initial support force p0 of the hydraulic support should be increased.

[0105] In some embodiments, after the warning information of the roof of the comprehensive mining working face is generated, the warning information can be sent to the equipment of relevant personnel and / or the control center.

[0106] In some embodiments, basic information of the mine is obtained, and optionally, the basic information includes at least the working face advancement speed, the overlying rock stratification, the rock stratum properties and thickness. Further, according to the first data set and the second data set, combined with the basic information, the disaster level of the fully mechanized mining working face roof is identified to determine the target disaster level of the fully mechanized mining working face roof.

[0107] The safety monitoring method for the fully mechanized mining face provided in the embodiment of the present application uses a plurality of evaluation indicators to evaluate and analyze the danger level of roof disasters, and the evaluation indicator benchmark values ​​used are all based on the statistical data obtained in mining theory and mining practice. Therefore, the analysis structure of the danger level of roof disasters is more scientific and accurate. Furthermore, since the evaluation indicators are selected in a targeted manner according to the specific division of roof disasters, the present application can, on the basis of early warning, guide the relevant mine production technicians to take timely and effective measures to eliminate dangers according to the specific disaster types reflected by different evaluation indicators, so as to avoid the losses and harm caused by roof disasters.

[0108] In order to make the evaluation indicators of this application easier to understand, you can combine Figure 3 The evaluation indicators are further explained in detail. Figure 3 The working resistance change curve of a hydraulic support during the frame shifting period is drawn according to the data monitored by the monitoring instrument in the embodiment. The reference numerals in the figure are as follows: 1-vertical axis (working resistance / MPa), 2-horizontal axis (time / s), 3-working resistance change curve of the hydraulic support, 4-frame shifting period, 5-initial support force point, 6-final resistance point.

[0109] To make the purpose, technical solution and advantages of the present invention clearer, the implementation mode of the present application will be described in further detail below. In this embodiment, a coal mining face is a fully mechanized top coal caving face.

[0110] In this embodiment, a total of 100 hydraulic supports are installed in the fully mechanized mining face, with a rated working resistance of 40 MPa. A monitoring instrument is arranged on every 5 supports to monitor the working resistance of the hydraulic supports in real time during the moving of the supports, and a total of 20 supports are monitored. Optionally, the number of monitoring cycles can be configured to be 60.

[0111] according to Figure 3 The monitoring cycle data shown in the figure can determine that the average end resistance of each cycle of the 20 monitoring hydraulic supports is 26MPa, the mean square error of the average is 2.6MPa, and the critical value of the pressure strength is 28.6MPa. According to the critical value of the pressure strength, after 60 cycles, the fully mechanized mining face has advanced 60m in total, and there have been 3 cycles of pressure, with an average pressure step of 18m.

[0112] In this embodiment, there are three test working surfaces used to calculate the benchmark index values. The initial support force p0, the resistance increase ratio Δp b , pressure step distance P e The benchmark index values ​​of the safety valve opening ratio k are shown in Table 5 below:

[0113] Table 5

[0114]

[0115]

[0116] In this embodiment, based on the monitored cycle data, the average initial support force of each cycle of 20 monitored hydraulic supports is calculated to be 16.8 MPa.

[0117] In this embodiment, according to the formula Based on the monitored cycle data, the average value of the average resistance increase ratio of each cycle of the 20 monitored hydraulic supports was calculated to be 8%.

[0118] In this embodiment, according to the monitored cycle data, the opening ratios k of the safety valves of the 20 monitored hydraulic supports are counted, and the average opening ratio of each cycle of each support is 19%.

[0119] The calculated initial support force p0 and resistance increase ratio Δp b , pressure step distance P e and the safety valve opening ratio k, compared with the statistically obtained benchmark values ​​of various evaluation indicators, we can get: p2>p0,Δp b <γ1,P1<P e ≤P2,k>k2.

[0120] According to the evaluation criteria table 1, the roof disaster levels corresponding to the two evaluation indicators of initial support force p0 and safety valve opening ratio k are both dangerous, and the pressure step distance P e The roof disaster level corresponding to the evaluation index is relatively dangerous, only the resistance increase ratio Δp b The corresponding roof disaster level is safe. Based on this, it can be concluded that the roof disaster level of the fully mechanized mining working face in this embodiment is dangerous.

[0121] Combined with the specific evaluation index values, it can be intuitively judged that the roof disasters are specifically manifested as support crushing and roof falling. Therefore, attention should be paid to the maintenance of the integrity of the roof or top coal of the fully mechanized mining working face, and the initial support force p0 of the hydraulic support should be increased.

[0122] Figure 4 This is a schematic diagram of the structure of a safety monitoring device for the roof of a fully mechanized mining face provided in an embodiment of the present application. Figure 4As shown, the safety monitoring device 400 for the roof of the fully mechanized mining face includes: a first acquisition module 401 , a second acquisition module 402 and an identification module 403 .

[0123] The first acquisition module 401 is used to acquire a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set at least includes the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support;

[0124] The second acquisition module 402 is used to monitor the microseismicity of the fully mechanized mining face and acquire a second data set, wherein the second data set includes the maximum energy of daily microseismic events, the total energy of daily microseismic events, and the total energy increase of daily microseismic events;

[0125] The identification module 403 is used to identify the disaster level of the roof of the fully mechanized mining face according to the first data set and the second data set, so as to determine the target disaster level of the roof of the fully mechanized mining face.

[0126] In some embodiments, the first data set also includes: the imbalance of the front and rear columns of the hydraulic support, the distance between the two safety valve opening supports, the time opening rate and the cycle opening rate, wherein the time opening rate is the percentage of the time of the safety valve opening overflow in an opening cycle to the total cycle time; the cycle opening rate is the percentage of the cycle of the safety valve overflow to the total number of observed cycles.

[0127] In some embodiments, the first acquisition module 401 is further used to:

[0128] Obtaining the imbalance of the front and rear columns of the hydraulic support according to the working resistance of the front column, the working resistance of the rear column and the rated working resistance of the hydraulic support;

[0129] The imbalance of the front and rear columns of the hydraulic support is obtained by the following formula:

[0130]

[0131] Among them, p 前 The front column acts as resistance, p 后 is the working resistance of the rear column, p H is the rated working resistance.

[0132] In some embodiments, the first acquisition module 401 is further used to:

[0133] According to the end-of-cycle resistance and initial support force of the hydraulic support, combined with the cycle time and the rated working resistance of the hydraulic support, the resistance increase ratio is obtained;

[0134] The drag increase ratio is obtained by the following formula:

[0135]

[0136] Among them, p m is the end-cycle resistance of the hydraulic support, p0 is the initial support force of the hydraulic support, T is the cycle time, p H is the rated working resistance of the hydraulic support.

[0137] In some embodiments, the first acquisition module 401 is further used to:

[0138] Obtaining an average value of the resistance at the end of each cycle of the hydraulic support and a mean square error of the average value of the resistance at the end of each cycle, summing the average value of the resistance at the end of each cycle and the mean square error to obtain a critical value of the pressure strength;

[0139] In response to the hydraulic support end-of-cycle resistance being greater than the critical value of the pressure strength, determining the periodic pressure of the fully mechanized mining working face;

[0140] The advancement distance of the comprehensive mining face within the interval between the two cycles of pressure coming in and out is obtained, and the pressure step distance is obtained according to the advancement distance.

[0141] In some embodiments, the first acquisition module 401 is further used to:

[0142] Determine the target number of the hydraulic supports to be selected according to the total number of the hydraulic supports and the set ratio, and select a set of hydraulic supports from the hydraulic supports of the fully mechanized mining working face according to the target number;

[0143] The initial support force, increased resistance ratio and front and rear column imbalance of each hydraulic support in the hydraulic support set are obtained, and the initial support force, increased resistance ratio and front and rear column imbalance of the hydraulic support are respectively averaged to obtain the initial support force, increased resistance ratio and front and rear column imbalance in the first data set.

[0144] In some embodiments, the identification module 403 is further used to:

[0145] For any data combination in the first data set and the second data set, obtaining determination conditions associated with different disaster levels corresponding to the any data combination, and comparing the any data combination with the determination conditions associated with the different disaster levels to determine a target determination condition satisfied by the any data combination, wherein the any data combination includes data of at least one dimension in the set;

[0146] Determine the disaster level associated with the target determination condition as a candidate disaster level corresponding to any one of the data combinations;

[0147] The target disaster level is determined according to the candidate disaster level corresponding to each arbitrary data combination.

[0148] In some embodiments, the identification module 403 is further used to:

[0149] The candidate disaster levels corresponding to each of the data combinations are counted to obtain the number of data combinations for each disaster level; traversing is performed starting from the highest disaster level to determine whether the number of data combinations of the currently traversed disaster level is greater than or equal to a set number; in response to the number of data combinations of the currently traversed disaster level being greater than or equal to a set number, the currently traversed disaster level is used as the target disaster level.

[0150] In some embodiments, the identification module 403 is further used to:

[0151] The candidate disaster levels corresponding to each of the data combinations are compared, and the highest disaster level is selected as the target disaster level.

[0152] In some embodiments, the determination conditions associated with the different disaster levels include pre-calibrated benchmark indicators, which are obtained through statistical analysis of mining data of N test comprehensive mining working faces, where N is an integer greater than or equal to 2.

[0153] The safety monitoring device for the fully mechanized mining face provided in the embodiment of the present application uses a plurality of evaluation indicators to evaluate and analyze the danger level of roof disasters, and the evaluation indicator benchmark values ​​used are all based on the statistical data obtained in mining theory and mining practice. Therefore, the analysis structure of the danger level of roof disasters is more scientific and accurate. Furthermore, since the evaluation indicators are selected in a targeted manner according to the specific division of roof disasters, the present application can, on the basis of early warning, guide the relevant mine production technicians to take timely and effective measures to eliminate dangers according to the specific disaster types reflected by different evaluation indicators, so as to avoid the losses and harm caused by roof disasters.

[0154] It should be noted that the explanation of the aforementioned embodiment of the safety monitoring method for the roof of a comprehensive mining face is also applicable to a safety monitoring device for the roof of a comprehensive mining face in this embodiment, which will not be repeated here.

[0155] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0156] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0157] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0158] The collection, storage, use, processing, transmission, provision and application of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0159] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0160] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, this application is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0161] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0162] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0163] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0164] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0165] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0166] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0167] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0168] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A safety monitoring method for a fully mechanized mining face, characterized in that: The method comprises: Acquire a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set at least includes the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support; Monitoring the microseismic events of the fully mechanized mining working face to obtain a second data set, wherein the second data set includes a maximum energy of a daily microseismic event, a total energy of a daily microseismic event, and an increase in the total energy of a daily microseismic event; The disaster level of the roof of the fully mechanized mining face is identified based on the first data set and the second data set to determine the target disaster level of the roof of the fully mechanized mining face.

2. The method according to claim 1, characterized in that The first data set also includes: the imbalance of the front and rear columns of the hydraulic support, the distance between the two safety valve opening supports, the time opening rate and the cycle opening rate, wherein the time opening rate is the percentage of the time of the safety valve opening overflow in an opening cycle to the total cycle time; the cycle opening rate is the percentage of the cycle of the safety valve overflow to the total number of observed cycles.

3. The method according to claim 2, characterized in that The process of obtaining the imbalance of the front and rear columns of the hydraulic support includes: Obtaining the imbalance of the front and rear columns of the hydraulic support according to the working resistance of the front column, the working resistance of the rear column and the rated working resistance of the hydraulic support; The imbalance of the front and rear columns of the hydraulic support is obtained by the following formula: Wherein, pfront is the resistance of the front column, pback is the working resistance of the rear column, and p H is the rated working resistance.

4. The method according to claim 1, characterized in that: The process of obtaining the drag increase ratio includes: According to the end-of-cycle resistance and initial support force of the hydraulic support, combined with the cycle time and the rated working resistance of the hydraulic support, the resistance increase ratio is obtained; The drag increase ratio is obtained by the following formula: Among them, p m is the end-cycle resistance of the hydraulic support, p0 is the initial support force of the hydraulic support, T is the cycle time, p H is the rated working resistance of the hydraulic support.

5. The method according to claim 1, characterized in that The process of obtaining the pressure step distance includes: Obtaining an average value of the resistance at the end of each cycle of the hydraulic support and a mean square error of the average value of the resistance at the end of each cycle, summing the average value of the resistance at the end of each cycle and the mean square error to obtain a critical value of the pressure strength; In response to the hydraulic support end-of-cycle resistance being greater than the critical value of the pressure strength, determining the periodic pressure of the fully mechanized mining working face; The advancement distance of the comprehensive mining face within the interval between the two cycles of pressure coming in and out is obtained, and the pressure step distance is obtained according to the advancement distance.

6. The method according to any one of claims 2 to 5, characterized in that: The method further comprises: Determine the target number of the hydraulic supports to be selected according to the total number of the hydraulic supports and the set ratio, and select a set of hydraulic supports from the hydraulic supports of the fully mechanized mining working face according to the target number; The initial support force, increased resistance ratio and front and rear column imbalance of each hydraulic support in the hydraulic support set are obtained, and the initial support force, increased resistance ratio and front and rear column imbalance of the hydraulic support are respectively averaged to obtain the initial support force, increased resistance ratio and front and rear column imbalance in the first data set.

7. The method according to any one of claims 1 to 5, characterized in that The step of identifying the disaster level of the roof of the fully mechanized mining face according to the first data set and the second data set to determine the target disaster level of the roof of the fully mechanized mining face includes: For any data combination in the first data set and the second data set, obtaining determination conditions associated with different disaster levels corresponding to the any data combination, and comparing the any data combination with the determination conditions associated with the different disaster levels to determine a target determination condition satisfied by the any data combination, wherein the any data combination includes data of at least one dimension in the set; Determine the disaster level associated with the target determination condition as a candidate disaster level corresponding to any one of the data combinations; Determining the target disaster level according to the candidate disaster level corresponding to each arbitrary data combination; Among them, the judgment conditions associated with different disaster levels include pre-calibrated benchmark indicators, which are obtained through statistical analysis of mining data of N test comprehensive mining working faces, where N is an integer greater than or equal to 2.

8. The method according to claim 7, characterized in that The step of determining the target disaster level according to the candidate disaster level corresponding to each arbitrary data combination includes: Counting the candidate disaster levels corresponding to each of the data combinations to obtain the number of data combinations for each disaster level; Start traversing from the highest disaster level and determine whether the number of data combinations of the currently traversed disaster level is greater than or equal to the set number; In response to the number of data combinations of the currently traversed disaster level being greater than or equal to a set number, the currently traversed disaster level is used as the target disaster level.

9. The method according to claim 7, characterized in that: The method further comprises: Obtaining basic information of the mine, the basic information at least including the working face advancement speed, overlying rock stratification, rock stratum properties and thickness; According to the first data set and the second data set, combined with the basic information, the disaster level of the roof of the fully mechanized mining face is identified to determine the target disaster level of the roof of the fully mechanized mining face.

10. A safety monitoring device for the roof of a fully mechanized mining face, characterized in that: The method comprises: A first acquisition module is used to acquire a first data set related to the hydraulic support of the fully mechanized mining working face, wherein the first data set at least includes the initial support force, resistance increase ratio, pressure step distance and safety valve opening ratio of the hydraulic support; A second acquisition module is used to monitor the microseismicity of the fully mechanized mining working face and acquire a second data set, wherein the second data set includes the maximum energy of daily microseismic events, the total energy of daily microseismic events, and the total energy increase of daily microseismic events; An identification module is used to identify the disaster level of the roof of the comprehensive mining working face according to the first data set and the second data set to determine the target disaster level of the roof of the comprehensive mining working face.

Images