Working face floor water inrush hazard detection method, system, terminal and storage medium

Abstract

The present invention relates to the field of coal mining technology, and specifically to a method, system, terminal and storage medium for detecting water inrush hazard at the bottom plate of a working face, including: obtaining monitoring data based on a preset monitoring device; obtaining key indicators of maximum bottom plate event depth and resistivity based on microseismic and electrical method coupling monitoring data; obtaining key indicators of water level changes in Aohui holes and Xuhui holes based on hydrological monitoring data; obtaining key indicators of the amplitude of changes in bottom plate stress compared with the previous day based on bottom plate stress monitoring data; obtaining key indicators of the suspended top area based on suspended top situation monitoring data; configuring weights for each key indicator based on a tomographic analysis method, and weightedly fusing all key indicators to obtain water inrush hazard detection results. This provides a strong basis for preventing water inrush accidents in advance and ensuring safe production at the working face.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal mining, and in particular relates to a method, system, terminal and storage medium for detecting water inrush hazard of a working face floor. Background Art

[0002] Coalfield refers to a large area of ​​coal-bearing areas formed by the deposition of carbonaceous materials in the course of geological history. Under the condition of hard roof, the problem of water inrush from the working face floor during coal seam mining is particularly prominent. Hard roof refers to the roof rock layer with high strength, large elastic modulus and low degree of joint and fissure development, which makes it difficult to collapse or collapse with a large step after mining; the working face floor refers to the rock layer located below the coal seam, which bears the mining pressure during coal seam mining and is closely related to coal seam mining activities.

[0003] Water inrush from the working face floor enters the working face in the form of sudden, slow or delayed inrush, causing the amount of water in the mine to increase exponentially, and even causing a flooding accident. This not only seriously threatens the safe production of coal mines, but also causes huge economic losses and environmental damage. Traditional methods for evaluating the danger of water inrush are mostly based on a single factor or a simple combination of factors, such as only considering the water pressure of the aquifer and the thickness of the impermeable layer.

[0004] However, this single-dimensional evaluation method often ignores the comprehensive impact of multiple factors such as the roof and floor conditions and the dynamic changes of groundwater on the risk of floor water inrush. Therefore, the accuracy and reliability of traditional methods in practical applications are greatly limited, and it is difficult to meet the needs of safe production in coal mines in the North Yellow River Coalfield. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method, system, terminal and storage medium for detecting the hazard of water inrush from the bottom plate of a working face to solve the above-mentioned technical problems.

[0006] In a first aspect, the present invention provides a method for detecting water inrush hazard of a working face floor, comprising: A method for detecting water inrush hazard of a working face floor comprises the following steps: S1, based on the preset monitoring device, obtain monitoring data, including microseismic and electrical method coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data; S2, based on the coupled monitoring data of microseismic and electrical methods, obtain the key indicators of maximum bottom plate event depth and resistivity; Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; S3, based on the tomographic analysis method, weights are assigned to each key indicator, and all key indicators are weighted and integrated to obtain the water inrush hazard detection results.

[0007] In an optional embodiment, in step S1, the preset of the monitoring device specifically includes: In combination with the geological conditions of the working face, the monitoring points for microseismic and electrical coupling monitoring, hydrological monitoring, floor stress monitoring and suspended roof monitoring are arranged; For microseismic and electrical coupling monitoring, a fully enclosed arrangement is adopted. Microseismic sensors and electromagnetic sensors are arranged in the drifts on both sides of the tunnel with the monitoring target area as the center. The microseismic sensors and electromagnetic sensors are buried in special boreholes with the bottom facing the monitoring area and in coupling contact with the surrounding rock. For floor stress monitoring, borehole stress gauges are arranged near the cut eye, cut top lane, and fault; For hydrological monitoring, water level monitoring points are arranged in a circle around the microseismic and electrical coupling monitoring area, water level monitoring points are arranged in the bottom plate stress monitoring area and within the preset intervals, and monitoring points are arranged in various parts of the aquifer and key positions of the aquiclude.

[0008] For the monitoring of the suspended roof situation, monitoring points are arranged in the roof area above the tunnel and the roof above the drill hole corresponding to the microseismic and electrical method coupling monitoring area, and the monitoring points are densely arranged in the key area of ​​bottom plate stress monitoring. The monitoring points are comprehensively arranged in a grid manner on the roof of the entire working face.

[0009] In an optional implementation, in step S2, obtaining the maximum bottom plate event depth key indicator specifically includes: Determine the propagation speed of seismic waves in the underground medium of the monitoring area; Based on the arrival time difference positioning method combined with the propagation velocity, the microseismic event positioning calculation is performed to obtain the coordinate position of the microseismic event in three-dimensional space; Obtain the geometric information of the bottom plate based on the specific location range of the bottom plate, and screen out the microseismic events within the range of the bottom plate; The screened microseismic events are sorted according to their vertical depths to obtain the maximum floor event depth; Obtaining resistivity key indicators specifically includes: Based on the coupled monitoring data of microseismic and electrical methods, the potential difference, power supply current intensity, electrode spacing and device coefficient are obtained; The resistivity value is calculated based on the potential method combined with the potential difference, supply current intensity, electrode spacing and device coefficient.

[0010] In an optional implementation, in step S2, based on the hydrological monitoring data, obtaining the key indicators of the water level change of the Aohui hole and the Xuhui hole specifically includes: Preset the reference value of water level of Aohui hole and Xuhui hole respectively; The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Aohui hole to obtain the water level change of the Aohui hole in each time interval; The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Xuhui hole to obtain the water level change of the Xuhui hole in each time interval.

[0011] In an optional implementation, in step S2, based on the bottom plate stress monitoring data, obtaining the key indicator of the change range of the bottom plate stress compared with the previous day specifically includes: For each monitoring point, the stress monitoring value at the corresponding time of the previous day is subtracted from the stress monitoring value of the current day to obtain the daily stress change of each monitoring point.

[0012] In an optional implementation, in step S2, based on the monitoring data of the suspended ceiling situation, obtaining the key indicator of the suspended ceiling area specifically includes: Obtaining location information of the roof support structure; Divide the top plate into a plurality of grid cells and obtain position information of each grid cell; Calculate the distance between each grid unit and the supporting structure, and determine whether the grid unit is a suspended ceiling area according to a preset distance threshold; Based on the monitoring data of the overhanging ceiling, the boundary of the overhanging ceiling area is divided and the geometric shape is determined; For each overhanging region with a defined boundary and a determined geometric shape, the area of ​​each overhanging region is calculated respectively, and the areas of all overhanging regions are accumulated and summed to obtain the total overhanging area numerical potential.

[0013] In an optional embodiment, in step S3, the step of configuring a weight for each key indicator based on the tomographic analysis method includes: The water inrush hazard of the working face floor is configured as the target layer, the microseismic and electrical method coupling monitoring, hydrological monitoring, floor stress monitoring, and hanging roof monitoring are used as criterion layer factors to configure the criterion layer, and the maximum floor event depth, resistivity, water level change of the Ordos ash hole, water level change of the Xu ash hole, the change range of floor stress compared with the previous day, and the hanging roof area are used as scheme layer factors to configure the scheme layer; At the criterion level, the four criterion level factors are compared in pairs, and the first comparison matrix is ​​constructed based on all the comparison results; Calculate the first eigenvector of the first comparison matrix, and after normalizing the first eigenvector, obtain the weight of each criterion layer factor; At the scheme level, the maximum floor event depth and resistivity under microseismic and electrical coupling monitoring are used to construct the second comparison matrix, and the water level changes of Aohui holes and Xuhui holes under hydrological monitoring are compared pairwise to construct the third comparison matrix. The second eigenvector of the second comparison matrix is ​​calculated, and after normalization of the second eigenvector, the weights of the maximum floor event depth and resistivity under the microseismic and electrical method coupling monitoring are obtained, and the final weight of the maximum floor event depth and the final weight of the resistivity are obtained based on the weight configuration of the criterion layer factors; The third eigenvector of the third comparison matrix is ​​calculated, and after normalization of the third eigenvector, the weights of the water level changes of the Aohui hole and the Xuhui hole under hydrological monitoring are obtained, and the final weights of the water level changes of the Aohui hole and the Xuhui hole are obtained based on the weight configuration of the criterion layer factors; The weight of the floor stress monitoring factor is used as the final weight of the change in floor stress compared with the previous day; The weight of the overhanging ceiling monitoring factor is taken as the final weight of the overhanging ceiling area.

[0014] In a second aspect, the present invention provides a working face floor water inrush hazard detection system, the system performs the above-mentioned working face floor water inrush hazard detection method when implemented, and the system comprises: The data acquisition module acquires monitoring data based on the preset monitoring device. The monitoring data includes microseismic and electrical coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data. The key indicator acquisition module obtains the key indicators of maximum bottom plate event depth and resistivity based on the microseismic and electrical method coupled monitoring data; Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; The key indicator fusion module configures weights for each key indicator based on the tomographic analysis method, and weightedly fuses all key indicators to obtain the water inrush hazard detection results.

[0015] In a third aspect, a terminal is provided, including: processor, memory, wherein: The memory is used to store computer programs. The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0016] According to a fourth aspect, a computer storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer executes the methods described in the above aspects.

[0017] The beneficial effect of the present invention lies in that the working face bottom plate water inrush hazard detection method, system, terminal and storage medium provided by the present invention obtain various monitoring data including microseismic and electrical coupling, hydrology, bottom plate stress, hanging roof conditions, etc. by means of preset multiple monitoring devices, further analyze and obtain corresponding key indicators, and then perform weighted fusion on the influence of bottom plate water inrush according to each key indicator, and finally obtain a comprehensive detection result of water inrush hazard, which is helpful to accurately and comprehensively judge the bottom plate water inrush hazard, and provide a strong basis for preventing water inrush accidents in advance and ensuring safe production of the working face.

[0018] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0020] Figure 1 It is a schematic flow chart of a method for detecting water inrush hazard from the bottom plate of a working face according to an embodiment of the present invention.

[0021] Figure 2 It is a schematic block diagram of a working face floor water inrush hazard detection system according to an embodiment of the present invention.

[0022] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0025] The key terms appearing in the present invention are explained below.

[0026] A tunnel refers to an underground passage excavated in underground space operations such as underground mining and tunnel engineering to meet the functional requirements of personnel passage, transportation of ore (coal, etc.), ventilation, drainage, and laying of various pipelines. It is a basic component of the entire underground engineering system, just like ground transportation roads, and plays a key role in connecting different operating areas and ensuring the smooth development of the project.

[0027] The working face floor water inrush hazard detection method provided by the embodiment of the present invention is executed by a computer device, and correspondingly, the working face floor water inrush hazard detection system runs in the computer device.

[0028] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject can be a working face floor water inrush hazard detection system. According to different requirements, the order of the steps in the flow chart can be changed, and some can be omitted.

[0029] like Figure 1 As shown, the method includes: S1, based on the preset monitoring device, obtain monitoring data, including microseismic and electrical method coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data; A more comprehensive data foundation has been constructed, which can reflect the actual conditions of the working face floor and its surroundings from different angles, avoiding the one-sidedness of relying solely on single data for judgment, and providing rich and multi-angle information support for the subsequent analysis of the danger of water inrush from the floor.

[0030] S2, based on the coupled monitoring data of microseismic and electrical methods, obtain the key indicators of maximum bottom plate event depth and resistivity; Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; Distilling the complex and numerous original monitoring data into key quantitative indicators closely related to bottom slab water inrush will help focus on the key points and more intuitively and accurately grasp the changes in key factors that may affect bottom slab water inrush, thus preparing for the subsequent scientific and reasonable assessment of the danger of water inrush.

[0031] S3, based on the tomographic analysis method, weights are assigned to each key indicator, and all key indicators are weighted and integrated to obtain the water inrush hazard detection results; It can fully consider the differences in the roles played by various key indicators in the process of bottom plate water inrush, making the evaluation process more targeted and scientific, and quantify the impact of various key indicators to form an intuitive comprehensive evaluation result, which is convenient for relevant personnel to quickly and clearly understand the degree of danger of bottom plate water inrush at the current working face, and then formulate accurate and effective preventive measures in advance to ensure that the working face can carry out production operations in a safe state and minimize the losses and risks caused by water inrush accidents.

[0032] In order to facilitate the understanding of the present invention, the working face floor water inrush hazard detection method provided by the present invention is further described below based on the principle of the working face floor water inrush hazard detection method of the present invention.

[0033] Optionally, as an embodiment of the present invention, in step S1, the preset of the monitoring device specifically includes: In combination with the geological conditions of the working face, the monitoring points for microseismic and electrical coupling monitoring, hydrological monitoring, floor stress monitoring and suspended roof monitoring are arranged; For microseismic and electrical coupling monitoring, a fully enclosed arrangement is adopted. Microseismic sensors and electromagnetic sensors are arranged in the drifts on both sides of the tunnel with the monitoring target area as the center. The microseismic sensors and electromagnetic sensors are buried in special boreholes, with the bottom facing the monitoring area and coupled with the surrounding rock; for microseismic and electrical coupling monitoring, vibration sensors and electromagnetic sensors are installed in the bottom plate hole. A one-meter hole is drilled vertically downward in the bottom plate, and the sensor is squeezed into the clay, and the hole is sealed with clay. For bottom plate stress monitoring, a 75mm diameter drill bit is used to drill a hole in the bottom plate of the working face, and a borehole stress meter is placed in the hole and sealed with cement slurry; For floor stress monitoring, borehole stress gauges are arranged near the cut eye, cut top lane, and fault; For hydrological monitoring, water level monitoring points are arranged in a circle around the microseismic and electrical coupling monitoring area, water level monitoring points are arranged in the bottom plate stress monitoring area and within the preset intervals, and monitoring points are arranged in various parts of the aquifer and key positions of the aquiclude.

[0034] For the monitoring of the suspended roof situation, monitoring points are arranged in the roof area above the tunnel and the roof above the drill hole corresponding to the microseismic and electrical method coupling monitoring area, and the monitoring points are densely arranged in the key area of ​​bottom plate stress monitoring. The monitoring points are comprehensively arranged in a grid manner on the roof of the entire working face.

[0035] Optionally, as an embodiment of the present invention, in step S2, obtaining the maximum bottom plate event depth key indicator specifically includes: Determine the propagation speed of seismic waves in the underground medium of the monitoring area; refer to the empirical data of seismic wave propagation speed under similar geological conditions in the area in the past, and make appropriate adjustments based on the lithology, geological structure, etc. as the approximate propagation speed value.

[0036] Based on the arrival time difference positioning method combined with the propagation velocity, the microseismic event positioning calculation is performed to obtain the coordinate position of the microseismic event in three-dimensional space; for the microseismic signals collected at different monitoring points, the first arrival time (i.e. the time when the seismic wave (such as P wave, S wave, etc.) is accurately identified (i.e. the time when it first arrives at the monitoring point).

[0037] The time difference between each monitoring point when the same seismic wave is received is calculated, and the time difference, the known spatial coordinates of the monitoring points and the determined seismic wave propagation velocity are substituted into the time difference positioning equation group. Mathematical methods such as the least squares method are usually used to solve the equation group to obtain the coordinate position (X, Y, Z) of the microseismic event in three-dimensional space.

[0038] The geometric information of the bottom plate is obtained based on the specific position range of the bottom plate, and the microseismic events within the range of the bottom plate are screened out; the coordinate position of each microseismic event calculated by the positioning algorithm is compared with the spatial geometric model of the bottom plate to determine whether the coordinates of the microseismic event fall within the spatial range defined by the bottom plate.

[0039] The selected microseismic events are sorted in descending order according to their vertical depths. After sorting, the Z coordinate value of the microseismic event ranked first (i.e., with the largest vertical depth value) is taken, which is the maximum bottom plate event depth required.

[0040] Obtaining resistivity key indicators specifically includes: Based on the coupled monitoring data of microseismic and electrical methods, the potential difference, power supply current intensity, electrode spacing and device coefficient are obtained; The resistivity value is calculated based on the potential method combined with the potential difference, supply current intensity, electrode spacing and device coefficient, and is calculated as:

[0041] in, represents the resistivity, represents the device coefficient, represents the potential difference, Indicates the intensity of the power supply current; the device coefficient K is related to the electrode arrangement, electrode spacing, etc. Different electrode arrangements (such as Wenner arrangement, dipole-dipole arrangement, etc.) will correspond to different calculation methods.

[0042] Optionally, as an embodiment of the present invention, the potential difference is measured by using electrodes (such as non-polarized electrodes, etc.) pre-arranged in the monitoring area, and a potential difference measuring instrument is used to accurately measure the potential difference between different electrode pairs, and the specific value of each measurement and the corresponding measurement time, electrode number and other related information are recorded to ensure the accuracy and precision of the measurement. If necessary, multiple measurements can be performed to take the average value to reduce the error.

[0043] For the power supply electrode, high-precision current measuring equipment is used to monitor and record the current intensity during power supply in real time. Attention should also be paid to the accuracy of the measurement and the impact of environmental factors on the current measurement (for example, ambient temperature, humidity, etc. may affect the accuracy of the instrument, and corresponding corrections should be made if there is any impact), and the stability of the power supply current should be ensured to meet the requirements of electrical measurement.

[0044] Determine the actual distance between electrodes and the device coefficient. According to the electrode arrangement adopted, the device coefficient is calculated according to the corresponding geometric relationship. For example, in the Wenner arrangement, the device coefficient (a is the distance between adjacent electrodes). It is necessary to accurately measure the value of the electrode distance to obtain the accurate K.

[0045] Optionally, as an embodiment of the present invention, in step S2, based on the hydrological monitoring data, obtaining the key indicators of the water level change of the Aohui hole and the Xuhui hole specifically includes: Preset the reference water level values ​​of the Aohui hole and the Xuhui hole respectively (such as the first water level measurement value when the project starts monitoring, or the water level value at a specific representative time point); The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Aohui hole to obtain the water level change of the Aohui hole in each time interval; The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Xuhui hole to obtain the water level change of the Xuhui hole in each time interval.

[0046] Optionally, as an embodiment of the present invention, in step S2, based on the bottom plate stress monitoring data, obtaining the key indicator of the change range of the bottom plate stress compared with the previous day specifically includes: For each monitoring point, the stress monitoring value at the corresponding time of the previous day is subtracted from the stress monitoring value of the current day to obtain the daily stress change of each monitoring point.

[0047] Optionally, as an embodiment of the present invention, in step S2, based on the overhanging ceiling condition monitoring data, obtaining the overhanging ceiling area key indicator specifically includes: The three-dimensional digital model of the roof is constructed based on the pre-processed data. If it is based on laser scanning point cloud data, the modeling function in the point cloud processing software (such as based on triangulation algorithm, etc.) can be used to connect the discrete point clouds into triangular facets, and then construct a three-dimensional surface model that can reflect the true shape of the roof; so that it can accurately present the spatial form of the roof and the surrounding area, including the ups and downs, inclination of the roof, and the relative position relationship with the surrounding structures.

[0048] Obtaining location information of the roof support structure; Divide the top plate into a plurality of grid cells and obtain position information of each grid cell; Calculate the distance between each grid unit and the supporting structure, and determine whether the grid unit is a suspended ceiling area based on a preset distance threshold, distinguishing between supported and unsupported areas; Based on the monitoring data of the overhanging ceiling, the boundary of the overhanging ceiling area is divided and the geometric shape is determined; For each overhanging region with a defined boundary and a determined geometric shape, the area of ​​each overhanging region is calculated respectively, and the areas of all overhanging regions are accumulated and summed to obtain the total overhanging area numerical potential.

[0049] Optionally, as an embodiment of the present invention, in step S3, First, the water inrush risk factors based on the microseismic and electrical coupling monitoring results are designed: a plan view of the maximum roof and floor events is drawn based on the microseismic monitoring results, and the maximum floor event depth is used as the judgment factor 1. A line graph of the resistivity data of the working face is drawn based on the electromagnetic sensing data, and the resistivity size is used as the judgment factor 2; Design of water inrush risk factors based on hydrological monitoring results: Draw a line graph of changes in hydrological observation holes based on water level monitoring results, and use the change in water level in the pressure water hole as a judgment factor 3; Design of water inrush risk factors based on the bottom plate stress monitoring results: Draw a stress change line graph based on the stress change of the borehole stress gauge, and use the magnitude of the bottom plate stress change as a judgment factor 4; Design of water inrush risk factors based on the monitoring results of suspended roof conditions: Draw a line graph of suspended roof distance based on the monitoring conditions of suspended roofs, and use the suspended roof area as a judgment factor5; The steps to assign weights to each key indicator based on the tomographic analysis method include: The water inrush hazard of the working face floor is configured as the target layer, the microseismic and electrical method coupling monitoring, hydrological monitoring, floor stress monitoring, and hanging roof monitoring are used as criterion layer factors to configure the criterion layer, and the maximum floor event depth, resistivity, water level change of the Ordos ash hole, water level change of the Xu ash hole, the change range of floor stress compared with the previous day, and the hanging roof area are used as scheme layer factors to configure the scheme layer; At the criterion level, the four criterion level factors are compared in pairs, and the first comparison matrix is ​​constructed based on all the comparison results; Calculate the first eigenvector of the first comparison matrix, and after normalizing the first eigenvector, obtain the weight of each criterion layer factor; At the scheme level, the maximum floor event depth and resistivity under microseismic and electrical coupling monitoring are used to construct the second comparison matrix, and the water level changes of Aohui holes and Xuhui holes under hydrological monitoring are compared pairwise to construct the third comparison matrix. The second eigenvector of the second comparison matrix is ​​calculated, and after normalization of the second eigenvector, the weights of the maximum floor event depth and resistivity under the microseismic and electrical method coupling monitoring are obtained, and the final weight of the maximum floor event depth and the final weight of the resistivity are obtained based on the weight configuration of the criterion layer factors; The third eigenvector of the third comparison matrix is ​​calculated, and after normalization of the third eigenvector, the weights of the water level changes of the Aohui hole and the Xuhui hole under hydrological monitoring are obtained, and the final weights of the water level changes of the Aohui hole and the Xuhui hole are obtained based on the weight configuration of the criterion layer factors; The weight of the floor stress monitoring factor is used as the final weight of the change in floor stress compared with the previous day; The weight of the overhanging ceiling monitoring factor is taken as the final weight of the overhanging ceiling area.

[0050] Optionally, as an embodiment of the present invention, each factor is assigned a value for the first time according to the final weight ratio.

[0051] Combined with historical monitoring data, the specific monitoring results at the criterion layer and the scheme layer are assigned a second value, and historical water inrush events are brought in for rationality verification and modification, ultimately resulting in a hazard level determination score table.

[0052] According to the monitoring results and the damage situation of the base plate, the assignment standards and processes will be adjusted and optimized in a timely manner to ensure the continuity and practicality of the assignment design.

[0053] Optionally, as an embodiment of the present invention, the assignment result is as follows: Maximum bottom event depth (m), maximum score 20 points: When the maximum floor event depth is less than 10, the score is 20 points; When 10≤maximum floor event depth≤15, the score is 15 points; When the maximum floor event depth is greater than 15, the score is 0.

[0054] Resistivity (mv), maximum score 15 points: When the resistivity is less than 1000, the score is 15 points; When 1000≤resistivity≤2000, the score is 13 points; When 2000≤resistivity≤4000, the score is 3 points; When the resistivity is greater than 4000, the score is 0.

[0055] Change of water level in the Aohui hole (m), with a maximum score of 10 points: 0<When the water level change of the Aohui hole is ≤1, the score is 10 points; 1<When the water level change of the Aohui hole is ≤2, the score is 3 points; When the water level change of the Aohui hole is greater than 2, the score is 0.

[0056] Change of water level in ash hole (m), maximum score is 15 points: When the water level change of the ash hole is less than 5, the score is 15 points; 5≤When the water level change of the ash hole is ≤6, the score is 10 points; When the water level change in the Xu ash hole is greater than 6, the score is 0.

[0057] Change in bottom plate stress compared to the previous day (%), with a maximum score of 20 points: When the change in the bottom plate stress is less than 5 points compared with the previous day, the score is 20 points; 5≤When the change in the bottom plate stress compared with the previous day is ≤50, the score is 18 points; When the change in bottom plate stress compared with the previous day is greater than 50, the score is 0.

[0058] Suspended ceiling area (m 2 ), with a maximum score of 20 points: When the area of ​​the suspended ceiling is less than 9, the score is 20 points; When 9≤overhang area≤25, the score is 17 points; When the hanging head area is greater than 25, the score is 0.

[0059] Optionally, as an embodiment of the present invention, all key indicators are weighted and fused to obtain the following water inrush hazard detection result: Preset a first judgment threshold and a second judgment threshold, the second judgment threshold is greater than the first judgment threshold; The scores of each key indicator are accumulated to obtain a comprehensive score; When the comprehensive score is greater than the first judgment threshold, it is judged as low risk; When the comprehensive score is not greater than the first judgment threshold and greater than the second judgment threshold, it is judged as medium risk; When the comprehensive score is not greater than the second judgment threshold, it is judged as high risk.

[0060] For example: add up all the above key indicators to get a comprehensive score. When the comprehensive score is less than 80, the risk level is high risk; When the comprehensive score is 80≤≤90, the risk level is medium risk; When the comprehensive score is greater than 90, the risk level is low risk.

[0061] In some embodiments, the working face floor water inrush hazard detection system may include a plurality of functional modules composed of computer program segments. The computer programs of the various program segments in the working face floor water inrush hazard detection system may be stored in a memory of a computer device and executed by at least one processor to execute (see Figure 1 Description) Function of detecting water inrush hazard on the working face floor.

[0062] In this embodiment, the working face floor water inrush hazard detection system can be divided into multiple functional modules according to the functions it performs, such as Figure 2 As shown. The functional modules of the system may include: a data acquisition module, a key indicator acquisition module, a scoring rule setting module, and a comprehensive evaluation module. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0063] The data acquisition module acquires monitoring data based on the preset monitoring device. The monitoring data includes microseismic and electrical coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data. The data acquisition module acquires monitoring data based on the preset monitoring device. The monitoring data includes microseismic and electrical coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data. The key indicator acquisition module obtains the key indicators of maximum bottom plate event depth and resistivity based on the microseismic and electrical method coupled monitoring data; Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; The key indicator fusion module configures weights for each key indicator based on the tomographic analysis method, and weightedly fuses all key indicators to obtain the water inrush hazard detection results.

[0064] Multiple types of monitoring data are acquired through the data acquisition module, the key indicator acquisition module extracts the corresponding key indicators, the key indicator fusion module configures weights for the key indicators, and weightedly integrates all key indicators to obtain a comprehensive evaluation result of the water inrush hazard. The overall evaluation of the bottom plate water inrush hazard can be comprehensive, accurate and scientific, helping to prevent and control water inrush accidents in advance and ensure safe production on the working face.

[0065] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present invention, which can be used to execute the method for detecting the hazard of water inrush from the bottom plate of a working face provided in an embodiment of the present invention.

[0066] The terminal may include: a processor, a memory and a communication unit. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention. It may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0067] The memory can be used to store the execution instructions of the processor, and the memory can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory are executed by the processor, the terminal is enabled to execute some or all of the steps in the following method embodiments.

[0068] The processor is the control center of the storage terminal, which uses various interfaces and lines to connect various parts of the entire electronic terminal, and executes various functions and / or processes data of the electronic terminal by running or executing software programs and / or modules stored in the memory, and calling data stored in the memory. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0069] The communication unit is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0070] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0071] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0072] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0073] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0074] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0076] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A method for detecting water inrush hazard of working face floor, characterized in that: The following steps are involved: S1, based on the preset monitoring device, obtain monitoring data, including microseismic and electrical method coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data; S2, based on the coupled monitoring data of microseismic and electrical methods, obtains the key indicators of maximum bottom plate event depth and resistivity, and evaluates the key indicators based on the preset scoring rules. Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; S3, based on the tomographic analysis method, weights are assigned to each key indicator, and all key indicators are weighted and integrated to obtain the water inrush hazard detection results.

2. The method for detecting water inrush hazard of working face floor according to claim 1, characterized in that: In step S1, the preset of the monitoring device specifically includes: In combination with the geological conditions of the working face, the monitoring points for microseismic and electrical coupling monitoring, hydrological monitoring, floor stress monitoring and suspended roof monitoring are arranged; For microseismic and electrical coupling monitoring, a fully enclosed arrangement is adopted. Microseismic sensors and electromagnetic sensors are arranged in the drifts on both sides of the tunnel with the monitoring target area as the center. The microseismic sensors and electromagnetic sensors are buried in special boreholes with the bottom facing the monitoring area and in coupling contact with the surrounding rock. For floor stress monitoring, borehole stress gauges are arranged near the cut eye, cut top lane, and fault; For hydrological monitoring, water level monitoring points are arranged in a ring around the microseismic and electrical coupling monitoring area, in the bottom plate stress monitoring area and within the preset spacing, and in various parts of the aquifer and key locations of the aquiclude; For the monitoring of the suspended roof situation, monitoring points are arranged in the roof area above the tunnel and the roof above the drill hole corresponding to the microseismic and electrical method coupling monitoring area, and the monitoring points are densely arranged in the key area of ​​bottom plate stress monitoring. The monitoring points are comprehensively arranged in a grid manner on the roof of the entire working face.

3. The method for detecting water inrush hazard of working face floor according to claim 1, characterized in that: In step S2, obtaining the maximum bottom plate event depth key indicator specifically includes: Determine the propagation speed of seismic waves in the underground medium of the monitoring area; Based on the arrival time difference positioning method combined with the propagation velocity, the microseismic event positioning calculation is performed to obtain the coordinate position of the microseismic event in three-dimensional space; Obtain the geometric information of the bottom plate based on the specific location range of the bottom plate, and screen out the microseismic events within the range of the bottom plate; The screened microseismic events are sorted according to their vertical depths to obtain the maximum floor event depth; Obtaining resistivity key indicators specifically includes: Based on the coupled monitoring data of microseismic and electrical methods, the potential difference, power supply current intensity, electrode spacing and device coefficient are obtained; The resistivity value is calculated based on the potential method combined with the potential difference, supply current intensity, electrode spacing and device coefficient.

4. The method for detecting water inrush hazard of working face floor according to claim 1, characterized in that: In step S2, based on the hydrological monitoring data, key indicators of the water level change of the Aohui hole and the Xuhui hole are obtained, including: Preset the reference value of water level of Aohui hole and Xuhui hole respectively; The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Aohui hole to obtain the water level change of the Aohui hole in each time interval; The water level value in the hydrological monitoring data at each moment is subtracted from the water level reference value of the Xuhui hole to obtain the water level change of the Xuhui hole in each time interval.

5. The method for detecting water inrush hazard of working face floor according to claim 1, characterized in that: In step S2, based on the bottom plate stress monitoring data, key indicators of the change range of the bottom plate stress compared with the previous day are obtained, including: For each monitoring point, the stress monitoring value at the corresponding time of the previous day is subtracted from the stress monitoring value of the current day to obtain the daily stress change of each monitoring point.

6. The method for detecting water inrush hazard of working face floor according to claim 2, characterized in that: In step S2, based on the monitoring data of the suspended ceiling situation, obtaining the key indicators of the suspended ceiling area specifically includes: Obtaining location information of the roof support structure; Divide the top plate into a plurality of grid cells and obtain position information of each grid cell; Calculate the distance between each grid unit and the supporting structure, and determine whether the grid unit is a suspended ceiling area according to a preset distance threshold; Based on the monitoring data of the overhanging ceiling, the boundary of the overhanging ceiling area is divided and the geometric shape is determined; For each overhanging region with a defined boundary and a determined geometric shape, the area of ​​each overhanging region is calculated respectively, and the areas of all overhanging regions are accumulated and summed to obtain the total overhanging area numerical potential.

7. The method for detecting water inrush hazard of working face floor according to claim 1, characterized in that: In step S3, the step of configuring weights for each key indicator based on the tomographic analysis method includes: The water inrush hazard of the working face floor is configured as the target layer, the microseismic and electrical method coupling monitoring, hydrological monitoring, floor stress monitoring, and hanging roof monitoring are used as criterion layer factors to configure the criterion layer, and the maximum floor event depth, resistivity, water level change of the Ordos ash hole, water level change of the Xu ash hole, the change range of floor stress compared with the previous day, and the hanging roof area are used as scheme layer factors to configure the scheme layer; At the criterion level, the four criterion level factors are compared in pairs, and the first comparison matrix is ​​constructed based on all the comparison results; Calculate the first eigenvector of the first comparison matrix, and after normalizing the first eigenvector, obtain the weight of each criterion layer factor; At the scheme level, the maximum floor event depth and resistivity under microseismic and electrical coupling monitoring are used to construct the second comparison matrix, and the water level changes of Aohui holes and Xuhui holes under hydrological monitoring are compared pairwise to construct the third comparison matrix. The second eigenvector of the second comparison matrix is ​​calculated, and after normalization of the second eigenvector, the weights of the maximum floor event depth and resistivity under the microseismic and electrical method coupling monitoring are obtained, and the final weight of the maximum floor event depth and the final weight of the resistivity are obtained based on the weight configuration of the criterion layer factors; The third eigenvector of the third comparison matrix is ​​calculated, and after normalization of the third eigenvector, the weights of the water level changes of the Aohui hole and the Xuhui hole under hydrological monitoring are obtained, and the final weights of the water level changes of the Aohui hole and the Xuhui hole are obtained based on the weight configuration of the criterion layer factors; The weight of the floor stress monitoring factor is used as the final weight of the change in floor stress compared with the previous day; The weight of the overhanging ceiling monitoring factor is taken as the final weight of the overhanging ceiling area.

8. A working face floor water inrush hazard detection system, characterized in that: When implemented, the system executes the method for detecting water inrush hazard of the working face floor as described in any one of claims 1 to 7, and the system comprises: The data acquisition module acquires monitoring data based on the preset monitoring device. The monitoring data includes microseismic and electrical coupling monitoring data, hydrological monitoring data, bottom plate stress monitoring data, and suspended roof monitoring data. The key indicator acquisition module obtains the key indicators of maximum bottom plate event depth and resistivity based on the microseismic and electrical method coupled monitoring data; Based on the hydrological monitoring data, key indicators of the water level changes of the Aohui hole and the Xuhui hole are obtained; Based on the bottom plate stress monitoring data, obtain the key indicators of the change in bottom plate stress compared with the previous day; Based on the monitoring data of the overhanging ceiling, key indicators of the overhanging ceiling area are obtained; The key indicator fusion module configures weights for each key indicator based on the tomographic analysis method, and weightedly fuses all key indicators to obtain the water inrush hazard detection results.

9. A terminal, characterized in that: include: A memory, used for storing a working face floor water inrush hazard detection program; A processor is used to implement the steps of the working face floor water inrush hazard detection method as described in any one of claims 1 to 7 when executing the working face floor water inrush hazard detection program.

10. A computer-readable storage medium storing a computer program, characterized in that: The readable storage medium stores a working face floor water inrush hazard detection program, and when the working face floor water inrush hazard detection program is executed by the processor, the steps of the working face floor water inrush hazard detection method as described in any one of claims 1-7 are implemented.

Images