Coal mine geological data analysis method based on three-dimensional modeling technology and storage medium

Abstract

The invention relates to the technical field of coal mine geological data analysis, and particularly discloses a coal mine geological data analysis method based on a three-dimensional modeling technology and a storage medium. The method comprises the steps of mine three-dimensional model construction, front mining wall risk degree analysis, mine surface mining risk degree analysis, roof stratum mining risk degree analysis, side wall mining risk degree analysis and mine mining risk level evaluation. The mining safety is comprehensively analyzed from the four angles of the mining wall in front of the mine, the earth surface, the roof rock stratum, the left side wall and the right side wall, the comprehensiveness of mining safety analysis of the mine is improved, and the mining safety of the earth surface layer is analyzed according to the earth surface deformation condition and the earth surface water pressure condition; the accuracy of mining safety analysis of the surface layer is improved, the mining safety of the roof stratum is analyzed according to the rock thickness change condition and the pressure change condition of the overlying stratum, and the mine collapse risk in the mining process is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine geological data analysis, and relates to a method for analyzing coal mine geological data based on three-dimensional modeling technology and a storage medium. Background Art

[0002] During the coal mining process, accurate analysis of geological data is crucial. Traditional coal mine geological data is mostly presented in two-dimensional form, which has problems such as non-intuitive expression of complex geological structures, difficulty in accurately reflecting spatial relationships and geological features. With the development of computer technology and three-dimensional modeling technology, three-dimensional modeling of coal mine geological data and analysis based on it have become important means to improve coal mining efficiency and safety.

[0003] For example, the patent with the Chinese patent publication number CN117371175A discloses a method for judging the stability of waterproof and water-resisting coal (rock) pillars in a mine, including: analyzing the hydrogeological conditions of the strata in the mining area, judging the spatial relationship between the coal (rock) pillars and underground engineering, so as to collect the thickness of the coal seam mined in the roadway, the mining depth h, the width of the waterproof and water-resisting coal (rock) pillars already reserved, the average unit weight of the overlying strata, the uniaxial compressive strength, uniaxial tensile strength, internal friction angle, cohesion, immersion weakening coefficient, average water pressure of the direct water-inrush aquifer, and the number of disturbed spaces; calculating the maximum width required to be reserved for the waterproof and water-resisting coal (rock) underground, the maximum water pressure that the currently reserved waterproof and water-resisting coal (rock) can withstand, and the safety factor of the stability of the waterproof and water-resisting coal (rock) pillars; determining the safety risk level of the waterproof and water-resisting coal (rock) pillars in the mine according to the safety factor of the stability of the waterproof and water-resisting coal (rock) pillars. The present invention can reasonably and scientifically evaluate the stability of the waterproof and water-resisting coal (rock) pillars in a coal mine, and better ensure the safe production of the mine.

[0004] For example, the patent with the Chinese patent publication number CN106339528B discloses a method for predicting the surface movement range induced by underground mining of the end slope of an open-pit iron mine, including: constructing an equivalent jointed rock mass model for the ore body mining area at the end slope of the open-pit mine, and simulating the laws of rock stratum and surface movement and damage induced by ore body mining under the end slope of the open-pit mine; inverse analysis of the parameters of the equivalent jointed rock mass model: using orthogonal experiments and numerical simulations to invert the mechanical parameters of the joint surface to obtain the optimal mechanical parameters of the joint surface; predicting the surface movement range induced by underground mining of the ore body at the end slope of the open-pit mine: using the equivalent jointed rock mass model to simulate the underground mining of the ore body at the end slope of the open-pit mine, calculating the displacements of each point on the surface along the X, Y, and Z directions and drawing displacement contour maps, and selecting the boundaries of the surface movement range, so as to predict the surface movement range; using the present invention for surface movement analysis of underground mining of the end slope of an open-pit mine can determine the deformation and failure states of the surface at different mining stages, provide a basis for safe production, and avoid casualties and property losses caused by surface movement and collapse.

[0005] The following problems also exist in the above prior art: 1. The current analysis of the mining safety of mines involves a relatively single perspective. The mining safety is not comprehensively analyzed from four perspectives: the front mining wall, the surface, the roof rock formation, and the left and right side walls of the mine. Monitoring from a single perspective will obtain fragmented data, which cannot form a complete safety monitoring system, reducing the comprehensiveness of the mining safety analysis of the mine and making it impossible to accurately assess the mining risks of the mine.

[0006] 2. In the analysis of the mining safety at the surface level, the mining safety at the surface level is not comprehensively analyzed from two aspects: the surface deformation condition and the surface water pressure condition. The surface deformation and the surface water pressure condition are interrelated. Without comprehensive analysis, it is difficult to evaluate the risk of their chain reaction, reducing the accuracy of the mining safety analysis at the surface level. At the same time, it cannot provide effective data support for the subsequent comprehensive mining hazard level assessment.

[0007] 3. In the analysis of the mining safety of the roof rock formation, a comprehensive analysis is not carried out according to the change of the rock thickness of the roof rock and the change of the pressure of the overlying rock formation. It is impossible to dynamically and intuitively display the changes of the roof rock formation, increasing the risk of mine collapse during the mining process, reducing the safety during the mining process of the mine, and thus seriously threatening the lives of the mining personnel. Summary of the Invention

[0008] In view of the above problems, the present invention aims to provide a method for analyzing coal mine geological data based on three-dimensional modeling technology and a storage medium, effectively solving the problems mentioned in the background technology.

[0009] The technical solution adopted by the present invention to solve its technical problems is as follows: In the first aspect, the present invention provides a method for analyzing coal mine geological data based on three-dimensional modeling technology, including the following steps: S1. Construction of the three-dimensional model of the mine: The target mine is scanned by a drone to obtain the target mine image, and the target mine image is imported into the modeling software to automatically generate the three-dimensional model of the target mine.

[0010] S2. Analysis of the danger degree of the front mining wall: Locate the position coordinates of each monitoring point in the front mining wall from the three-dimensional model of the target mine, and collect the gas content of each area in the front mining wall to analyze the mining danger degree of the target mine at the front mining wall level.

[0011] S3. Analysis of the mining danger degree of the mine surface: Collect the elevation and the groundwater pressure of each observation point on the surface of the target mine at each monitoring time point, and at the same time locate the three-dimensional coordinate values of each observation point on the surface at each monitoring time point from the three-dimensional model of the target mine to analyze the mining danger degree of the target mine at the surface level.

[0012] S4. Analysis of the mining risk of the roof rock stratum: Collect the rock thickness at each detection point on the roof rock of the target mine and the pressures corresponding to each pressure point in the overlying rock stratum during each monitoring period, and analyze the mining risk of the target mine at the roof rock stratum level.

[0013] S5. Analysis of the mining risk of the side walls: Collect the number of cracks corresponding to each area in the left and right side walls of the target mine and the extension lengths of each crack, and analyze the mining risk of the target mine at the side wall level.

[0014] S6. Assessment of the mining risk level of the mine: Assess the mining risk level of the target mine during coal mining and provide timely feedback on the mining risk level.

[0015] The second aspect of the present invention provides a storage medium that stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the coal mine geological data analysis method described in the present invention.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: (1) By comprehensively analyzing the mining safety from four perspectives of the front mining wall, the ground surface, the roof rock stratum, and the left and right side walls of the mine, the present invention realizes multi-angle and multi-dimensional mining safety analysis of the mine, forms a complete safety monitoring system, improves the comprehensiveness of the mining safety analysis of the mine, and helps to accurately assess the mining risk of the mine.

[0017] (2) By comprehensively analyzing the mining safety of the ground surface from two aspects of the ground surface deformation condition and the ground surface water pressure condition, the ground surface deformation and the ground surface water pressure condition are interrelated, and the comprehensive analysis can evaluate the risk of their chain reaction, improve the accuracy of the mining safety analysis of the ground surface layer, and at the same time provide effective data support for the subsequent comprehensive mining risk level assessment.

[0018] (3) By comprehensively analyzing according to the change situation of the rock thickness of the roof rock and the change situation of the pressure of the overlying rock stratum, the present invention realizes the dynamic and intuitive display of the changes of the roof rock stratum, reduces the risk of mine collapse during the mining process, improves the safety during the mining process of the mine, and thus avoids seriously threatening the lives of mining personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0020] Figure 1 Schematic diagram of the method flow of the present invention.

[0021] Figure 2 Schematic diagram of the structure of the computer-readable storage medium of the present invention.

[0022] Figure 3 Flow chart for confirming the mining risk level of the present invention. Detailed implementation manners

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] Embodiment 1

[0025] Please refer to Figure 1 As shown, a method for analyzing coal mine geological data based on three-dimensional modeling technology includes the following steps: S1. Construction of a three-dimensional mine model: By scanning the target mine with a drone, obtaining the target mine image, and importing the target mine image into the modeling software to automatically generate a three-dimensional model of the target mine.

[0026] S2. Analysis of the danger level of the front mining wall: Locate the position coordinates of each monitoring point in the front mining wall from the three-dimensional model of the target mine, and collect the gas content of each area in the front mining wall to analyze the mining danger level of the target mine at the front mining wall level.

[0027] It should be noted that the gas content of each area in the front mining wall is collected by gas concentration sensors arranged in each area.

[0028] In a specific embodiment of the present invention, the specific process of analyzing the mining danger level of the target mine at the front mining wall level is as follows: Based on the position coordinates of each monitoring point in the front mining wall of the target mine, calculate the position offset degree β of the front mining wall of the target mine.

[0029] In a specific embodiment of the present invention, the specific process of calculating the position offset degree of the front mining wall of the target mine is as follows: Extract the initial positions of each monitoring point in the front mining wall of the target mine from the database, and substitute them into the three-dimensional model of the target mine to obtain the initial position coordinates of each monitoring point, denoted as where i represents the number of the monitoring point, and i = 1, 2,..., n.

[0030] Denote the position coordinates of each monitoring point in the front mining wall of the target mine as (x i , yi , z i ).

[0031] Calculate the position offset index β of each monitoring point in the front mining wall of the target mine i , where Δx′, Δy′, and Δz′ respectively represent the position offset values corresponding to the set allowable x-axis, y-axis, and z-axis.

[0032] Calculate the position offset degree β of the front mining wall of the target mine where n represents the number of monitoring points.

[0033] Based on the gas content in each area of the front mining wall, calculate the gas safety degree χ of the front mining wall of the target mine during mining.

[0034] It should be noted that the specific process of calculating the gas safety degree of the front mining wall of the target mine during mining is as follows: calculate the average value of the gas content in each area of the front mining wall to obtain the average gas content in the front mining wall, and denote it as σ.

[0035] Calculate the gas safety degree χ of the front mining wall of the target mine during mining where σ′ represents the set allowable gas content of the front mining wall under safe mining conditions.

[0036] It should be noted that the set allowable gas content of the front mining wall under safe mining conditions is stipulated by the industry standard of mine safe mining.

[0037] Calculate the mining risk degree δ of the target mine at the level of the front mining wall 前 , where a1 and a2 respectively represent the proportion weights of the mining risk assessment corresponding to the set position offset degree and gas safety degree at the level of the front mining wall, and a1 + a2 = 1.

[0038] In a specific embodiment of the present invention, the set value of a1 is 0.4, and the set value of a2 is 0.6. When calculating the mining risk degree of the front mining wall level of the target mine, the gas safety degree is usually more important because the severity and suddenness of gas disasters determine that it is an important hidden danger threatening mining safety. However, this does not mean that the position offset degree can be ignored. Both should be included in the comprehensive evaluation system. It's just that in terms of resource and energy allocation, more attention may need to be placed on the control and evaluation of the gas safety degree, combined with the monitoring and adjustment of the position offset degree, to achieve a comprehensive mining risk assessment and safety guarantee.

[0039] S3. Analysis of the mining risk on the surface of the mine: Collect the elevation and groundwater pressure of each observation point on the surface of the target mine at each monitoring time point. At the same time, locate the three-dimensional coordinate values of each observation point on the surface from the three-dimensional model of the target mine, and analyze the mining risk of the target mine at the surface level.

[0040] It should be noted that the elevation refers to the distance from a certain point along the plumb line direction to the geoid. For the elevation data of the surface observation points in the target mine, simply speaking, it is the height value of the observation point relative to a reference plane (the geoid). The geoid is a closed surface that coincides with the mean sea level and extends to the continents and islands. It is the reference for measuring elevation. Leveling is a traditional and highly accurate elevation measurement method. It uses the horizontal line provided by the level to read the readings of the leveling rods erected at two points to measure the height difference between the two points, and then calculates the elevation of the point to be determined.

[0041] It should also be noted that the groundwater pressure of each observation point on the surface of the target mine at each monitoring time point is monitored by a water pressure sensor. The water pressure sensor is placed in the groundwater through drilling. The sensor will convert the sensed water pressure change into an electrical signal, and then transmit the data to the monitoring system on the ground through a data transmission line or a wireless communication module, so as to realize real-time and continuous monitoring of the water pressure.

[0042] In a specific embodiment of the present invention, the specific process of analyzing the mining risk of the target mine at the surface level is as follows: Based on the elevation and three-dimensional coordinate values of each observation point on the surface of the target mine at each monitoring time point, calculate the surface deformation degree of the target mine.

[0043] In a specific embodiment of the present invention, the specific process of calculating the surface deformation degree of the target mine is as follows: Extract the maximum value and the minimum value from the elevations of each observation point on the surface of the target mine at each monitoring time point, and denote them as and At the same time, extract the monitoring time points corresponding to the maximum value and the minimum value respectively, obtain the time interval duration between the maximum value and the minimum value, and denote it as T j , where j represents the number of the observation point, j = 1, 2,..., m.

[0044] Calculate the surface subsidence rate v corresponding to each observation point on the surface of the target mine j ,

[0045] Denote the three-dimensional coordinate values of each observation point on the surface of the target mine at each monitoring time point as (x jg , y jg , z jg), where g represents the number of the monitoring time points, and g = 1, 2,..., r.

[0046] Calculate the horizontal displacement ε of each observation point on the surface of the target mine at each monitoring time point jg , where x j(g-1) and y j(g-1) respectively represent the x-axis coordinate value and the y-axis coordinate value of the j-th observation point on the surface of the target mine at the (g - 1)-th monitoring time point.

[0047] Calculate the surface deformation degree of the target mine where v' and ε' respectively represent the surface subsidence rate and the horizontal displacement of the set reference, m represents the number of observation points, and r represents the number of monitoring time points.

[0048] It should be noted that the set reference surface subsidence rate and horizontal displacement are industry regulations in the coal mining industry.

[0049] Based on the groundwater pressure of each observation point on the surface of the target mine at each monitoring time point, calculate the surface water pressure safety degree θ of the target mine.

[0050] It should be noted that the specific process of calculating the surface water pressure safety degree of the target mine is as follows: Denote the groundwater pressure of each observation point on the surface of the target mine at each monitoring time point as P jg .

[0051] Calculate the surface water pressure safety degree θ of the target mine, where P 水 and ΔP 水 respectively represent the set reference groundwater pressure and the groundwater pressure deviation.

[0052] Calculate the mining risk degree δ of the target mine at the surface level 地 , where a3 and a4 respectively represent the proportion weights of the mining risk degree assessment corresponding to the set surface deformation degree and the surface water pressure safety degree at the surface level, and a3 + a4 = 1.

[0053] In a specific embodiment of the present invention, the set value of a3 is 0.5, and the set value of a4 is 0.5. Generally speaking, it is difficult to simply determine which one of the surface deformation degree and the surface water pressure safety degree is more important. They may both become key factors affecting the mining risk degree assessment at the surface level in different situations. In actual mining risk degree assessment, both of them should be considered in combination, and scientific assessment indicators and weights should be formulated according to the specific mining area environment and mining conditions.

[0054] In the embodiments of the present invention, the mining safety of the ground surface layer is comprehensively analyzed from two aspects: the ground surface deformation condition and the ground surface water pressure condition. The ground surface deformation and the ground surface water pressure condition are interrelated. The comprehensive analysis can evaluate the risk of their chain reaction, improve the accuracy of the mining safety analysis of the ground surface layer, and at the same time provide effective data support for the subsequent comprehensive mining risk level assessment.

[0055] S4. Analysis of the mining risk degree of the roof rock stratum: Collect the rock thickness of each detection point on the roof rock of the target mine and the pressure corresponding to each pressure point in the overlying rock stratum at each monitoring time period, and analyze the mining risk degree of the target mine at the roof rock stratum level.

[0056] It should be noted that the rock thickness of each detection point on the roof rock of the target mine is collected by the ground penetrating radar monitoring method. The electromagnetic wave emitted by the ground penetrating radar propagates in the roof rock stratum. When encountering the interface of different media, reflection will occur. By receiving and analyzing the reflected wave signal, the layering situation inside the roof rock and the thickness of each layer can be determined, and then the thickness of the roof rock can be obtained.

[0057] It should also be noted that the pressure corresponding to each pressure point in the overlying rock stratum at each monitoring time period is collected by the pressure sensor monitoring method. Pressure sensors are installed in the boreholes between the roof and the overlying rock stratum. The sensors can convert the sensed pressure into an electrical signal and transmit it to the ground monitoring system, so as to obtain the pressure of the overlying rock stratum at each monitoring point in real time.

[0058] In a specific embodiment of the present invention, the specific process of analyzing the mining risk degree of the target mine at the roof rock stratum level is as follows: Denote the rock thickness of each detection point on the roof rock of the target mine as H p , where p represents the number of the detection point, and p = 1, 2,..., q.

[0059] Calculate the rock thickness uniformity corresponding to the roof rock of the target mine where q represents the number of detection points, H p+1 represents the rock thickness of the (p + 1)-th detection point on the roof rock of the target mine, ΔH represents the set reference rock thickness deviation, and e represents the natural constant.

[0060] Based on the pressure corresponding to each pressure point in the overlying rock stratum of the target mine at each monitoring time period, calculate the pressure uniformity corresponding to the overlying rock stratum of the target mine

[0061] In a specific embodiment of the present invention, the specific process of calculating the pressure uniformity corresponding to the overlying strata of the target mine is as follows: Compare the pressures corresponding to each pressure point in the overlying strata of the target mine during each monitoring period with the safety pressure value corresponding to the overlying strata stored in the database to obtain the pressure deviation corresponding to each pressure point in the overlying strata during each monitoring period, and extract the maximum pressure deviation therefrom, denoted as ΔP f , where f represents the number of the pressure point, f = 1, 2,..., d.

[0062] Calculate the pressure difference coefficient ρ corresponding to the overlying strata of the target mine, where ΔP represents the set permitted pressure deviation, and d represents the number of pressure points.

[0063] Extract the maximum pressure and the minimum pressure respectively from the pressures corresponding to each pressure point in the overlying strata of the target mine during each monitoring period, and denote them as and

[0064] Calculate the pressure fluctuation coefficient ω corresponding to the overlying strata of the target mine, where ΔP′ represents the set permitted extreme pressure difference.

[0065] Calculate the pressure uniformity corresponding to the overlying strata of the target mine where ρ′ and ω′ respectively represent the set reference pressure difference coefficient and pressure fluctuation coefficient.

[0066] Calculate the mining risk δ of the target mine at the roof rock stratum level 顶 , where λ1 and λ2 respectively represent the set proportion weights of the mining risk assessment corresponding to the rock thickness uniformity and pressure uniformity at the roof rock stratum level, and λ1 + λ2 = 1.

[0067] In a specific embodiment of the present invention, the set value of λ1 is 0.6, and the set value of λ2 is 0.4. Generally speaking, when calculating the mining risk of the roof rock stratum of the target mine, the rock thickness uniformity may be more important. Because it directly determines the bearing capacity of the roof, and the non-uniformity of the bearing capacity will lead to a more direct and rapid risk of roof collapse. However, the pressure uniformity cannot be ignored either, because it reflects the stress state of the roof and is an important factor affecting the long-term stability of the roof.

[0068] By comprehensively analyzing according to the change of the rock thickness of the roof rock and the change of the pressure of the overlying strata, the embodiment of the present invention realizes the dynamic and intuitive display of the change of the roof rock stratum, reduces the risk of mine collapse during the mining process, improves the safety during the mine mining process, and thus avoids seriously threatening the lives of mining personnel.

[0069] S5. Analysis of the mining risk degree of the side wall: Collect the number of cracks corresponding to each area in the left side wall and the right side wall of the target mine and the extension length of each crack, and analyze the mining risk degree of the target mine at the side wall level.

[0070] It should be noted that the method for collecting the number of cracks corresponding to each area in the left side wall and the right side wall of the target mine and the extension length of each crack is as follows: 1) Image acquisition: Determine to install cameras in each area of the left side wall and the right side wall to ensure that the situation of the side wall can be completely recorded. 2) Image preprocessing: Preprocess the collected images, including operations such as denoising and enhancing contrast to improve the image quality and facilitate subsequent crack identification. 3) Crack identification algorithm: Use the crack identification algorithm in computer vision technology to detect and extract cracks from the preprocessed images. 4) Extraction and quantification of crack information: For the identified cracks, calculate their lengths and numbers through image processing technology.

[0071] In a specific embodiment of the present invention, the specific process of analyzing the mining risk degree of the target mine at the side wall level is as follows: Accumulate the number of cracks corresponding to each area in the left side wall of the target mine to obtain the total number of cracks in the left side wall of the target mine, denoted as μ.

[0072] Extract the maximum value from the extension lengths of each crack corresponding to each area in the left side wall of the target mine, denoted as l t , where t represents the area number, t = 1, 2,..., c.

[0073] Calculate the cracking degree ξ corresponding to the left side wall of the target mine 左 , where μ′ and l′ respectively represent the set permitted number of cracks and the safe extension length of cracks, and c represents the number of areas.

[0074] Based on the number of cracks corresponding to each area in the right side wall of the target mine and the extension length of each crack, similarly analyze the cracking degree ξ corresponding to the right side wall of the target mine according to the analysis method of the cracking degree corresponding to the left side wall of the target mine 右 .

[0075] Calculate the mining risk degree δ of the target mine at the side wall level 侧 , where a5 and a6 respectively represent the set proportion weights of the mining risk degree evaluation corresponding to the left side wall and the right side wall at the side wall level, and a5 + a6 = 1.

[0076] In a specific embodiment of the present invention, the set value of a5 is 0.5, and the set value of a6 is 0.5. Generally speaking, it cannot be simply stated which of the left and right side walls is more important. When evaluating the mining risk level of the side walls, a comprehensive evaluation of the left and right side walls is required.

[0077] S6. Evaluation of the mining risk level of the mine: Evaluate the mining risk level of the target mine during coal mining and provide timely feedback on the mining risk level.

[0078] In a specific embodiment of the present invention, the specific process for evaluating the mining risk level of the target mine during coal mining is as follows: Calculate the comprehensive mining risk δ of the target mine during coal mining 综 , where b1, b2, b3, and b4 respectively represent the proportion weights of the comprehensive mining risk assessment corresponding to the set front mining wall level, surface level, roof rock layer level, and side wall layer, and b1 + b2 + b3 + b4 = 1.

[0079] In a specific embodiment of the present invention, the set value of b1 is 0.25, the set value of b2 is 0.25, the set value of b3 is 0.25, and the set value of b4 is 0.25. The risks of these levels are not isolated but interrelated. In different mines and mining stages, the importance of each level varies. The comprehensive mining risk assessment needs to comprehensively consider multiple levels such as the front mining wall, surface, roof rock layer, and side walls. Each level may become a key factor affecting mining safety under different circumstances. It is necessary to establish a comprehensive and dynamic assessment system to ensure the safety and sustainable development of coal mining.

[0080] Please refer to Figure 3 As shown, compare the comprehensive mining risk of the target mine during coal mining with the comprehensive mining risk intervals corresponding to each mining risk level stored in the database. If the comprehensive mining risk of the target mine during coal mining is within the comprehensive mining risk interval corresponding to a certain mining risk level, then use this mining risk level as the mining risk level of the target mine during coal mining.

[0081] Through comprehensive analysis of mining safety from four perspectives: the front mining wall, surface, roof rock layer, and left and right side walls of the mine, the embodiments of the present invention achieve multi-angle and multi-dimensional mining safety analysis of the mine, form a complete safety monitoring system, improve the comprehensiveness of mining safety analysis of the mine, and help accurately evaluate the mining risk of the mine.

[0082] Embodiment 2

[0083] Please refer to Figure 2As shown, the present invention provides a storage medium that stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the coal mine geological data analysis method of the present invention.

[0084] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A coal mine geological data analysis method based on three-dimensional modeling technology, characterized in that: The steps include: S1. Construction of a three-dimensional mine model: Scan the target mine with a drone to obtain an image of the target mine, and import the image of the target mine into the modeling software to automatically generate a three-dimensional model of the target mine; S2. Analysis of the danger level of the front mining wall: locate the position coordinates of each monitoring point in the front mining wall from the three-dimensional model of the target mine, collect the gas content of each area in the front mining wall, and analyze the mining danger level of the target mine at the front mining wall level; S3. Analysis of the hazard level of surface mining in the mine: collect the elevation and groundwater pressure of each observation point on the surface of the target mine at each monitoring time point, and locate the three-dimensional coordinate values ​​of each observation point on the surface at each monitoring time point from the three-dimensional model of the target mine, and analyze the hazard level of mining in the target mine at the surface level; S4. Analysis of mining hazard of roof rock strata: Collect the rock thickness of each detection point on the roof rock of the target mine and the corresponding pressure of each pressure point in the overlying rock strata in each monitoring time period, and analyze the mining hazard of the target mine at the roof rock strata level; S5. Analysis of the danger of side wall mining: collect the number of cracks corresponding to each area in the left and right side walls of the target mine and the extension length of each crack, and analyze the mining danger of the target mine at the side wall level; S6. Mine mining hazard level assessment: Assess the mining hazard level of the target mine in coal mining, and provide timely feedback on the mining hazard level.

2. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 1 is characterized in that: The specific process of analyzing the mining risk of the target mine at the front mining wall level is as follows: Based on the position coordinates of each monitoring point in the front mining wall of the target mine, calculate the position deviation β of the front mining wall of the target mine; Based on the gas content of each area in the front mining wall, calculate the gas safety factor χ of the front mining wall of the target mine during mining; Calculate the mining risk δ of the target mine at the front mining wall level 前 , Among them, a1 and a2 represent the weights of the mining hazard assessment ratio of the front mining wall layer corresponding to the set position deviation and gas safety, respectively, and a1+a2=1.

3. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 2 is characterized in that: The specific process of calculating the position deviation of the front mining wall of the target mine is as follows: The initial position of each monitoring point in the front mining wall of the target mine is extracted from the database and brought into the three-dimensional model of the target mine to obtain the initial position coordinates of each monitoring point, which are recorded as Wherein, i represents the number of the monitoring point, i = 1, 2, ..., n; The position coordinates of each monitoring point in the front mining wall of the target mine are marked as (x i ,y i ,z i ); Calculate the position deviation index β of each monitoring point in the front mining wall of the target mine i , Wherein, Δx′, Δy′ and Δz′ represent the position offset values ​​corresponding to the x-axis, y-axis and z-axis respectively; Calculate the position deviation β of the front mining wall of the target mine, Where n represents the number of monitoring points.

4. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 2 is characterized in that: The specific process of analyzing the mining risk of the target mine at the surface level is as follows: Calculate the surface deformation of the target mine based on the elevation and three-dimensional coordinate values ​​of each observation point on the surface of the target mine at each monitoring time point Calculate the surface water pressure safety of the target mine based on the groundwater pressure at each observation point on the surface of the target mine at each monitoring time point Calculate the mining risk δ of the target mine at the surface level 地 , Among them, a3 and a4 represent the weights of the mining hazard assessment at the surface level corresponding to the set surface deformation degree and surface water pressure safety degree, respectively, and a3+a4=1.

5. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 4 is characterized in that: The specific process of calculating the surface deformation of the target mine is as follows: The maximum and minimum values ​​are extracted from the elevation of each observation point on the surface of the target mine at each monitoring time point and recorded as and At the same time, the monitoring time points corresponding to the maximum and minimum values ​​are extracted to obtain the time interval between the maximum and minimum values, which is recorded as T j , where j represents the number of the observation point, j = 1, 2, ..., m; Calculate the surface subsidence rate v corresponding to each observation point on the surface of the target mine j , The three-dimensional coordinate values ​​of each observation point on the surface of the target mine at each monitoring time point are recorded as (x jg ,y jg ,z jg ), where g represents the number of the monitoring time point, g = 1, 2, ..., r; Calculate the horizontal movement ε of each observation point on the surface of the target mine at each monitoring time point jg , Among them, x j ( g-1 ) and y j ( g-1 ) represent the x-axis coordinate value and y-axis coordinate value of the j-th observation point on the surface of the target mine at the g-1-th monitoring time point respectively; Calculate the surface deformation of the target mine Among them, v′ and ε′ represent the surface subsidence rate and horizontal movement of the reference, respectively, m represents the number of observation points, and r represents the number of monitoring time points.

6. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 4 is characterized in that: The specific process of analyzing the mining risk of the target mine at the roof rock layer level is as follows: The rock thickness at each detection point on the roof rock of the target mine is recorded as H p , where p represents the number of the detection point, p = 1, 2, ..., q; Calculate the rock thickness uniformity corresponding to the roof rock of the target mine Among them, q represents the number of detection points, H p+1 represents the rock thickness of the p+1th detection point on the roof rock of the target mine, ΔH represents the rock thickness deviation of the set reference, and e represents a natural constant; Based on the pressure corresponding to each pressure point in the overburden of the target mine in each monitoring time period, calculate the pressure uniformity corresponding to the overburden of the target mine Calculate the mining risk δ of the target mine at the roof rock layer level 顶 , Among them, λ1 and λ2 represent the weights of mining hazard assessment of the roof rock layer corresponding to the set rock thickness uniformity and pressure uniformity, respectively, λ1+λ2=1.

7. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 6 is characterized in that: The specific process of calculating the pressure uniformity corresponding to the overburden stratum of the target mine is as follows: The pressure corresponding to each pressure point in the overburden stratum of the target mine in each monitoring period is compared with the safety pressure value corresponding to the overburden stratum stored in the database, and the pressure deviation corresponding to each pressure point in the overburden stratum in each monitoring period is obtained, and the maximum pressure deviation is extracted from it, recorded as ΔP f , where f represents the number of the pressure point, f = 1, 2, ..., d; Calculate the pressure difference coefficient ρ corresponding to the overburden of the target mine, Where ΔP represents the set permissible pressure deviation, and d represents the number of pressure points; The maximum pressure and the minimum pressure are extracted from the pressures corresponding to each pressure point in the overburden strata of the target mine in each monitoring period, and recorded as and Calculate the pressure fluctuation coefficient ω corresponding to the overlying rock formation of the target mine, Among them, ΔP′ represents the set allowable pressure extreme difference; Calculate the pressure uniformity of the overburden of the target mine Wherein, ρ′ and ω′ represent the pressure difference coefficient and pressure fluctuation coefficient of the set reference, respectively.

8. The method for analyzing coal mine geological data based on three-dimensional modeling technology according to claim 6, characterized in that: The specific process of analyzing the mining risk of the target mine at the side wall level is as follows: The number of cracks corresponding to each area in the left side wall of the target mine is accumulated to obtain the total number of cracks in the left side wall of the target mine, which is recorded as μ; Extract the maximum value from the extension length of each crack corresponding to each area in the left wall of the target mine and record it as lt, where t represents the number of the area, t = 1, 2, ..., c; Calculate the cracking degree ξ corresponding to the left side wall of the target mine 左 , Wherein, μ′ and l′ represent the allowed number of cracks and the safe extension length of cracks, respectively, and c represents the number of regions; Based on the number of cracks corresponding to each area in the right side wall of the target mine and the extension length of each crack, the cracking degree ξ corresponding to the right side wall of the target mine is analyzed in the same way as the analysis method of the cracking degree corresponding to the left side wall of the target mine 右 ; Calculate the mining risk δ of the target mine at the side wall level 侧 , Among them, a5 and a6 represent the weights of the mining hazard assessment of the corresponding side wall levels of the left side wall and the right side wall respectively, a5+a6=1.

9. The method for analyzing coal mine geological data based on three-dimensional modeling technology according to claim 8, characterized in that: The specific process of evaluating the mining hazard level of the target mine in coal mining is as follows: Calculate the comprehensive mining risk δ of the target mine in coal mining 综 , Among them, b1, b2, b3 and b4 represent the weights of the comprehensive mining hazard assessment corresponding to the set front mining wall layer, surface layer, roof rock layer and side wall layer, respectively, b1+b2+b3+b4=1; The comprehensive mining hazard level of the target mine in coal mining is compared with the comprehensive mining hazard level intervals corresponding to each mining hazard level stored in the database. If the comprehensive mining hazard level of the target mine in coal mining is within the comprehensive mining hazard level interval corresponding to a certain mining hazard level, then the mining hazard level will be used as the mining hazard level of the target mine in coal mining.

10. A storage medium, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the coal mine geological data analysis method as described in any one of claims 1-9.

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