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

Abstract

The present application relates to the technical field of coal mine geological data analysis, and specifically discloses a coal mine geological data analysis method based on three-dimensional modeling technology and a storage medium, which comprises the following steps: mine three-dimensional model construction, front mining wall danger analysis, mine surface mining danger analysis, roof stratum mining danger analysis, side wall mining danger analysis, and mine mining danger grade evaluation; the present application comprehensively analyzes the mining safety from four angles of the front mining wall, the surface, the roof stratum and the left and right side walls of the mine, improves the comprehensiveness of the mine mining safety analysis, analyzes the mining safety of the surface layer according to the surface deformation and the surface water pressure, improves the accuracy of the mining safety analysis of the surface layer, analyzes the mining safety of the roof stratum according to the rock thickness change and the overburden pressure change, and reduces the risk of mine collapse in the mining process.

Description

TECHNICAL FIELD

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

[0002] In the process of coal mining, accurate analysis of geological data is crucial. Traditional coal mine geological data is mostly presented in two-dimensional form, which has the problems of not being intuitive in expressing complex geological structures, and being difficult to accurately reflect spatial relationships and geological characteristics. With the development of computer technology and three-dimensional modeling technology, three-dimensional modeling of coal mine geological data and analysis based thereon have become an important means to improve the efficiency and safety of coal mining.

[0003] For example, a patent with the patent number CN117371175A discloses a mine water prevention and isolation coal (rock) pillar stability discrimination method, which includes: analyzing the hydrogeological conditions of the mine area, judging the spatial relationship between the coal (rock) pillar and the underground engineering, collecting the roadway coal seam mining thickness, mining depth h, the width of the water prevention and isolation coal (rock) pillar that has been left, the average unit weight of the overlying strata, the uniaxial compressive strength of the coal (rock) pillar, the uniaxial tensile strength, the internal friction angle, the cohesion, the water immersion weakening coefficient, the average water pressure of the directly water-filled aquifer, and the number of disturbed spaces; calculating the maximum width required for the water prevention and isolation coal (rock) to be left, the maximum water pressure that the currently left water prevention and isolation coal (rock) can withstand, and the stability safety factor of the water prevention and isolation coal (rock) pillar; determining the safety risk level of the mine water prevention and isolation coal (rock) pillar according to the stability safety factor of the water prevention and isolation coal (rock) pillar. The present application can reasonably and scientifically judge the stability of the coal mine water prevention and isolation coal (rock) pillar, and better protect the safety of mine production.

[0004] For example, a patent with the patent number CN106339528B discloses a method for predicting the range of surface movement induced by open-pit iron mine end-slope underground mining, which includes: constructing an equivalent jointed rock mass model of the open-pit mine end-slope ore body mining area, simulating the movement and damage law of the rock stratum and the surface induced by the open-pit mine end-slope slope ore body mining; parameter back analysis of the equivalent jointed rock mass model: using orthogonal test and numerical simulation to invert the mechanical parameters of the joint surface, obtaining the optimal mechanical parameters of the joint surface; prediction of the surface movement range induced by open-pit mine end-slope ore body mining: using the equivalent jointed rock mass model to simulate the open-pit end-slope ore body mining, calculating the displacement of each point on the surface along the X, Y, and Z directions and drawing the displacement contour map, selecting the boundary of the surface movement range, and thus predicting the surface movement range; using the present application to analyze the surface movement of open-pit mine end-slope underground mining, the deformation and damage state of the surface at different mining stages can be determined, which provides a basis for safe production and avoids personnel casualties and property losses caused by surface movement and subsidence.

[0005] The prior art has the following problems: 1. The current mining safety analysis of the mine involves a single angle, and does not comprehensively analyze the mining safety from the front mining wall, the ground surface, the roof rock layer and the left and right side walls of the mine. Monitoring from a single angle will result in fragmented data, and a complete safety monitoring system cannot be formed, which reduces the comprehensiveness of the mining safety analysis of the mine and cannot accurately assess the mining risk of the mine.

[0006] 2. In the mining safety analysis of the ground surface, the mining safety of the ground surface is not comprehensively analyzed from the ground surface deformation and the ground surface water pressure. The ground surface deformation and the ground surface water pressure are interrelated, and lack of comprehensive analysis makes it difficult to assess the chain reaction risk between them, reduces the accuracy of the mining safety analysis of the ground surface, and cannot provide effective data support for subsequent comprehensive mining risk level assessment.

[0007] 3. In the mining safety analysis of the roof rock layer, the mining safety is not comprehensively analyzed according to the rock thickness variation of the roof rock and the pressure variation of the overburden rock. The change of the roof rock layer cannot be dynamically and intuitively displayed, which increases the risk of mine collapse during mining, reduces the safety during mining of the mine, and thus seriously threatens the life safety of the mining personnel. SUMMARY

[0008] To solve the above problems, the present application provides a coal mine geological data analysis method based on three-dimensional modeling technology and a storage medium, which effectively solves the problems mentioned in the background art.

[0009] The technical solution adopted by the present application to solve its technical problems is as follows: In the first aspect, the present application provides a coal mine geological data analysis method based on three-dimensional modeling technology, comprising the following steps: S1, mine three-dimensional model construction: scanning the target mine by a drone to obtain a target mine image, and importing the target mine image into modeling software to automatically generate a three-dimensional model of the target mine.

[0010] S2, front mining wall risk analysis: locating the position coordinates of each monitoring point in the front mining wall from the three-dimensional model of the target mine, and collecting the gas content of each area in the front mining wall, to analyze the mining risk of the target mine in the front mining wall layer.

[0011] S3, mine ground surface mining risk analysis: collecting the elevation and groundwater pressure of each observation point on the ground surface of the target mine at each monitoring time point, and locating the three-dimensional coordinate values of each observation point on the ground surface of the target mine at each monitoring time point from the three-dimensional model of the target mine, to analyze the mining risk of the target mine in the ground surface layer.

[0012] S4, roof strata mining risk analysis: collect the rock thickness of each detection point on the roof rock of the target mine and the pressure of each pressure point in the overburden strata corresponding to each monitoring time period, and analyze the mining risk of the target mine at the roof strata level.

[0013] S5, side wall mining risk analysis: collect the corresponding crack number and crack extension length of each region in the left and right side walls of the target mine, and analyze the mining risk of the target mine at the side wall level.

[0014] S6, mine mining risk level evaluation: evaluate the mining risk level of the target mine in coal mining, and feedback the mining risk level in time.

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

[0016] Compared with the prior art, the present application has the following advantages and positive effects: (1) the present application comprehensively analyzes the mining safety from four angles of the front mining wall, the ground, the roof strata and the left and right side walls, realizes multi-angle and multi-dimension of mine safety analysis, forms a complete safety monitoring system, improves the comprehensiveness of mine safety analysis, and helps to accurately evaluate the mining risk of the mine.

[0017] (2) The present application comprehensively analyzes the mining safety of the ground surface from two aspects of ground surface deformation and ground water pressure, and the ground surface deformation and ground water pressure are related to each other, and the comprehensive analysis can evaluate the chain reaction risk between them, improve the accuracy of the mining safety analysis of the ground surface, and provide effective data support for the subsequent comprehensive mining risk level evaluation.

[0018] (3) The present application realizes dynamic and intuitive display of the change of the roof strata by comprehensively analyzing the rock thickness change of the roof rock and the pressure change of the overburden strata, reduces the risk of mine collapse in the mining process, improves the safety in the mining process, and avoids serious threat to the life safety of the mining personnel. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 A flow chart of the method of the present application.

[0021] Figure 2 A structural diagram of the computer readable storage medium of the present application.

[0022] Figure 3 A flow chart of the mining danger level confirmation of the present application. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0024] Embodiment 1

[0025] Please refer to Figure 1 As shown in the figure, the coal mine geological data analysis method based on three-dimensional modeling technology comprises the following steps: S1, mine three-dimensional model construction: scanning the target mine by a drone to obtain a target mine image, and importing the target mine image into modeling software to automatically generate a three-dimensional model of the target mine.

[0026] S2, analysis of the danger degree of the front mining wall: positioning the position coordinates of each monitoring point in the front mining wall from the three-dimensional model of the target mine, and collecting the gas content of each region in the front mining wall, and analyzing the mining danger degree of the target mine at the level of the front mining wall.

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

[0028] In the specific embodiments of the present application, the specific process of analyzing the mining danger degree of the target mine at the level of the front mining wall is: based on the position coordinates of each monitoring point in the front mining wall of the target mine, calculating the position offset degree β of the front mining wall of the target mine.

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

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

[0031] calculating the position offset 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 of the x-axis, y-axis and z-axis of the set permission respectively.

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

[0033] calculating the gas safety degree χ of the front mining wall of the target mine in mining based on the gas content of each region in the front mining wall.

[0034] It should be noted that the specific process of calculating the gas safety degree χ of the front mining wall of the target mine in mining is as follows: the gas content of each region in the front mining wall is averaged to obtain the average gas content in the front mining wall, and is denoted as σ.

[0035] calculating the gas safety degree χ of the front mining wall of the target mine in mining, wherein σ' represents the set permission gas content of the front mining wall in the safe mining condition.

[0036] It should be noted that the set permission gas content of the front mining wall in the safe mining condition is specified by the mine safety mining industry standard.

[0037] calculating the mining danger degree δ of the target mine at the level of the front mining wall 前 , wherein a1 and a2 respectively represent the set position offset degree and gas safety degree corresponding to the mining danger degree evaluation proportion weight at the level of the front mining wall, a1+a2=1.

[0038] In specific embodiments of the present application, the set value of a1 is 0.4, and the set value of a2 is 0.6. When calculating the mining danger degree of the front mining wall 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. Only in the allocation of resources and energy, more attention may need to be paid to the control and evaluation of the gas safety degree, while combining the monitoring and adjustment of the position offset degree, to achieve comprehensive mining danger degree evaluation and safety guarantee.

[0039] S3, mine surface mining risk analysis: collecting the elevation and groundwater pressure of each observation point on the surface of the target mine at each monitoring time point, positioning the three-dimensional coordinate values of each observation point on the surface of the target mine at each monitoring time point from the three-dimensional model of the target mine, and analyzing the mining risk of the target mine at the surface level.

[0040] It should be noted that the elevation refers to the distance of a point along the vertical line to the geoid, and for the elevation data of the surface observation point in the target mine, simply speaking, it is the height value of the observation point relative to a reference surface (geoid). The geoid is a closed surface that coincides with the average sea level and extends to the continents and islands, and it is the reference for measuring elevation. Leveling is a traditional and high-precision elevation measurement method, which uses the horizontal line of sight provided by the level to read the readings of the leveling rods erected at two points to determine the height difference between the two points, and then to obtain the elevation of the to-be-determined point.

[0041] It should 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, which is placed in the groundwater through a drilling method. The sensor converts the sensed water pressure change into an electrical signal, and then transmits the data to the monitoring system on the ground through a data transmission line or a wireless communication module, thereby realizing real-time and continuous monitoring of the water pressure.

[0042] In the specific embodiment of the present application, the specific process of analyzing the mining risk of the target mine at the surface level is: 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, calculating the surface deformation degree of the target mine

[0043] In the specific embodiment of the present application, the specific process of calculating the surface deformation degree of the target mine is: extracting the maximum value and the minimum value from the elevation of each observation point on the surface of the target mine at each monitoring time point, and recording them as and The maximum value and the minimum value are extracted at the same time, and the time interval between the maximum value and the minimum value is obtained, and is recorded as T j , wherein j represents the number of observation points, j = 1, 2,..., m.

[0044] The surface subsidence rate v of each observation point on the surface of the target mine is calculated j ,

[0045] 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), wherein g represents the number of monitoring time points, g = 1, 2,..., r.

[0046] The horizontal movement amount epsilon of each observation point on the surface of the target mine at each monitoring time point is calculated jg , wherein x j(g-1) and y j(g-1) respectively represent the x-axis coordinate value and the y-axis coordinate value of the jth observation point on the surface of the target mine at the g-1th monitoring time point.

[0047] The surface deformation degree of the target mine is calculated wherein v' and epsilon' respectively represent the set reference surface subsidence rate and the horizontal movement amount, 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 the horizontal movement amount are industry regulations of 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, the surface water pressure safety degree theta of the target mine is calculated.

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

[0051] The surface water pressure safety degree theta of the target mine is calculated wherein P 水 and delta P 水 respectively represent the set reference groundwater pressure and the groundwater pressure deviation.

[0052] The mining danger degree delta of the target mine at the surface level is calculated 地 , wherein a3 and a4 respectively represent the set surface deformation degree and the surface water pressure safety degree corresponding to the mining danger degree evaluation proportion weight of the surface level, and a3 + a4 = 1.

[0053] In specific embodiments of the present application, the set value of a3 is 0.5, and the set value of a4 is 0.5. In general, it is difficult to simply determine which of the surface deformation degree and the surface water pressure safety degree is more important, and they may both become key factors affecting the mining danger degree evaluation of the surface level in different situations. In actual mining danger degree evaluation, both should be considered in combination, and scientific evaluation indexes and weights should be developed according to the specific mining area environment and mining conditions.

[0054] The embodiment of the present application comprehensively analyzes the mining safety of the surface layer from two aspects of surface deformation and surface water pressure, the surface deformation and the surface water pressure are correlated, the comprehensive analysis can evaluate the risk of the chain reaction therebetween, improves the accuracy of the mining safety analysis of the surface layer, and simultaneously provides effective data support for subsequent comprehensive mining risk grade evaluation.

[0055] S4, roof rock mining risk degree analysis: collecting the rock thickness of each detection point on the roof rock of the target mine and the pressure of each pressure point in the overburden strata corresponding to each monitoring time period, and analyzing the mining risk degree of the target mine at the roof rock layer.

[0056] It should be noted that the rock thickness of each detection point on the roof rock of the target mine is collected by a geological radar monitoring method, electromagnetic waves emitted by the geological radar propagate in the roof rock, and when encountering the boundary surface of different media, reflection occurs, and by receiving and analyzing the reflected wave signal, the stratification and thickness of each layer in the roof rock can be determined, and then the thickness of the roof rock is obtained.

[0057] It should be noted that the pressure of each pressure point in the overburden strata corresponding to each monitoring time period is collected by a pressure sensor monitoring method, a pressure sensor is installed in the borehole between the roof and the overburden strata, the sensor 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 overburden strata at each monitoring point in real time.

[0058] In the specific embodiment of the present application, the specific process of analyzing the mining risk degree of the target mine at the roof rock layer is that the rock thickness of each detection point on the roof rock of the target mine is denoted as H p , wherein p represents the number of the detection point, and p=1, 2,..., q.

[0059] The rock thickness uniformity of the roof rock of the target mine is calculated , wherein 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, AH represents the rock thickness deviation of the set reference, and e represents a natural constant.

[0060] Based on the pressure of each pressure point in the overburden strata of the target mine corresponding to each monitoring time period, the pressure uniformity of the overburden strata of the target mine is calculated

[0061] In specific embodiments of the present application, the specific process of calculating the pressure uniformity corresponding to the overburden strata of the target mine is: comparing the pressure of each pressure point in the overburden strata of the target mine corresponding to each monitoring time period with the safety pressure value corresponding to the overburden strata stored in the database to obtain the pressure deviation of each pressure point in the overburden strata corresponding to each monitoring time period, and extracting the maximum pressure deviation therefrom, denoted as ΔP f wherein f represents the number of pressure points, f = 1, 2, …, d.

[0062] The pressure difference coefficient ρ corresponding to the overburden strata of the target mine is calculated, wherein ΔP represents the set permitted pressure deviation, and d represents the number of pressure points.

[0063] The maximum pressure and the minimum pressure are extracted from the pressure corresponding to each monitoring time period of each pressure point in the overburden strata of the target mine, respectively, and denoted as and

[0064] The pressure fluctuation coefficient ω corresponding to the overburden strata of the target mine is calculated, wherein ΔP' represents the set permitted pressure extreme difference.

[0065] The pressure uniformity corresponding to the overburden strata of the target mine is calculated wherein ρ' and ω' represent the set reference pressure difference coefficient and pressure fluctuation coefficient, respectively.

[0066] The mining risk degree δ of the target mine at the roof strata level is calculated 顶 , wherein λ1 and λ2 represent the set rock thickness uniformity and pressure uniformity corresponding to the mining risk degree evaluation proportion weight of the roof strata level, respectively, λ1 + λ2 = 1.

[0067] In specific embodiments of the present application, the set value of λ1 is 0.6, and the set value of λ2 is 0.4. In summary, when calculating the mining risk degree of the target mine at the roof strata level, the rock thickness uniformity may be more important. Because it directly determines the bearing capacity of the roof, and the uneven bearing capacity will lead to more direct and rapid roof collapse risk. However, the pressure uniformity cannot be ignored, because it reflects the stress state of the roof and is an important factor affecting the long-term stability of the roof.

[0068] The embodiments of the present application realize dynamic and intuitive display of the change of the roof strata by comprehensively analyzing the rock thickness change of the roof rock and the pressure change of the overburden strata, reduce the risk of mine collapse during mining, improve the safety during the mining process of the mine, and thus avoid serious threats to the life safety of the mining personnel.

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

[0070] It should be noted that the collection method of the number of cracks and the extension length of each crack corresponding to each region in the left side wall and the right side wall of the target mine is: 1) image collection: determine to install a camera in each region of the left side wall and the right side wall, and ensure that the condition of the side wall can be completely recorded, 2) image preprocessing: pre-process the collected images, including denoising, contrast enhancement and other operations, to improve 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 pre-processed images, 4) extraction and quantification of crack information: calculate the length and number of the identified cracks through image processing technology.

[0071] In specific embodiments of the present application, the specific process of analyzing the mining risk of the target mine at the level of the side wall is: adding up the number of cracks corresponding to each region 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, and denoted as μ.

[0072] Extract the maximum value from the extension length of each crack corresponding to each region in the left side wall of the target mine, and denote it as l t , wherein t represents the number of regions, t = 1, 2,..., c.

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

[0074] Based on the number of cracks and the extension length of each crack corresponding to each region in the right side wall of the target mine, the cracking degree ξ 右 corresponding to the right side wall of the target mine is analyzed in the same way as the cracking degree corresponding to the left side wall of the target mine.

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

[0076] In specific embodiments of the present application, the set value of a5 is 0.5, and the set value of a6 is 0.5. In general, it cannot be simply said which of the left side wall and the right side wall is more important. When evaluating the mining risk level of the side wall, the left and right side walls need to be comprehensively evaluated.

[0077] S6, mine mining risk level evaluation: evaluating the mining risk level of the target mine in coal mining, and feeding back the mining risk level in time.

[0078] In specific embodiments of the present application, the specific process of evaluating the mining risk level of the target mine in coal mining is: calculating the comprehensive mining risk degree δ of the target mine in coal mining 综 , Wherein, b1, b2, b3 and b4 respectively represent the set front mining wall layer, surface layer, roof rock layer and side wall layer corresponding comprehensive mining risk degree evaluation proportion weight, b1+b2+b3+b4=1.

[0079] In specific embodiments of the present application, 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 layers are not isolated, but are interrelated. In different mines and mining stages, the importance of each layer is different. The comprehensive mining risk degree evaluation needs to consider multiple layers such as front mining wall, surface, roof rock and side wall. Each layer may become a key factor affecting mining safety under different conditions, and a comprehensive and dynamic evaluation system needs to be established to ensure the safety and sustainable development of coal mining.

[0080] Please refer to Figure 3 The comprehensive mining risk degree of the target mine in coal mining is compared with the comprehensive mining risk degree interval corresponding to each mining risk level stored in the database. If the comprehensive mining risk degree of the target mine in coal mining is located in the comprehensive mining risk degree interval corresponding to a certain mining risk level, the mining risk level is taken as the mining risk level of the target mine in coal mining.

[0081] The embodiments of the present application comprehensively analyze the mining safety from four angles of the front mining wall, surface, roof rock and left and right side walls of the mine, realize multi-angle and multi-dimension of mine mining safety analysis, form a complete safety monitoring system, improve the comprehensiveness of mine mining safety analysis, and help accurately evaluate the mining risk of the mine.

[0082] Embodiment 2

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

[0084] The above is only an example and a description of the concept of the application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace, as long as the concept of the application is not deviated or the scope defined by the application is not exceeded, which shall belong to the protection scope of the application.

Claims

1. A method for analyzing coal mine geological data based on three-dimensional modeling technology, characterized in that, Comprise the following steps: S1, mine three-dimensional model construction: through unmanned aerial vehicle scanning target mine, get target mine image, import target mine image into modeling software to automatically generate three-dimensional model of target mine; S2, the analysis of the danger degree of the front mining wall: the position coordinates of each monitoring point in the front mining wall are located from the three-dimensional model of the target mine, and the gas content of each region in the front mining wall is collected, and the danger degree of mining of the target mine in the front mining wall is analyzed; S3, the analysis of the danger degree of the mine surface mining: the elevation and groundwater pressure of each observation point on the surface of the target mine at each monitoring time point are collected, and the three-dimensional coordinate values of each observation point on the surface of the target mine at each monitoring time point are located from the three-dimensional model of the target mine, and the danger degree of mining of the target mine on the surface is analyzed; S4, the analysis of the danger degree of the roof rock mining: the rock thickness of each detection point on the roof rock of the target mine and the pressure of each pressure point in the overburden stratum corresponding to each monitoring time period are collected, and the danger degree of mining of the target mine in the roof rock layer is analyzed; S5, the analysis of the danger degree of the side wall mining: the number of cracks and the extension length of each crack in each region of the left and right side walls of the target mine are collected, and the danger degree of mining of the target mine in the side wall layer is analyzed; S6, the evaluation of the danger level of the mine mining: the danger level of the target mine in the coal mine mining is evaluated, and the danger level of mining is fed back in time; The specific process of analyzing the danger degree of the target mine in the roof rock layer is: The rock thickness of each detection point on the roof rock of the target mine is recorded as wherein, represents the number of the detection point, ; Calculate the uniformity of rock thickness corresponding to the roof rock of the target mine. , ,in, Indicates the number of detection points. Indicates the first on the roof rock of the target mine Rock thickness at each testing point This indicates the rock thickness deviation set as a reference. Represents the natural constant; Based on the pressure of each pressure point in the overburden strata of the target mine in each monitoring time period, the pressure uniformity of the overburden strata of the target mine is calculated ; The mining danger degree of a target mine at a roof stratum level is calculated , , wherein, and respectively represent the set rock thickness uniformity and pressure uniformity corresponding to the proportion weight of the roof stratum level mining danger degree evaluation, .

2. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 1, characterized in that: The specific process of analyzing the danger degree of the target mine in the front mining wall layer is: Based on the position coordinates of each monitoring point in the front mining wall of the target mine, the position offset degree of the front mining wall of the target mine is calculated ; Based on the gas content of each region in the front mining wall, the gas safety degree of the front mining wall in the target mine during mining is calculated ; The mining danger degree of the target mine at the front mining wall level is calculated , , wherein and respectively represent the set position offset degree and the gas safety degree corresponding to the evaluation proportion weight of the mining danger degree of the front mining wall level .

3. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 2, characterized in that: The specific process of calculating the position offset degree of the front mining wall of the target mine is: The initial positions of the monitoring points in the front mining wall of the target mine are extracted from the database and brought into the three-dimensional model of the target mine to obtain initial position coordinates of the monitoring points, denoted as wherein, indicates the number of the monitoring point, ; The position coordinates of each monitoring point in the front mining wall of the target mine are recorded as ; Calculate the position deviation index of each monitoring point in the front mining wall of the target mine , , , , , , , respectively represent the position deviation value corresponding to the set permission Calculating the position offset of a front mining wall of a target mine , , wherein denotes the number of monitoring points.

4. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 2, characterized in that: The specific process of analyzing the danger degree of the target mine on the surface layer is: Based on the elevation and three-dimensional coordinate values of each observation point on the ground surface of the target mine at each monitoring time point, the ground surface deformation degree of the target mine is calculated ; Based on the groundwater pressure of each observation point on the surface of the target mine at each monitoring time point, the surface water pressure safety degree of the target mine is calculated ; The mining danger degree of a target mine at a surface level is calculated , , wherein, and respectively represent the set surface deformation degree and the surface water pressure safety degree corresponding to the surface level mining danger degree evaluation proportion weight, .

5. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 4, characterized in that: The specific process of calculating the surface deformation degree of the target mine is: The maximum value and the minimum value are extracted from the elevation of each observation point on the ground surface of the target mine at each monitoring time point, and are respectively denoted as and The monitoring time point corresponding to the maximum value and the minimum value is extracted at the same time, the time interval length between the maximum value and the minimum value is obtained, and is denoted as wherein, The number of observation points is denoted as ; Calculate the subsidence rate of each observation point on the surface of the target mine , ; The three-dimensional coordinate values of each observation point on the surface of the target mine at each monitoring time point are denoted as wherein, denotes the number of the monitoring time point, ; Calculate the horizontal movement of each observation point on the surface of the target mine at each monitoring time point. , ,in, and These represent the nth surface level of the target mine. The observation point at the ... x-axis and y-axis coordinates at each monitoring time point; Calculating ground deformation degree of target mine , wherein, and respectively represent a set reference ground subsidence rate and horizontal movement amount, represents the number of observation points, represents the number of monitoring time points.

6. The coal mine geological data analysis method based on a three-dimensional modeling technique according to claim 1, characterized in that: The specific process of calculating the pressure uniformity of the overburden stratum corresponding to the target mine is: The pressure of each pressure point in the overburden stratum of the target mine at each monitoring time period is compared with the corresponding safety pressure value of the overburden stratum stored in the database, to obtain the pressure deviation of each pressure point in the overburden stratum at each monitoring time period, and the maximum pressure deviation is extracted therefrom and recorded as wherein represents the number of the pressure point, ; Calculate the pressure difference coefficient corresponding to the overburden of a target mine , wherein denotes a set permitted pressure deviation, denotes the number of pressure points; The maximum pressure and the minimum pressure are extracted from the pressure of each pressure point in the overburden strata of the target mine in each monitoring time period, and are denoted as Pmax and Pmin, respectively and ; Calculate the pressure fluctuation coefficient corresponding to the overburden of the target mine , , wherein represents the set permitted pressure extreme difference; Calculate the pressure uniformity corresponding to the overburden of the target mine , wherein and respectively represent the pressure difference coefficient and the pressure fluctuation coefficient set as a reference.

7. The coal mine geological data analysis method based on a three-dimensional modeling technique according to claim 1, characterized in that: The specific process of analyzing the danger degree of the target mine in the side wall layer is: The number of cracks in each region of 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, and is denoted as ; The maximum value is extracted from the extension length of each crack corresponding to each region of the left side wall of the target mine, and is recorded as wherein, represents the number of regions, ; calculating a cracking degree corresponding to a left side wall of the target mine , wherein, and respectively represent a set permitted crack number and a crack safety extension length, represents a region number; Based on the number of cracks and the extension length of each crack in each region of the right side wall of the target mine, the cracking degree of the right side wall of the target mine is analyzed in the same way as the cracking degree of the left side wall of the target mine ; The mining danger degree of a target mine at a side slope wall level is calculated , , wherein, , respectively represent the evaluation proportion weight of the mining danger degree of the set left side slope wall and right side slope wall corresponding to the side slope wall level, .

8. The coal mine geological data analysis method based on three-dimensional modeling technology according to claim 7, characterized in that: The specific process of evaluating the danger level of the target mine in the coal mine mining is: The comprehensive mining danger degree of a target mine in coal mining is calculated , , , , , respectively represent the set front mining wall layer, ground layer, roof rock layer and side wall layer corresponding comprehensive mining danger degree evaluation proportion weight, ; The comprehensive mining danger degree of the target mine in the coal mine mining is compared with the comprehensive mining danger degree interval corresponding to each mining danger level stored in the database, if the comprehensive mining danger degree of the target mine in the coal mine mining is located in the comprehensive mining danger degree interval corresponding to a mining danger level, the mining danger level is taken as the mining danger level of the target mine in the coal mine mining.

9. A storage medium characterized by: The storage medium stores one or more programs, which can be executed by one or more processors to implement the steps in the coal mine geological data analysis method of any one of claims 1-8.

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