Method and device for determining shape of crack in coal pillar dam body and program product

Abstract

The invention discloses a method and device for determining the shape of a crack in a coal pillar dam body and a program product. The method comprises the steps that at least one piece of initial multi-source detection data at at least one target position in the coal pillar dam body is acquired, and the initial multi-source detection data are used for representing the structure of the coal pillar dam body at the target position; based on the at least one piece of initial multi-source detection data, multiple pieces of position information corresponding to cracks in the coal pillar dam body are determined; the multiple pieces of position information are mapped to a first three-dimensional geologic body corresponding to the coal pillar dam body, space communication information of the fracture is obtained, and the space communication information is used for at least representing the shape of the fracture in at least one area of the coal pillar dam body; based on the spatial communication information, mapping the fissure from the first three-dimensional geologic body to a second three-dimensional geologic body; and determining the shape of the fracture in the area based on the second three-dimensional geologic body mapped with the space communication information. The technical problem that the monitoring accuracy of the coal pillar dam body crack is low is solved.

Description

Technical Field

[0001] The present application relates to the field of energy processing, and in particular, to a method, device and program product for determining the shape of a crack in a coal pillar dam. Background Art

[0002] In recent years, during the coal mining process, the working conditions of the coal pillar dam are relatively complex. The coal pillar dam is subject to the combined effects of overburden pressure, mine pressure and water pressure. Once an earthquake or mining tremor caused by mining occurs, it will cause water to gush out of the reservoir, threatening the safety of underground production. Therefore, it is of great significance to carry out crack detection in the coal pillar dam.

[0003] In order to better conduct detailed detection of cracks in coal pillar dams, geological drilling verification is usually carried out at a suitable geographical location. However, this method only uses a small part of the existing data to interpret the results, which may result in deviations and errors, and there is a technical problem of low monitoring accuracy of cracks in coal pillar dams.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a method, device and program product for determining the shape of cracks in a coal pillar dam, so as to at least solve the technical problem of low monitoring accuracy of cracks in a coal pillar dam.

[0006] According to one aspect of an embodiment of the present application, a method for determining the shape of a crack in a coal pillar dam is provided, and the method may include: obtaining at least one initial multi-source detection data at at least one target position in the coal pillar dam, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; based on the at least one initial multi-source detection data, determining multiple position information corresponding to the crack in the coal pillar dam; mapping the multiple position information to a first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the crack, wherein the spatial connectivity information is used to at least characterize the shape of the crack in at least one area of ​​the coal pillar dam; based on the spatial connectivity information, mapping the crack from the first three-dimensional geological body to a second three-dimensional geological body, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam; and determining the shape of the crack in the area based on the second three-dimensional geological body mapped with the spatial connectivity information.

[0007] Optionally, based on at least one initial multi-source detection data, multiple position information corresponding to cracks in the coal pillar dam is determined, including: converting the initial multi-source detection data to obtain target multi-source detection data, wherein the initial multi-source survey data includes at least one of the following: optical image data, acoustic wave data, and electromagnetic wave reflection data; based on the target multi-source detection data, determining the position information.

[0008] Optionally, obtaining at least one initial multi-source detection data at at least one target position in the coal pillar dam includes: obtaining optical image data collected at the target position by a hole wall imaging unit in the detection device; obtaining acoustic wave data collected at the target position by an acoustic wave unit in the detection device; and obtaining electromagnetic wave reflection data collected at the target position by a radar unit in the detection device.

[0009] Optionally, the initial multi-source detection data is converted to obtain target multi-source detection data, including: respectively converting the optical image data, acoustic wave data and electromagnetic wave reflection data in the initial multi-source detection data to obtain target multi-source detection data, wherein the target multi-source detection data may at least include: converted optical image data, converted acoustic wave data and converted electromagnetic wave reflection data.

[0010] Optionally, the optical image data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: constructing an image matrix; mapping the optical image data to the image matrix to obtain target multi-source detection data.

[0011] Optionally, the acoustic wave data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: constructing an acoustic wave matrix; mapping the acoustic wave data to the acoustic wave matrix to obtain target multi-source detection data.

[0012] Optionally, the electromagnetic wave reflection data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: sorting the electromagnetic wave reflection data to obtain target electromagnetic wave reflection data; mapping the target electromagnetic wave reflection data into a radar matrix to obtain target multi-source detection data.

[0013] Optionally, based on the target multi-source detection data, the position information is determined, including: binarizing the converted optical image data to obtain first position information of cracks in a first area among multiple areas; quantizing the converted acoustic wave data to obtain second position information of cracks in a second area among multiple areas, wherein the distance between the second area and the borehole in the coal pillar dam is greater than the distance between the first area and the borehole; and wavelet transforming the converted electromagnetic wave reflection data to obtain third position information of cracks in a third area among multiple areas, wherein the distance between the third area and the borehole in the coal pillar dam is greater than the distance between the second area and the borehole.

[0014] According to another aspect of an embodiment of the present application, a device for determining the shape of a crack in a coal pillar dam is also provided, and the device may include: an acquisition unit, used to acquire at least one initial multi-source detection data at at least one target position in the coal pillar dam, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; a first determination unit, used to determine multiple position information corresponding to the crack in the coal pillar dam based on the at least one initial multi-source detection data; a first mapping unit, used to map the multiple position information to a first three-dimensional geological body corresponding to the coal pillar dam, and obtain spatial connectivity information of the crack, wherein the spatial connectivity information is used to at least characterize the shape of the crack in at least one area of ​​the coal pillar dam; a second mapping unit, used to map the crack from the first three-dimensional geological body to a second three-dimensional geological body based on the spatial connectivity information, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam; a second determination unit, used to determine the shape of the crack in the area based on the second three-dimensional geological body mapped with the spatial connectivity information.

[0015] According to another aspect of an embodiment of the present application, a computer-readable storage medium is also provided, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method for determining the shape of cracks in a coal pillar dam body of an embodiment of the present application.

[0016] According to another aspect of an embodiment of the present application, a processor is further provided, the processor being used to run a program, wherein when the program is run by the processor, the method for determining the shape of a crack in a coal pillar dam body of an embodiment of the present application is executed.

[0017] According to another aspect of an embodiment of the present application, a computer program product is also provided, which includes computer instructions, wherein when the computer instructions are executed by a processor, the method for determining the shape of cracks in a coal pillar dam according to an embodiment of the present application is implemented.

[0018] In an embodiment of the present application, at least one initial multi-source detection data at at least one target position in a coal pillar dam is obtained, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; based on the at least one initial multi-source detection data, multiple position information corresponding to cracks in the coal pillar dam is determined; the multiple position information is mapped to a first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the cracks, wherein the spatial connectivity information is used to at least characterize the shape of the cracks in at least one area of ​​the coal pillar dam; based on the spatial connectivity information, the cracks are mapped from the first three-dimensional geological body to a second three-dimensional geological body, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam; based on the second three-dimensional geological body mapped with the spatial connectivity information, the shape of the cracks in the area is determined. That is to say, in an embodiment of the present application, initial multi-source detection data at a target position in a coal pillar dam is collected, and based on the initial multi-source detection data, multiple position information of cracks in different regions is determined, and the multiple position information can be mapped to a first three-dimensional geological body to obtain spatial connectivity information of the cracks. Furthermore, based on the spatial connectivity information, the cracks can be mapped from the first three-dimensional geological body to a second three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam. Thus, from the mapped second three-dimensional geological body, the shape of the cracks in the coal pillar dam can be determined, thereby solving the technical problem of low monitoring accuracy of cracks in the coal pillar dam and achieving the technical effect of improving the monitoring accuracy of cracks in the coal pillar dam. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] Figure 1 is a flow chart of a method for determining the shape of a crack in a coal pillar dam according to an embodiment of the present application;

[0021] Figure 2 is a schematic diagram of a three-dimensional geological body grid according to an embodiment of the present application;

[0022] Figure 3 is a schematic diagram of estimating the connectivity of fractures at the same scale according to an embodiment of the present application;

[0023] Figure 4 is a schematic diagram of multi-scale fracture connectivity estimation according to an embodiment of the present application;

[0024] Figure 5 is a schematic diagram of three-dimensional visualization of a borehole surrounding rock geological body according to an embodiment of the present application;

[0025] Figure 6 It is a schematic diagram of the vertical structural layout of a borehole detection device according to an embodiment of the present application;

[0026] Figure 7 is a schematic diagram of the horizontal structural layout of a borehole detection device according to an embodiment of the present application;

[0027] Figure 8 is a schematic diagram of the structural layout of a directional scanning control unit according to an embodiment of the present application;

[0028] Fig. 9 is a schematic diagram of the horizontal structural layout of a directional scanning control unit according to an embodiment of the present application;

[0029] Fig.10 is a schematic diagram of a small-scale crack visualization according to an embodiment of the present application;

[0030] Fig.11 is a schematic diagram of a mesoscale crack visualization according to an embodiment of the present application;

[0031] Fig.12 is a schematic diagram of large-scale crack visualization according to an embodiment of the present application;

[0032] Fig.13 is a flow chart of a method for detecting multi-scale fractures in surrounding rock of a coal pillar dam borehole according to an embodiment of the present application;

[0033] Fig.14 is a schematic diagram of a device for determining the shape of a crack in a coal pillar dam according to an embodiment of the present application;

[0034] Fig.15 is a structural block diagram of a computer terminal according to an embodiment of the present application;

[0035] Fig.16 It is a block diagram of an electronic device for a method for determining the shape of a crack in a coal pillar dam according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0037] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0038] According to an embodiment of the present application, an embodiment of a method for determining the shape of cracks in a coal pillar dam is provided. The steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0039] Figure 1 FIG. 1 is a flow chart of a method for determining the shape of a crack in a coal pillar dam according to an embodiment of the present application. Figure 1 As shown, the method may include the following steps:

[0040] Step S102, obtaining at least one initial multi-source detection data at at least one target position in the coal pillar dam, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position.

[0041] In the technical solution provided in the above step S102 of the present application, the above target position may be a pre-set position, may be different position points in the coal pillar dam, may include a position in the near field, a position in the far field and a position in the midfield of the coal pillar dam, may be a position inside the borehole of the coal pillar dam. It should be noted that this is only an example, and there is no specific restriction on the method of determining the target position. The above initial multi-source detection data can be used to determine the structure of the coal pillar dam at the target position, and may include hole wall image information, borehole depth information, acoustic wave data and electromagnetic wave reflection data, etc. It should be noted that this is only an example, and there is no specific restriction on the type of initial multi-source detection data. The above coal pillar dam may be a coal mine underground reservoir dam.

[0042] Step S104, based on at least one initial multi-source detection data, determining multiple position information corresponding to the cracks in the coal pillar dam.

[0043] In the technical solution provided in the above step S104 of the present application, based on at least one initial multi-source detection data, the situation of the crack at the target position can be determined, and based on at least one initial multi-source detection data corresponding to multiple target positions, multiple position information corresponding to the overall crack in the coal pillar dam can be determined. Among them, the above position information can be used to determine the position of the crack in the coal pillar dam, which can be spatial position information or plane position information. It should be noted that there is no specific restriction on the type of position information here.

[0044] Step S106, mapping the multiple position information to the first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the fracture, wherein the spatial connectivity information is used to at least characterize the shape of the fracture in at least one area of ​​the coal pillar dam.

[0045] In the technical solution provided in the above step S106 of the present application, after obtaining multiple position information, the position information can be mapped to the first three-dimensional geological body corresponding to the coal pillar dam to obtain the spatial connectivity information of the fracture. Among them, the above spatial connectivity information can be used to at least characterize the shape of the fracture in at least one area of ​​the coal pillar dam. The above first three-dimensional geological body can be a three-dimensional geological body grid, which can be a three-dimensional geological grid containing multiple cubes. It should be noted that this is only for example, and there is no specific limitation on the shape of the first three-dimensional geological body.

[0046] Optionally, Figure 2 is a schematic diagram of a three-dimensional geological body grid according to an embodiment of the present application, such as Figure 2 As shown, for the reconstruction of the first three-dimensional geological body network, first, a three-dimensional geological body grid D of H*N*K can be established to obtain the first three-dimensional geological body, wherein the number of cubes on the front of the three-dimensional geological body is H*N, the number of cubes on the top surface is H*N, and the number of cubes on the side is H*N, wherein the value of K can be 1+SM+RM, SM can be used to represent the maximum number of spatial structures in each element of the acoustic matrix SOIII, and RM can be used to represent the maximum number of spatial structures in each element of the radar matrix RAIII. It should be noted that the expression of the above parameters is only for example, and no specific limitation is made here.

[0047] Optionally, the first cube unit on the outside of the upper left corner of the three-dimensional geological body network can be represented by D[1][1][1], the ath cube unit from top to bottom, the bth cube unit from left to right, and the cth cube unit from outside to inside can be represented by D[a][b][c] respectively, and the last cube unit on the inside of the lower right corner of the three-dimensional geological body network can be represented by D[H][N][K].

[0048] Optionally, the optical image data in the initial multi-source detection data is processed to obtain a binary image matrix FIIII, and the binary image matrix can be mapped to the outermost cube in the first three-dimensional geological body, that is, D[1][1][1]ˉD[H][N][1], wherein FIIII[1][1] corresponds to D[1][1][1], and FIIII[i][j] corresponds to D[i][j][1]. If the total number of pixel values ​​1 in FIIII[i][j] is greater than half of the total pixel values ​​in FIIII[i][j], the amplitude of the D[i][j][1] cube is set to 1, presenting white, and regarded as a fracture unit. If the total number of pixel values ​​1 in FIIII[i][j] is not greater than half of the total pixel values ​​in FIIII[i][j], the amplitude of the D[i][j][1] cube is set to 0, presenting black, and regarded as a non-fracture unit, thereby completing the color mapping of the binary image matrix FIIII to the outermost cube of the three-dimensional geological body grid D.

[0049] Optionally, the acoustic wave data in the initial multi-source detection data is processed to obtain the acoustic wave matrix SOIII. The acoustic wave matrix can be mapped to the cube from the 2nd row to the SM+1th row on the outside, that is, D[1][1][2]ˉD[H][N][SM+1], where SOIII[1][1] corresponds to D[1][1][2]ˉD[1][1][SM+1], SOIII[i][j] corresponds to D[i][j][2]ˉD[i][j][SM+1], and the first spatial structure in SOIII[i][j] corresponds to D[i][j][2]. If the first spatial structure in SOIII[i][j] is white, then the D[i][j][2] cube has an amplitude of 1 and appears white, and is regarded as a crack unit. If the first spatial structure in SOIII[i][j] is black, then the D[i][j][2] cube has an amplitude of 0 and appears black, and is regarded as a non-crack unit. Fracture unit, the nth spatial structure in SOIII[i][j] corresponds to D[i][j][n+1]. If the nth spatial structure in SOIII[i][j] is white, then the D[i][j][n+1] cube has an amplitude of 1 and is white, and is regarded as a fracture unit. If the nth spatial structure in SOIII[i][j] is black, then the D[i][j][n+1] cube has an amplitude of 0 and is black, and is regarded as a non-fracture unit. If the number of spatial structures in SOIII[i][j] is less than SM, then the unassigned cubes in D[1][1][2]ˉD[H][N][SM+1] have an amplitude of 0 and are black, and are regarded as non-fracture units, completing the color mapping of the acoustic wave matrix SOIII to the three-dimensional geological body grid D from the outer second row to the SM+1 row of cubes.

[0050] Optionally, the electromagnetic wave reflection data in the initial multi-source detection data is processed to obtain a radar matrix. The radar matrix RAIII can be mapped to the cube from the outer row SM+2 to the outer row RM+1, that is, D[1][1][SM+2]ˉD[H][N][RM+1], where RAIII[1][1] corresponds to D[1][1][SM+2]ˉD[1][1][RM+1], RAIII[i][j] corresponds to D[i][j][SM+2]ˉD[i][j][RM+1], and the first spatial structure in RAIII[i][j] corresponds to D[i][j][SM+2]. If the first spatial structure in RAIII[i][j] is white, then the D[i][j][SM+2] cube has an amplitude of 1 and appears white, and is regarded as a crack unit. If the first spatial structure in RAIII[i][j] is black, then the D[i][j][SM+2] cube has an amplitude of 0 and appears black. The nth spatial structure in RAIII[i][j] corresponds to D[i][j][n+SM+2]. If the nth spatial structure in RAIII[i][j] is white, then the D[i][j][n+SM+2] cube has an amplitude of 1 and is white, and is regarded as a fracture unit. If the nth spatial structure in RAIII[i][j] is black, then the D[i][j][n+SM+2] cube has an amplitude of 0 and is black, and is regarded as a non-fracture unit. If the number of spatial structures in RAIII[i][j] is less than RM, then the unassigned cubes in D[1][1][SM+2]ˉD[H][N][RM+1] have an amplitude of 0 and are black, and are regarded as non-fracture units. This completes the color mapping of the radar matrix RAIII to the three-dimensional geological grid D from the outer SM+2 row to the RM+1 row of cubes.

[0051] Figure 3 is a schematic diagram of estimating the connectivity of fractures at the same scale according to an embodiment of the present application, such as Figure 3 As shown in the figure, for the connectivity estimation of fractures of the same scale, the number LT of connected white cubes in the same row in the three-dimensional geological grid D can be counted. If D[i][j][m] is white, take this point as the starting point and search the surrounding 8 cubes D[i-1][j][m], D[i-1][j-1][m], D[i][j-1][m], D[i+1][j-1][m], D[i+1][j][m], D[i+1][j+1][m], D[i][j+1][m], and D[i-1][j+1][m] respectively. If the value of the searched cube is 1, LT+1 is added, and the search is continued with this cube as the starting point until the values ​​of the searched surrounding 8 cubes are 0, that is, the connectivity search and estimation of fractures of the same scale are completed, and the spatial connectivity information can be obtained.

[0052] Figure 4 is a schematic diagram of a multi-scale fracture connectivity estimation according to an embodiment of the present application, such as Figure 4 As shown in the figure, for the estimation of multi-scale fracture connectivity, the number DT of connected white cubes in different rows and columns in the three-dimensional geological grid D can be counted. If D[i][j][m] is white, take this point as the starting point and search the surrounding 8 cubes D[i-1][j-1][m-1], D[i+1][j-1][m-1], D[i+1][j+1][m-1], D[i-11][j+1][m-1], D[i-1][j-1][m+1], D[i+1][j-1][m+1], D[i+1][j+1][m+1], D[i-1][j+1][m+1] respectively. If the value of the searched cube is 1, DT+1 is added, and the search is continued with this cube as the starting point until the values ​​of the searched surrounding 8 cubes are 0, that is, the connectivity search and estimation of multi-scale fractures are completed.

[0053] Step S108, based on the spatial connectivity information, mapping the fracture from the first three-dimensional geological body to the second three-dimensional geological body, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam.

[0054] In the technical solution provided in the above step S108 of the present application, after obtaining the spatial connectivity information, the fracture can be mapped from the first three-dimensional geological body to the second three-dimensional geological body based on the spatial connectivity information. The shape of the second three-dimensional geological body can be the same as the shape of the coal pillar dam, that is, the shape of the second three-dimensional geological body can be a cylinder.

[0055] Optionally, the shape of the first three-dimensional geological body is a cube, and the shape of the second three-dimensional geological body is a cylinder. Therefore, it can be known that the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body.

[0056] Figure 5 is a schematic diagram of a three-dimensional visualization of a borehole surrounding rock geological body according to an embodiment of the present application, such as Figure 5 As shown in FIG. 1 , the second three-dimensional geological body may be a three-dimensional geological body grid in the shape of a cylinder, which can be used to display data such as the location and size of cracks in the coal pillar dam. Figure 5As shown, the cube 3D geological body grid D can be converted into a cylindrical 3D geological network T, that is, the fracture can be mapped from the first 3D geological body to the second 3D geological body based on the spatial connectivity information, thereby completing the 3D visualization of the borehole surrounding rock geological body. Among them, the center of the above cylindrical 3D geological network T can be hollow, which can represent the borehole, the inner side of the cylindrical 3D geological network T can represent the borehole rock wall, that is, the near field of the borehole surrounding rock, the middle of the cylindrical 3D geological network T represents the midfield, and the outer periphery of the cylindrical 3D geological network T can represent the far field of the borehole surrounding rock.

[0057] Optionally, the cylindrical three-dimensional geological network T can be composed of H*N*K sectors, the number of the cylindrical three-dimensional geological network T in the vertical direction can be H, the number of the cylindrical three-dimensional geological network T in the circumferential direction can be N, and the number of the cylindrical three-dimensional geological network T in the radial direction can be K. The first sector unit T[1][1][1] of the cylindrical three-dimensional geological network T is located on the inner side of the upper end of the cylindrical three-dimensional geological network T, representing the geographical north direction. The color of the cube three-dimensional geological body grid D can be mapped to the corresponding cylindrical three-dimensional geological network T in turn to obtain a second three-dimensional geological body, and the second three-dimensional geological body can be used to realize the three-dimensional visualization of the borehole surrounding rock geological body.

[0058] Step S110: determining the shape of the fracture in the region based on the second three-dimensional geological body mapped with spatial connectivity information.

[0059] In the technical solution provided in the above step S110 of the present application, the second three-dimensional geological body mapped with spatial connectivity information can be used to visualize the cracks in the coal pillar dam to determine the shape of the cracks in the area.

[0060] Optionally, after obtaining the initial multi-source detection data, multi-scale fracture connectivity estimation can be performed, which may include: three-dimensional geological body network reconstruction, same-scale fracture connectivity estimation, and multi-scale fracture connectivity estimation. Through multi-scale fracture connectivity estimation, three-dimensional visualization of the borehole surrounding rock geological body can be achieved.

[0061] Through the above-mentioned steps S102 and S110 of the present application, at least one initial multi-source detection data at at least one target position in the coal pillar dam is obtained, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; based on the at least one initial multi-source detection data, multiple position information corresponding to the cracks in the coal pillar dam is determined; the multiple position information is mapped to the first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the cracks, wherein the spatial connectivity information is used to at least characterize the shape of the cracks in at least one area of ​​the coal pillar dam; based on the spatial connectivity information, the cracks are mapped from the first three-dimensional geological body to the second three-dimensional geological body, wherein the shape of the second three-dimensional geological body is different from the shape of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as the shape of the coal pillar dam; based on the second three-dimensional geological body mapped with the spatial connectivity information, the shape of the cracks in the area is determined, thereby solving the technical problem of low monitoring accuracy of cracks in the coal pillar dam and achieving the technical effect of improving the monitoring accuracy of cracks in the coal pillar dam.

[0062] The above method of this embodiment is further introduced below.

[0063] As an optional implementation, step S104, based on at least one initial multi-source detection data, determines multiple position information corresponding to the cracks in the coal pillar dam, including: converting the initial multi-source detection data to obtain target multi-source detection data, wherein the initial multi-source survey data includes at least one of the following: optical image data, acoustic wave data and electromagnetic wave reflection data; based on the target multi-source detection data, determines the position information.

[0064] In this embodiment, the initial multi-source detection data is obtained, and the initial multi-source detection data can be converted to obtain the target multi-source detection data. Based on the target multi-source detection data, the position information can be determined. Among them, the above-mentioned initial multi-source detection data may include optical image data, acoustic wave data and electromagnetic wave reflection data. The above-mentioned optical image data can be the basic optical image data of the near field of the borehole surrounding rock, which can be used to determine the structural information of the coal pillar dam in the near field of the coal pillar dam. The above-mentioned acoustic wave data can be the basic full-pulse acoustic wave data of the midfield of the borehole surrounding rock, which can be used to determine the structural information of the coal pillar dam in the midfield of the coal pillar dam. The above-mentioned electromagnetic wave reflection data can be the basic electromagnetic wave reflection data of the far field of the borehole surrounding rock, which can be used to determine the structural information of the coal pillar dam in the far field of the coal pillar dam. It should be noted that this is only an example, and there is no specific limitation on the type of initial multi-source survey data, the characterization meaning of optical image data, acoustic wave data and electromagnetic wave reflection data.

[0065] Optionally, the borehole image data at at least one target position is collected to complete the collection of basic optical image data of the near field of the borehole surrounding rock. The borehole acoustic wave data at at least one target position can also be collected to complete the collection of basic full-pulse acoustic wave data of the middle field of the borehole surrounding rock. The borehole radar data at at least one target position can also be collected to complete the collection of basic electromagnetic wave reflection data of the far field of the borehole surrounding rock.

[0066] As an optional implementation, obtaining at least one initial multi-source detection data at at least one target position in the coal pillar dam includes: obtaining optical image data collected at the target position by a hole wall imaging unit in the detection device; obtaining acoustic wave data collected at the target position by an acoustic wave unit in the detection device; and obtaining electromagnetic wave reflection data collected at the target position by a radar unit in the detection device.

[0067] In this embodiment, the collection of initial multi-source detection data may include: using a hole wall imaging unit in the detection device to collect optical image data at the target position; using an acoustic wave unit in the detection device to collect acoustic wave data at the target position; using a radar unit in the detection device to collect electromagnetic wave reflection data at the target position. The acoustic wave unit includes an acoustic wave transmitting unit and an acoustic wave receiving unit. The radar unit includes a radar transmitting unit and a radar receiving unit.

[0068] In this embodiment, a multi-scale fracture detection device for surrounding rock of a coal pillar dam borehole is provided. The device can be used to collect initial multi-source detection data and can be an in-borehole detection device (which can be referred to as a detection device for short). Figure 6 is a schematic diagram of the vertical structural layout of a borehole detection device according to an embodiment of the present application, such as Figure 6 As shown, the borehole detection device may include: an in-hole probe 601, a radar transmitting unit 602 arranged on the in-hole probe, an electromagnetic wave isolation unit 603, an acoustic wave transmitting unit 604, an acoustic wave isolation unit 605, a hole wall imaging unit 606, an acoustic wave receiving unit 607, and a radar receiving unit 608.

[0069] Figure 7 is a schematic diagram of the horizontal structural layout of a borehole detection device according to an embodiment of the present application, such as Figure 7As shown, the detection device may further include a direction scanning control unit 609. The in-hole probe 601 is a cylindrical structure, and the upper part of the in-hole probe 601 is provided with a power control module, a signal transmission cable, a signal control module, etc., to realize the functions of power supply, signal transmission and signal control of the data circuit in the borehole, and the lower part of the in-hole probe 601 is provided with a radar transmitting unit 602, an electromagnetic wave isolation unit 603, an acoustic wave transmitting unit 604, an acoustic wave isolation unit 605, a hole wall imaging unit 606, an acoustic wave receiving unit 607, a radar receiving unit 608, and a direction scanning control unit 609.

[0070] Optionally, the radar transmitting unit 602 and the radar receiving unit 608 are combined to measure and realize the crack detection in the far field of the borehole, the acoustic wave transmitting unit 604 and the acoustic wave receiving unit 607 are combined to measure and realize the crack detection in the field of the borehole, and the hole wall imaging unit 606 realizes the crack detection in the near field of the borehole by combining a camera and a conical mirror; an electromagnetic wave isolation unit 603 is arranged between the radar transmitting unit 602 and the acoustic wave transmitting unit 604, and the electromagnetic wave isolation unit 603 is mainly formed of electromagnetic shielding material. A cylinder with a threading hole in the middle, an acoustic wave isolation unit 605 is arranged between the acoustic wave transmitting unit 604 and the hole wall imaging unit 6, and the acoustic wave isolation unit 605 is mainly a cylinder formed of acoustic wave shielding material, with a threading hole in the middle, an acoustic wave isolation unit 605 is also arranged between the hole wall imaging unit 606 and the acoustic wave receiving unit 607, for shielding interference of acoustic wave signals, and an electromagnetic wave isolation unit 603 is also arranged between the acoustic wave receiving unit 607 and the radar receiving unit 608, for shielding interference of radar signals.

[0071] Figure 8 is a schematic diagram of the structural arrangement of a directional scanning control unit according to an embodiment of the present application, such as Figure 8 As shown, the above-mentioned directional scanning control unit 609 is composed of three parts: a scanning control module 6091 , a signal transmission window 6092 and a signal shielding tube 6093 .

[0072] Fig. 9 is a schematic diagram of the horizontal structural arrangement of a directional scanning control unit according to an embodiment of the present application, such as Fig. 9As shown, the scanning control module 6091 is located at the upper part of the direction scanning control unit 609, the signal transmission window 6092 and the signal shielding tube 6093 are located at the lower part of the direction scanning control unit 609, the scanning control module 6091 may include a scanning control motor, a motor control circuit, a slip ring, a dynamic seal, a static seal, a protective shell and other parts, the scanning control module 6091 controls the axial rotation of the signal transmission window 6092 and the signal shielding tube 6093; the signal transmission window 6092 and the signal shielding tube 6093 form a complete cylinder, the opening angle of the signal transmission window 6092 determines the circumferential detection range of the detection device, the larger the opening angle of the signal transmission window 6092, the larger the circumferential angle range of each detection, that is, the higher the detection efficiency in the horizontal direction of the borehole, the smaller the opening angle of the signal transmission window 6092, the smaller the circumferential angle range of each detection, that is, the higher the detection accuracy in the horizontal direction of the borehole.

[0073] Optionally, the materials of the above-mentioned signal shielding tube 6093 can be radar shielding material, sound wave shielding material, opaque material, sound wave shielding material, and radar shielding material from top to bottom. The signal shielding tube 6093 ensures that the combined measurement of the radar transmitting unit 6022 and the radar receiving unit 608 only realizes the emission and collection of radar signals through the signal transfer window 6092. The signal shielding tube 6093 ensures that the combined measurement of the sound wave transmitting unit 604 and the sound wave receiving unit 607 only realizes the emission and collection of sound wave signals through the signal transfer window 6092. The signal shielding tube 6093 ensures that the hole wall imaging unit 606 realizes the detection of the borehole rock wall only through the signal transfer window 6092 by combining a camera and a conical mirror.

[0074] Optionally, there is a certain gap between the above-mentioned signal shielding tube 6093 and the radar transmitting unit 602, the electromagnetic wave isolation unit 603, the sound wave transmitting unit 604, the sound wave isolation unit 605, the hole wall imaging unit 606, the sound wave receiving unit 607, and the radar receiving unit 608, to ensure that the signal shielding tube 6093 can rotate relative to the radar transmitting unit 602, the electromagnetic wave isolation unit 603, the sound wave transmitting unit 604, the sound wave isolation unit 605, the hole wall imaging unit 606, the sound wave receiving unit 607, and the radar receiving unit 608, so as to realize the uniform rotation of the signal transmission window 6092 along the central axis, thereby achieving the purpose of circumferential uniform scanning and detection of drilling imaging, drilling sound waves and drilling radar in the horizontal direction of the surrounding rock of the borehole.

[0075] Optionally, the central axes of the above-mentioned in-hole probe 601, radar transmitting unit 602, electromagnetic wave isolation unit 603, sound wave transmitting unit 604, sound wave isolation unit 605, hole wall imaging unit 606, sound wave receiving unit 607, radar receiving unit 608, and direction scanning control unit 609 coincide with each other; the above-mentioned far field of the borehole can refer to the range of 1 meter to 60 meters outside the borehole rock wall, the near field of the borehole mainly refers to the range of 0.1 meter to 1 meter outside the borehole rock wall, and the near field of the borehole can refer to the borehole wall; the above-mentioned radar transmitting unit 602 can be composed of radar The above-mentioned radar receiving unit 608 may be composed of a radar receiving antenna and a receiving circuit; the above-mentioned sound wave transmitting unit 604 may be composed of a sound wave transmitting transducer and a transmitting circuit; the above-mentioned sound wave receiving unit 607 may be composed of a sound wave receiving transducer and a receiving circuit; the above-mentioned hole wall imaging unit 606 may be composed of a camera module, a light source module and a conical mirror; it should be noted that the structure of the detection device here is only for illustration, and the structure of the detection device can be adjusted according to actual conditions, and no specific limitation is made here.

[0076] Optionally, for the collection of optical image data, the in-hole probe 601 can be lowered into a certain position (i.e., the target position) inside the borehole of the coal pillar dam body to be detected through an armored cable. If the borehole is a non-vertical borehole, the in-hole probe 601 can be pushed to the inside of the borehole of the coal pillar dam body to be detected with the help of a push rod; further, the ground system controls the in-hole probe 601, and the borehole wall imaging unit 606 starts working, that is, the light source module is lit, and the light passes through the signal transmission window 6092 to illuminate the corresponding borehole wall, and the camera module starts to collect the borehole wall image of the signal transmission window 6092, thereby obtaining the optical image data corresponding to the target position; after completing the borehole wall image collection at this orientation, the borehole wall image information (i.e., optical image data), the geographic azimuth angle corresponding to the signal transmission window 6092, and the borehole depth information where the in-hole probe 601 is located can be synchronized to the ground system, and displayed and stored. After completing the signal transmission of the orientation, the direction scanning control unit 609 can control the signal transmission window 6092 to rotate a fixed angle, and the hole wall imaging unit 606 collects the hole wall image corresponding to the signal transmission window 6092, and then transmits, displays and stores the signal. After completing the acquisition of the borehole wall images of different orientations at the same depth, that is, the signal transmission window 6092 rotates one circle, the in-hole probe 601 is lowered to a certain depth through the armored cable or the push rod to realize the acquisition of the hole wall images at adjacent depths. Repeat the above steps until the acquisition of the optical image data of the entire borehole is completed, and then the in-hole probe 601 can be lifted to end the data acquisition of the borehole image.

[0077] Optionally, for the collection of acoustic wave data, the in-hole probe 601 can be lowered into the coal pillar dam borehole to be detected through the existing armored cable. If the borehole is a non-vertical borehole, the in-hole probe 601 needs to be pushed into the coal pillar dam borehole to be detected with the help of a push rod; the ground system controls the in-hole probe 601, the acoustic wave transmitting unit 604 and the acoustic wave receiving unit 607 start working, the acoustic wave signal emitted by the acoustic wave transmitting unit 604 passes through the signal transmission window 6092, and the acoustic wave signal is transmitted into the midfield area of ​​the borehole surrounding rock. When the acoustic wave signal encounters a mesoscale fracture structure, the acoustic wave signal is reflected, and the acoustic wave reflection signal passes through the signal transmission window 6092, and the acoustic wave receiving unit 607 receives the acoustic wave reflection signal; after completing the full-pulse acoustic wave signal collection at this position, the full-pulse acoustic wave information, the geographical azimuth angle corresponding to the signal transmission window 6092, and the borehole depth at which the in-hole probe 601 is located are collected. The information is synchronized to the ground system for display and storage; after the signal transmission in the azimuth is completed, the direction scanning control unit 609 controls the signal transmission window 6092 to rotate a fixed angle, and the sound wave signal emitted by the sound wave transmitting unit 604 passes through the signal transmission window 6092, and the sound wave signal is transmitted into the midfield area of ​​the borehole surrounding rock. When the sound wave signal encounters a mesoscale fracture structure, the sound wave signal is reflected, and the sound wave reflection signal passes through the signal transmission window 6092. The sound wave receiving unit 607 receives the sound wave reflection signal, and then transmits, displays and stores the signal; after the full-pulse sound wave signal acquisition in different azimuths at the same depth is completed, that is, the signal transmission window 6092 rotates one circle, and the in-hole probe 601 is lowered to a certain depth through an armored cable or a push rod to realize the full-pulse sound wave signal acquisition at adjacent depths; the above steps are repeated until the full-pulse sound wave signal data acquisition of the entire borehole is completed. The full-pulse acoustic wave signal can be acoustic wave data. Through the above steps, acoustic wave data corresponding to multiple target positions can be obtained, and then the in-hole probe 601 can be lifted to complete the data collection work of the full-pulse acoustic wave signal in the field of the borehole surrounding rock.

[0078] Optionally, for the collection of electromagnetic wave reflection data, the in-hole probe 601 can be lowered into the coal pillar dam borehole to be detected through the existing armored cable. If the borehole is a non-vertical borehole, the in-hole probe 601 can be pushed into the coal pillar dam borehole to be detected with the help of a push rod; the ground system controls the in-hole probe 601, the radar transmitting unit 602 and the radar receiving unit 608 start working, the radar signal emitted by the radar transmitting unit 602 passes through the signal transmission window 6092, and the radar signal is transmitted into the far field area of ​​the borehole surrounding rock. When the radar signal encounters a large-scale fracture structure, the radar signal is reflected, and the radar reflection signal passes through the signal transmission window 6092, and the radar receiving unit 608 receives the radar reflection signal; after completing the collection of the electromagnetic wave reflection signal in this direction, the electromagnetic wave reflection information, the geographical azimuth angle corresponding to the signal transmission window 6092 and the borehole depth information where the in-hole probe 601 is located are synchronized to the ground system, and displayed and stored; after completing this After the azimuth signal is transmitted, the directional scanning control unit 609 controls the signal transmission window 6092 to rotate a fixed angle, and the radar signal emitted by the radar transmitting unit 602 passes through the signal transmission window 6092, and the radar signal is transmitted into the far field area of ​​the borehole surrounding rock. When the radar signal encounters a large-scale fracture structure, the radar signal is reflected, and the radar reflection signal passes through the signal transmission window 6092. The radar receiving unit 608 receives the radar reflection signal, and then transmits, displays and stores the signal; after completing the acquisition of electromagnetic wave reflection signals at different azimuths at the same depth, that is, the signal transmission window 6092 rotates one circle, the in-hole probe 601 is lowered to a certain depth through the armored cable or the push rod to realize the acquisition of electromagnetic wave reflection signals at adjacent depths; the above steps are repeated until the acquisition of electromagnetic wave reflection signal data of the entire borehole is completed, the in-hole probe 601 is lifted, and the data acquisition of the far-field electromagnetic wave reflection signal of the borehole surrounding rock is ended, thereby obtaining electromagnetic wave reflection data corresponding to multiple target positions.

[0079] Optionally, the collection of optical image data, acoustic wave data and electromagnetic wave reflection data can be completed synchronously or separately. Since an electromagnetic wave isolation unit 603 and an acoustic wave isolation unit 605 are provided in the middle of the device, when the above-mentioned optical image data, acoustic wave data and electromagnetic wave reflection data are collected synchronously, the optical image collection, acoustic wave signal detection and radar signal detection are carried out synchronously. There is no excessive signal interference between the three directly, and the structural detection process of small, medium and large-scale cracks in the near field, midfield and far field of the borehole can be quickly realized.

[0080] As an optional implementation, the initial multi-source detection data is converted to obtain target multi-source detection data, including: respectively converting the optical image data, acoustic wave data and electromagnetic wave reflection data in the initial multi-source detection data to obtain target multi-source detection data, wherein the target multi-source detection data may at least include: converted optical image data, converted acoustic wave data and converted electromagnetic wave reflection data.

[0081] In this embodiment, the optical image data, acoustic wave data and electromagnetic wave reflection data in the initial multi-source detection data can be converted respectively to obtain target multi-source detection data, wherein the target multi-source detection data can at least include: converted optical image data, converted acoustic wave data and converted electromagnetic wave reflection data.

[0082] As an optional implementation, the optical image data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: constructing an image matrix; mapping the optical image data to the image matrix to obtain target multi-source detection data.

[0083] In this embodiment, an image matrix may be constructed for processing the optical image data, and the optical image data may be mapped into the image matrix to obtain target multi-source detection data.

[0084] Optionally, for the processing of optical image data, an image matrix FI with H rows and N columns can be established, and the image data collected by the borehole wall imaging unit 6 can be grouped, sorted, and mapped to the image matrix FI. The above grouping can be to divide the images collected at the same depth in the borehole into the same row, and divide the images collected at the same scanning orientation in the borehole into the same column, and regroup the image data; the above sorting can refer to taking the image collected at the geographic North Pole in the borehole as the first column of each row, and the second image of the adjacent geographic North Pole as the second column of each row, and so on, to rearrange the image data. The above mapping can refer to mapping the grouped and sorted image data into the image matrix FI, that is, the image data of the first row and the first column is mapped to FI[1][1], the image data of the i-th row and the j-th column is mapped to FI[i][j], and so on, until the mapping of the image matrix FI[H][N] is completed, and each element in the image matrix FI contains a pair of borehole wall image information, which can be composed of multiple pixels. The above image data can be a color or black and white image, and can be optical image data.

[0085] As an optional implementation, the acoustic wave data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: constructing an acoustic wave matrix; mapping the acoustic wave data to the acoustic wave matrix to obtain target multi-source detection data.

[0086] In this embodiment, for the processing of the acoustic wave data, an acoustic wave matrix SO of H rows and N columns can be constructed, and the acoustic wave data received by the acoustic wave receiving unit can be grouped, sorted, and mapped into the acoustic wave matrix SO. The above grouping can refer to dividing the acoustic wave signals received at the same depth in the borehole into the same row, dividing the acoustic wave signals received at the same scanning orientation in the borehole into the same column, and regrouping the acoustic wave signal data. The above sorting can refer to taking the acoustic wave signal received at the geographic true north pole in the borehole as the first column of each row, the second acoustic wave signal adjacent to the geographic true north pole as the second column of each row, and so on, to rearrange the acoustic wave signal data. The above mapping may refer to mapping the grouped and sorted acoustic wave signal data into the acoustic wave matrix SO, that is, the acoustic wave signal data (time domain signal or frequency domain mutual signal) in the first row and first column is mapped into SO[1][1], the acoustic wave signal data in the i-th row and j-th column is mapped into SO[i][j], and so on, until the mapping of the acoustic wave matrix SO[H][N] is completed. Each element in the acoustic wave matrix SO contains the reflection information of a crack in the field of the surrounding rock of the borehole, which may be composed of multiple acoustic wave reflection echo signals.

[0087] Optionally, the acoustic wave data may be mapped into an acoustic wave matrix through the above steps to obtain target multi-source detection data.

[0088] As an optional implementation, the electromagnetic wave reflection data in the initial multi-source detection data is converted to obtain target multi-source detection data, including: sorting the electromagnetic wave reflection data to obtain target electromagnetic wave reflection data; mapping the target electromagnetic wave reflection data into a radar matrix to obtain target multi-source detection data.

[0089] In this embodiment, a radar matrix can be constructed for the processing of electromagnetic wave reflection data, and the electromagnetic wave reflection data can be grouped, sorted, and mapped into the radar matrix. The above grouping can refer to dividing the radar signals (i.e., electromagnetic wave reflection data) received at the same depth in the borehole into the same row, dividing the radar signals received at the same scanning orientation in the borehole into the same column, and regrouping the radar signals. The above sorting can refer to taking the radar signal received at the geographic North Pole in the borehole as the first column of each row, the second radar signal adjacent to the geographic North Pole as the second column of each row, and so on, and rearranging the radar signal data to obtain the target electromagnetic wave reflection data. The above mapping may refer to mapping the grouped and sorted radar signals (i.e., target electromagnetic wave reflection data) into the radar matrix RA, that is, the radar signal data (time domain signal or frequency domain mutual signal) of the first row and the first column is mapped into RA[1][1], the radar signal data of the i-th row and the j-th column is mapped into RA[i][j], and so on, until the mapping of the radar matrix RA[H][N] is completed. Each element of the radar matrix RA contains a fracture reflection information in the far field of the surrounding rock of the borehole, which is composed of multiple radar reflection echo signals. The above H may be the total depth of the borehole detection divided by the distance between the adjacent detection depths, and the result after the division is rounded; the above N may be 360 ​​divided by the interval angle between two adjacent detection points in the same depth direction, and the result after the division is rounded.

[0090] Optionally, through the above steps, the electromagnetic wave reflection data can be grouped and sorted to obtain target electromagnetic wave reflection data, and the target electromagnetic wave reflection data can be mapped to a radar matrix to obtain target multi-source detection data.

[0091] As an optional implementation, the position information is determined based on the target multi-source detection data, including: binarizing the converted optical image data to obtain first position information of cracks in a first area among multiple areas; quantizing the converted acoustic wave data to obtain second position information of cracks in a second area among multiple areas, wherein the distance between the second area and the borehole in the coal pillar dam is greater than the distance between the first area and the borehole; and wavelet transforming the converted electromagnetic wave reflection data to obtain third position information of cracks in a third area among multiple areas, wherein the distance between the third area and the borehole in the coal pillar dam is greater than the distance between the second area and the borehole.

[0092] In this embodiment, the converted optical image data can be binarized to obtain first position information of cracks in a first area among multiple areas; the converted acoustic wave data can be energized to obtain second position information of cracks in a second area among multiple areas; the converted electromagnetic wave reflection data can be wavelet transformed to obtain third position information of cracks in a third area among multiple areas. The first position information can be position information corresponding to small-scale cracks, which can be used to visualize small-scale cracks. The second position information can be position information corresponding to medium-scale cracks, which can be used to visualize medium-scale cracks. The third position information can be position information corresponding to large-scale cracks, which can be used to visualize large-scale cracks.

[0093] Optionally, Fig.10 is a schematic diagram of a small-scale crack visualization according to an embodiment of the present application, such as Fig.10 As shown, for the visualization of small-scale fractures, each element in the image matrix FI can be subjected to median filtering to form an image matrix FII, each element unit in the image matrix FII can be binarized to form a binary image matrix FIII, and the binary image matrix FIII can be subjected to target screening to form a new binary image matrix FIIII. The binary image matrix FIIII can be used to characterize the first position information. Furthermore, by mapping the binary image matrix FIIII to the first two-dimensional geological body, the spatial connectivity information of the fracture in the near field can be obtained. Based on the spatial connectivity information, the fracture is mapped from the first three-dimensional geological body to the second three-dimensional geological body, so that the small-scale fractures at different depths and different orientations in the near field of the borehole surrounding rock can be intuitively seen, thereby realizing the visualization of small-scale fractures.

[0094] Optionally, in the above binary image matrix FIII, white pixels can represent potential target areas, and black pixels can represent potential background areas. The above target screening can evaluate the scale of the closed area formed by white pixels, and count the number of white pixels C and the total number of white pixels S in the closed area respectively. If the total number of white pixels S is less than the threshold M1, the closed area formed by the white pixels is converted into black. Otherwise, C*C / S is calculated. If C*C / S is less than the threshold M2, the closed area formed by the white pixels is converted into black. Otherwise, the closed area formed by the original white pixels is retained. In the above binary image matrix FIIII, white pixels can represent crack areas, and black pixels can represent non-crack areas. The above M1 represents the number threshold of pixels. The larger the threshold, the larger the scale of cracks that can be identified, and the smaller the threshold, the smaller the scale of cracks that can be identified. The above-mentioned M2 can represent the distribution threshold of pixel points. The larger the threshold is, the larger the aspect ratio of the identifiable cracks is. The smaller the threshold is, the smaller the aspect ratio of the identifiable cracks is.

[0095] Fig.11 is a schematic diagram of a mesoscale crack visualization according to an embodiment of the present application, such as Fig.11 As shown, for the visualization of mesoscale fractures, each element in the acoustic matrix SO (that is, the converted electromagnetic wave reflection data) can be quantized to form an acoustic matrix SOI, each element unit in the acoustic matrix SOI can be subjected to signal envelope processing to form an acoustic matrix SOII, and the acoustic matrix SOII is subjected to fracture position estimation to form a new acoustic matrix SOIII, which can be used to determine the second position information. Further, the acoustic matrix SOIII can be mapped to the first two-dimensional geological body to obtain the spatial connectivity information of the fracture in the near field, and based on the spatial connectivity information, the fracture can be mapped from the first three-dimensional geological body to the second three-dimensional geological body, so as to intuitively see the mesoscale fractures at different depths and different orientations in the field of the surrounding rock of the borehole, thereby realizing the visualization of the mesoscale fractures.

[0096] Optionally, the energy processing mentioned above may refer to squaring the signal to realize the curve conversion from "sampling point-voltage" to "sampling point-energy". The above-mentioned crack position estimation may be that assuming that the end time corresponding to the first appearance of the echo signal in the acoustic matrix SOII is Te1, then the corresponding opening position of the first crack in this azimuth is Ls1, the end time corresponding to the nth echo signal is Ten, then the corresponding opening position of the nth crack in this azimuth is Lsn, assuming that the start time corresponding to the second appearance of the echo signal in the acoustic matrix SOII is Ts2, then the corresponding closing position of the first crack in this azimuth is Le1, the start time corresponding to the n+1th echo signal is Ts(n+1), then the corresponding closing position of the nth crack in this azimuth is Len, that is, in the field of the surrounding rock of the borehole, the size length of the first crack is Le1-Ls1, and the size length of the nth crack is Len-Lsn.

[0097] Optionally, each unit in the above-mentioned acoustic wave matrix SOIII can include a three-dimensional multi-layer spatial structure, in which the black layer can represent the non-crack area, the white layer can represent the crack area, the position and thickness of the white layer can represent the position and scale of the crack respectively, the closer the position of the white layer is to the inside, the closer the crack in the surrounding rock of the borehole is to the borehole, and the thicker the white layer is, the longer the size of the crack is.

[0098] Optionally, the calculation relationship corresponding to the above Ls1 can be The calculation relationship corresponding to Lsn can be The calculation relationship corresponding to Le1 can be The calculation relationship corresponding to Len can be Among them, ca can be used to characterize the sound velocity value corresponding to the rock structure at that location, which can be determined by core and geological data, and h1 can be the vertical distance between the center point of the sound wave transmitting unit and the center point of the sound wave receiving unit.

[0099] Fig.12 is a schematic diagram of a large-scale crack visualization according to an embodiment of the present application, such as Fig.12As shown, for the visualization of large-scale cracks, each element in the radar matrix RA (that is, the converted electromagnetic wave reflection data) can be processed by wavelet transform to reduce noise interference, forming a radar energy gray matrix RAI, and each element unit in the radar energy gray matrix RAI is binarized to form a binary radar image matrix RAII, and the binary radar image matrix RAII is used to estimate the crack position to form a new radar matrix RAIII, which can be used to determine the third position information. Through the radar matrix RAIII, large-scale cracks at different depths and different orientations in the far field of the borehole surrounding rock can be intuitively seen, thereby realizing the visualization of large-scale cracks.

[0100] Optionally, in the above radar energy grayscale matrix RAI, the energy is strong and the energy is weak, showing a grayscale difference. If it is defined that the stronger the radar signal energy is, the larger the corresponding grayscale value is, then the weaker the radar signal energy is, the smaller the corresponding grayscale value is. In the above binary radar image matrix RAII, white pixels represent crack areas, and black pixels represent non-crack areas. For the above estimation of the crack position, assuming that the time corresponding to the tail end of the first white area in the binary radar image matrix RAII is Re1, then the corresponding opening position of the first crack in this azimuth is Rs1, and the time corresponding to the tail end of the nth white area is Ren, then the corresponding opening position of the nth crack in this azimuth is Hsn. Assuming that the time corresponding to the beginning of the second white area in the binary radar image matrix RAII is Rs2, then the corresponding closing position of the first crack in this azimuth is He1, and the time corresponding to the beginning of the n+1th white area is Rs(n+1), then the corresponding closing position of the nth crack in this azimuth is Hen, that is, in the far field of the surrounding rock of the borehole, the size length of the first crack is He1-Hs1, and the size length of the nth crack is Hen-Hsn.

[0101] Optionally, each unit in the radar matrix RAIII above contains a three-dimensional multi-layer spatial structure, in which the black layer represents the non-crack area, the white layer represents the crack area, the position and thickness of the white layer represent the position and scale of the crack respectively, the closer the position of the white layer is to the inside, the closer the crack in the surrounding rock of the borehole is to the borehole, and the thicker the white layer is, the longer the size of the crack is.

[0102] Optionally, the calculation relationship corresponding to the above Hs1 is: The calculation formula corresponding to Hsn is: The calculation relationship corresponding to He1 is: The calculation relationship corresponding to Hen is: Among them, va can be used to characterize the electromagnetic wave propagation velocity value corresponding to the rock structure at the location, which can be determined by core and geological data. h2 can be the vertical distance between the center point of the radar transmitting unit and the center point of the radar receiving unit.

[0103] Optionally, the first region may be a near field of the borehole surrounding rock, the second region may be a mid field of the borehole surrounding rock, and the third region may be a far field of the borehole surrounding rock.

[0104] In an embodiment of the present application, initial multi-source detection data at a target position in a coal pillar dam is collected, and based on the initial multi-source detection data, multiple position information of cracks in different areas is determined. The multiple position information can be mapped to a first three-dimensional geological body to obtain spatial connectivity information of the cracks. Furthermore, based on the spatial connectivity information, the cracks can be mapped from the first three-dimensional geological body to a second three-dimensional geological body. The shape of the second three-dimensional geological body is the same as that of the coal pillar dam. Therefore, from the mapped second three-dimensional geological body, the shape of the cracks in the coal pillar dam can be determined, thereby solving the technical problem of low monitoring accuracy of cracks in the coal pillar dam and achieving the technical effect of improving the monitoring accuracy of cracks in the coal pillar dam.

[0105] A method and device for detecting multi-scale fractures in the surrounding rock of a coal pillar dam borehole of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the present application is not limited to the following specific embodiments, and any equivalent changes made on the basis of the technical solution of the present application shall fall within the protection scope of the present application.

[0106] In recent years, there have been an increasing number of mine safety accidents caused by gas, mud, water inrush, faults, weak interlayers, etc. Since tunnels are deep and concealed projects, it is extremely difficult to fully identify the relevant rock mass characteristics and the location, scale and nature of possible adverse geological bodies during the engineering exploration stage. In the process of coal mining, it is inevitable to disturb the overlying rock strata, form water-conducting fissures, and produce a large amount of mine water. In order to ensure safe and efficient production, a large amount of mine water is discharged to the ground, which not only leads to a waste of groundwater resources in the mining area, but also greatly damages the surface ecology of the mining area due to land salinization. Therefore, reducing and eliminating the discharge of mine water to the ground has become a major technical problem that must be solved for the sustainable development of coal, and it is also a strategic goal for the protection and utilization of water resources in coal mining. Unlike the dam of a surface reservoir, the dam of a coal mine underground reservoir is located underground and its working conditions are more complicated than those of a surface reservoir. The dam is subject to the combined effects of overburden pressure, mine pressure, and water pressure. Once an earthquake or mining tremor caused by mining occurs, water in the reservoir will burst out, threatening underground production safety. Therefore, it is particularly important to develop crack detection technology for coal pillar dams of underground reservoirs in coal mines.

[0107] In the related art, only the fracture structure in the midfield of the borehole surrounding rock can be detected. There are problems such as poor data intuitiveness, low detection accuracy, and single detection scale in the existing coal pillar dam fracture detection technology. In order to solve the above problems, in this embodiment, a multi-scale fracture detection method and device for the coal pillar dam borehole surrounding rock are proposed. The method integrates optical imaging technology, borehole acoustic wave technology and borehole radar technology. On the basis of organically integrating multi-source detection data, by adding an azimuth control component, all-round detection of multi-scale fracture structures in the near field, midfield and far field of the borehole surrounding rock is achieved, and stereoscopic three-dimensional visualization of the borehole surrounding rock can be achieved. That is, the embodiment can detect a wider target range and richer detection information, which can improve the labor efficiency of coal mine geological structure detection, increase the intuitiveness of detection results, save measurement costs, and play a role in saving costs and increasing efficiency. It solves the technical problem of low monitoring accuracy of coal pillar dam fractures and achieves the technical effect of improving the monitoring accuracy of fractures in coal pillar dams.

[0108] In this embodiment, a method and device for detecting multi-scale fractures in the surrounding rock of a coal pillar dam borehole is provided, which is suitable for detecting fractures of different scales in the surrounding rock of a borehole in various ore body structures, and can realize the detection of small-scale fractures, medium-scale fractures, and large-scale fractures in the surrounding rock of a coal pillar dam borehole, and effectively grasp the fracture distribution characteristics in the near field, mid-field, and far-field of the surrounding rock of the borehole.

[0109] Fig.13 is a flow chart of a method for detecting multi-scale fractures in surrounding rock of a coal pillar dam borehole according to an embodiment of the present application, such as Fig.13 As shown, the method may include the following steps:

[0110] Step S1302: Collect initial multi-source detection data.

[0111] In this embodiment, borehole image data is collected to complete the collection of basic optical image data in the near field of the borehole surrounding rock. Borehole acoustic wave data is collected to complete the collection of basic full-pulse acoustic wave data in the middle field of the borehole surrounding rock. Borehole radar data is collected to complete the collection of basic electromagnetic wave reflection data in the far field of the borehole surrounding rock.

[0112] Step S1304: Processing initial multi-source detection data.

[0113] In this embodiment, the optical image data, the acoustic wave data and the electromagnetic wave reflection data are processed separately.

[0114] Step S1306: multi-scale crack visualization.

[0115] In this embodiment, visualization processing of small-scale cracks, medium-scale cracks and large-scale cracks is completed based on multi-source detection data.

[0116] Optionally, the three-dimensional geological body network is reconstructed, the connectivity of fractures at the same scale is estimated, and the connectivity of fractures at multiple scales is estimated to obtain spatial connectivity information. Based on the spatial connectivity information, the three-dimensional visualization of the geological body of the surrounding rock of the borehole can be completed.

[0117] In this embodiment, based on the traditional borehole video technology, borehole sonic wave technology, and borehole radar technology, through upgrading and transformation, the effective integration of borehole video, borehole sonic wave, and borehole radar is realized. At the same time, by combining the directional scanning control unit, the precise positioning and scale estimation of cracks of different scales are realized, and the cracks in the near field, middle field, and far field of the borehole surrounding rock can be intuitively, synchronously and accurately presented, and the small-scale cracks, medium-scale cracks, and large-scale cracks in the borehole surrounding rock can be accurately detected and visualized, thereby solving the technical problem of low monitoring accuracy of cracks in the coal pillar dam body and achieving the technical effect of improving the monitoring accuracy of cracks in the coal pillar dam body.

[0118] According to an embodiment of the present application, a device for determining the shape of cracks in a coal pillar dam is also provided. It should be noted that the device for determining the shape of cracks in a coal pillar dam of this embodiment can be used to execute the method for determining the shape of cracks in a coal pillar dam of embodiment 1 of the present application.

[0119] Fig.14 is a schematic diagram of a device for determining the shape of a crack in a coal pillar dam according to an embodiment of the present application, such as Fig.14 As shown, the device 140 for determining the shape of cracks in a coal pillar dam may include: an acquisition unit 1402 , a first determination unit 1404 , a first mapping unit 1406 , a second mapping unit 1408 and a second determination unit 1410 .

[0120] The acquisition unit 1402 is used to acquire at least one initial multi-source detection data at at least one target position in the coal pillar dam, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position.

[0121] The first determining unit 1404 is used to determine multiple position information corresponding to the cracks in the coal pillar dam based on at least one initial multi-source detection data.

[0122] The first mapping unit 1406 is used to map the multiple position information to the first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the fracture, wherein the spatial connectivity information is used to at least characterize the shape of the fracture in at least one area of ​​the coal pillar dam.

[0123] The second mapping unit 1408 is used to map the fracture from the first three-dimensional geological body to the second three-dimensional geological body based on the spatial connectivity information, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam.

[0124] The second determining unit 1410 is configured to determine the shape of the fracture in the region based on the second three-dimensional geological body mapped with the spatial connectivity information.

[0125] The device for determining the shape of a crack in a coal pillar dam of this embodiment obtains at least one initial multi-source detection data at at least one target position in the coal pillar dam through an acquisition unit, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; determines multiple position information corresponding to the crack in the coal pillar dam based on the at least one initial multi-source detection data through a first determination unit; maps the multiple position information to a first three-dimensional geological body corresponding to the coal pillar dam through a first mapping unit to obtain spatial connectivity information of the crack, wherein the spatial connectivity information is used to at least characterize the shape of the crack in at least one region of the coal pillar dam; maps the crack from the first three-dimensional geological body to a second three-dimensional geological body based on the spatial connectivity information through a second mapping unit, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam; determines the shape of the crack in the region based on the second three-dimensional geological body mapped with the spatial connectivity information through the second determination unit, thereby solving the technical problem of low monitoring accuracy of cracks in the coal pillar dam and achieving the technical effect of improving the monitoring accuracy of cracks in the coal pillar dam.

[0126] The embodiment of the present application may provide a computer terminal, which may be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced by a terminal device such as a mobile terminal.

[0127] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0128] In this embodiment, the computer terminal can execute the program code of the above steps of the method for determining the shape of cracks in a coal pillar dam.

[0129] Optionally, Fig.15 is a structural block diagram of a computer terminal according to an embodiment of the present application, such as Fig.15 As shown, the computer terminal 1508 may include: one or more (only one is shown in the figure) processors 1502 , a memory 1504 , and a transmission device 1506 .

[0130] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and device for determining the shape of the cracks in the coal pillar dam body in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned method for determining the shape of the cracks in the coal pillar dam body. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 1508 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0131] The processor can call the information and application programs stored in the memory through the transmission device to execute the program codes of the above steps of the method for determining the shape of the fracture in the coal pillar dam body.

[0132] It can be understood by those skilled in the art that Fig.15 The structure shown is for illustration only, and the computer terminal 1508 may also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (Mobile Internet Devices, abbreviated as MID), a PAD, or other terminal devices. Fig.15 The structure of the computer terminal 1508 is not limited. For example, the computer terminal 1508 may also include Fig.15 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Fig.15 Different configurations are shown.

[0133] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0134] According to an embodiment of the present application, a computer-readable storage medium is also provided, which includes a stored program, wherein the program executes the method for determining the shape of a crack in a coal pillar dam in the above embodiment.

[0135] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0136] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the steps in the above-mentioned method for determining the shape of a fracture in a coal pillar dam.

[0137] According to an embodiment of the present application, a processor is also provided, which is used to run a program, wherein when the program is run by the processor, the method for determining the shape of a crack in a coal pillar dam body in the above embodiment is executed.

[0138] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and device for determining the shape of the cracks in the coal pillar dam body in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned method for determining the shape of the cracks in the coal pillar dam body. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0139] The processor can call the information and application program stored in the memory through the transmission device to execute the method for determining the shape of the crack in the coal pillar dam body in the above embodiment.

[0140] According to an embodiment of the present application, a computer program product is also provided, which includes computer instructions, wherein when the computer instructions are executed by a processor, the method for determining the shape of cracks in a coal pillar dam in the above embodiment is implemented.

[0141] An embodiment of the present application may provide an electronic device, which may include a memory and a processor.

[0142] Fig.16It is a block diagram of an electronic device for determining the shape of a fracture in a coal pillar dam according to an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0143] like Fig.16 As shown, the device 1600 includes a computing unit 1601, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 1602 or a computer program loaded from a storage unit 1608 to a random access memory (RAM) 1603. In RAM 1603, various programs and data required for the operation of the device 1600 can also be stored. The computing unit 1601, ROM 1602, and RAM 1603 are connected to each other via a bus 1604. An input / output (I / O) interface 1605 is also connected to the bus 1604.

[0144] A number of components in the device 1600 are connected to the I / O interface 1605, including: an input unit 1606, such as a keyboard, a mouse, etc.; an output unit 1607, such as various types of displays, speakers, etc.; a storage unit 1608, such as a disk, an optical disk, etc.; and a communication unit 1609, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1609 allows the device 1600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0145] The computing unit 1601 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 1601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 1601 performs the various methods and processes described above, such as a verification method for data. For example, in some embodiments, the verification method for data may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 1608. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 1600 via the ROM 1602 and / or the communication unit 1609. When the computer program is loaded into the RAM 1603 and executed by the computing unit 1601, one or more steps of the verification method for data described above may be executed. Alternatively, in other embodiments, the computing unit 1601 may be configured to execute the data verification method in any other appropriate manner (for example, by means of firmware).

[0146] According to an embodiment of the present application, a method for determining the shape of cracks in a coal pillar dam is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0147] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that are executable and / or interpreted on a programmable system including at least one programmable processor that may be a dedicated or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0148] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0149] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0150] To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or an LCD (liquid crystal display, monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a path ball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0151] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a Local Area Network (LAN), a Wide Area Network (WAN), and the Internet.

[0152] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0153] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0154] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0156] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0157] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0158] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0159] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the shape of a crack in a coal pillar dam, characterized in that: include: Acquire at least one initial multi-source detection data at at least one target position in a coal pillar dam, wherein the initial multi-source detection data is used to characterize the structure of the coal pillar dam at the target position; Based on at least one of the initial multi-source detection data, determining a plurality of position information corresponding to the cracks in the coal pillar dam body; Mapping the plurality of position information to a first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the fracture, wherein the spatial connectivity information is used to at least characterize the shape of the fracture in at least one area of ​​the coal pillar dam; Based on the spatial connectivity information, mapping the fracture from the first three-dimensional geological body to a second three-dimensional geological body, wherein the shape of the second three-dimensional geological body is different from that of the first three-dimensional geological body, and the shape of the second three-dimensional geological body is the same as that of the coal pillar dam; Based on the second three-dimensional geological volume mapped with the spatial connectivity information, the shape of the fracture in the region is determined.

2. The method according to claim 1, characterized in that The determining of a plurality of position information corresponding to the cracks in the coal pillar dam body based on at least one of the initial multi-source detection data includes: Converting the initial multi-source detection data to obtain target multi-source detection data, wherein the initial multi-source survey data includes at least one of the following: optical image data, acoustic wave data, and electromagnetic wave reflection data; The location information is determined based on the target multi-source detection data.

3. The method according to claim 2, characterized in that The step of obtaining at least one initial multi-source detection data at at least one target position in the coal pillar dam includes: Acquire the optical image data collected by the hole wall imaging unit in the detection device at the target position; Acquire the acoustic wave data collected by the acoustic wave unit in the detection device at the target position; The radar unit in the detection device obtains the electromagnetic wave reflection data collected at the target position.

4. The method according to claim 2, characterized in that: The converting the initial multi-source detection data to obtain target multi-source detection data includes: The optical image data, the acoustic wave data and the electromagnetic wave reflection data in the initial multi-source detection data are converted respectively to obtain the target multi-source detection data, wherein the target multi-source detection data may at least include: the converted optical image data, the converted acoustic wave data and the converted electromagnetic wave reflection data.

5. The method according to claim 4, characterized in that The converting the optical image data in the initial multi-source detection data to obtain the target multi-source detection data includes: Construct image matrix; The optical image data is mapped into the image matrix to obtain the target multi-source detection data.

6. The method according to claim 4, characterized in that The converting the acoustic wave data in the initial multi-source detection data to obtain the target multi-source detection data includes: Constructing a sound wave matrix; The acoustic wave data is mapped into the acoustic wave matrix to obtain the target multi-source detection data.

7. The method according to claim 4, characterized in that The converting the electromagnetic wave reflection data in the initial multi-source detection data to obtain the target multi-source detection data includes: sorting the electromagnetic wave reflection data to obtain target electromagnetic wave reflection data; The target electromagnetic wave reflection data is mapped into a radar matrix to obtain the target multi-source detection data.

8. The method according to claim 4, characterized in that The determining the location information based on the target multi-source detection data includes: Binarizing the converted optical image data to obtain first position information of a crack in a first area of ​​the multiple areas; Performing energy processing on the converted acoustic wave data to obtain second position information of a fracture in a second area of ​​the multiple areas, wherein the distance between the second area and the borehole in the coal pillar dam is greater than the distance between the first area and the borehole; The converted electromagnetic wave reflection data is subjected to wavelet transform processing to obtain third position information of cracks in a third area among the multiple areas, wherein the distance between the third area and the borehole in the coal pillar dam is greater than the distance between the second area and the borehole.

9. A device for determining the shape of cracks in a coal pillar dam, characterized in that: include: An acquisition unit, used for acquiring at least one initial multi-source detection data at at least one target position in a coal pillar dam, wherein the initial multi-source detection data is used for characterizing the structure of the coal pillar dam at the target position; A first determining unit, configured to determine a plurality of position information corresponding to the cracks in the coal pillar dam body based on at least one of the initial multi-source detection data; A first mapping unit is used to map the plurality of position information to a first three-dimensional geological body corresponding to the coal pillar dam to obtain spatial connectivity information of the fracture, wherein the spatial connectivity information is used to at least characterize the shape of the fracture in at least one area of ​​the coal pillar dam; a second mapping unit, configured to map the fracture from the first three-dimensional geological body to a second three-dimensional geological body based on the spatial connectivity information, wherein a shape of the second three-dimensional geological body is different from a shape of the first three-dimensional geological body, and a shape of the second three-dimensional geological body is the same as a shape of the coal pillar dam; A second determining unit is configured to determine the shape of the fracture in the region based on the second three-dimensional geological body mapped with the spatial connectivity information.

10. A computer program product, characterized in that The method comprises computer instructions, which implement the method according to any one of claims 1 to 8 when executed by a processor.

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