Method, device, equipment and medium for determining the original fragmentation size of rock mass

Abstract

The present invention discloses a method, device, equipment and medium for determining the original broken block size of a rock mass. The method comprises the following steps: collecting core photos, preprocessing the core photos to obtain a core image; performing geometric transformation based on the core box in the core image to obtain a corrected core image; extracting structural surface characteristic parameters in the corrected core image, wherein the structural surface characteristic parameters include structural surface slope and relative position coordinates; restoring the structural surface network using the extracted structural surface characteristic parameters and image processing technology; and obtaining the original broken block size information of the rock mass corresponding to the core photos based on the structural surface network. The present invention can realize the determination of the original broken block size of a rock mass in a specific area.

Description

Technical Field

[0001] The invention relates to the technical field of mining engineering, and in particular to a method, a device, equipment and a medium for determining the original broken block size of a rock mass. Background Art

[0002] Block caving is a large-scale, low-cost mining method and the only efficient underground mining process that can compete with open-pit mining in terms of economic benefits. The success of block caving and its production efficiency depend largely on the size of the ore produced during the ore body collapse. The contents related to the size of the ore in the mining process include: the size and spacing of the ore points, equipment selection, ore control, production capacity, ore loss and depletion, the amount of secondary blasting of large blocks in the bucket, the damage to the tunnel caused by blasting and the corresponding operating costs, labor productivity, ore crushing process and cost, etc. Therefore, in the feasibility study stage of the block caving method, determining the size of the rock mass collapse plays a key role in whether the mine adopts the block caving method and the design of related mining projects.

[0003] The natural collapse size of rock mass is usually divided into three levels of fragmentation, namely the original fragmentation size, the primary fragmentation size and the secondary fragmentation size, among which the original fragmentation size is the basis for determining the fragmentation of other levels. The original fragmentation size refers to the fragmentation size of the rock mass itself before the mining activity occurs, which is the natural fragmentation formed by the cutting of the structural surface. The usual method for determining the original fragmentation size is mainly based on engineering experience and the determination based on the characteristics of the structural surface and the structural surface network. These methods are based on the survey and statistical results of the spatial distribution state of the structural surface and the conditions of the structural surface, and use certain mathematical methods to simulate or predict the situation of the structural surface cutting the rock mass, so as to determine the original fragmentation size of the rock mass. Therefore, the original fragmentation size determined is the size in a statistical sense, and is not the determination of the original fragmentation size in a specific area.

[0004] In the feasibility study stage of natural caving mines, there is a relative lack of geological data. Using the existing cores or core photos is one of the important ways to study the characteristics of the rock mass and determine the original fragmentation of the rock mass. Therefore, there is an urgent need for a method that can use core photos to determine the original fragmentation of the rock mass in a specific area. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a method for determining the original broken piece size of a rock mass, which is used to determine the original broken piece size of a rock mass in a specific area.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows:

[0007] The method for determining the original fragmentation size of rock mass comprises the following steps:

[0008] Collect core photos, and pre-process the core photos to obtain core images;

[0009] Performing geometric transformation based on the core box in the core image to obtain a corrected core image;

[0010] Extracting structural surface characteristic parameters from the corrected core image, wherein the structural surface characteristic parameters include structural surface slope and relative position coordinates;

[0011] Restore the structural surface network using the extracted structural surface feature parameters and image processing technology;

[0012] Based on the structural surface network, the original rock fragmentation information corresponding to the core photos is obtained.

[0013] Preferably, the preprocessing includes sampling and quantifying the core photographs.

[0014] Preferably, the step of performing geometric transformation on the core box in the core image to obtain a corrected core image specifically includes the following steps:

[0015] Cutting out a target core image from the core image, wherein the target core image includes complete core box information;

[0016] Rotate the target core image according to the actual placement of the core in the core box;

[0017] Taking the rectangular core box as a reference, the four inner corner points of the non-rectangular core box in the target core image are projected onto the rectangular frame of the entire image, and the core box in the target core image is transformed from a non-rectangular shape to a rectangular shape;

[0018] Cut the rectangular core box in the target core image;

[0019] The cut rectangular core box image is scaled at a certain ratio to make it correspond to the actual size of the core box, thus obtaining a corrected core image.

[0020] Preferably, the extracting of structural surface characteristic parameters in the corrected core image specifically comprises the following steps:

[0021] Taking the starting core in the corrected core image as the reference, the structural surface is depicted in the actual arrangement order of the cores. The structural surface straight line is drawn in the figure according to the distribution of the structural surface shown by the core in the image. The slope and position coordinates of the structural surface can be calculated through the pixel coordinates of the two end points of the straight line.

[0022] If the placement of a core section is opposite to that of its upper neighboring core, the slope of the structural surface is multiplied by -1. The slope and inclination of the structural surface are calculated as follows:

[0023]

[0024] In the formula, k i and α i The slope and angle values ​​determined for the i-th structural surface; w i is the slope adjustment value of the i-th structural surface. If the slope needs to be adjusted, then w i is 2, otherwise w i is 1; point (y i1 ,x i1 ) and point (y i2 ,x i2 ) are the pixel coordinates of the two endpoints of the i-th structural surface;

[0025] The relative position of the structural surface is based on the pixel coordinates of the midpoint of the structural surface line (y mi ,x mi ) instead, where y mi The value represents the depth of the structure surface, x mi It can be used to determine whether the core is located in the nth slot of the core box, and the pixel coordinates of the midpoint of the structural surface line (y mi ,x mi ) is calculated as:

[0026]

[0027] In the formula, point (y mi ,x mi ) is the pixel coordinate of the midpoint of the straight line representing the structural surface; n is the number of slots of the structural surface located in the core box; L is the pixel value equal to the actual length of the core box.

[0028] Preferably, the method of restoring the structural surface network by using the extracted structural surface feature parameters and image processing technology specifically comprises the following steps:

[0029] Construct a binary image based on the structural surface characteristic parameters in the corrected core image;

[0030] In a binary image, the value of the pixel corresponding to the position of the two-dimensional spatial structure surface is assigned to 0, and the calculation formula of the pixel point (y, x) is as follows:

[0031] y=k(x-0.5NL)+y mi x∈[1,NL] Formula 3

[0032] Wherein, N is the total number of slots in the core box; L is the length of the core box; k is the slope of the structural surface; when x is taken, the increment value Δx is determined according to the value of k, when -1≤k≤1, Δx=1; when k≤-15 or 15≤k, Δx=0.01; in other intervals, Δx=0.1;

[0033] The positive integer pixel point (y) corresponding to (y, x) is determined by formula 3. z ,x z ), the 8-neighborhood method is used to continue the assignment, that is, (y z ,x z )、(y z ,x z -1)、(y z -1,x z )、(y z -1,x z -1)、(y z ,x z +1)、(y z +1,x z )、(y z +1,x z +1)、(y z -1,x z +1)、(y z +1,x z -1) points are assigned an average value of 0 to obtain a structural surface network.

[0034] Preferably, the method of obtaining the original rock fragmentation information corresponding to the core photograph based on the structural surface network specifically includes the following steps:

[0035] Based on the structural surface network, the pixel point of each rock block is determined by the difference of adjacent pixel values;

[0036] Calculate the blockiness value of each rock block in the image based on the pixel points of each rock block;

[0037] By counting the block size of each rock block, we can obtain the original broken block size information of the rock mass corresponding to the core photo.

[0038] The device for determining the original broken block size of rock mass comprises: a collection unit, a transformation unit, a feature extraction unit, a structural surface network construction unit and a statistical unit, wherein:

[0039] The acquisition unit is used to acquire core photos and pre-process the core photos to obtain core images;

[0040] The transformation unit is used to perform geometric transformation based on the core box in the core image to obtain a corrected core image;

[0041] The feature extraction unit is used to extract structural surface feature parameters in the corrected core image, wherein the structural surface feature parameters include structural surface slope and relative position coordinates;

[0042] The construction unit is used to restore the structural surface network by using the extracted structural surface feature parameters and image processing technology;

[0043] The statistical unit is used to obtain the original broken block size information of the rock mass corresponding to the core photo based on the structural surface network.

[0044] A computer device comprises: a memory for storing a computer program; and a processor for implementing any of the above-mentioned methods for determining the original fragmentation size of a rock mass when executing the computer program.

[0045] A readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for determining the original fragmentation size of a rock mass as described above is implemented.

[0046] Based on the above technical scheme, the beneficial effects of the present invention are as follows: the present invention utilizes limited geological data, namely, utilizes borehole core photos and digital image processing technology to obtain the original fragmentation size of the regional rock mass, and at the same time can obtain the rock mass structural surface network, which is conducive to further understanding of the rock mass characteristics and provides reliable analysis data for rock mass research. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0048] Figure 1 is an application environment diagram of a method for determining the original fragmentation size of a rock mass in an embodiment;

[0049] Figure 2 is a flow chart of a method for determining the original fragmentation size of a rock mass in one embodiment;

[0050] Figure 3 is a core image in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0051] Figure 4-1 is an image after the first shear transformation in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0052] Figure 4-2 is an image after rotation transformation in a method for determining the original broken block size of a rock mass in an embodiment;

[0053] Figure 4-3 is an image of corner points in a core box in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0054] Figure 4-4 is an image after projection transformation in a method for determining the original broken block size of a rock mass in an embodiment;

[0055] Figure 4-5 is an image after the second shear transformation in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0056] Figure 4-6The image is a scaled transformed image in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0057] Figure 5 The structural surface feature extraction image in the method for determining the original broken block size of a rock mass in an embodiment;

[0058] Figure 6 is a structural surface network image in a method for determining the original fragmentation size of a rock mass in an embodiment;

[0059] Figure 7 The present invention is a principle block diagram of a device for determining the original broken block size of a rock mass in an embodiment. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0061] The method for determining the original fragmentation size of a rock mass provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Figure 1 As shown, the application environment includes a computer device 110. The computer device 110 includes a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor implements a method for determining the original fragmentation size of a rock mass in the following embodiment when executing a computer program. The computer device 110 may be, but is not limited to, various personal computers, laptop computers, robots, tablet computers, and the like.

[0062] like Figure 2 As shown, this embodiment provides a method for determining the original fragmentation size of a rock mass, including digitization of core photographs, geometric transformation of images, structural surface feature extraction, structural surface network reconstruction, and original fragmentation size statistics. Figure 3 As shown in Figure 1, the digitization of core photos is to convert core photos into digital images; Figure 4-1 , 4-2 , 4-4, 4-5, and 4-6, the geometric transformation of the image is to intercept and correct the target core using digital image geometric change technology to meet the needs of subsequent image processing and analysis; Figure 5 As shown in , structural surface feature extraction is the extraction of structural surface feature parameters in the core image, mainly the extraction of structural surface slope (or dip) and relative position coordinates; Figure 6 As shown in FIG. 1 , the structural surface network reconstruction is to determine the structural surface slope (or inclination) and specific position coordinates of a certain spatial position through the structural surface characteristic parameters extracted above, and to restore the two-dimensional spatial distribution of the structural surface network using image processing technology; Figure 7As shown, the original broken block size statistics use image processing technology to identify rock blocks and the boundaries between rock blocks, so as to achieve statistics on the characteristic parameters (such as area) of each rock block. Based on the rock block characteristic parameters, the original broken block size of the rock mass corresponding to the processed and analyzed core photos can be determined.

[0063] Step S210, digitization of core photographs.

[0064] like Figure 2 As shown in Figure 1, the digitization of core photos is based on digital image processing technology. By sampling (discretization of coordinate space) and quantizing (discretization of property space) the core photos, a digital representation of the core photo can be obtained, that is, a core digital image (such as Figure 3 shown).

[0065] Step S220: geometric transformation of the image.

[0066] like Figure 2 As shown, the geometric transformation of the core image includes the first shear transformation of the image (such as Figure 4-1 As shown), image rotation transformation (as Figure 4-2 As shown), image projection transformation (as Figure 4-4 As shown), the second shear transformation of the image (as shown Figure 4-5 As shown), image scaling transformation (as Figure 4-6 shown).

[0067] The first shear transformation of the image is in the core image (such as Figure 3 The target core image portion is cut out from the image, i.e., a complete core box information is included. Figure 4-1 As shown in the figure, the image rotation transformation is to rotate the image according to the actual placement of the core in the core box, which is convenient for unified processing and simplification of subsequent calculation procedures. The image rotated according to the actual placement order of the core is shown in the figure. Figure 4-2 As shown in the figure, the image projection transformation is based on the rectangular core box. The purpose is to change the core box in the image from a non-rectangular shape to a rectangular shape. The projection transformation method is to transform the four inner corner points 1 (such as Figure 4-3 As shown) is projected onto the rectangular border of the entire image, Figure 4-4 As shown in the figure, the second shearing transformation of the image is to shear the image according to the core box, so as to retain only the core box and core information. Figure 4-5 As shown, it is convenient for the subsequent image size calibration; the image scaling transformation is to make the image after the second shearing transformation correspond to the actual size in a certain ratio. The size of the image after shearing is M×N pixels. When the width of the core box is W (mm) and the length is L (mm), the original image of M×N pixels is scaled to L×W pixels, as shown in Figure 4-6 As shown, it is convenient for the subsequent statistical analysis of the relevant parameters of the original broken piece size.

[0068] Step S230: structural surface feature extraction.

[0069] The structural surface feature extraction method is to use the core image after geometric transformation ( Figure 4-6 ) is used as the reference, and the structural surface is depicted in the order in which the cores are actually placed. The depiction method is as follows: Figure 5 As shown in the figure, a straight line of the structural surface is drawn in the figure according to the distribution of the structural surface shown by the core in the image. The slope (or dip) and position coordinates of the structural surface can be calculated through the pixel coordinates of the two end points of the straight line. If the placement of a section of the core is opposite to that of the adjacent core above it (determined by the joint surface between the cores), the slope of the obtained structural surface is multiplied by -1. Then the slope and dip calculation method of a certain structural surface is:

[0070]

[0071] In the formula, k i and α i The slope and angle values ​​determined for the i-th structural surface; w i is the slope adjustment value of the i-th structural surface. If the slope needs to be adjusted, then w i is 2, otherwise w i is 1; point (y i1 ,x i1 ) and point (y i2 ,x i2 ) are the pixel coordinates of the two endpoints of the i-th structural surface.

[0072] The relative position of the structural surface is based on the pixel coordinates of the midpoint of the structural surface line (y mi ,x mi ) instead, where y mi The value represents the depth of the structure surface, x mi It can be used to determine that the core is located in the nth slot of the core box. The specific method is to divide the W pixels representing the width of the core box into N intervals from left to right according to the total number of slots N. mi The interval in which it is located is the nth groove. The pixel coordinates of the midpoint of the straight line on the structural surface (y mi ,x mi ) is calculated as:

[0073]

[0074] In the formula, point (y mi ,x mi ) is the pixel coordinate of the midpoint of the straight line representing the structural surface; n is the number of slots of the structural surface located in the core box; L is the pixel value equal to the actual length of the core box.

[0075] Step S240, the structural surface network is reproduced.

[0076] Through the above structural surface feature extraction (such as Figure 5 As shown in the figure, the slope of the structural surface at a certain spatial position and the specific relative position coordinates can be determined. Since the size of the analyzed area is relatively small, the default structural surface is a through structural surface. The specific process includes:

[0077] First, a binary image of the target area is constructed. According to the total length of the cores in the core box, a 1 matrix corresponding to the size of the target area is generated. If the total length of a box of cores is 6m, a 1 matrix of 6000 rows × 6000 columns is generated. In the binary image, 1 represents white.

[0078] Then, draw the structural surface network. The method is to assign 0 (black) to the pixel value corresponding to the position of the two-dimensional structural surface in the binary image. By default, the core is located in the middle of the binary image (determined by the horizontal position). Based on the obtained structural surface slope and the coordinates of the midpoint position of the structural surface (here mainly y representing the depth value of the structural surface) mi Value), identify the pixels corresponding to the positions of the two-dimensional spatial structure surface and assign these pixels to 0. Since all pixel coordinates are integers, in order to prevent pixel discontinuity, the following calculation formula is used to identify the pixel (y, x):

[0079] y=k(x-0.5NL)+y mi x∈[1,NL] Formula 3

[0080] Wherein, N is the total number of slots in the core box; L is the length of the core box; k is the slope of the structural surface; when x is taken, the increment value Δx is determined according to the value of k, when -1≤k≤1, Δx=1, when k≤-15 or 15≤k, Δx=0.01, and in other intervals, Δx=0.1.

[0081] The positive integer pixel point (y) corresponding to (y, x) is determined by formula 3. z ,x z ). In order to further prevent pixel discontinuity, the 8-neighborhood method is used to continue assigning values, that is, (y z ,x z )、(y z ,x z -1)、(y z -1,x z )、(y z -1,x z -1)、(y z ,x z +1)、(y z +1,x z )、(y z +1,x z+1)、(y z -1,x z +1)、(y z +1,x z -1) points are all 0. Using the above method to draw the structural surface network can ensure that there is no structural surface discontinuity, such as Figure 6 As shown, this facilitates the subsequent identification of the original broken size of the rock mass.

[0082] Step S250: statistics of original broken pieces.

[0083] The above work reproduces the rock mass structural surface network in the binary image. Figure 6 As shown in the figure, the pixel value representing the rock block is 1 (white), and the pixel value of the structural surface (rock block boundary line) is 0 (black). The rock block can be identified by the difference in adjacent pixel values, and the pixel points representing each rock block are saved. The block size of the rock block can be calculated by the pixel points representing each rock block. The area of ​​the rock block is calculated by the pixel points belonging to the rock block (each pixel represents 1mm 2 ), and the block size can be expressed by the equivalent circle diameter D (block size), that is:

[0084]

[0085] In the formula, S r is the area of ​​the rock mass, mm 2 .

[0086] Formula 4 can be used to calculate the block size of each rock block in the image, thereby determining the original broken block size of the rock mass in a specific area.

[0087] like Figure 7 As shown, in one embodiment, a device 300 for determining the original fragmentation size of a rock mass is provided. The device is applied to Figure 1 The computer device 110 shown includes: a collection unit 310, a transformation unit 320, a feature extraction unit 330, a construction unit 340 and a statistics unit 350, wherein:

[0088] The acquisition unit 310 is used to acquire core photos and pre-process the core photos to obtain core images;

[0089] The transformation unit 320 is used to perform geometric transformation based on the core box in the core image to obtain a corrected core image;

[0090] The feature extraction unit 330 is used to extract structural surface feature parameters in the corrected core image, wherein the structural surface feature parameters include structural surface slope and relative position coordinates;

[0091] The construction unit 340 is used to restore the structural surface network by using the extracted structural surface feature parameters and image processing technology;

[0092] The statistical unit 350 is used to obtain the original broken block size information of the rock mass corresponding to the core photo based on the structural surface network.

[0093] In one embodiment, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for determining the original fragmentation size of a rock mass as described above is implemented.

[0094] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0095] The above are only preferred embodiments of the embodiments of the present application and are not intended to limit the embodiments of the present application. For those skilled in the art, the embodiments of the present application may have various modifications and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the embodiments of the present application shall be included in the protection scope of the embodiments of the present application.

Claims

1. Method for determining the original fragmentation size of rock mass, It is characterized in that The steps include: Collect core photos, and pre-process the core photos to obtain core images; Performing geometric transformation based on the core box in the core image to obtain a corrected core image; Extracting structural surface characteristic parameters from the corrected core image, wherein the structural surface characteristic parameters include structural surface slope and relative position coordinates; The structural surface network is restored by using the extracted structural surface characteristic parameters and image processing technology, which specifically includes the following steps: constructing a binary image based on the structural surface characteristic parameters in the corrected core image; in the binary image, the value of the pixel point corresponding to the position of the two-dimensional spatial structural surface is assigned to 0, and the calculation formula of the pixel point (y, x) is as follows: y=k(x-0.5NL)+y mi x∈[1,NL] Formula 3 Where N is the total number of slots in the core box; L is the length of the core box; k is the slope of the structural surface; when x is taken, the increment value Δx is determined according to the value of k. When -1≤k≤1, Δx=1; when k≤-15 or 15≤k, Δx=0.01; in other intervals, Δx=0.1; the positive integer pixel point (y) corresponding to (y,x) is determined by formula 3. z ,x z ), the 8-neighborhood method is used to continue the assignment, that is, (y z ,x z )、(y z ,x z -1)、(y z -1,x z )、(y z -1,x z -1)、(y z ,x z +1)、(y z +1,x z )、(y z +1,x z +1)、(y z -1,x z +1)、(y z +1,x z -1) The average value of each point is assigned to 0, thus obtaining a structural surface network; Based on the structural surface network, the original rock fragmentation information corresponding to the core photos is obtained.

2. The method for determining the original fragmentation size of a rock mass according to claim 1, It is characterized in that The preprocessing includes sampling and quantification of core photographs.

3. The method for determining the original fragmentation size of a rock mass according to claim 1, It is characterized in that The step of performing geometric transformation based on the core box in the core image to obtain a corrected core image specifically includes the following steps: Cutting out a target core image from the core image, wherein the target core image includes complete core box information; Rotate the target core image according to the actual placement of the core in the core box; Taking the rectangular core box as a reference, the four inner corner points of the non-rectangular core box in the target core image are projected onto the rectangular frame of the entire image, and the core box in the target core image is transformed from a non-rectangular shape to a rectangular shape; Cut the rectangular core box in the target core image; The cut rectangular core box image is scaled at a certain ratio to make it correspond to the actual size of the core box, thus obtaining a corrected core image.

4. The method for determining the original fragmentation size of a rock mass according to claim 1, It is characterized in that The step of extracting structural surface characteristic parameters from the corrected core image specifically comprises the following steps: Taking the starting core in the corrected core image as the reference, the structural surface is depicted in the actual arrangement order of the cores. The structural surface straight line is drawn in the figure according to the distribution of the structural surface shown by the core in the image. The slope and position coordinates of the structural surface can be calculated through the pixel coordinates of the two end points of the straight line. If the placement of a core section is opposite to that of its upper neighboring core, the slope of the structural surface is multiplied by -1. The slope and inclination of the structural surface are calculated as follows: In the formula, k i and α i The slope and angle values ​​determined for the i-th structural surface; w i is the slope adjustment value of the i-th structural surface. If the slope needs to be adjusted, then w i is 2, otherwise w i is 1; point (y i1 ,x i1 ) and point (y i2 ,x i2 ) are the pixel coordinates of the two endpoints of the i-th structural surface; The relative position of the structural surface is based on the pixel coordinates of the midpoint of the structural surface line (y mi ,x mi ) instead, where y mi The value represents the depth of the structure surface, x mi It can be used to determine whether the core is located in the nth slot of the core box, and the pixel coordinates of the midpoint of the structural surface line (y mi ,x mi ) is calculated as: In the formula, point (y mi ,x mi ) is the pixel coordinate of the midpoint of the straight line representing the structural surface; n is the number of slots of the structural surface located in the core box; L is the pixel value equal to the actual length of the core box.

5. The method for determining the original fragmentation size of a rock mass according to claim 1, It is characterized in that The method of obtaining the original rock fragmentation information corresponding to the core photo based on the structural surface network specifically includes the following steps: Based on the structural surface network, the pixel point of each rock block is determined by the difference of adjacent pixel values; Calculate the blockiness value of each rock block in the image based on the pixel points of each rock block; By counting the block size of each rock block, we can obtain the original broken block size information of the rock mass corresponding to the core photo.

6. Device for determining the original rock mass fragmentation size, It is characterized in that include: Acquisition unit, transformation unit, feature extraction unit, structural surface network construction unit and statistical unit, wherein, The acquisition unit is used to acquire core photos and pre-process the core photos to obtain core images; The transformation unit is used to perform geometric transformation based on the core box in the core image to obtain a corrected core image; The feature extraction unit is used to extract structural surface feature parameters in the corrected core image, wherein the structural surface feature parameters include structural surface slope and relative position coordinates; The construction unit is used to restore the structural surface network by using the extracted structural surface characteristic parameters and image processing technology, and specifically includes the following steps: constructing a binary image based on the structural surface characteristic parameters in the corrected core image; in the binary image, the value of the pixel point corresponding to the position of the two-dimensional spatial structural surface is assigned to 0, and the calculation formula of the pixel point (y, x) is as follows: y=k(x-0.5NL)+y mi x∈[1,NL] Formula 3 Where N is the total number of slots in the core box; L is the length of the core box; k is the slope of the structural surface; when x is taken, the increment value Δx is determined according to the value of k. When -1≤k≤1, Δx=1; when k≤-15 or 15≤k, Δx=0.01; in other intervals, Δx=0.1; the positive integer pixel point (y) corresponding to (y,x) is determined by formula 3. z ,x z ), the 8-neighborhood method is used to continue the assignment, that is, (y z ,x z )、(y z ,x z -1)、(y z -1,x z )、(y z -1,x z -1)、(y z ,x z +1)、(y z +1,x z )、(y z +1,x z +1)、(y z -1,x z +1)、(y z +1,x z -1) The average value of each point is assigned to 0, thus obtaining a structural surface network; The statistical unit is used to obtain the original broken block size information of the rock mass corresponding to the core photo based on the structural surface network.

7. A computer device, It is characterized in that include: Memory for storing computer programs; A processor is used to implement the method for determining the original fragmentation size of a rock mass as described in any one of claims 1 to 5 when executing the computer program.

8. A readable storage medium, It is characterized in that The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for determining the original fragmentation size of a rock mass as described in any one of claims 1 to 5 is implemented.

Images