CN116912458A - Finite element model generation method and device for coal rock and electronic equipment - Google Patents
Finite element model generation method and device for coal rock and electronic equipment Download PDFInfo
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- 239000011435 rock Substances 0.000 title claims abstract description 183
- 239000003245 coal Substances 0.000 title claims abstract description 182
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Abstract
The disclosure provides a finite element model generation method and device for coal and rock and electronic equipment. Comprising the following steps: acquiring a Computed Tomography (CT) image sequence corresponding to an initial coal rock, determining initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of a local initial coal rock corresponding to each CT image according to the size information and the image size information of the coal rock, generating a first body point corresponding to the first pixel point according to the initial size information and the initial thickness, determining mineral component information corresponding to the first pixel point as mineral component information corresponding to the corresponding first voxel point, and generating a target finite element model according to a plurality of first body points and the mineral component information corresponding to each body point, so that the size information and the mineral component information of the initial coal rock can be accurately represented by the target finite element model, and the generation effect of the finite element model of the coal rock can be effectively improved.
Description
Technical Field
The disclosure relates to the technical field of finite element models, in particular to a method and a device for generating a finite element model of coal rock and electronic equipment.
Background
However, at present, numerical computation generally assumes that the coal rock is wholly homogeneous or a microstructure is generated randomly according to mineral proportion based on statistical distribution, the heterogeneity of mineral composition, content and spatial distribution characteristics of the real coal rock is difficult to accurately reflect, so that the problem of inaccurate model feeding becomes a technical bottleneck for restricting further development of rock mechanical numerical computation, along with continuous upgrading of scanning observation means and remarkable improvement of computing capability of a computer, nondestructive perspective and three-dimensional reconstruction of morphological characteristics of the internal space of the rock can be realized based on digital image processing technology of CT scanning equipment and the like, powerful technical support is provided for microscopic structural damage, mechanical destruction and the like of the coal rock, CT scanning images of the coal rock are digitized, a two-dimensional and three-dimensional finite element model which can be used for numerical computation is generated, numerical computation research of the coal rock mechanical behavior and fracture characteristics is developed on the basis, and the numerical computation research of the model feeding can be better compared with experimental research results, and powerful support is provided for constructing a coal rock microscopic heterogeneous quantitative characterization system.
In the related art, the finite element model based on the CT scanning image of the coal rock cannot accurately represent the size information and the mineral composition information of the real coal rock, so that the generation effect of the finite element model of the coal rock is poor, and the accuracy and the reliability of subsequent calculation are affected.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present disclosure is to provide a method, an apparatus, an electronic device, and a storage medium for generating a finite element model of a coal rock, so that a target finite element model can accurately represent size information and mineral composition information of an initial coal rock, thereby effectively improving a finite element model generating effect of the coal rock.
The finite element model generation method for coal rock provided by the embodiment of the first aspect of the disclosure comprises the following steps: acquiring a Computed Tomography (CT) image sequence corresponding to an initial coal rock, wherein the initial coal rock has corresponding coal rock size information, the CT image has corresponding image size information, initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of a local initial coal rock corresponding to each CT image are determined according to the coal rock size information and the image size information, a first body point corresponding to the first pixel point is generated according to the initial size information and the initial thickness, and then mineral component information corresponding to the first pixel point is determined as corresponding first voxel point corresponding mineral component information, wherein the mineral component information is used for indicating the first pixel point or the mineral component of the local initial coal rock corresponding to the first body point, and a target finite element model is generated according to a plurality of first voxel points and the mineral component information corresponding to each body point.
According to the method for generating the finite element model of the coal rock, which is provided by the embodiment of the first aspect of the disclosure, a computer body layer shooting CT image sequence corresponding to the initial coal rock is obtained, wherein the initial coal rock has corresponding coal rock size information, CT images have corresponding image size information, initial size information of first pixel points in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image are determined according to the coal rock size information and the image size information, first body pixel points corresponding to the first pixel points are generated according to the initial size information and the initial thickness, then mineral component information corresponding to the first pixel points is determined to be mineral component information corresponding to corresponding first voxel points, wherein the mineral component information is used for indicating the first pixel points or the mineral components of the local initial coal rock corresponding to the first body pixel points, and a target finite element model is generated according to the first voxel points and the mineral component information corresponding to each body pixel point, so that the target finite element model can represent the size information and the mineral component information of the initial coal rock, and the mineral component information can effectively represent the coal rock.
The finite element model generating device for coal rock provided by the embodiment of the second aspect of the disclosure comprises: the acquisition module is used for acquiring a computer tomography CT image sequence corresponding to the initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and the CT image has corresponding image size information; the first determining module is used for determining initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information; the first generation module is used for generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness; the second determining module is used for determining the mineral composition information corresponding to the first pixel point as the mineral composition information corresponding to the corresponding first voxel point, wherein the mineral composition information is used for indicating the mineral composition of the first pixel point or the local initial coal rock corresponding to the first voxel point; the second generation module is used for generating a target finite element model according to the plurality of first body points and the mineral composition information corresponding to each body point.
According to the finite element model generation device for the coal rock, provided by the embodiment of the second aspect of the disclosure, through acquiring a computer tomography CT image sequence corresponding to an initial coal rock, wherein the initial coal rock has corresponding coal rock size information, the CT image has corresponding image size information, initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of a local initial coal rock corresponding to each CT image are determined according to the coal rock size information and the image size information, then according to the initial size information and the initial thickness, a first voxel point corresponding to the first pixel point is generated, then mineral component information corresponding to the first pixel point is determined to be mineral component information corresponding to the corresponding first voxel point, wherein the mineral component information is used for indicating the first pixel point or the mineral component of the local initial coal rock corresponding to the first voxel point, and according to a plurality of first voxel points and the mineral component information corresponding to each voxel point, a target finite element model is generated, so that the target finite element model can represent the size information and the mineral component information of the initial coal rock, and the mineral component information can effectively represent the coal rock.
An embodiment of a third aspect of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the program to implement a finite element model generating method for coal rock as set forth in the embodiment of the first aspect of the present disclosure.
An embodiment of a fourth aspect of the present disclosure proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements a finite element model generation method of coal rock as proposed by an embodiment of the first aspect of the present disclosure.
A fifth aspect embodiment of the present disclosure proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a finite element model generation method of coal rock as proposed by the first aspect embodiment of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a finite element model generation method for coal rock according to an embodiment of the present disclosure;
FIG. 2 is a schematic view of an initial coal rock projection according to an embodiment of the present disclosure;
FIG. 3A is a schematic view of a CT image of granite according to an embodiment of the present disclosure;
FIG. 3B is a schematic view of a CT image of a coal according to an embodiment of the present disclosure;
FIG. 4 is a flow diagram of a finite element model generation method of coal rock according to another embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a pseudo-color image according to an embodiment of the present disclosure;
FIG. 6A is a schematic view showing a tangential plane corresponding to a second voxel before merging according to an embodiment of the present disclosure;
FIG. 6B is a schematic view showing a section of the combined second voxel according to one embodiment of the disclosure;
FIG. 7 is a flow chart of a finite element model generation method for coal rock according to another embodiment of the present disclosure;
FIG. 8 is a schematic structural diagram of a finite element model generating device for coal rock according to an embodiment of the present disclosure;
fig. 9 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
Fig. 1 is a schematic flow chart of a finite element model generation method of coal rock according to an embodiment of the disclosure.
It should be noted that, the execution main body of the finite element model generating method of the coal rock in this embodiment is a finite element model generating device of the coal rock, and the device may be implemented in a software and/or hardware manner, and the device may be configured in an electronic device, where the electronic device may include, but is not limited to, a terminal, a server, and the like.
As shown in fig. 1, the finite element model generation method of the coal rock comprises the following steps:
s101: and acquiring a Computed Tomography (CT) image sequence corresponding to the initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and the CT image has corresponding image size information.
In the embodiments of the present disclosure, the initial coal rock may be, for example, rock samples involved in experimental studies of coal rock, such as standard cylindrical samples (diameter 50mm, height 50 mm) and disk samples (diameter 50mm, height 25 mm), without limitation.
In the embodiment of the disclosure, referring to fig. 2, fig. 2 is a schematic view of initial coal rock projection according to an embodiment of the disclosure, that is, the coal rock is placed on a sample stage of a high-resolution computed tomography (Computed Tomography, CT) system, and a plurality of projection images are generated by using differences in penetrating power of X-rays of different angles to the coal rock, so as to obtain a computed tomography CT image sequence corresponding to the initial coal rock.
In the embodiment of the disclosure, referring to fig. 3A and 3B, fig. 3A is a schematic CT image diagram corresponding to granite according to an embodiment of the disclosure, and fig. 3B is a schematic CT image diagram corresponding to coal according to an embodiment of the disclosure, because the absorption capacity of different components in the initial coal and rock to X-rays is different, the brightness of each component in the CT image is different, and the different components in the initial coal and rock can be distinguished by this principle.
In the embodiment of the disclosure, the CT image sequence may be a plurality of CT images sequentially distributed according to the distribution condition of the initial coal and rock, and the CT images may be gray images, which is not limited.
The coal rock size information may be, for example, a height and a diameter of the initial coal rock, and the image size information may be, for example, a side length of a coal rock portion in the CT image, which is not limited.
S102: and determining initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information.
In an embodiment of the disclosure, each CT image may include a plurality of first pixel points, and size information of the first pixel points may be referred to as initial size information, and a thickness of a local initial coal rock corresponding to each CT image may be referred to as initial thickness.
In the embodiment of the disclosure, according to the size information of the coal and rock and the size information of the image, the initial size information of the first pixel point in each CT image in the CT image sequence and the initial thickness of the local initial coal and rock corresponding to each CT image may be determined, for example, by determining that the image size information is 55.5mm on the side of the CT image and determining the pixel value of the CT image (1592 1592), then, the size information of each first pixel point may be determined to be 0.0349mm 0.0349mm (55.5 mm/1592=0.0349 mm), and further, the coal and rock height of the initial coal and rock may be determined, and then dividing the coal and rock height by the number of CT images in the CT image sequence, so as to obtain the initial thickness of the local initial coal and rock corresponding to each CT image.
S103: and generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness.
According to the embodiment of the disclosure, after initial size information of a first pixel point in each CT image in a CT image sequence and initial thickness of local initial coal rock corresponding to each CT image are determined according to the coal rock size information and the image size information, a first pixel point corresponding to the first pixel point can be generated according to the initial size information and the initial thickness, and the first pixel point is a three-dimensional cuboid with the initial size information (length and width) of the first pixel point and the initial thickness of the CT image where the first pixel point is located being high.
S104: and determining the mineral component information corresponding to the first pixel point as the mineral component information corresponding to the corresponding first voxel point.
The mineral composition information is used to indicate the mineral composition of the first pixel point or the local initial coal rock corresponding to the first body point, and the mineral composition may be, for example, marble or granite, without limitation.
In the embodiment of the disclosure, after the first voxel point corresponding to the first pixel point is generated according to the initial size information and the initial thickness, the mineral composition information corresponding to the first pixel point may be determined as the mineral composition information corresponding to the corresponding first voxel point.
That is, in the embodiment of the present disclosure, according to the appearance of the local initial coal and rock described by the first pixel, the mineral composition information of the local initial coal and rock corresponding to the first pixel may be determined, and the mineral composition information corresponding to the first pixel may be determined as the mineral composition information corresponding to the corresponding first voxel.
S105: and generating a target finite element model according to the plurality of first body points and the mineral composition information corresponding to each body point.
In the embodiment of the disclosure, the mineral composition information corresponding to the first pixel point is determined to be the mineral composition information corresponding to the corresponding first voxel point, and the target finite element model may be generated according to the plurality of first voxel points and the mineral composition information corresponding to each voxel point.
In some embodiments, the target finite element model is generated according to the plurality of first voxels and the mineral composition information corresponding to each voxel, which may be obtained by obtaining an initial finite element model corresponding to the initial coal rock, and then adjusting the initial finite element model accordingly based on the plurality of first voxels and the mineral composition information corresponding to each voxel, and taking the adjusted initial finite element model as the target finite element model.
Or, according to the plurality of first voxels and the mineral composition information corresponding to each voxel, generating a target finite element model, or writing the plurality of first voxels and the mineral composition information corresponding to each voxel into a text file according to the writing format of a finite element grid model file to form a finite element grid model file, and then importing the finite element grid model file containing grid information into CAE finite element numerical value calculation software to generate the target finite element model, which is not limited.
In the embodiment of the disclosure, a Computed Tomography (CT) image sequence corresponding to an initial coal and rock is acquired, wherein the initial coal and rock has corresponding coal and rock size information, the CT image has corresponding image size information, initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of a local initial coal and rock corresponding to each CT image are determined according to the coal and rock size information and the image size information, then a first voxel point corresponding to the first pixel point is generated according to the initial size information and the initial thickness, and then mineral component information corresponding to the first pixel point is determined as mineral component information corresponding to the corresponding first voxel point, wherein the mineral component information is used for indicating the first pixel point or the mineral component of the local initial coal and rock corresponding to the first voxel point, and a target finite element model is generated according to the plurality of first voxel points and the mineral component information corresponding to each voxel point, so that the target finite element model can accurately characterize the size information and the mineral component information of the initial coal and rock, and thus the coal and rock generation effect of the finite element model of the initial coal and rock can be effectively promoted.
Fig. 4 is a flow chart of a finite element model generation method of coal rock according to another embodiment of the present disclosure.
As shown in fig. 4, the finite element model generation method of the coal rock comprises the following steps:
s401: and acquiring a Computed Tomography (CT) image sequence corresponding to the initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and the CT image has corresponding image size information.
S402: and determining initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information.
The descriptions of S401 to S402 may be specifically referred to the above embodiments, and are not repeated herein.
S403: an initial gray value of a first pixel point in the CT image is determined.
The gray value of the first pixel in the CT image may be referred to as an initial gray value.
In the embodiment of the present disclosure, an initial gray value of each first pixel point in each CT image may be determined, and then, a subsequent finite element model generating method for coal and rock may be triggered and executed based on the initial gray value of the first pixel point in the CT image, which may be specifically referred to the subsequent embodiment and will not be described herein.
S404: dividing the plurality of first pixel points according to the mineral component information to obtain a pixel point set corresponding to the mineral component information.
In the embodiment of the disclosure, the plurality of first pixels may be divided according to the mineral composition information to determine a set of pixels corresponding to each mineral composition information.
In some embodiments, the dividing the plurality of first pixels according to the mineral composition information to obtain the set of pixels corresponding to the mineral composition information may be determining the mineral composition information corresponding to each first pixel, determining the plurality of first pixels of the same mineral composition information, and determining the plurality of first pixels of the same mineral composition information as the set of pixels corresponding to the mineral composition information.
Optionally, in some embodiments, the dividing the plurality of first pixels according to the mineral composition information to obtain the set of pixels corresponding to the mineral composition information may be determining a category number of the mineral composition described by the mineral composition information, determining a category number of gray value intervals according to the mineral composition information, and dividing the plurality of first pixels according to the gray value intervals and an initial gray value of the first pixels in the CT image to obtain the set of pixels corresponding to the mineral composition information.
The number of mineral component types described in the mineral component information in the initial coal rock can be called the type number.
The gray value interval may be a preset gray value range.
In the embodiment of the disclosure, the number of types of mineral components described by the mineral component information may be determined, a number of gray value intervals of the types may be determined according to a gray value range of a corresponding image represented by the mineral component information in the CT image, and then the plurality of first pixel points may be divided according to the gray value intervals and an initial gray value of the first pixel points in the CT image, so as to obtain a set of pixel points corresponding to the mineral component information.
For example, the mineral component information of the initial coal rock (granite) may be classified into three types according to the gray value of the CT scan image thereof, and the gray value range corresponding to each mineral component information is feldspar (0-67), quartz (68-105) and quartz (106-255), so that the gray value range corresponding to each mineral component information may be determined as a corresponding gray value interval, and then, a plurality of first pixels whose initial gray values fall into the corresponding gray value interval may be determined as one pixel set, which is not limited.
S405: a preset gray value corresponding to the mineral composition information is determined.
In the embodiment of the disclosure, after dividing the plurality of first pixels according to the mineral composition information to obtain the set of pixels corresponding to the mineral composition information, a preset gray value corresponding to each mineral composition information may be determined.
For example, the preset gray value corresponding to feldspar (0-67) may be determined to be 30, the preset gray value corresponding to quartz (68-105) may be determined to be 80, and the preset gray value corresponding to feldspar (68-255) may be determined to be 150.
For example, the gray value may be set to 30 for feldspar minerals having a gray value of 0 or more and 67 or less; quartz minerals with gray values greater than 67 and less than or equal to 105 are uniformly set to 80; feldspar with gray value greater than 67 and less than or equal to 255 is uniformly set to 150.
S406: and adjusting the initial gray value of each first pixel point in the pixel point set corresponding to the mineral component information to a corresponding preset gray value so as to obtain a pseudo-color image.
After determining the preset gray value corresponding to the mineral composition information, the embodiment of the disclosure may adjust the initial gray value of each first pixel point in the set of pixel points corresponding to the mineral composition information to the corresponding preset gray value to obtain the pseudo color image.
For example, the gray values of the feldspar minerals with the gray values of 0 or more and 67 or less may be uniformly adjusted to the preset gray value 30, the quartz minerals with the gray values of 67 or more and 105 or less may be uniformly adjusted to the preset gray value 80, and the mica with the gray values of 67 or more and 255 or less may be uniformly adjusted to the preset gray value 150, so as to obtain the pseudo color chart shown in fig. 5 (as shown in fig. 5, fig. 5 is a schematic diagram of the pseudo color chart according to an embodiment of the disclosure).
S407: and generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness.
S408: and determining the mineral composition information corresponding to the first pixel point as the mineral composition information corresponding to the corresponding first voxel point, wherein the mineral composition information is used for indicating the mineral composition of the first pixel point or the local initial coal rock corresponding to the first body point.
Description of S407-S408 can be found in particular in the above embodiments
S409: and generating a target finite element model according to the plurality of first body points and the mineral composition information corresponding to each body point.
Optionally, in some embodiments, the generating of the target finite element model according to the plurality of first voxels and the mineral component information corresponding to each voxel may be obtaining a merging number of voxels, determining the first voxels corresponding to each second pixel in the pseudo color map, processing the corresponding first voxels according to a preset gray value corresponding to the second pixels to obtain the second voxels, merging the plurality of second voxels with the merged number of voxels, and adjusting the gray values corresponding to the merged number of second voxels to a preset gray value corresponding to a second voxel at a preset position in the merged second voxels to obtain a plurality of third voxels, and generating the target finite element model according to the plurality of third voxels.
In the embodiment of the disclosure, the second body pixels and the first body pixels have the same initial size information and initial thickness.
For example, referring to fig. 6A, fig. 6B, fig. 6A is a schematic view showing a section of a second voxel point before being combined according to an embodiment of the present disclosure, and fig. 6B is a schematic view showing a section of a second voxel point after being combined according to an embodiment of the present disclosure, that is, for example, the number of (3) second voxel points combined may be combined, that is, as shown in the section view shown in fig. 6A, each 3 grids may be combined into one grid along the x and y directions, and then each 3 grids may be combined into one grid along the z direction, so that the schematic view showing a section of a second voxel point after being combined according to the embodiment of the present disclosure may be obtained.
After the merging of the number (3) of the second voxel points, the embodiment of the disclosure may be that the gray values corresponding to the merged second voxel points are all adjusted to the preset gray values corresponding to the second voxel points at the center point position, so as to obtain a plurality of third voxel points.
Optionally, in some embodiments, the target finite element model is generated according to the plurality of first voxel points and the mineral component information corresponding to each voxel point, which may be that the target size information and the target thickness of the third voxel point are determined according to the merging quantity of the voxel points and the initial size information and the initial thickness of the second voxel points, and the target finite element model is generated according to the plurality of third voxel points and the target size information and the target thickness of each third voxel point.
In the embodiment of the disclosure, the number of the merged voxel points is obtained, the first voxel points corresponding to each second pixel point in the pseudo color image are determined, the corresponding first voxel points are processed according to the preset gray values corresponding to the second pixel points, so as to obtain the second voxel points, the merged number of the second voxel points is obtained, the gray values corresponding to the merged number of the merged voxel points are all adjusted to the preset gray values corresponding to the second voxel points at the preset positions in the merged second voxel points, so as to obtain a plurality of third voxel points, and then a target finite element model is generated according to the plurality of third voxel points, so that the number of the voxel points can be reduced in a merging mode, and the generation efficiency of the target finite element model can be effectively improved.
In the embodiment of the disclosure, a Computed Tomography (CT) image sequence corresponding to an initial coal rock is obtained, wherein the initial coal rock has corresponding coal rock size information, CT images have corresponding image size information, initial size information of first pixel points in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image are determined according to the coal rock size information and the image size information, initial gray values of the first pixel points in the CT images are determined, a plurality of first pixel points are divided according to mineral component information to obtain a pixel point set corresponding to the mineral component information, and preset gray values corresponding to the mineral component information are determined, and the initial gray value of each first pixel point in the pixel point set corresponding to the mineral component information is adjusted to be a corresponding preset gray value so as to obtain a pseudo-color image, then according to the initial size information and the initial thickness, a first body point corresponding to the first pixel point is generated, the mineral component information corresponding to the first pixel point is determined to be the mineral component information corresponding to the corresponding first voxel point, and then according to the first body points and the mineral component information corresponding to each body point, a target finite element model is generated, so that the target finite element model can accurately represent the size information and the mineral component information of the initial coal rock, and the generation effect of the finite element model of the coal rock can be effectively improved.
Fig. 7 is a flow chart of a finite element model generation method of coal rock according to another embodiment of the present disclosure.
As shown in fig. 7, the finite element model generation method of the coal rock comprises the following steps:
s701: and acquiring a Computed Tomography (CT) image sequence corresponding to the initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and the CT image has corresponding image size information.
S702: and determining initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information.
The descriptions of S701-S702 may be specifically referred to the above embodiments, and are not repeated herein.
S703: mineral composition information corresponding to each first pixel point is determined from the CT image.
According to the embodiment of the disclosure, after initial size information of first pixel points in each CT image in a CT image sequence is determined according to coal rock size information and image size information, mineral composition information corresponding to each first pixel point can be determined according to the CT images.
In some embodiments, determining the mineral composition information corresponding to each first pixel point according to the CT image may be obtaining a reference image corresponding to the CT image, where each reference pixel point in the reference image has corresponding reference mineral composition information, and then, matching the first pixel point with the reference pixel point, and when determining that the first pixel point matches the reference pixel point, using the mineral composition information corresponding to the reference pixel point as the mineral composition information corresponding to each first pixel point.
Optionally, in some embodiments, the determining the mineral component information corresponding to each first pixel point according to the CT image may be performing gray-level equalization processing on the CT image according to a preset gray-level value interval to obtain a target gray-level image, determining a gray-level histogram corresponding to the target gray-level image, and determining the mineral component information corresponding to each pixel point according to the CT image and the gray-level histogram.
Wherein, if the CT image is an 8-bit gray scale image, the preset gray scale value interval may be determined to be 0-255, and if the CT image is a 16-bit gray scale image, the preset gray scale value interval may be determined to be 0-65535, which is not limited.
In the embodiment of the disclosure, gray balance processing is performed on the CT image according to a preset gray value interval to obtain a target gray image, which may be that the maximum gray value and the minimum gray value of a plurality of first pixel points of the CT image are identified, respectively using max hd And min hd Representing, setting a traversing program, reading initial gray value img of each first pixel point on CT image one by one hd For an 8-bit gray level image, the corresponding gray level value img 'after equalization' hd Is img' hd =[(img hd -min hd ) 255]/(max hd -min hd ) In the case of a 16-bit gray scale image, img' hd =[(img hd -min hd ) 65535]/(max hd -min hd ) Thus obtained img' hd And replacing the initial gray value of the corresponding pixel point to obtain a target gray image.
In the embodiment of the disclosure, after the target gray image is determined, a gray histogram corresponding to the target gray image may be determined, and then mineral composition information corresponding to each pixel point may be determined according to the CT image and the gray histogram, that is, by identifying the low point of the peak of the gray histogram curve, the mineral composition information corresponding to each pixel point may be determined, and by appropriately adjusting the distribution condition of the mineral composition in the CT scan image.
Optionally, in some embodiments, before performing gray-level equalization processing on the CT image according to the preset gray-level value interval to obtain the target gray-level image, image filtering processing may also be performed on the CT image.
According to the embodiment of the disclosure, before gray level equalization processing is performed on the CT image according to the preset gray level interval to obtain the target gray level image, in order to improve the display quality of the CT image and improve the processing precision of the subsequent image. The CT image may be subjected to image filtering, i.e. mean filtering, or median filtering, or gaussian filtering.
S704: and generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness.
S705: and determining the mineral composition information corresponding to the first pixel point as the mineral composition information corresponding to the corresponding first voxel point, wherein the mineral composition information is used for indicating the mineral composition of the first pixel point or the local initial coal rock corresponding to the first body point.
S706: and generating a target finite element model according to the plurality of first body points and the mineral composition information corresponding to each body point.
The descriptions of S704-S706 may be specifically referred to the above embodiments, and are not repeated here.
In the embodiment of the disclosure, a Computed Tomography (CT) image sequence corresponding to an initial coal and rock is acquired, wherein the initial coal and rock has corresponding coal and rock size information, the CT image has corresponding image size information, initial size information of a first pixel point in each CT image in the CT image sequence and initial thickness of a local initial coal and rock corresponding to each CT image are determined according to the coal and rock size information and the image size information, mineral component information corresponding to each first pixel point is determined according to the CT image, first voxel point corresponding to the first pixel point is generated according to the initial size information and the initial thickness, mineral component information corresponding to the first pixel point is determined to be mineral component information corresponding to the corresponding first voxel point, and then a target finite element model is generated according to the first voxel points and the mineral component information corresponding to each voxel point, so that the target finite element model can accurately represent the size information and the mineral component information of the initial coal and rock, and the finite element model generation effect of the coal and rock can be effectively improved.
Fig. 8 is a schematic structural diagram of a finite element model generating device for coal rock according to an embodiment of the present disclosure.
As shown in fig. 8, the finite element model generating device 80 for coal rock includes:
an acquisition module 801, configured to acquire a computed tomography CT image sequence corresponding to an initial coal and rock, where the initial coal and rock has corresponding coal and rock size information, and the CT image has corresponding image size information;
a first determining module 802, configured to determine initial size information of a first pixel point in each CT image in the CT image sequence and an initial thickness of a local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information;
a first generation module 803, configured to generate a first integral pixel corresponding to the first pixel according to the initial size information and the initial thickness;
a second determining module 804, configured to determine the mineral composition information corresponding to the first pixel point as the mineral composition information corresponding to the corresponding first voxel point, where the mineral composition information is used to indicate the mineral composition of the first pixel point or the local initial coal rock corresponding to the first voxel point;
the second generation module 805 is configured to generate a target finite element model according to the plurality of first voxels and the mineral composition information corresponding to each voxel.
In some embodiments of the present disclosure, the finite element model generating device 80 for coal rock further includes:
the dividing module is used for dividing the plurality of first pixel points according to the mineral component information to obtain a pixel point set corresponding to the mineral component information;
the third determining module is used for determining a preset gray value corresponding to the mineral composition information;
the adjusting module is used for adjusting the initial gray value of each first pixel point in the pixel point set corresponding to the mineral component information to a corresponding preset gray value so as to obtain a pseudo-color image.
In some embodiments of the present disclosure, the partitioning module is further configured to:
determining the category number of the mineral components described by the mineral component information;
determining a category number of gray value intervals according to the mineral composition information;
dividing the first pixel points according to the gray value interval and the initial gray value of the first pixel points in the CT image to obtain a pixel point set corresponding to the mineral component information.
In some embodiments of the present disclosure, the second generating module 805 is further configured to:
acquiring the merging quantity of voxel points;
determining first body pixels corresponding to each second pixel in the pseudo color image respectively;
Processing the corresponding first voxel point according to the preset gray value corresponding to the second pixel point to obtain a second voxel point;
combining the number of the second body pixels of the voxel point combination, and adjusting gray values corresponding to the number of the second body pixels of the combined voxel point combination to preset gray values corresponding to the second body pixels of preset positions in the second voxel point combination to obtain a plurality of third voxel points;
and generating a target finite element model according to the third voxel points.
In some embodiments of the present disclosure, the second volumetric pixel and the first volumetric pixel have the same initial dimensional information and initial thickness;
wherein, the second generating module 805 is further configured to:
determining target size information and target thickness of a third voxel point according to the combination quantity of the voxel points and the initial size information and the initial thickness of the second voxel point;
and generating a target finite element model according to the plurality of third voxel points, the target size information and the target thickness of each third voxel point.
In some embodiments of the present disclosure, the finite element model generating device 80 for coal rock further includes:
and the fourth determining module is used for determining mineral component information corresponding to each first pixel point according to the CT image.
In some embodiments of the present disclosure, the fourth determining module is further configured to:
performing gray level equalization processing on the CT image according to a preset gray level interval to obtain a target gray level image;
determining a gray histogram corresponding to the target gray image;
mineral composition information corresponding to each pixel is determined from the CT image and the gray level histogram.
In some embodiments of the present disclosure, the fourth determining module is further configured to:
and performing image filtering processing on the CT image before performing gray level equalization processing on the CT image according to a preset gray level interval to obtain a target gray level image.
Corresponding to the finite element model generation method of the coal rock provided by the embodiments of fig. 1 to 7, the present disclosure also provides a finite element model generation device of the coal rock, and since the finite element model generation device of the coal rock provided by the embodiments of the present disclosure corresponds to the finite element model generation method of the coal rock provided by the embodiments of fig. 1 to 7, implementation of the finite element model generation method of the coal rock is also applicable to the finite element model generation device of the coal rock provided by the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.
In this embodiment, a computed tomography CT image sequence corresponding to an initial coal and rock is acquired, where the initial coal and rock has corresponding coal and rock size information, the CT image has corresponding image size information, initial size information of a first pixel point in each CT image in the CT image sequence and an initial thickness of a local initial coal and rock corresponding to each CT image are determined according to the coal and rock size information and the image size information, then a first voxel point corresponding to the first pixel point is generated according to the initial size information and the initial thickness, and then mineral component information corresponding to the first pixel point is determined as mineral component information corresponding to a corresponding first voxel point, where the mineral component information is used to indicate the first pixel point or a mineral component of the local initial coal and rock corresponding to the first voxel point, and a target finite element model is generated according to the plurality of first voxel points and the mineral component information corresponding to each voxel point, so that the target finite element model can accurately characterize the size information and the mineral component information of the initial coal and rock, and thus the finite element model of the coal and rock can be effectively improved.
In order to achieve the above embodiments, the present disclosure further proposes an electronic device including: the finite element model generation method for the coal rock provided by the previous embodiment of the disclosure is realized when the processor executes the program.
To achieve the above-described embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a finite element model generation method of coal rock as proposed in the foregoing embodiments of the present disclosure.
To achieve the above embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a finite element model generation method of coal rock as proposed by the foregoing embodiments of the present disclosure.
Fig. 9 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device shown in fig. 9 is merely an example, and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 9, the electronic device is in the form of a general purpose computing device. Components of an electronic device may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include industry Standard architecture (Industry Standard Architecture; hereinafter ISA) bus, micro channel architecture (Micro Channel Architecture; hereinafter MAC) bus, enhanced ISA bus, video electronics standards Association (Video Electronics Standards Association; hereinafter VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnection; hereinafter PCI) bus.
Electronic devices typically include a variety of computer system readable media. Such media can be any available media that can be accessed by the electronic device and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter: RAM) 30 and/or cache memory 32. The electronic device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 9, commonly referred to as a "hard disk drive").
Although not shown in fig. 9, a magnetic disk drive for reading from and writing to a removable nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable nonvolatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.
The electronic device may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any device (e.g., network card, modem, etc.) that enables the electronic device to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. And the electronic device may also communicate with one or more networks, such as a local area network (Local Area Network; hereinafter: LAN), a wide area network (Wide Area Network; hereinafter: WAN) and/or a public network, such as the Internet, via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with an electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the finite element model generation method of coal rock mentioned in the foregoing embodiment.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program when executed includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented as software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A method for generating a finite element model of coal rock, the method comprising:
acquiring a Computer Tomography (CT) image sequence corresponding to an initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and CT images in the CT image sequence have corresponding image size information;
According to the coal rock size information and the image size information, determining initial size information of a first pixel point in each CT image and initial thickness of local initial coal rock corresponding to each CT image;
generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness;
determining the mineral composition information corresponding to the first pixel point as the corresponding mineral composition information corresponding to the first body pixel point, wherein the mineral composition information is used for indicating the mineral composition of the first pixel point or the local initial coal rock corresponding to the first body pixel point;
and generating a target finite element model according to the first voxel points and the mineral component information corresponding to each voxel point.
2. The method of claim 1, wherein the method further comprises:
determining an initial gray value of the first pixel point in the CT image;
dividing a plurality of first pixel points according to the mineral component information to obtain a pixel point set corresponding to the mineral component information;
determining a preset gray value corresponding to the mineral composition information;
And adjusting the initial gray value of each first pixel point in the pixel point set corresponding to the mineral component information to a corresponding preset gray value so as to obtain a pseudo-color image.
3. The method of claim 2, wherein the dividing the plurality of first pixels according to the mineral composition information to obtain the set of pixels corresponding to the mineral composition information comprises:
determining the category number of the mineral components described by the mineral component information;
determining the number of gray value intervals of the species according to the mineral component information;
and dividing a plurality of first pixel points according to the gray value interval and the initial gray value of the first pixel points in the CT image so as to obtain a pixel point set corresponding to the mineral component information.
4. The method of claim 2, wherein generating the target finite element model from the plurality of first voxel points and the mineral composition information corresponding to each of the voxel points comprises:
acquiring the merging quantity of voxel points;
determining the first body pixel points corresponding to each second pixel point in the pseudo color image respectively;
Processing the corresponding first body pixels according to the preset gray value corresponding to the second pixel to obtain second body pixels;
combining the plurality of second voxel points, and adjusting gray values corresponding to the combined plurality of second voxel points of the voxel points to be the preset gray values corresponding to the second voxel points at preset positions in the combined second voxel points to obtain a plurality of third voxel points;
and generating the target finite element model according to the third voxel points.
5. The method of claim 4, wherein the second voxel and the first voxel have the same initial size information and initial thickness;
wherein the generating the target finite element model according to the third voxel point includes:
determining target size information and target thickness of the third voxel point according to the combination quantity of the voxel points and the initial size information and the initial thickness of the second voxel point;
and generating the target finite element model according to the plurality of third voxel points, the target size information of each third voxel point and the target thickness.
6. The method of claim 1, wherein the method further comprises:
and determining the mineral component information corresponding to each first pixel point according to the CT image.
7. The method of claim 6, wherein said determining said mineral composition information corresponding to each of said first pixels from said CT image comprises:
performing gray level equalization processing on the CT image according to a preset gray level value interval to obtain a target gray level image;
determining a gray histogram corresponding to the target gray image;
and determining mineral component information corresponding to each pixel point according to the CT image and the gray level histogram.
8. The method of claim 7, further comprising, prior to said subjecting said CT image to gray-scale equalization in accordance with a predetermined gray-scale value interval to obtain a target gray-scale image:
and performing image filtering processing on the CT image.
9. A finite element model generation device for coal rock, the device comprising:
the acquisition module is used for acquiring a computer tomography CT image sequence corresponding to the initial coal rock, wherein the initial coal rock has corresponding coal rock size information, and CT images in the CT image sequence have corresponding image size information;
The first determining module is used for determining initial size information of a first pixel point in each CT image and initial thickness of local initial coal rock corresponding to each CT image according to the coal rock size information and the image size information;
the first generation module is used for generating a first body pixel point corresponding to the first pixel point according to the initial size information and the initial thickness;
the second determining module is used for determining the mineral composition information corresponding to the first pixel point as the corresponding mineral composition information corresponding to the first body point, wherein the mineral composition information is used for indicating the mineral composition of the first pixel point or the local initial coal rock corresponding to the first body point;
and the second generation module is used for generating a target finite element model according to the plurality of first voxel points and the mineral component information corresponding to each voxel point.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
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