Tunnel lining development map crack feature data parameterization modeling method and device

Abstract

The application discloses a parameterized modeling method and device based on a tunnel lining development diagram crack feature data, and relates to the technical field of tunnel engineering. The method comprises the following steps: S1, performing segmentation on a panoramic development diagram crack skeleton binary image of a tunnel lining crack damage section analysis area to obtain a segmented crack skeleton binary image; S2, performing crack feature parameter extraction on the segmented crack skeleton binary image to obtain crack spatial parameter features; S3, performing correction on the crack spatial parameter features to obtain corrected crack spatial parameter features; S4, segmenting the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; and S5, performing finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to establish an extended finite element model. The application solves the problem that the crack position is not accurate in the traditional method of establishing a crack model according to the crack position, and effectively improves the accuracy of crack analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tunnel engineering, and in particular to a tunnel lining unfolding map crack feature data parameterization modeling method and device. BACKGROUND

[0002] With the continuous advancement of highway, railway and urban rail transit construction, more and more problems have been exposed in tunnel construction and operation management. Tunnel engineering has now entered a new period of equal emphasis on construction and maintenance, and tunnel lining crack damage problems are attracting more and more attention. At present, the detection of tunnel lining crack damage in engineering is generally a manual drawing method, which has a large error and misleads further research and analysis to some extent.

[0003] Therefore, the rapid detection of tunnel lining cracks and intelligent detection of crack distribution are particularly critical, and it is of great significance to conduct crack quantitative positioning information extraction research, automatic establishment and analysis of extended finite element analysis model, predict the development of cracks, and judge the potential risks of each crack.

[0004] The background description provided herein is for the purpose of generally presenting the context of the disclosure. The subject matter of the section is not prior art to the claims of the present application and should not be admitted to be prior art merely by inclusion in the section. SUMMARY

[0005] In order to overcome the deficiencies in the background art, the present application discloses a tunnel lining unfolding map crack feature data parameterization modeling method and device.

[0006] To achieve the above-mentioned purposes, the present application adopts the following technical solutions:

[0007] The tunnel lining unfolding map crack feature data parameterization modeling method comprises the following steps:

[0008] S1, segmenting the panoramic unfolding map crack skeleton binary image of the tunnel lining crack damage section analysis area to obtain a segmented crack skeleton binary image;

[0009] S2, extracting crack feature parameters from the segmented crack skeleton binary image to obtain crack spatial parameter features;

[0010] S3, correcting the crack spatial parameter features to obtain corrected crack spatial parameter features;

[0011] S4, segmenting the corrected crack spatial parameter features according to the tunnel contour boundary to obtain crack spatial distribution coordinate parameter features;

[0012] S5. Based on the spatial distribution coordinate parameters of the cracks, perform spatial mesh mapping of the finite element model to finally establish an extended finite element model that includes spatial feature information of tunnel lining cracks.

[0013] Specifically, the image segmentation algorithm in step S1 includes the following steps:

[0014] S11. Based on the panoramic unfolded image of the proposed analysis area of ​​the tunnel lining cracked section, the binary image of the crack skeleton P′ is obtained. j,i The image P is obtained by dividing the image into blocks. j,i , where i+1 is the row number of the image in the panoramic unfolded image, and j+1 is the column number of the image in the panoramic unfolded image;

[0015] S12. For the segmented image P j,i Renumber the segments to obtain the binarized image of the crack skeleton after the panoramic unfolding, as shown in the following formula:

[0016]

[0017] Where n is the binarized image P′ of the crack skeleton in the panoramic view of the tunnel during the block division. j,i The number of equal divisions for each dimension.

[0018] Specifically, the crack feature parameter extraction algorithm in step S2 includes the following steps:

[0019] S21, use P j,i [(x0,y0),(x1,y1),……,(x k ,y k [)] represents the segmented panoramic unfolded image, binarized image of the crack skeleton, P. j,i The coordinates of the crack pixels in each block are used to identify the smallest rectangle P including the crack region. j,i [(x min ,y min ),(x max ,y max )],in

[0020]

[0021] Where k is the binarized image P of the crack skeleton after segmentation of the panoramic unfolded image. j,i The number of crack pixels;

[0022] S22. Determine the crack direction according to the following formula, with the diagonal P of the rectangle as the reference. j,i [(x start ,y start ),(x end ,y endInstead of the area crack;

[0023]

[0024] S23, merge images, get panoramic unfolding crack list{P j,i [(x start ,y start ),(x end ,y end )]}。

[0025] Specifically, step S3 is specifically:

[0026] By modifying and optimizing algorithm to panoramic unfolding crack list{P j,i [(x start ,y start ),(x end ,y end )]} is modified, get modified crack parameter feature{C m}, as follows:

[0027]

[0028] Wherein, m is the number of space parameter feature modified crack.

[0029] Specifically, the modification and optimization algorithm includes merging the first and last adjacent crack, deleting short crack and so on.

[0030] Specifically, step S4 specifically includes:

[0031] S41, according to the modified and optimized crack parameter feature, the actual distance corresponding to each pixel is calculated, and the crack coordinate list{C am} is obtained, as shown in the following formula:

[0032] a=d / d p

[0033]

[0034] Wherein a is conversion factor, unit is m / px;d is through the design of the profile inner surface cross section length, unit is m;d p For panoramic unfolding picture width, unit is px;

[0035] S42, according to the tunnel profile boundary, the crack coordinate list{C am} is divided, and the crack space distribution coordinate parameter feature is obtained;The crack space distribution coordinate parameter feature is the top crack coordinate list{C top} and side wall crack coordinate list{C side}, as shown in the following formula:

[0036]

[0037] Specifically, the tunnel contour boundary in step S42 includes a top and sidewalls.

[0038] Specifically, step S5 specifically includes:

[0039] S51, set the crack depth;

[0040] S52, map the crack spatial distribution coordinate parameter feature and the crack depth by an extended finite element model command stream of ABAQUS, and finally establish an extended finite element model including tunnel lining crack spatial feature information.

[0041] Specifically, the crack depth is preset to have three levels: through the protective layer, half the wall thickness, and all through, wherein, through the protective layer < half the wall thickness < all through.

[0042] On the other hand, the application also discloses a tunnel lining unfolding map crack feature data parameterized modeling device, comprising the following units:

[0043] The feature data processing unit is used for segmenting the panoramic unfolding map crack skeleton binary image of the tunnel lining crack damage section analysis area, and obtaining the segmented crack skeleton binary image.

[0044] The feature parameter extraction unit is used for extracting crack feature parameters from the segmented crack skeleton binary image, and obtaining crack spatial parameter features.

[0045] The feature parameter correction unit is used for correcting the crack spatial parameter features to obtain corrected crack spatial parameter features.

[0046] The coordinate parameter extraction unit is used for segmenting the corrected crack spatial parameter features according to the tunnel contour boundary to obtain crack spatial distribution coordinate parameter features.

[0047] The coordinate parameter modeling unit is used for mapping the finite element model spatial grid according to the crack spatial distribution coordinate parameter features, and finally establishing an extended finite element model including tunnel lining crack spatial feature information.

[0048] The tunnel lining unfolding map crack feature data parameterization modeling method disclosed by the application comprises the following steps: S1, segmenting a panoramic unfolding map crack skeleton binary image of a tunnel lining crack damage section analysis area to obtain a segmented crack skeleton binary image; S2, extracting crack feature parameters from the segmented crack skeleton binary image to obtain crack spatial parameter features; S3, correcting the crack spatial parameter features to obtain corrected crack spatial parameter features; S4, segmenting the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; and S5, performing finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to finally establish an extended finite element model comprising tunnel lining crack spatial feature information.

[0049] The tunnel lining unfolding map crack feature data parameterization modeling method disclosed by the application comprises the following steps: S1, segmenting a panoramic unfolding map crack skeleton binary image of a tunnel lining crack damage section analysis area to obtain a segmented crack skeleton binary image; S2, extracting crack feature parameters from the segmented crack skeleton binary image to obtain crack spatial parameter features; S3, correcting the crack spatial parameter features to obtain corrected crack spatial parameter features; S4, segmenting the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; and S5, performing finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to finally establish an extended finite element model comprising tunnel lining crack spatial feature information.

[0050] In addition, the tunnel lining unfolding map crack feature data parameterization modeling method disclosed by the application comprises the following steps: S1, segmenting a panoramic unfolding map crack skeleton binary image of a tunnel lining crack damage section analysis area to obtain a segmented crack skeleton binary image; S2, extracting crack feature parameters from the segmented crack skeleton binary image to obtain crack spatial parameter features; S3, correcting the crack spatial parameter features to obtain corrected crack spatial parameter features; S4, segmenting the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; and S5, performing finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to finally establish an extended finite element model comprising tunnel lining crack spatial feature information. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described below only show some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative effort.

[0052] Figure 1 is a flow chart of the tunnel lining unfolding map crack feature data parameterization modeling method provided by the embodiment of the application;

[0053] Figure 2 is a panoramic unfolding map storage schematic diagram; wherein, Figure 2 A is a 17-level picture example, Figure 2 B is a 16-level picture example;

[0054] Figure 3It is a tunnel panoramic unfolding graph crack skeleton binary image schematic diagram provided by the embodiment of the application.

[0055] Figure 4 It is a binary image block diagram provided by the embodiment of the application.

[0056] Figure 5 It is a panoramic unfolding graph crack merging result schematic diagram provided by the embodiment of the application.

[0057] Figure 6 It is a panoramic unfolding graph crack correction result schematic diagram provided by the embodiment of the application.

[0058] Figure 7 It is a preset crack depth schematic diagram provided by the embodiment of the application.

[0059] Figure 8 It is an abaqus extended finite element model command stream modeling result and crack schematic diagram provided by the embodiment of the application.

[0060] Figure 9 It is a structure schematic diagram of a tunnel lining unfolding graph crack feature data parameterization modeling device provided by the embodiment of the application.

[0061] Figure 10 It is a structure schematic diagram of a tunnel lining unfolding graph crack feature data parameterization modeling device provided by the embodiment of the application. DETAILED DESCRIPTION

[0062] The application can be explained in detail through the following embodiments, and the purpose of the disclosure is to protect all technical improvements within the scope of the application. In the description of the application, it should be understood that the orientation or position relationship indicated by terms such as "up", "down", "front", "back", "left", "right", etc. only corresponds to the drawings of the application, and is for the convenience of describing the application, but does not indicate or imply that the device or element must have a specific orientation.

[0063] Embodiment one

[0064] Reference Figure 1 According to the embodiment, a tunnel lining unfolding graph crack feature data parameterization modeling method is disclosed, which comprises the following steps:

[0065] S1, segmenting the panoramic unfolding graph crack skeleton binary image of the tunnel lining crack damage section analysis area, to obtain the segmented crack skeleton binary image;

[0066] The storage mode of the panoramic unfolding graph is hierarchical storage, and each level of image is composed of four low-level images. The size of each level of image is 512*512 pixels, such as Figure 2The 17th level image is a panoramic expansion image, and the panoramic expansion image crack skeleton binary image P' in the embodiment j,i is obtained accordingly. Based on this storage mode, the panoramic expansion image can display images level by level in the zooming process.

[0067] In the embodiment, Figure 2 A is an example of a 17th level image, which includes four block images. From top to bottom and from left to right, the four images are named as “6-8”, “7-8”, “6-9”, and “7-9”. “6-8” represents that the image is in the 7th column and the 9th row in the panoramic image; “7-8” represents that the image is in the 8th column and the 9th row in the panoramic image; “6-9” represents that the image is in the 7th column and the 10th row in the panoramic image; and “7-9” represents that the image is in the 8th column and the 10th row in the panoramic image.

[0068] Figure 2 B is an example of a 16th level image, and the image is named as “3-4”, which is composed of Figure 2 the four images in A. “3-4” represents that the image is in the 4th column and the 5th row in the panoramic image.

[0069] Specifically, the image segmentation algorithm in step S1 specifically includes the following steps:

[0070] S11, obtaining a panoramic expansion image crack skeleton binary image P' according to a tunnel lining crack section analysis area j,i to obtain a segmented image P j,i , wherein i+1 is the row number of the image in the panoramic expansion image, and j+1 is the column number of the image in the panoramic expansion image.

[0071] The tunnel panoramic expansion image crack skeleton binary image P' j,i , as shown in the reference Figure 3 , the file name is saved as “7-10.jpg”, wherein “7” represents the 8th column in the panoramic image, and the code starts from 0; and “10” represents the 11th row in the panoramic image, and the code starts from 0.

[0072] The segmented image P j,i is obtained based on the slicing algorithm in the numpy array. The tunnel panoramic expansion image crack skeleton binary image P' j,i is read by using the numpy array, which is displayed in the form of a two-dimensional array. The slicing algorithm is used to divide the two dimensions of the array by n, and finally the segmented image P j,i is output.

[0073] S12, renumbering the segmented image P j,i to obtain a segmented panoramic expansion image crack skeleton binary image, as follows:

[0074]

[0075] wherein n is the number of the bin of the tunnel panoramic unfolding image crack skeleton binary image P' j,i The equal number of each dimension.

[0076] The segmented panoramic unfolding image crack skeleton binary image reference Figure 4 .

[0077] S2, crack feature parameter extraction is performed on the segmented crack skeleton binary image, and crack spatial parameter features are obtained;

[0078] Specifically, the crack feature parameter extraction algorithm in step S2 specifically includes the following steps:

[0079] S21, use P j,i [(x0,y0),(x1,y1),……,(x k ,y k )] to represent the segmented panoramic unfolding image crack skeleton binary image P j,i The crack pixel point coordinates of each bin, and the smallest rectangle P j,i [(x min ,y min ),(x max ,y max )] including the crack region are identified, wherein

[0080]

[0081] wherein k is the number of crack pixel points of the segmented panoramic unfolding image crack skeleton binary image P j,i ;

[0082] S22, determine the crack direction according to the following formula, and replace the crack in the region with a rectangle diagonal P j,i [(x start ,y start ),(x end ,y end )];

[0083]

[0084] S23, merge the image, and obtain a panoramic unfolding image crack list {P j,i [(x start ,y start ),(x end ,y end )]};

[0085] Specifically, step S23 is specifically: merging the cracks Pj,i [(x start ,y start ),(x end ,y end Based on the image number, the images are restored and stitched together to obtain the binarized image P′ of the panoramic unfolded crack skeleton. j,i The crack spatial parameter characteristics are obtained, and finally, based on the storage method of the panoramic image, the crack spatial parameter characteristics of the entire panoramic unfolded image are obtained, that is, the crack list {P} of the panoramic unfolded image. j,i [(x start ,y start ),(x end ,y end The image corresponding to )]}, such as Figure 5 As shown;

[0086] S3. Correct the crack space parameter features to obtain the corrected crack space parameter features;

[0087] Specifically, step S3 is as follows:

[0088] The crack list {P} in the panoramic unfolding image was improved by revising and optimizing the algorithm. j,i [(x start ,y start ),(x end ,y end The correction is performed, and the corrected crack parameter characteristics {C} are obtained. m}, as shown in the following formula:

[0089]

[0090] Where m is the number of cracks after spatial parameter feature correction.

[0091] Specifically, the correction and optimization algorithm includes merging adjacent cracks at the beginning and end, and deleting short cracks.

[0092] For the crack list of the panoramic unfolded image {P j,i [(x start ,y start ),(x end ,y end The correction process involves merging adjacent cracks and deleting short cracks, resulting in the optimized crack parameter characteristics, which is essentially the crack pixel list obtained from the expanded finite element model mesh mapping. m The panoramic unfolded image shows a schematic diagram of the crack correction results. Figure 6 As shown;

[0093] S4. Obtain the spatial distribution coordinate parameter features of the cracks by dividing the modified crack spatial parameter features according to the tunnel outline boundary.

[0094] Specifically, step S4 specifically comprises:

[0095] S41, according to the modified optimized crack parameter characteristics, the actual distance corresponding to each pixel is calculated, and a crack coordinate list {C am} is obtained, as shown in the following formula:

[0096] a = d / d p

[0097]

[0098] Wherein a is a conversion factor, unit m / px; d is the length of the designed contour inner surface cross section, unit m; d p is the panorama development map width, unit px;

[0099] S42, according to the tunnel contour boundary, the crack coordinate list {C am} is divided, and the crack space distribution coordinate parameter characteristics are obtained; the crack space distribution coordinate parameter characteristics are the top crack coordinate list {C top} and the side wall crack coordinate list {C side}, as shown in the following formula:

[0100]

[0101] Specifically, the tunnel contour boundary in step S42 includes the top and the side wall.

[0102] S5, according to the crack space distribution coordinate parameter characteristics, the finite element model space grid mapping is carried out, and finally the extended finite element model including the tunnel lining crack space characteristic information is established.

[0103] Specifically, step S5 specifically comprises:

[0104] S51, set the crack depth;

[0105] The value and unit of the crack depth in the embodiment are not limited here, and any depth and any unit can be set according to the actual situation, and preferably, meter is used as the depth unit in the embodiment.

[0106] Specifically, taking Figure 7 as an example, in order to facilitate the display, Figure 7 only three crack depths are displayed, including: penetrating the protective layer, half wall thickness and all penetrating, wherein the penetrating protective layer < half wall thickness < all penetrating.

[0107] S52, mapping the crack spatial distribution coordinate parameter feature and the crack depth to a finite element model spatial grid by extending the finite element model command stream through ABAQUS, and finally establishing an extended finite element model including the tunnel lining crack spatial feature information. For ease of display, Figure 8 Taking the case where the crack penetrates completely.

[0108] The crack parameter feature extraction algorithm of the embodiment can process the crack identification result of the unfolding graph, realize automatic establishment of an extended finite element analysis model based on the actual position of the crack, predict the development of the crack, and judge the potential risk of each crack, thereby avoiding the problems of inaccurate crack position in the traditional method of establishing a crack model manually, and effectively improving the accuracy of crack analysis.

[0109] In addition, the embodiment can obtain the crack identification result of the unfolding graph according to the crack quantitative data of the analysis area of the tunnel damage part, perform a crack simplification algorithm, and perform grid mapping of the extended finite element model, so that the data of the tunnel lining damage disease can be quickly and accurately analyzed and processed, the detection efficiency is greatly improved, more timely and accurate data support is provided for further disease research and treatment, and the safety and stability of the tunnel construction are effectively ensured.

[0110] Embodiment Two

[0111] Reference Figure 9 The embodiment discloses a tunnel lining unfolding graph crack feature data parameterized modeling device, which comprises the following units:

[0112] The feature data processing unit is configured to execute an image segmentation algorithm on the panoramic unfolding graph crack skeleton binary image of the analysis area of the tunnel lining damage section, and obtain a segmented crack skeleton binary image.

[0113] The feature parameter extraction unit is configured to execute a crack feature parameter extraction algorithm on the segmented crack skeleton binary image, and obtain crack spatial parameter features.

[0114] The feature parameter correction unit is configured to correct the crack spatial parameter features to obtain corrected crack spatial parameter features.

[0115] The coordinate parameter extraction unit is configured to segment the corrected crack spatial parameter features according to the tunnel contour boundary, and obtain crack spatial distribution coordinate parameter features.

[0116] The coordinate parameter modeling unit is configured to perform finite element model spatial grid mapping according to the crack spatial distribution coordinate parameter features, and finally establish an extended finite element model including tunnel lining crack spatial feature information.

[0117] The tunnel lining unfolding map crack feature data parameterization modeling device provided by the embodiments of the present application can execute the tunnel lining unfolding map crack feature data parameterization modeling method provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method. It should be noted that in the embodiments of the tunnel lining unfolding map crack feature data parameterization modeling device described above, each unit and module included is only logically divided according to functions, but is not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of each functional unit are only for easy mutual differentiation, and do not serve to limit the protection scope of the present application.

[0118] Embodiment three

[0119] Reference Figure 10 , Figure 10 is a structural schematic diagram of the tunnel lining unfolding map crack feature data parameterization modeling device of the present embodiment. The tunnel lining unfolding map crack feature data parameterization modeling device 20 of the present embodiment includes a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. The processor 21 implements the steps in the above method embodiments when executing the computer program. Alternatively, the processor 21 implements the functions of each module / unit in the above device embodiments when executing the computer program.

[0120] For example, the computer program can be divided into one or more modules / units, which are stored in the memory 22 and executed by the processor 21 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the tunnel lining unfolding map crack feature data parameterization modeling device 20. For example, the computer program can be divided into the modules in Embodiment Two, and the specific functions of each module are described in the working process of the device in the above embodiments, which will not be described here.

[0121] The tunnel lining unfolding map crack feature data parameterization modeling device 20 can include, but is not limited to, the processor 21 and the memory 22. Those skilled in the art can understand that the schematic diagram is only an example of the tunnel lining unfolding map crack feature data parameterization modeling device 20, and does not constitute a limitation on the tunnel lining unfolding map crack feature data parameterization modeling device 20, which can include more or fewer components than the diagram, or combine certain components, or different components, for example, the tunnel lining unfolding map crack feature data parameterization modeling device 20 can also include an input / output device, a network access device, a bus, etc.

[0122] The processor 21 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The processor 21 is a control center of the tunnel lining unfolding map crack feature data parameterization modeling device 20, and is connected with various parts of the tunnel lining unfolding map crack feature data parameterization modeling device 20 through various interfaces and lines.

[0123] The memory 22 can be used to store computer programs and / or modules. The processor 21 realizes various functions of the tunnel lining unfolding map crack feature data parameterization modeling device 20 by running or executing computer programs and / or modules stored in the memory 22, and calling data stored in the memory 22. The memory 22 can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application program required for a function (such as a sound playing function, an image playing function, etc.), etc. The data storage area can store data created according to use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 22 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0124] The modules / units integrated in the tunnel lining unfolding figure crack feature data parameterization modeling device 20 can be stored in a computer readable storage medium if they are realized in the form of software function units and sold or used as independent products. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. that can carry the computer program code. It should be noted that the contents included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0125] It should be noted that the above-described device embodiments are only schematic, and the units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. In addition, the connection relationship between the modules in the device embodiment provided by the present application indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0126] The parts of the present application not described in detail are prior art, and it is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be realized in other specific forms without departing from the spirit or essential characteristics of the present application; therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and are intended to include all changes within the meaning and scope of the equivalent elements.

Claims

1. A method for parameterized modeling based on tunnel lining unfolding map crack feature data, characterized in that, The method comprises the following steps: S1, segmenting a binary image of a crack skeleton of a panoramic development drawing of a tunnel lining crack section analysis area to obtain a segmented binary image of the crack skeleton; S2, extracting crack feature parameters from the segmented binary image of the crack skeleton to obtain crack spatial parameter features; The crack feature parameter extraction specifically comprises the following steps: S21, use P j,i [(x0,y0),(x1,y1),……,(x k ,y k )] represents the binary image of the skeleton of the panoramic unfolding figure after segmentation P j,i The crack pixel coordinates of each sub-block, identify the smallest rectangle including the crack region P j,i [(x min ,y min ),(x max ,y max )] Wherein, k is the number of crack pixel points of the panoramic unwrapping image skeleton binary image P j,i after segmentation S22, determining the crack direction as a diagonal P of a rectangle according to the following formula j,i [(x start ,y start ),(x end ,y end )] instead of the region crack; S23, merge images, acquire panoramic unfolding picture crack list{P j,i [(x start ,y start ),(x end ,y end )]}; S3, correcting the crack spatial parameter features to obtain corrected crack spatial parameter features; S4, segmenting the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; S5, performing finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to finally establish an extended finite element model comprising tunnel lining crack spatial feature information.

2. The method of claim 1, wherein, The segmentation in step S1 specifically comprises the following steps: S11, binarizing the crack skeleton image P' of the panoramic development map of the analysis area of the tunnel lining crack section j,i The image P is divided into blocks to obtain a divided image P j,i where i+1 is the row number of the image in the panoramic development map, and j+1 is the column number of the image in the panoramic development map. S12, binarizing the image P after the splitting j,i re-numbering, obtaining a binarized image of the skeleton of the split panorama, as follows: wherein n is a binaryzation image of the tunnel panoramic unfolding figure crack skeleton when divided into blocks j,i The equal number of each dimension.

3. The method of claim 1, wherein, Step S3 is specifically: The crack list {P} in the panoramic unfolding image was improved by revising and optimizing the algorithm. j,i [(x start ,y start ),(x end ,y end The correction is performed, and the corrected crack parameter characteristics {C} are obtained. m }, as shown in the following formula: Wherein, m is the number of cracks after spatial parameter feature correction.

4. The method of claim 3, wherein, The correction and optimization algorithm comprises merging adjacent cracks at the beginning and the end, and deleting short cracks.

5. The method of claim 3, wherein, Step S4 specifically comprises: S41、According to the modified and optimized crack parameter characteristics, the actual distance corresponding to each pixel is calculated to obtain a crack coordinate list {C am} as shown in the following formula: a = d / d p wherein a is a conversion factor with units of m / px; d is the cross-sectional length through the inner surface of the design profile with units of m; d p is the panoramic spread width with units of px; S42, according to the tunnel contour boundary, the crack coordinate list {C am} is segmented, and a crack spatial distribution coordinate parameter feature is obtained; the crack spatial distribution coordinate parameter feature is a top crack coordinate list {C top} and a side wall crack coordinate list {C side}, as follows:

6. The method of claim 5, wherein, The tunnel contour boundary in step S42 comprises a top portion and side walls.

7. The method of claim 5, wherein, Step S5 specifically comprises: S51, setting a crack depth; S52, performing finite element model space grid mapping on the crack spatial distribution coordinate parameter features and the crack depth through an abaqus extended finite element model command stream to finally establish an extended finite element model comprising tunnel lining crack spatial feature information.

8. The method of claim 7, wherein, The crack depth is pre-set to three levels: penetrating the protective layer, half the wall thickness, and completely penetrating, wherein, penetrating the protective layer < half the wall thickness < completely penetrating.

9. Apparatus for parameterized modeling based on tunnel lining development map crack feature data, characterized by, The method comprises the following units: A feature data processing unit is configured to segment a binary image of a crack skeleton of a panoramic development drawing of a tunnel lining crack section analysis area to obtain a segmented binary image of the crack skeleton; A feature parameter extraction unit is configured to extract crack feature parameters from the segmented binary image of the crack skeleton to obtain crack spatial parameter features; The crack feature parameter extraction specifically comprises the following steps: S21, use P j,i [(x0,y0),(x1,y1),……,(x k ,y k )] represents the segmented panoramic unfolding figure crack skeleton binary image P j,i Crack pixel coordinates of each sub-block, identify the smallest rectangle including the crack region P j,i [(x min ,y min ),(x max ,y max )] wherein, Wherein, k is the number of crack pixel points of the binarization image P of the panoramic unfolding graph after segmentation j,i of the panoramic unfolding graph after segmentation S22, determining the crack direction as a diagonal P of a rectangle according to the following formula j,i [(x start ,y start ),(x end ,y end )] instead of the region crack; S23, merge images, acquire panoramic unfolding picture crack list{P j,i [(x start ,y start ),(x end ,y end )]}; A feature parameter correction unit is configured to correct the crack spatial parameter features to obtain corrected crack spatial parameter features; A coordinate parameter extraction unit is configured to segment the corrected crack spatial parameter features according to a tunnel contour boundary to obtain crack spatial distribution coordinate parameter features; A coordinate parameter modeling unit is configured to perform finite element model space grid mapping according to the crack spatial distribution coordinate parameter features to finally establish an extended finite element model comprising tunnel lining crack spatial feature information.

Images