CN109003332B - Asphalt pavement surface texture simulation system and simulation method thereof - Google Patents
Asphalt pavement surface texture simulation system and simulation method thereof Download PDFInfo
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- 239000010426 asphalt Substances 0.000 title claims abstract description 47
- 238000004088 simulation Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000003993 interaction Effects 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 32
- 239000011159 matrix material Substances 0.000 claims description 18
- 238000001914 filtration Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000005286 illumination Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000005299 abrasion Methods 0.000 description 2
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- 238000010586 diagram Methods 0.000 description 2
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- 230000005540 biological transmission Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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- 238000007789 sealing Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
Abstract
The invention discloses an asphalt pavement surface texture simulation system and a simulation method thereof, which are provided with a positioning frame for determining an image acquisition range, an image acquisition device for acquiring image information within the range of the positioning frame, and a man-machine interaction terminal for performing texture simulation, wherein the image acquisition device is provided with a camera and a tripod, the camera is arranged above the positioning frame through the tripod, the lens of the camera is opposite to the positioning frame, and the signal output end of the camera is connected with the signal input end of the man-machine interaction terminal. Acquiring three-dimensional micro-texture data of the asphalt pavement through image processing software, then establishing a data interface in finite element analysis software, importing the three-dimensional micro-texture data of the pavement, and establishing a finite element model of the pavement. By adopting the asphalt pavement surface texture simulation system and the simulation method thereof, the asphalt pavement three-dimensional micro texture data can be rapidly acquired, the pavement finite element model conforming to the real road surface texture structure is established, the operation is convenient, and the external interference is not easy to cause.
Description
Technical Field
The invention relates to the field of equipment for measuring roughness and irregularity of a surface by taking an optical method as a characteristic, in particular to a simulation system and a simulation method for asphalt pavement surface texture.
Background
With the development of highway construction and management in China, road users have made demands on economic, safe, comfortable and environment-friendly functions of the road surface. Foreign research data show that the surface texture of the road surface can influence the properties of various aspects such as the wear resistance of the road surface, the friction between a tire and the road surface, the noise of vehicles, the noise of external road surfaces, the safety and comfort of driving, the abrasion of the tire and the like. The asphalt pavement is a tire/pavement friction surface, and domestic scholars Mao Qian, li Zhu and the like also research and discover that the influence of the micro-morphology on the abrasion, lubrication state, friction, vibration, noise, fatigue, sealing, matching property, coating quality, corrosion resistance, electric conductivity, heat conductivity and reflection performance of the friction surface is more obvious.
Therefore, the texture state of the surface of the asphalt pavement has a remarkable influence on the performance of the pavement. Meanwhile, with the rapid development of computer technology and simulation technology, the establishment of a model on a computer platform instead of real measurement has also been proved to be an effective technical means in a large number. The accuracy of the simulation calculation result has a great relationship with the difference degree between the established model and the real state. In the prior art, the road surface texture is usually simplified during direct modeling by utilizing the road surface texture for numerical simulation calculation due to the complexity of the three-dimensional micro-topography, so that the constructed road surface texture model has a larger difference with a real road surface structure.
Disclosure of Invention
In order to solve the technical problems, the invention provides a simulation system and a simulation method for the surface texture of an asphalt pavement. The method comprises the steps of rapidly acquiring three-dimensional micro-texture data of the asphalt pavement through image processing software, then establishing a data interface in finite element analysis software, importing the three-dimensional micro-texture data of the pavement, and establishing a pavement finite element model which accords with the texture structure of a real road surface.
The technical scheme is as follows:
the utility model provides an asphalt pavement surface texture simulation system which the key lies in: the human-computer interaction terminal comprises an image acquisition module, an image processing module and a three-dimensional image reconstruction module.
The image acquisition module acquires graphic information a through an image acquisition device and sends the graphic information a to the image processing module, the image processing module performs image processing on the graphic information a to generate three-dimensional curved surface digital image information b and sends the three-dimensional curved surface digital image information b to the three-dimensional image reconstruction module, and the three-dimensional image reconstruction module generates a finite element simulation model of the asphalt road surface texture according to the three-dimensional curved surface digital image information b.
The image acquisition module can acquire image information of the asphalt pavement, the image processing module processes the image information to generate three-dimensional curved surface digital image information, and the three-dimensional image reconstruction module can simulate the texture of the asphalt pavement according to the image information to construct a pavement finite element model.
The positioning frame can fix the size of the image, so that the size of the image on the road surface collected by the camera is the same, and the human-computer interaction terminal can simulate a plurality of pictures conveniently.
Further, the image acquisition device is provided with a camera and a tripod, the camera is arranged above the positioning frame through the tripod, and the lens of the camera is opposite to the positioning frame. The distance between the camera and the ground can be adjusted by adjusting the tripod, so that the definition, the size and the angle of a shot image are controlled, the truest image of the asphalt pavement is obtained, and the simulation result is more accurate.
Furthermore, a light shield is further arranged, the image acquisition device is arranged in the light shield, and a light source with adjustable illuminance and an illuminance detection device are further arranged in the light shield. The light shield can isolate environment illumination, and the illuminance in the light shield can be adjusted to the appropriate illuminance through the illuminance adjustable light source and the illuminance detection device, so that the acquired image information is clearer, and the simulation result is more accurate.
Furthermore, the illumination intensity of the illumination intensity adjustable light source is 500Lux. The illumination setting is best at 500Lux.
Further, an external shutter is attached to the camera. Through external shutter, operating personnel just can control the camera and shoot outside the lens hood, convenient operation.
The method for simulating the surface texture of the asphalt pavement is characterized by comprising the following steps of:
the method comprises the following steps of 1, constructing an asphalt pavement surface texture simulation system, wherein the step comprises the steps of constructing a shooting device and constructing three functional modules of a man-machine interaction terminal;
step 4, converting the three-dimensional curved surface digital image information b into an interface file c which can be identified by abaqus software through an interface program by a three-dimensional image reconstruction module, wherein the interface file c comprises road surface three-dimensional model grid node coordinate data c2 and road surface model grid unit coordinate data c3;
and 5, importing the interface file c into abaqus software by the three-dimensional image reconstruction module to generate a finite element simulation model of the asphalt road surface texture.
By adopting the method, the three-dimensional micro-texture data of the asphalt pavement is quickly acquired through the image processing software, then a data interface is established in the finite element analysis software, the three-dimensional micro-texture data of the pavement is imported, and a pavement finite element model which accords with the texture structure of the real road surface is established.
Further, the image processing module in step 3 performs image processing by using the following steps:
s3-1, reading image information a;
s3-2, performing gray processing on the image information a to generate a gray image a1;
s3-3, carrying out scaling processing on the gray image a1 to generate a scaled image a2;
s3-4, calculating the gray value of each pixel point in the zoomed image, and generating gray value data a3;
s3-5, sampling the gray value data a3 to generate a gray value matrix a4;
s3-6, performing numerical value conversion on the gray value matrix a4;
s3-7, filtering the gray value matrix a4 by a sampling median filtering method;
and S3-8, generating three-dimensional curved digital image information b according to the filtered gray value matrix a 4.
Furthermore, the three-dimensional image reconstruction module in step 4 converts the three-dimensional curved surface digital image information b into an interface file c by adopting the following steps:
s4-1, reading three-dimensional curved surface digital image information b;
s4-2, defining horizontal and vertical coordinates of each gray value in the three-dimensional curved surface digital image information b, and generating space point coordinate data c1;
s4-3, generating three-dimensional road model grid node coordinate data c2 according to the spatial coordinate point data c1;
s4-4, setting unit types;
and S4-5, generating unit coordinate data c3 of the road surface model grid according to the unit types and the space point coordinate data.
Has the advantages that: by adopting the asphalt pavement surface texture simulation system and the simulation method thereof, the asphalt pavement three-dimensional micro texture data can be rapidly acquired, the pavement finite element model conforming to the real road surface texture structure is established, the operation is convenient, and the external interference is not easy to cause.
Drawings
FIG. 1 is a schematic structural diagram of an image capturing device according to the present invention;
FIG. 2 is a flow chart of a simulation method of the present invention;
FIG. 3 is a flow chart of image processing according to the present invention;
FIG. 4 is a flow chart of generating an interface file in the present invention;
FIG. 5 is an image information a of a road surface to be measured;
FIG. 6 is a diagram of a finite element simulation model of a partial road texture.
Detailed Description
The invention is further illustrated by the following examples and figures.
As shown in fig. 1, an asphalt pavement surface texture simulation system is provided with a positioning frame 1, and the positioning frame 1 is placed on an asphalt pavement to be subjected to simulation. A camera 2 is provided directly above the positioning frame 1, the camera 2 is fixed by an adjustable tripod 3, and the tripod 3 is adjusted so that the lens of the camera 2 faces the center position of the positioning frame 1 and is maintained at a predetermined height.
The tripod 3 is covered with a light shield 4, an illuminance adjustable light source 5 and an illuminance detection device 6 are arranged in the light shield 4, the illuminance adjustable light source 5 is arranged on one side of the tripod 3 through a support frame 7, and the illuminance detection device 6 is placed on the asphalt pavement and close to the positioning frame 1. An operator can collect the illuminance value in the lens hood 4 through the illuminance detection device 6, and adjust the illuminance adjustable light source 5 according to the illuminance value, so that the illuminance of the illuminance adjustable light source 5 is kept at 500lux.
The camera 2 is connected with an external shutter, a control end of the external shutter extends out of the light shield 4, an image output end of the camera 2 is connected with a human-computer interaction terminal through a data transmission line, and the human-computer interaction terminal is a computer.
After the height, the shooting angle and the illuminance intensity in the light shield 4 of the camera 2 are adjusted by the operator, the camera 2 is controlled by an external shutter to shoot the asphalt ground, image information a shown in fig. 5 is obtained, and the shot image is sent to the man-machine interaction terminal. And the man-machine interaction terminal processes the photographed image by adopting an asphalt pavement surface texture simulation method to generate a finite element simulation model of the asphalt pavement surface texture.
As shown in fig. 2-4, a method for simulating the surface texture of an asphalt pavement comprises the following steps:
step 1, building an asphalt pavement surface texture simulation system, building an image acquisition device, a positioning frame, an illuminance adjustable light source 5, a light shield 4 and an illuminance detection device 6 by an operator, and correcting light intensity, shooting height and shooting angle. Three functional modules of the human-computer interaction terminal are constructed through matlab software;
and 3, carrying out image processing on the image information a by the image processing module by adopting an image tool box in matlab software to obtain three-dimensional curved surface digital image information b of the surface of the asphalt road. The method comprises the following steps:
s3-1, reading image information a;
s3-2, performing graying processing on the image information a by adopting an rgb2gray function to generate a grayscale image a1;
s3-3, carrying out scaling processing on the gray image a1 by adopting an ims function to generate a scaled image a2;
s3-4, calculating the gray value of each pixel point in the zoomed image, and generating gray value data a3;
s3-5, sampling the gray value data a3 by adopting a messhgrid function to generate a gray value matrix a4;
s3-6, because the read image data is in the format of agent 8, the gray value matrix a4 needs to be subjected to numerical value conversion, and is converted into a double format adopted by matlab;
s3-7, filtering and denoising the gray value matrix a4 by a sampling median filtering method;
and S3-8, generating three-dimensional curved digital image information b according to the filtered gray value matrix a 4.
And 4, converting the three-dimensional curved surface digital image information b into an interface file c which can be identified by abaqus software through an interface program by the three-dimensional image reconstruction module, wherein the interface file c comprises road surface three-dimensional model mesh node coordinate data c2 and road surface model mesh unit coordinate data c3. The method comprises the following steps:
s4-1, reading three-dimensional curved surface digital image information b;
s4-2, defining the horizontal and vertical coordinates of each gray value in the three-dimensional curved surface digital image information b, and generating space point coordinate data c1;
s4-3, generating three-dimensional road model grid node coordinate data c2 according to the spatial coordinate point data c1;
s4-4, setting the unit type as c3d8r;
and S4-5, generating unit coordinate data c3 of the pavement model grids according to the unit types and the space point coordinate data.
And 5, importing the interface file c into abaqus software by the three-dimensional image reconstruction module to generate the finite element simulation model of the asphalt road surface texture shown in the figure 6.
Finally, it should be noted that the above-mentioned description is only a preferred embodiment of the present invention, and those skilled in the art can make various similar representations without departing from the spirit and scope of the present invention.
Claims (7)
1. The utility model provides an asphalt pavement surface texture simulation system which characterized in that: the system is provided with a positioning frame (1) for determining an image acquisition range, an image acquisition device for acquiring image information a within the range of the positioning frame (1), and a human-computer interaction terminal for texture simulation, wherein the human-computer interaction terminal comprises an image acquisition module, an image processing module and a three-dimensional image reconstruction module;
the image acquisition module acquires image information a through an image acquisition device and sends the image information a to the image processing module, the image processing module performs image processing on the image information a to generate three-dimensional curved surface digital image information b and sends the three-dimensional curved surface digital image information b to the three-dimensional image reconstruction module, and the three-dimensional image reconstruction module generates a finite element simulation model of the asphalt road surface texture according to the three-dimensional curved surface digital image information b;
the image processing module performs image processing by adopting the following steps:
s3-1, reading image information a;
s3-2, performing graying processing on the image information a by adopting an rgb2gray function to generate a grayscale image a1;
s3-3, carrying out scaling processing on the gray image a1 by adopting an minimization function to generate a scaled image a2;
s3-4, calculating the gray value of each pixel point in the zoomed image, and generating gray value data a3;
s3-5, sampling the gray value data a3 by adopting a mesgrid function to generate a gray value matrix a4;
s3-6, performing numerical value conversion on the gray value matrix a4, and converting the gray value matrix a into a double format adopted by matlab;
s3-7, filtering and denoising the gray value matrix a4 by a sampling median filtering method;
and S3-8, generating three-dimensional curved digital image information b according to the filtered gray value matrix a 4.
2. The asphalt pavement surface texture simulation system according to claim 1, characterized in that: the image acquisition device is provided with a camera (2) and a tripod (3), the camera (2) is arranged above the positioning frame (1) through the tripod (3), and a lens of the camera (2) is opposite to the positioning frame (1).
3. The asphalt pavement surface texture simulation system according to claim 2, characterized in that: the camera (2) is connected with an external shutter.
4. The asphalt pavement surface texture simulation system according to claim 1, characterized in that: the device is characterized by further comprising a light shield (4), the image acquisition device is arranged in the light shield (4), and an illuminance adjustable light source (5) and an illuminance detection device (6) are further arranged in the light shield (4).
5. The asphalt pavement surface texture simulation system according to claim 4, wherein: the illumination intensity of the illumination intensity adjustable light source (5) is 500Lux.
6. A method for simulating the surface texture of an asphalt pavement is characterized by comprising the following steps:
step 1, constructing an asphalt pavement surface texture simulation system;
step 2, the image acquisition module acquires image information a of the surface of the asphalt road through the camera (2) and sends the image information a to the image processing module;
step 3, the image processing module carries out image processing on the image information a to generate three-dimensional curved surface digital image information b of the asphalt road surface and sends the three-dimensional curved surface digital image information b to the three-dimensional image reconstruction module; the image processing module performs image processing by adopting the following steps:
s3-1, reading image information a;
s3-2, performing graying processing on the image information a by adopting an rgb2gray function to generate a grayscale image a1;
s3-3, carrying out scaling processing on the gray image a1 by adopting an minimization function to generate a scaled image a2;
s3-4, calculating the gray value of each pixel point in the zoomed image, and generating gray value data a3;
s3-5, sampling the gray value data a3 by adopting a messhgrid function to generate a gray value matrix a4;
s3-6, performing numerical value conversion on the gray value matrix a4, and converting the gray value matrix a into a double format adopted by matlab;
s3-7, filtering and denoising the gray value matrix a4 by a sampling median filtering method;
s3-8, generating three-dimensional curved surface digital image information b according to the filtered gray value matrix a4;
step 4, converting the three-dimensional curved surface digital image information b into an interface file c which can be identified by abaqus software through an interface program by a three-dimensional image reconstruction module, wherein the interface file c comprises road surface three-dimensional model mesh node coordinate data c2 and road surface model mesh unit coordinate data c3;
and 5, importing the interface file c into abaqus software by the three-dimensional image reconstruction module to generate a finite element simulation model of the asphalt road surface texture.
7. The method for simulating the surface texture of the asphalt pavement according to claim 6, wherein: in the step 4, the three-dimensional image reconstruction module converts the three-dimensional curved surface digital image information b into an interface file c by adopting the following steps:
s4-1, reading three-dimensional curved surface digital image information b;
s4-2, defining the horizontal and vertical coordinates of each gray value in the three-dimensional curved surface digital image information b, and generating space point coordinate data c1;
s4-3, generating three-dimensional road model grid node coordinate data c2 according to the spatial coordinate point data c1;
s4-4, setting unit types;
and S4-5, generating unit coordinate data c3 of the pavement model grids according to the unit types and the space point coordinate data.
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