Rapid modeling method, device and equipment for digital pavement of test site and medium

Abstract

The invention provides a rapid modeling method and device for a digital road surface of a test site, electronic equipment and a computer readable storage medium, and aims at rapid modeling of the digital road surface of the test site and geometric parameters of the road surface of the test site to realize editing, conversion and output of road surface test data and generate required road surface RDF and CRG models. The method is applied to excitation input of various systems related to vehicle digital simulation and road simulation tests, meets the requirements of vehicle dynamics simulation, and realizes graphic display, editing and optimization of a special vehicle chassis environment input road surface to meet various requirements of chassis driving road surfaces and environments.

Description

Technical Field

[0001] The present invention relates to the technical field of special vehicle engineering simulation, and in particular to a method, device, electronic equipment and computer-readable storage medium for rapid modeling of a digital road surface in a testing ground. Background Art

[0002] The vehicle mechanical system transmits the road surface roughness to the driver and passengers, causing vibration acceleration for the passengers, which can cause the passengers to feel bumpy and uncomfortable in severe cases. The vibration caused by the road surface roughness on the car can cause the frame or transmission system to twist and deform, shortening the service life of the car parts. Since the road surface roughness has a great impact on the driving process of the car, the premise of conducting vehicle performance simulation analysis is to establish a road surface model that accurately reflects the actual road conditions.

[0003] As the main source of external excitation during the simulated vehicle driving process, the road model is the most critical part of the digital simulation system. Its accuracy directly affects the effectiveness of the vehicle dynamics analysis results. The vehicle road environment is the basic input source for vehicle driving and determines the vehicle's ride comfort, fatigue life, durability reliability, and handling stability.

[0004] According to the different types of original data, the pavement model reconstruction methods can generally be divided into three categories: pavement roughness (graded pavement), 3D scanning point cloud data, and special geometry pavement. Although the reconstruction method based on pavement roughness can be well applied in smoothness analysis, it has certain limitations when extended to other fields such as fatigue durability analysis. The method of constructing a pavement model based on 3D scanning point cloud can fully retain the detailed characteristics of the pavement and has better adaptability. It can be applied to most pavements required for vehicle dynamics analysis. Special geometry pavements mainly include typical pavements in test sites, such as twisted roads, washboard roads, Belgian roads, long (short) wave roads, etc., which can be applied to vehicle dynamics model verification and reliability evaluation, fatigue durability analysis.

[0005] The common input formats for the model of three-dimensional surface of road roughness are RDF (Road Data File, RDF) and CRG (Curved Regular Grid, CRG). The RDF format is a 3D equivalent volume road surface. The model is a three-dimensional space road surface composed of a series of spatial triangular planes. The triangular plane is composed of 3 nodes, and the actual position of each node is determined by its corresponding X, Y, and Z coordinate values. The CRG format road surface is a surface regular grid road surface file with a road surface centerline. The road surface is defined by specifying a path centerline and the elevation of each regular grid node. The spacing of each node in the longitudinal and transverse directions of the road surface can be flexibly specified, so that various surface road surface contour features can be effectively defined.

[0006] Both RDF and CRG formats can be used as pavement excitation information to effectively perform dynamic simulation analysis. However, under the same pavement, the file size of RDF format is much larger than that of CRG format, which occupies a large storage space and affects the simulation efficiency. The virtual pavement in RDF and CRG formats is loaded into the dynamics software, and the loading time and computer memory usage are compared. The CRG format pavement has a higher calculation efficiency and is suitable for virtual modeling of complex reinforced pavements and dynamic analysis of dynamic load prediction based on virtual pavements. Summary of the invention

[0007] The present invention aims to provide a method, device, electronic device and computer-readable storage medium for rapid modeling of digital road surface in a test field, which overcome the above problems or at least partially solve the above problems.

[0008] To achieve the above object, the technical solution of the present invention is specifically implemented as follows:

[0009] One aspect of the present invention provides a method for rapid modeling of a digital road surface in a test field, comprising:

[0010] Conduct test field geometric road surface modeling;

[0011] Performing model conversion on the model obtained by modeling the geometric road surface of the test site;

[0012] Conduct visual editing of the digital road surface model of the test site;

[0013] Generate, display, restore and verify the RDF pavement model, and generate, display, restore and verify the CRG pavement model.

[0014] Optionally, the performing of test field geometric road surface modeling includes:

[0015] Utilize the test field pavement parameter data to perform surface modeling and generate a prt file; or convert and output it into an STP or IGES model; wherein the test field geometric pavement includes but is not limited to a bump road, a pulse input road, a stationary slope, a trench, an obstacle, and a washboard road.

[0016] Optionally, the converting the model obtained by modeling the test field geometric road surface comprises:

[0017] The model conversion output obtained by modeling the geometric road surface of the test site is a Tiff model.

[0018] Optionally, the visual editing of the digital road surface model of the test site includes:

[0019] The digital road surface model of the test site is cropped and rotated by using operations including but not limited to mouse clicks, interface zooming and translation, and the editing mode is enabled to extract the road surface area of ​​interest; wherein the digital road surface model of the test site includes but is not limited to prt files, STP models, IGES models and Tiff models.

[0020] Optionally, the generation, display, restoration and verification of the RDF pavement model includes:

[0021] Import the road surface model, extract the road surface boundary, enable intelligent mesh division within the boundary, and generate nodes;

[0022] Automatically dividing the grid on the nodes;

[0023] Enable editing to view the information of the node and the grid and make modifications;

[0024] Verify by viewing the generated road surface information through the spectrum characteristic response;

[0025] or

[0026] Importing road surface data, extracting road surface boundaries, enabling intelligent grid division within the boundaries, generating nodes, breaking up the nodes and performing node encryption;

[0027] Automatically divide the grid on the encrypted nodes;

[0028] Enable editing to view the information of the encrypted node and the grid and make modifications;

[0029] The generated road surface information is verified by viewing the spectral characteristic response.

[0030] Optionally, the CRG pavement model generation, display restoration and verification includes:

[0031] Import the road surface model and extract the road surface boundary;

[0032] Set the center line and interpolate the transverse elevation data of the road surface; for regular geometric roads, the CRG road surface model range and the center line are automatically identified by the boundary to set the center line; or obtain any road surface to manually draw the center line, and determine the CRG model range according to the manual input of the grid size window;

[0033] Start the editing mode to search and modify the center line and the grid;

[0034] Output the data of the CRG pavement model and save it to a file, and output the center line;

[0035] Editing the CRG pavement model by re-reading the CRG pavement file;

[0036] Perform statistical feature comparison on the CRG pavement model file to verify whether the CRG pavement model achieves the expected purpose.

[0037] Optionally, the method further includes: model unit conversion.

[0038] Another aspect of the present invention provides a device for rapid proving ground digital road surface modeling, comprising:

[0039] Modeling module, used for testing field geometric road surface modeling;

[0040] A conversion module, used for performing model conversion on the model obtained by modeling the geometric road surface of the test site;

[0041] An editing module, used for visual editing of the digital road surface model of the test site;

[0042] The generation module is used to generate, display, restore and verify the RDF pavement model, and to generate, display, restore and verify the CRG pavement model.

[0043] Another aspect of the present invention provides an electronic device, characterized in that it includes: a processor, a memory;

[0044] The memory is used to store computer programs;

[0045] The processor is used to execute the above-mentioned method for rapid modeling of digital road surface in a testing ground by calling the computer program.

[0046] Another aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the above-mentioned method for rapid modeling of a digital road surface of a test site.

[0047] It can be seen that through the method, device, electronic device and computer-readable storage medium for rapid modeling of digital road surfaces in the test field provided by the present invention, the rapid modeling of digital road surfaces in the test field is taken as the goal, and the geometric parameters of the road surface in the test field are taken as input to realize the editing, conversion and output of road surface test data, generate the required road surface RDF and CRG models, and apply them to the excitation input of various systems related to vehicle digital simulation and road simulation tests to meet the needs of vehicle dynamics simulation, and realize the graphic display, editing and optimization of the input road surface of the chassis environment of special vehicles to meet various needs of the chassis driving road surface and environment.

[0048] The present invention can establish a fast and easy-to-use road three-dimensional digital model editing engineering application software system, improve the basic capability system of vehicle dynamics analysis, fully realize simulation digitization and virtual test capabilities, and provide real and reliable environmental boundary conditions for vehicle dynamics simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0050] Figure 1 A flowchart of a method for rapid modeling of a digital road surface in a test field provided by an embodiment of the present invention;

[0051] Figure 2 A functional flow chart of a method for rapid modeling of a digital road surface in a testing field provided by an embodiment of the present invention;

[0052] Figure 3 A technical roadmap for model three-dimensional point conversion provided by an embodiment of the present invention;

[0053] Figure 4 A flow chart of RDF model generation provided by an embodiment of the present invention;

[0054] Figure 5 A flow chart of CRG model generation provided in an embodiment of the present invention;

[0055] Figure 6 A software system operation flow planning diagram provided for an embodiment of the present invention;

[0056] Figure 7 A Delaunay triangulation mesh partitioning block diagram provided by an embodiment of the present invention;

[0057] Figure 8 A Gaussian filtering method and its extended schematic diagram provided in an embodiment of the present invention;

[0058] Fig. 9 A schematic diagram of a point cloud median filtering method provided by an embodiment of the present invention;

[0059] Fig.10 A schematic diagram of the centerline and grid representation of a CRG road surface provided in an embodiment of the present invention;

[0060] Fig.11 A schematic diagram of the structure of a device for rapid modeling of a digital road surface in a testing field provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0062] Figure 1 The flowchart of the method for rapid modeling of digital road surface in a testing field provided by an embodiment of the present invention is shown. Figure 2 The functional flow chart of the method for rapid modeling of digital road surface in a test field provided by an embodiment of the present invention is shown in FIG. Figure 1 and Figure 2 The method for rapid modeling of a digital road surface in a test field provided by an embodiment of the present invention includes:

[0063] S1, perform test site geometric road surface modeling.

[0064] S2, converting the model obtained by modeling the test site geometric road surface;

[0065] S3, visual editing of the digital road surface model of the test site;

[0066] S4, generate, display, restore and verify the RDF pavement model, and generate, display, restore and verify the CRG pavement model.

[0067] Specifically, various road surfaces of the present invention are ultimately generated based on three-dimensional point elevation data. Figure 3 shown.

[0068] Among them, the present invention has the following functions:

[0069] a) Model conversion function:

[0070] Prt converts STP, IGES;

[0071] Prt, STP, IGES to Tiff;

[0072] Model unit conversion;

[0073] RDF and CRG conversion.

[0074] b) System input function:

[0075] Import geometric road surface models (IGES, Tiff);

[0076] Import RDF and CRG model files.

[0077] Road surface editing function:

[0078] Road test data editing and optimization;

[0079] c) Road surface node editing;

[0080] Intelligent meshing: automatic and parameterized mesh size definition;

[0081] Display, edit, modify and output RDF pavement models;

[0082] CRG pavement model display, editing, correction and output;

[0083] Statistics of road surface spectrum characteristics.

[0084] d) System output function:

[0085] Automatically generate output in pavement file formats (RDF, CRG);

[0086] Pavement characteristics data report.

[0087] It can be seen that the present invention can be used as a digital model generation and editing software for a test field pavement, including the generation and editing of the test field geometric pavement, output of RDF and CRG pavement models, and support for the import, export, modification and optimization of pavement models.

[0088] As an optional implementation of an embodiment of the present invention, modeling the geometric road surface of the test site includes: using the test site road surface parameter data to perform surface modeling and generate a prt file; or converting and outputting it into an STP or IGES model; wherein the geometric road surface of the test site includes but is not limited to a bump road, a pulse input road, a slope, a trench, an obstacle, and a washboard road.

[0089] Specifically, this step is to model the test field geometry road surface. Use UG and other modeling software to model the surface of known road surface parameters, generate a prt file, or convert and output to STP, IGES model. Typical test field road surfaces include bump roads, pulse input roads (triangular bumps), stationary slopes (60%), trenches (0.75m), obstacles (0.7m high), washboard roads, etc.

[0090] As an optional implementation manner of the embodiment of the present invention, the model conversion of the model obtained by modeling the geometric road surface of the test field includes: converting and outputting the model obtained by modeling the geometric road surface of the test field into a Tiff model.

[0091] Specifically, this step performs model conversion, uses VB_LAB to import STP and IGES models, displays and checks the model size, and converts and outputs them into Tiff models.

[0092] As an optional implementation of an embodiment of the present invention, visual editing of the digital road surface model of the test site includes: using operations including but not limited to mouse clicks, interface zooming and translation, enabling the editing mode to perform road surface cropping and road surface rotation on the digital road surface model of the test site, and extracting road surface areas of interest; wherein the digital road surface model of the test site includes but is not limited to prt files, STP models, IGES models and Tiff models.

[0093] Specifically, this step is the visual editing of the road model. Visual interaction includes mouse clicks, interface zooming and translation operations. The editing mode can be enabled to crop and rotate the input road model to extract the road area of ​​interest.

[0094] As an optional implementation of an embodiment of the present invention, the generation, display, restoration and verification of the RDF pavement model include: importing the pavement model, extracting the pavement boundary, enabling intelligent grid division within the boundary, and generating nodes; automatically dividing the grid on the node; enabling editing to view the information of the node and the grid and make modifications; verifying the generated pavement information through the spectrum characteristic response; or importing pavement data, extracting the pavement boundary, enabling intelligent grid division within the boundary, generating nodes, breaking up the nodes and encrypting the nodes; automatically dividing the grid on the encrypted node; enabling editing to view the information of the encrypted node and the grid and make modifications; verifying the generated pavement information through the spectrum characteristic response.

[0095] Specifically, the RDF model is generated as follows Figure 4 shown.

[0096] In specific implementation, this step includes RDF pavement model generation, display, restoration and verification. RDF pavement consists of nodes and grids. Import pavement data, extract pavement boundaries, enable intelligent grid division within the boundaries, generate nodes, and break up the overall nodes for local encryption; automatic grid division can be completed on the nodes. Editing can be enabled to view node and grid information and modify them. View the generated pavement information through spectral characteristic response for verification.

[0097] As an optional implementation of an embodiment of the present invention, the generation, display, restoration and verification of the CRG pavement model includes: importing the pavement model and extracting the pavement boundary; setting the center line and interpolating the pavement lateral elevation data; wherein, for regular geometric pavements, the CRG pavement model range and the center line are set by automatically identifying the boundary; or obtaining the manually drawn center line of any pavement, and manually inputting the CRG model range according to the grid size window; starting the editing mode to search and modify the center line and grid; outputting the data of the CRG pavement model and saving it to a file, and outputting the center line; editing the CRG pavement model by re-reading the CRG pavement file; and comparing the statistical features of the CRG pavement model file to verify whether the CRG pavement model achieves the expected purpose.

[0098] Specifically, the CRG model is generated as follows: Figure 5 shown.

[0099] In specific implementation, this step includes CRG pavement model generation, display, restoration and verification. CRG pavement generation requires setting the center track and interpolating the pavement lateral elevation data. For regular geometry pavements, the CRG model range and center line can be set by automatically identifying the boundary and setting the center line. It also supports manual drawing of the center line in any pavement, and manually inputs the grid size window to determine the CRG model range. The editing mode can be started to search and modify the center line and grid. The data of the CRG surface model can be directly output and saved to a file, and the output of the pavement center line is supported; the CRG pavement model can be edited by reading the CRG pavement file again. The completed CRG surface model file can be compared for statistical features to verify whether the CRG model achieves the expected purpose.

[0100] As an optional implementation of the embodiment of the present invention, the method for rapid modeling of a digital road surface in a testing ground provided by the embodiment of the present invention further includes: model unit conversion.

[0101] Specifically, this step performs model unit conversion, supports setting unit coefficients when importing models, selecting units when exporting models, and modifying output model file units.

[0102] Based on the rapid modeling method of digital road surface in the test field provided by the embodiment of the present invention, the digital simulation test of special vehicles requires a road surface model, and the road surface is the main external excitation source during the vehicle driving process. The generation, storage, modification, import and display of the RDF and CRG road surface models of the test field road surface required for vehicle simulation in the digital environment are realized. The main function menu of the software is shown in Table 1:

[0103] Table 1 Main menu functions of the software

[0104]

[0105]

[0106] The RDF and CRG pavement models generated by the present invention provide three-dimensional pavement excitation data for special vehicle dynamics research. The system supports simulation analysis with a variety of dynamics simulation software. The present invention provides basic support for conducting digital research on vehicle dynamics environment and simulation optimization of related products.

[0107] The following is a detailed description of the method for rapid modeling of a digital road surface in a test field provided by an embodiment of the present invention by taking a specific example, but the present invention is not limited thereto:

[0108] 1) Overall process of road surface treatment

[0109] The system functions mainly include model input, pavement editing and model output. Model input refers to the input of the test site pavement model, which includes geometric pavement model files (IGES, Tiff), RDF, and CRG format pavement files, and these files are read into the engineering application system; pavement editing includes pavement node editing and grid intelligent division according to requirements, path planning editing, RDF, CRG pavement editing; system output includes output in general standard formats such as pavement geometry, automatic generation of pavement file formats, and test data sorting and classification output.

[0110] The system builds an overall operation process based on the process from pavement data input, pavement data editing and processing, visual display, management operation to data output; from data input, to data processing, and then to outputting the pavement file information in a specified format to other specific systems, a complete test site pavement data engineering operation process is formed. The flow chart is as follows Figure 6 shown.

[0111] 2) Delaunay triangulated mesh construction technology

[0112] Develop an automated, parametric mesh size definition interface with a pre-display function. To construct a three-dimensional road surface, the system uses the registered road surface point cloud data and the natural neighbor interpolation method based on the Delaunay triangulated mesh to obtain a three-dimensional virtual road surface model. Using the data of each node in the model, the road surface trend item is processed to obtain a virtual road surface, and the power spectrum density of the road surface is estimated to obtain the power spectrum density of the experimental road surface and determine the road surface grade.

[0113] For scattered point cloud data, the Delaunay triangulation method is a common method to connect nodes to form a whole. Delaunay triangulation realizes the standard of connecting each node of point cloud data to form a Delaunay triangulated mesh. Figure 7 As shown:

[0114] (1) Based on the coordinate range of the point set, find the convex polygonal hull of the point set.

[0115] (2) Select a point and construct an initial Delaunay triangulation.

[0116] (3) Select a point from the set and use the local optimization process to modify and generate a new Delaunay triangulation.

[0117] 3) Point cloud data simplification and denoising technology

[0118] In the point cloud processing stage, due to the influence of the environment, instruments or other human factors, a large number of noise and clutter will be generated. Before the point cloud data is triangulated, the original point cloud data needs to be simplified and denoised to obtain point cloud data that meets the requirements of road surface construction. Point cloud data denoising and simplification and point cloud data smoothing are very important links in point cloud data processing, which will directly affect the quality of triangulated mesh construction of point cloud data in the later stage. Gaussian filtering and median filtering are used to simplify and remove noise from point cloud data. Among them, Gaussian filtering and its extensions such as Figure 8 As shown in Fig. 9 shown.

[0119] 4)CRG data file generation technology

[0120] Generate CRG format data based on OpenCRG tools. OpenCRG is a complete open source project, including a complete set of pavement creation, modification and evaluation tools. Its goal is to standardize the description of pavement details so that the data can be used in simulation applications related to driving tests such as tires and vehicle vibration.

[0121] like Fig.10 As shown in the figure, the OpenCRG open source project is used on the platform provided by MATLAB. The complex algorithm written by OpenCRG in Matlab is compiled into a dynamic link library (DLL) through the Compiler compiler that comes with Matlab. The function encapsulated in VC is called to implement the application of numerical algorithms and generate road surface mesh data in CRG format.

[0122] OpenCRG has strict requirements on the smoothness of the vehicle's motion path. When editing the motion path, there must be no singular points in the middle of each section of the road. The vehicle's motion path is qualified only after the circumscribed circle is made according to the vehicle's turning radius to eliminate the singular points. Otherwise, the motion path is considered unreasonable and CRG format data cannot be generated normally.

[0123] The ground roughness database management corresponding to the vehicle movement path is implemented. Through data mining technology, massive 3D ground grid point data is quickly located, and the dynamic library converted by OpenCRG is called to generate CRG format data. CRG format data is analyzed and evaluated, and the 3D restoration of CRG format data road surface is evaluated.

[0124] 5) Pavement model application

[0125] The road surface model is used for special vehicle dynamics simulation analysis. Through the import and export of road surface files, it supports the calling and simulation analysis of various vehicle dynamics software, realizes the coupling between tires and roads and the setting of vehicle model paths, and realizes the simulation analysis of vehicle ride comfort and fatigue life. For example: the application of CRG curved road surface in vehicle model, the application of B-class road surface CRG file in ADAMS Car, the application of RDF file in ADAMS Car, the application of CRG road surface model in SimPack, etc.

[0126] It can be seen that the method for rapid modeling of digital road surfaces in a test field provided by the present invention takes rapid modeling of digital road surfaces in a test field as the goal and takes the geometric parameters of the road surface in the test field as the input to realize the editing, conversion and output of road surface test data, generate the required road surface RDF and CRG models, and apply them to the excitation input of various systems related to vehicle digital simulation and road simulation tests to meet the needs of vehicle dynamics simulation, and realize the graphic display, editing and optimization of the input road surface of the chassis environment of special vehicles to meet the various needs of the chassis driving road surface and environment.

[0127] The present invention can establish a fast and easy-to-use road three-dimensional digital model editing engineering application software system, improve the basic capability system of vehicle dynamics analysis, fully realize simulation digitization and virtual test capabilities, and provide real and reliable environmental boundary conditions for vehicle dynamics simulation.

[0128] Fig.11 The structure diagram of the digital road rapid modeling device for a test field provided by an embodiment of the present invention is shown. The digital road rapid modeling device for a test field applies the above method. The following is only a brief description of the structure of the digital road rapid modeling device for a test field. For other matters not covered, please refer to the relevant description in the digital road rapid modeling method for a test field. Fig.11 The digital road surface rapid modeling device for a test field provided by an embodiment of the present invention comprises:

[0129] Modeling module, used for testing field geometric road surface modeling;

[0130] A conversion module, used for converting the model obtained by modeling the geometric road surface of the test site;

[0131] An editing module, used for visual editing of the digital road surface model of the test site;

[0132] The generation module is used to generate, display, restore and verify the RDF pavement model, and to generate, display, restore and verify the CRG pavement model.

[0133] As an optional implementation of the embodiment of the present invention, the modeling module performs test field geometric road surface modeling in the following manner:

[0134] Use the test field road surface parameter data to perform surface modeling and generate a prt file; or convert and output it into an STP or IGES model; the test field geometric road surface includes but is not limited to a bump road, a pulse input road, a stationary slope, a trench, an obstacle, and a washboard road.

[0135] As an optional implementation of the embodiment of the present invention, the conversion module performs model conversion on the model obtained by modeling the test field geometric road surface in the following manner:

[0136] The model obtained by modeling the test site geometric road surface is converted into a Tiff model.

[0137] As an optional implementation of the embodiment of the present invention, the editing module visually edits the digital road surface model of the test site in the following manner:

[0138] The digital road surface model of the test site is cropped and rotated by using operations including but not limited to mouse clicks, interface zooming and translation, and the editing mode is enabled to extract the road surface area of ​​interest; wherein the digital road surface model of the test site includes but is not limited to prt files, STP models, IGES models and Tiff models.

[0139] As an optional implementation of the embodiment of the present invention, the generation module generates, displays, restores and verifies the RDF road model in the following manner:

[0140] Import the road surface model, extract the road surface boundary, enable intelligent mesh division within the boundary, and generate nodes;

[0141] Automatically divide the mesh at the nodes;

[0142] Enable editing to view the information of nodes and grids and make modifications;

[0143] Verify by viewing the generated road surface information through the spectrum characteristic response;

[0144] or

[0145] Import road surface data, extract road surface boundaries, enable intelligent meshing within the boundaries, generate nodes, break up nodes, and encrypt nodes;

[0146] Automatically divide the grid on the encrypted nodes;

[0147] Enable editing to view the information of encrypted nodes and grids and make modifications;

[0148] The generated road surface information is verified by viewing the spectral characteristic response.

[0149] As an optional implementation of the embodiment of the present invention, the generation module performs CRG pavement model generation, display, restoration and verification in the following manner:

[0150] Import the road surface model and extract the road surface boundary;

[0151] Set the centerline and interpolate the transverse elevation data of the road surface; for regular geometric roads, the CRG road surface model range and centerline are set by automatically identifying the boundary; or obtain the centerline of any road surface and draw it manually, and determine the CRG model range manually according to the grid size window;

[0152] Start the edit mode to search and modify the center line and grid;

[0153] Output the data of CRG pavement model and save it to file, and output the center line;

[0154] Edit the CRG pavement model by re-reading the CRG pavement file;

[0155] Compare the statistical characteristics of the CRG pavement model files to verify whether the CRG pavement model achieves the expected purpose.

[0156] As an optional implementation of the embodiment of the present invention, the device for rapid modeling of digital road surface in a testing field provided by the present invention further includes: a unit conversion module for performing model unit conversion.

[0157] It can be seen that through the rapid modeling device of the digital road surface of the test field provided by the present invention, the rapid modeling of the digital road surface of the test field is taken as the goal, and the geometric parameters of the road surface of the test field are taken as input to realize the editing, conversion and output of the road surface test data, generate the required road surface RDF and CRG models, and apply them to the excitation input of various systems related to vehicle digital simulation and road simulation tests to meet the needs of vehicle dynamics simulation, and realize the graphic display, editing and optimization of the input road surface of the special vehicle chassis environment to meet various needs of the chassis driving road surface and environment.

[0158] The present invention can establish a fast and easy-to-use road three-dimensional digital model editing engineering application software system, improve the basic capability system of vehicle dynamics analysis, fully realize simulation digitization and virtual test capabilities, and provide real and reliable environmental boundary conditions for vehicle dynamics simulation.

[0159] The present invention also provides an electronic device, comprising: a processor, a memory;

[0160] Memory for storing computer programs;

[0161] The processor is used to execute the method for rapid modeling of digital road surface of a test field as described above by calling a computer program.

[0162] It can be seen that the electronic equipment provided by the present invention aims at rapid modeling of the digital road surface of the test field, takes the geometric parameters of the road surface of the test field as input, realizes the editing, conversion and output of road surface test data, generates the required road surface RDF and CRG models, and is applied to the excitation input of various systems related to vehicle digital simulation and road simulation tests to meet the needs of vehicle dynamics simulation, and realizes the graphic display, editing and optimization of the input road surface of the special vehicle chassis environment to meet various needs of the chassis driving road surface and environment.

[0163] The present invention can establish a fast and easy-to-use road three-dimensional digital model editing engineering application software system, improve the basic capability system of vehicle dynamics analysis, fully realize simulation digitization and virtual test capabilities, and provide real and reliable environmental boundary conditions for vehicle dynamics simulation.

[0164] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method for rapid modeling of a digital road surface of a test site as described above.

[0165] It can be seen that through the computer-readable storage medium provided by the present invention, the rapid modeling of the digital road surface of the test field is taken as the goal, and the geometric parameters of the road surface of the test field are taken as input to realize the editing, conversion and output of the road surface test data, generate the required road surface RDF and CRG models, and apply them to the excitation input of various systems related to vehicle digital simulation and road simulation tests to meet the needs of vehicle dynamics simulation, and realize the graphic display, editing and optimization of the input road surface of the special vehicle chassis environment to meet the various needs of the chassis driving road surface and environment.

[0166] The present invention can establish a fast and easy-to-use road three-dimensional digital model editing engineering application software system, improve the basic capability system of vehicle dynamics analysis, fully realize simulation digitization and virtual test capabilities, and provide real and reliable environmental boundary conditions for vehicle dynamics simulation.

[0167] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for rapid modeling of digital road surface in a test field, characterized in that: include: Conduct geometric road surface modeling of the test site; Performing model conversion on the model obtained by modeling the geometric road surface of the test site; Conduct visual editing of the digital road surface model of the test site; Generate, display, restore and verify the RDF pavement model, and generate, display, restore and verify the CRG pavement model.

2. The method according to claim 1, characterized in that The test field geometric road surface modeling comprises: Utilize the test field pavement parameter data to perform surface modeling and generate a prt file; or convert and output it into an STP or IGES model; wherein the test field geometric pavement includes but is not limited to a bump road, a pulse input road, a stationary slope, a trench, an obstacle, and a washboard road.

3. The method according to claim 2, characterized in that The model conversion of the model obtained by modeling the test field geometric road surface comprises: The model conversion output obtained by modeling the geometric road surface of the test site is a Tiff model.

4. The method according to claim 3, characterized in that The visual editing of the digital road surface model of the test site includes: The digital road surface model of the test site is cropped and rotated by using operations including but not limited to mouse clicks, interface zooming and translation, and the editing mode is enabled to extract the road surface area of ​​interest; wherein the digital road surface model of the test site includes but is not limited to prt files, STP models, IGES models and Tiff models.

5. The method according to claim 4, characterized in that The RDF pavement model generation, display, restoration and verification comprises: Import the road surface model, extract the road surface boundary, enable intelligent mesh division within the boundary, and generate nodes; Automatically dividing the grid on the nodes; Enable editing to view the information of the node and the grid and make modifications; Verify by viewing the generated road surface information through the spectrum characteristic response; or Importing road surface data, extracting road surface boundaries, enabling intelligent grid division within the boundaries, generating nodes, breaking up the nodes and performing node encryption; Automatically divide the grid on the encrypted nodes; Enable editing to view the information of the encrypted node and the grid and make modifications; The generated road surface information is verified by viewing the spectral characteristic response.

6. The method according to claim 4, characterized in that The generation, display, restoration and verification of the CRG pavement model includes: Import the road surface model and extract the road surface boundary; Set the center line and interpolate the transverse elevation data of the road surface; for regular geometric roads, the CRG road surface model range and the center line are automatically identified by the boundary to set the center line; or obtain any road surface to manually draw the center line, and determine the CRG model range according to the manual input of the grid size window; Start the editing mode to search and modify the center line and the grid; Output the data of the CRG pavement model and save it to a file, and output the center line; Editing the CRG pavement model by re-reading the CRG pavement file; Perform statistical feature comparison on the CRG pavement model file to verify whether the CRG pavement model achieves the expected purpose.

7. The method according to any one of claims 1 to 6, characterized in that: Also includes: Model unit conversion.

8. A rapid modeling device for digital road surface in a test field, characterized in that: include: Modeling module, used for testing field geometric road surface modeling; A conversion module, used for performing model conversion on the model obtained by modeling the geometric road surface of the test site; An editing module, used for visual editing of the digital road surface model of the test site; The generation module is used to generate, display, restore and verify the RDF pavement model, and to generate, display, restore and verify the CRG pavement model.

9. An electronic device, characterized in that: include: Processor, memory; The memory is used to store computer programs; The processor is used to execute the method for rapid modeling of a digital road surface of a testing ground according to any one of claims 1 to 7 by calling the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for rapid modeling of a digital road surface of a test site as described in any one of claims 1 to 7 is implemented.

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