Visualization-based whole vehicle measurement method and system

Abstract

The invention discloses a whole vehicle measurement method and system based on visualization, and relates to the technical field of vehicle detection. Comprising the following steps: checking online measurement data, selecting a measurement reference point and carrying out early-stage preparation work; scanning the whole vehicle: scanning and measuring the whole vehicle by using laser scanning equipment; establishing a coordinate system and fitting data; analyzing measurement data, analyzing a size change trend and a relative deviation value, and analyzing a deviation reason; the method comprises the following steps: selecting at least three measurement reference points; the measurement datum points are points which are still exposed out of the outer surface of the whole vehicle after final assembly, the measurement datum points are arranged on a stable area of a vehicle body, and the area of an area defined by connecting lines of the measurement datum points is larger than or equal to two thirds of the area of the outer contour of the whole vehicle. According to the invention, the exposed points on the surface of the whole vehicle body are used for replacing the white vehicle body positioning reference holes to establish the coordinate system, so that the problem of difficulty in high-precision and high-frequency measurement of the whole vehicle in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of vehicle inspection technology, and in particular to a visualization-based whole vehicle measurement method and system. Background Technology

[0002] Currently, OEMs typically perform frequent measurements on the body-in-white assembly, but less so on painted and final-assembled vehicles. For final-assembled vehicles, the reference holes used for positioning are sealed with adhesive tape and caps. Conventional methods for measuring the entire vehicle require removing these tapes and fillers from the positioning holes, a complex process that can deform the holes and affect measurement accuracy. This limitation makes it difficult to guarantee the frequency and accuracy of measurements for final-assembled vehicles. The lack of high-precision, high-frequency measurements of the entire vehicle makes it impossible to provide sufficient data support, causing significant difficulties in analyzing dimensional issues.

[0003] Coordinate measuring machines (CMMs) and online measurements on the main welding line both establish the vehicle's coordinate system based on the four locating pins on the floor. This method is simple and has minimal variation. Measurements are performed on each vehicle on the main welding line, and data is recorded. To ensure production cycle time, the number of measurement points is typically 50-80. For commercial vehicles, wiring harnesses and assembly parts are already installed at all holes on the body surface, leaving no exposed holes for coordinate system establishment.

[0004] CN110319771B provides a method, apparatus, system, electronic device, and storage medium for online measurement of vehicle body features. The method includes: executing a robot equipped with a vision sensor along a measurement trajectory; the vision sensor measuring multiple features on the vehicle body to obtain the coordinates of the features in the vision sensor's coordinate system; using a laser tracker mounted on the vehicle body to track a spherical mount outside the vision sensor to obtain a transformation relationship between the vision sensor's coordinate system and the laser tracker's coordinate system; establishing a transformation relationship between the laser tracker's coordinate system and the vehicle body coordinate system; obtaining the transformation relationship between the vision sensor's coordinate system and the vehicle body coordinate system; and converting the coordinates of the measured features in the vision sensor's coordinate system to the coordinates of the measured features in the vehicle body coordinate system, as the measurement result of the measured features. However, this prior art cannot perform whole-vehicle measurement for the final assembly.

[0005] CN111964578B relates to a method for establishing a coordinate system for measuring vehicle parameters. The method involves: determining the coordinates of multiple reference points on the vehicle surface in a reference coordinate system; measuring the coordinates of at least three sets of symmetrical hard points along the left-right symmetrical direction of the vehicle in the reference coordinate system; creating a Y-source plane using the centers of symmetry of the multiple sets of symmetrical hard points; generating a straight line from any two points on the horizontal ground where the car is parked, projecting it onto the Y-source plane to obtain the X-axis, with the normal direction of the Y-source plane as the Y-axis and the normal direction of the XY plane as the Z-axis; projecting the center of the driver's side front wheel onto the Y-source plane and using the projection point as the origin of the vehicle measurement coordinate system; and then using a point, line, and surface method to complete the establishment of the vehicle measurement coordinate system. However, this existing technology uses a coordinate measuring machine, which is slow and inefficient. Summary of the Invention

[0006] The purpose of this invention is to provide a visualization-based vehicle measurement method and system. It establishes a coordinate system using points on the outer surface of the vehicle body. The coordinate system can be easily established by scanning and selecting points using laser scanning. The operation is simple and enables all-round three-dimensional measurement of the entire vehicle, shortening the vehicle measurement time and increasing the measurement frequency. It solves the problem of high-precision and high-frequency measurement of the entire vehicle that is difficult to achieve with existing technologies.

[0007] This invention provides the following solutions

[0008] A visualization-based method for measuring a whole vehicle includes the following steps:

[0009] S1. Verify the online measurement data, select measurement benchmarks, and carry out preliminary preparations;

[0010] S2. Vehicle scanning: The entire vehicle is scanned and measured using laser scanning equipment.

[0011] S3. Establish a coordinate system and fit the data;

[0012] S4. Analyze measurement data, including the trend of dimensional changes and relative deviation values, and analyze the causes of deviations.

[0013] Step S1 includes selecting at least three measurement reference points; the measurement reference points are points that are still exposed on the outer surface of the vehicle after final assembly, the measurement reference points are set on the stable area of ​​the vehicle body, and the area enclosed by the lines connecting the measurement reference points is greater than or equal to two-thirds of the outer contour area of ​​the vehicle.

[0014] Furthermore, the following steps are included after step S3 and before step S4:

[0015] S3', Local system establishment and supplementary measurement: Local system establishment is performed in some areas to supplement the whole vehicle measurement.

[0016] Furthermore, step S3' includes the following steps:

[0017] S31' Select at least three local reference points around the problem area;

[0018] S32', Local scanning: Using laser scanning equipment to scan and measure the local area of ​​the vehicle where the problem area is located;

[0019] S33' Establish a local coordinate system and fit the data.

[0020] Furthermore, step S1 includes the following steps:

[0021] S11. Perform multiple rounds of verification between online measurement data and measurement center data to ensure measurement accuracy;

[0022] S12. Screen the online measurement points and select the exposed measurable points as the measurement reference points;

[0023] S13. Prepare the digital model of the vehicle to be measured and retrieve the online measurement data of the vehicle to be measured;

[0024] Step S12 includes selecting at least three measurement reference points; the measurement reference points are points that are still exposed on the outer surface of the vehicle after final assembly, the measurement reference points are set on the stable area of ​​the vehicle body, and the area enclosed by the lines connecting the measurement reference points is greater than or equal to two-thirds of the outer contour area of ​​the vehicle.

[0025] Furthermore, step S12 includes selecting six measurement reference points, which are respectively a first reference point set on the lower outer surface of the right A-pillar, a second reference point set on the upper outer surface of the right C-pillar, a third reference point set on the eagle beak-shaped surface of the right rear end of the vehicle body, a fourth reference point set on the lower outer surface of the left A-pillar, a fifth reference point set on the upper outer surface of the left C-pillar, and a sixth reference point set on the eagle beak-shaped surface of the left rear end of the vehicle body.

[0026] Furthermore, step S2 includes the following steps:

[0027] S21. Park the vehicle to be measured in the measurement room and keep the space stable;

[0028] S22. Preheat the laser scanning equipment to prepare for scanning and measuring the entire vehicle;

[0029] S23. Use a laser scanning device to scan and measure the entire vehicle from directly above, and generate scan measurement data.

[0030] Furthermore, step S3 includes the following steps:

[0031] S31. Use the coordinates of each measurement reference point in the online measurement data to assign values ​​to each measurement reference point selected in step S1 and establish a coordinate system;

[0032] S32. The scanning measurement is used to form scanning measurement data and online measurement data is fitted.

[0033] Furthermore, step S4 includes, after fitting, comparing the scanned measurement data with the online measurement data, analyzing the size change trend and relative deviation value based on the comparison results, and analyzing the cause of the deviation.

[0034] Furthermore, the following steps are included after step S4:

[0035] S5. Assemble and verify the problematic parts on the whole vehicle, analyze the comprehensive measurement data to determine the rectification direction of the problematic parts or body-in-white, and issue rectification instructions.

[0036] S6. Rectify according to the rectification instructions issued in step S5, verify the rectified parts, and if there are still problems, repeat steps 1 to 6 for verification until the problem is resolved; lock the data status of relevant parts and track and confirm the stability of part dimensions.

[0037] A visualization-based vehicle measurement system for implementing the aforementioned visualization-based vehicle measurement method includes a laser scanning device and a computer, wherein the laser scanning device is electrically connected to the computer.

[0038] Compared with the prior art, the present invention has the following advantages:

[0039] The present invention provides a visualization-based vehicle measurement method and system that uses exposed points on the surface of the vehicle body to replace the positioning reference holes of the body-in-white to establish a coordinate system. This avoids the need to remove adhesive tape and plugs before measurement and then restore them after measurement, which can cause deformation of the holes and affect measurement accuracy, as well as other derivative problems caused by poor sealing during restoration. The use of laser scanning makes it easy to select points and establish a coordinate system, and the operation is simple. It can realize all-round three-dimensional measurement of the whole vehicle, shorten the vehicle measurement cycle, increase the measurement frequency, and solve the problem of difficult whole vehicle measurement in production. Attached Figure Description

[0040] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0041] Appendix Figure 1This is a schematic diagram of the visualization-based vehicle measurement method described in this invention;

[0042] Appendix Figure 2 This is a schematic diagram of the visualization-based vehicle measurement method described in Embodiments 2 and 3 of the present invention;

[0043] Appendix Figure 3 This is a schematic diagram showing the distribution of the measurement reference points described in this invention;

[0044] Appendix Figure 4 This is a schematic diagram of the distribution of local reference points described in this invention;

[0045] Appendix Figure 5 This is a partially enlarged schematic diagram of the local reference point described in this invention;

[0046] Appendix Figure 6 This is another enlarged schematic diagram of the local reference point described in this invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0049] It should be understood that the term "and / or" used in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0050] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0051] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0052] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0053] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0054] Example 1, please refer to Figure 1 As shown, this embodiment provides a visualization-based vehicle measurement method, including the following steps:

[0055] S1. Preliminary preparations: calibrating online measurement data and selecting measurement benchmarks;

[0056] S2. Vehicle scanning: The entire vehicle is scanned and measured using laser scanning equipment.

[0057] S3. Establish a coordinate system and fit the data;

[0058] S4. Analyze measurement data, including the trend of dimensional changes and relative deviation values, and analyze the causes of deviations.

[0059] Specifically, the measurement of the entire vehicle described in this embodiment is a measurement measure taken after the vehicle is assembled, following preliminary inspection that determines that certain areas deviate from the product design. Step S1 includes...

[0060] S11. Perform multiple rounds of verification between online measurement data and measurement center data to ensure measurement accuracy;

[0061] After the body-in-white welding is completed, key hole positions and surface feature points are usually measured online, which are called online measurement points. The online measurement point data needs to be checked against the coordinate measuring machine data at the measurement center for multiple rounds to ensure measurement consistency.

[0062] S12. Screen the online measurement points and select the exposed measurable points as the measurement reference points;

[0063] Please see Figure 3 As shown, online measurement points are screened, and the selected measurement reference points must have the following characteristics:

[0064] This method is used for whole vehicle measurement. Due to the sealing requirements of automobiles and the assembly of external covering parts, the holes and some surface measuring points of the online measurement are blocked. Therefore, when selecting points, it is necessary to select measuring points on the outer surface of the vehicle body that will not be blocked by the external covering parts in advance.

[0065] The selected points should be located in stable regions, i.e., areas that are not prone to large deformations, such as the connection points between the ends of the A, B, and C pillars and surrounding components, or the beak-like area at the rear of the vehicle body, to avoid affecting the subsequent establishment of the coordinate system.

[0066] The selected points should cover a large area, encompassing more than two-thirds of the entire vehicle. In this embodiment, the six selected measurement reference points are: the first reference point A located on the lower outer surface of the right A-pillar; the second reference point B located on the upper outer surface of the right C-pillar; the third reference point C located on the surface at the right rear "eagle beak" of the vehicle body; the fourth reference point D located on the lower outer surface of the left A-pillar; the fifth reference point E located on the upper outer surface of the left C-pillar; and the sixth reference point F located on the surface at the left rear "eagle beak" of the vehicle body. Additional reference points can be added based on actual conditions; the more points, the more accurate the coordinate system.

[0067] Specifically, step S2 includes,

[0068] S21. Park the vehicle to be measured in the measurement room and keep the space stable;

[0069] S22. Preheat the laser scanning equipment to prepare for scanning and measuring the entire vehicle;

[0070] S23. Use a laser scanning device to scan and measure the entire vehicle from directly above to generate measurement data.

[0071] Specifically, step S3 includes,

[0072] S31. Assign values ​​to the measurement reference points selected in step S1 using the coordinates of each measurement reference point in the online measurement data to establish a coordinate system; the coordinates of the above six measurement reference points are A(1402.55,845.28,1785.21), B(4259.04,656.16,2214.60), C(4817.63,688.21,1839.62), D(1420.55,-845.28,1785.21), E(4259.04,-656.16,2214.60), and F(4817.63,-688.21,1839.62);

[0073] S32. Fit the measurement data generated by the scanning measurement with the online measurement data.

[0074] Specifically, step S4 includes,

[0075] After fitting, the measurement data can be used to analyze the trend of dimensional changes and the relative deviation value. Depending on the specific situation, the dimensions of the problem area can be analyzed. Taking the rear of the vehicle as an example, if the actual vehicle has a Z-axis surface difference between the trunk lid and the body, the following situations may exist based on the scan results:

[0076] In the first scenario, if the Z-axis profile of the rear of the vehicle body deviates but the trunk lid data meets the standard requirements, then investigate the cause of the welded body size fluctuation and continue to analyze the cause of the body deviation.

[0077] In the second scenario, if the Z-direction profile data of the rear of the vehicle body meets the standard requirements, but the Z-direction profile of the trunk lid deviates, then check the dimensions of the welded trunk lid. If the dimensions of the trunk lid are qualified, analyze whether it is due to over-painting changes or manual assembly. If the dimensions of the trunk lid are not qualified, continue to check the cause of the dimensional deviation of the trunk lid during welding, and whether it is affected by factors such as parts, tooling, and processes.

[0078] In the third case, if the data for the vehicle body and trunk lid are both qualified, it is necessary to check whether the manual adjustment was not done properly or other factors affected the process.

[0079] In the fourth scenario, if both the vehicle body and trunk lid dimensions are not up to standard, then the reasons for the dimensional deviations of the vehicle body and trunk lid must be investigated separately.

[0080] Example 2, please refer to Figure 2 As shown, this embodiment provides a visualization-based vehicle measurement method, which adds supplementary measurement steps based on embodiment 1.

[0081] Specifically, the following steps are added after step S3.

[0082] S3', Local system establishment and supplementary measurement: Local system establishment is carried out in some areas to supplement the whole vehicle measurement;

[0083] The measurement of the whole vehicle spans a large area and covers a wide range. The measurement accuracy in areas far from the laser scanning equipment will be affected, and the measurement accuracy in local areas will fluctuate greatly. In this case, local system construction can be carried out in the problem area to improve the measurement accuracy and supplement the whole vehicle measurement. The problem area is the area that is judged to deviate from the product design after preliminary inspection.

[0084] Specifically, at least three non-collinear points should be selected as local reference points. More reference points can be selected as needed to improve accuracy. Please refer to [link to relevant documentation]. Figures 4 to 6As shown, in this embodiment, taking the rear of the vehicle as an example, a local coordinate system can be established using the following method;

[0085] First, select two local reference points, P1 and P2, symmetrically arranged on the left and right sides of the Z-axis plane on the upper rear side of the vehicle, to serve as positioning points in the Z-axis direction. Then, select two local reference points, P3 and P4, on the X and Y-axis surfaces at the left beak of the rear of the vehicle, and select two local reference points, P5 and P6, symmetrically arranged at the right beak, to serve as positioning points in the X and Y directions, respectively.

[0086] Secondly, take two local reference points, P7 and P8, on the left and right X-axis planes of the middle of the trunk lid, respectively, to locate the X-axis of the trunk lid.

[0087] Finally, unlike conventional articulated arm and double cantilever measurements, laser scanning can achieve iterative alignment of points on a surface. After scanning the rear of the entire vehicle, the body and rear cover can be iteratively aligned by selecting 8 points as described above, and the dimensional deviation and the relative relationship of the deviation can be obtained.

[0088] Example 3, please refer to Figure 2 As shown, this embodiment provides a visualization-based vehicle measurement method, including the following steps:

[0089] S1. Preliminary preparations: calibrating online measurement data and selecting measurement points;

[0090] S2. Vehicle scanning: The entire vehicle is scanned and measured using laser scanning equipment.

[0091] S3. Establish a coordinate system and fit the data;

[0092] S3', Local system establishment and supplementary measurement: Local system establishment is carried out in some areas to supplement the whole vehicle measurement;

[0093] S4. Analyze measurement data, including the trend of dimensional changes and relative deviation values, and analyze the causes of deviations.

[0094] Specifically, after step S4, the following is also included:

[0095] S5. Issue a rectification order, perform assembly verification of the problematic parts on the whole vehicle, and provide the rectification direction for the dimensions of the problematic parts or body-in-white.

[0096] S6. Verification of rectification effect: Verify the rectified parts and take corresponding measures based on the verification results.

[0097] Specifically, step S5 includes,

[0098] The problematic parts were assembled and verified on the whole vehicle, the differences were recorded, and compared with the model measurement data;

[0099] Provide the rectification direction for the problematic parts or body-in-white dimensions, and issue rectification instructions.

[0100] Step S6 includes,

[0101] Verify the rectified parts. If problems still exist, repeat steps 1 to 6 until the problem is resolved. Lock the relevant part data status and track and confirm the stability of part dimensions.

[0102] This embodiment also provides a visualization-based vehicle measurement system, including a laser scanning device and a computer. The laser scanning device is electrically connected to the computer to implement the above-described visualization-based vehicle measurement method.

[0103] The laser scanning equipment uses a Creaform 3D optical measuring instrument, which includes an optical scanner main probe, a portable optical measuring pen, an optical tracking host, a reflective target tool kit, and a side head accessory kit.

[0104] The reflective target tool kit features magnetic or adhesive white dots. Areas that are difficult to measure due to lighting and position are addressed by attaching magnetic targets for reflection, allowing for scanning and feature capture. Another function is to record the adhesive target points before moving the measuring device, and then re-establish the coordinate system based on these points after movement, ensuring consistency before and after device movement. The optical scanner's main probe and optical tracking unit connect via the dedicated VXelements program to scan and measure surfaces. A portable optical measuring pen is used to measure hole features. The probe accessory kit includes multiple probe models.

[0105] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A visualization-based whole vehicle measurement method, characterized in that, Includes the following steps: S1. Verify the online measurement data, select measurement benchmarks, and carry out preliminary preparations; S2. Vehicle scanning: The entire vehicle is scanned and measured using laser scanning equipment. S3. Establish a coordinate system and fit the data; S4. Analyze measurement data, including the trend of dimensional changes and relative deviation values, and analyze the causes of deviations. Step S1 includes selecting at least three measurement reference points; the measurement reference points are points that are still exposed on the outer surface of the vehicle after final assembly, the measurement reference points are set on the stable area of ​​the vehicle body, and the area enclosed by the lines connecting the measurement reference points is greater than or equal to two-thirds of the outer contour area of ​​the vehicle.

2. The visualization-based vehicle measurement method according to claim 1, characterized in that, The following steps are included after step S3 and before step S4: S3', Local system establishment and supplementary measurement: Local system establishment is performed in some areas to supplement the whole vehicle measurement.

3. The visualization-based vehicle measurement method according to claim 2, characterized in that, Step S3' includes the following steps: S31' Select at least three local reference points around the problem area; S32', Local scanning: Using laser scanning equipment to scan and measure the local area of ​​the vehicle where the problem area is located; S33' Establish a local coordinate system and fit the data.

4. The visualization-based vehicle measurement method according to claim 1, characterized in that, Step S1 Includes the following steps, S11. Perform multiple rounds of verification between online measurement data and measurement center data to ensure measurement accuracy; S12. Screen the online measurement points and select the exposed measurable points as the measurement reference points; S13. Prepare the digital model of the vehicle to be measured and retrieve the online measurement data of the vehicle to be measured; Step S12 includes selecting at least three measurement reference points; the measurement reference points are points that are still exposed on the outer surface of the vehicle after final assembly, the measurement reference points are set on the stable area of ​​the vehicle body, and the area enclosed by the lines connecting the measurement reference points is greater than or equal to two-thirds of the outer contour area of ​​the vehicle.

5. The visualization-based vehicle measurement method according to claim 4, characterized in that, Step S12 includes selecting six measurement reference points, namely, a first reference point set on the outer surface of the lower end of the right A-pillar, a second reference point set on the outer surface of the upper end of the right C-pillar, a third reference point set on the eagle beak-shaped surface of the rear end of the right vehicle body, a fourth reference point set on the outer surface of the lower end of the left A-pillar, a fifth reference point set on the outer surface of the upper rear end of the left C-pillar, and a sixth reference point set on the eagle beak-shaped surface of the rear end of the left vehicle body.

6. The visualization-based vehicle measurement method according to claim 4, characterized in that, Step S2 includes the following steps: S21. Park the vehicle to be measured in the measurement room and keep the space stable; S22. Preheat the laser scanning equipment to prepare for scanning and measuring the entire vehicle; S23. Use a laser scanning device to scan and measure the entire vehicle from directly above, and generate scan measurement data.

7. The visualization-based vehicle measurement method according to claim 6, characterized in that, Step S3 Includes the following steps, S31. Use the coordinates of each measurement reference point in the online measurement data to assign values ​​to each measurement reference point selected in step S1 and establish a coordinate system; S32. The scanning measurement is used to form scanning measurement data and online measurement data is fitted.

8. The visualization-based vehicle measurement method according to claim 7, characterized in that, Step S4 includes, after fitting, comparing the scanned measurement data with the online measurement data, analyzing the size change trend and relative deviation value based on the comparison results, and analyzing the cause of the deviation.

9. The visualization-based vehicle measurement method according to claim 8, characterized in that, The following steps are included after step S4: S5. Assemble and verify the problematic parts on the whole vehicle, analyze the comprehensive measurement data to determine the rectification direction of the problematic parts or body-in-white, and issue rectification instructions. S6. Rectify according to the rectification instructions issued in step S5, verify the rectified parts, and if there are still problems, repeat steps 1 to 6 for verification until the problem is resolved; lock the data status of relevant parts and track and confirm the stability of part dimensions.

10. A visualization-based vehicle measurement system, characterized in that, A method for implementing a visualization-based vehicle measurement method as described in any one of claims 1-9 includes a laser scanning device and a computer, wherein the laser scanning device is electrically connected to the computer.

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