Detection method of position drop of characteristic line of vehicle body

Abstract

The embodiment of the invention provides a method of detecting positional drop of a vehicle body characteristic line. The method includes the steps: making a section line perpendicular to the characteristic line at the matching position of the characteristic line; determining a starting point and an ending point of the characteristic line on the section line; according to the starting point and the ending point, determining comparison reference points on the section line; and based on the comparison reference points, determining the positional drop of the characteristic line. The method of detecting positional drop of a vehicle body characteristic line can determine the comparison reference points in a unified way, puts each comparison reference point in the same reference coordinate system, and can obtain quantized positional drop data, thus being convenient for evaluation and correction.

Description

technical field [0001] The invention relates to the detection technology in the automobile manufacturing process, more specifically, to a method for detecting the position drop of the characteristic line of the vehicle body between different parts. Background technique [0002] Along with the aesthetic change of the appearance of the car and the improvement of the stamping process, more and more decorative lines are used on the car body to decorate the appearance of the vehicle. At present, the characteristic line of the vehicle body (also known as the rib line or the waist line) has become an indispensable feature in the exterior design of the car. figure 1 A schematic diagram revealing the body character lines involved in the vehicle design process. [0003] However, the entire body is composed of multiple parts, such as four doors, front and rear covers, side panels, fenders, front and rear bumpers, and front and rear headlights. In order to pursue the beauty and integri...

AI Technical Summary

Problems solved by technology

However, since the feature line usually has a certain width, and the section of the feature line is not a regular arc or regular geometric shape, it is difficult to determine the exact position of the feature line, and it is also difficult to make a specific quantification of the position drop of the feature line Evaluation

This leads to a very low correction efficiency for the problem of the position drop of the feature line

Since there is no accurate quantitative data, we can only rely on the overall observation feeling to evaluate whether the feature lines are aligned, resulting in low accuracy and efficiency of evaluation

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