Vehicle body assembly quality online diagnosis method based on component measuring point distance abnormality judgment

Abstract

The invention relates to a vehicle body assembly quality online diagnosis method based on component measuring point distance abnormality judgment, which combines the vehicle body assembly process relation and the clamp positioning process information, extracts out-of-tolerance measuring points in measuring data of a tail end detection station, and achieves determination of defective components. The positioning of the faulty station is realized by discriminating the potential faulty stations related to the defective components from top to bottom and judging and analyzing the difference between the actual distance and the standard distance of the measuring points on the defective parts. In the fault station, the relative distances between the key points on the defective parts are different, so as to achieve the diagnosis of the parts' defects. Meanwhile, according to the in-station deviation relation model and the estimation method, the element positioning deviation is solved, so as to achieve the fault diagnosis of the clamp and to guide the making of the assembly system maintenance strategy. With the method, the diagnosis precision is improved, the system fault source can be found more timely based on the single-vehicle fault diagnosis, thereby reducing loss caused by the process system fault.

Description

technical field [0001] The invention relates to a quality detection technology, in particular to an on-line diagnosing method for vehicle assembly quality based on the distance discrimination of parts measuring points. Background technique [0002] Body assembly deviation source diagnosis technology has always been a difficult problem for automobile manufacturers in the process of improving dimensional accuracy. In the complex assembly process of the body, multiple error sources such as parts manufacturing deviation, fixture positioning deviation, welding error and operation defect will affect the assembly deviation of the body-in-white. In addition, the assembly deviation of the body-in-white has a great impact on the quality of the vehicle, the appearance quality of the body, engineering matching and market share. [0003] The traditional SPC quality control method does not detect the deviation source. When the out-of-tolerance occurs, the identification of the deviation s...

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the problem of difficult diagnosis of multiple deviation sources during automobile assembly, and proposes an on-line diagnosis method for car body assembly quality based on the distance judgment of parts measuring points, to solve the problem of multi-station and multiple deviation sources. The method is based on parts measurement The online diagnosis method of point distance discrimination, combined with CAD positioning information and assembly process information, realizes the determination of defective parts by extracting the fluctuation measurement points in the measurement data of the end station

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