A body-in-white quality management method and system

Abstract

The invention relates to the field of quality management, in particular to a body-in-white quality management method and system. The present invention obtains a body-in-white picture corresponding to a body-in-white entity; extracts the body-in-white region in the body-in-white picture; divides the body-in-white region into a plurality of sub-regions; assigns part codes corresponding to the sub-regions; Establishing a data table with the preset quality management parameters of the body in white as a field; obtaining the value of the quality management parameter corresponding to any sub-area; saving the value of the quality management parameter and the part corresponding to the any sub-area coded to the data table. To improve the accuracy of matching the quality parameter information of the body-in-white and the parts of the body-in-white.

Description

Technical field [0001] The invention relates to the field of quality management, in particular to a white body quality management method and system. Background technique [0002] In automobile body production enterprises, usually the inspection records in the body manufacturing process are manually recorded on paper with a pen, and then input into office software (such as excel), and finally sorted and summarized. This method consumes a lot of energy, occupies a large amount of labor, and the information is updated slowly, the reference is not intuitive, the input data is easy to make mistakes, the sharing is poor, the statistical analysis is slow, and more importantly, the white body refers to the completion of welding but before painting The car body does not include moving parts such as four doors and two covers. The entire car body has a large area, and the car body itself has no obvious area division. This feature makes it difficult to accurately match the recorded quality p...

AI Technical Summary

Problems solved by technology

This method consumes a lot of energy, takes up a lot of labor, and the information update is slow, the query is not intuitive, the input data is error-prone, the sharing is poor, and the statistical analysis is slow. The body of the body does not include moving parts such as four doors and two covers. The entire body area is large, and the body itself has no obvious area division. When there is a quality problem in the car body, it is impossible to quickly, intuitively and accurately locate the specific part of the defect, which is conducive to improving production efficiency

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