Automatic analysis system and method of product quality factor information

Abstract

The invention discloses an automatic analysis system and method of product quality factor information. The automatic analysis system comprises an after-sale information searching memory, a quality detection risk information memory, a product standard information memory, a same-kind product quality problem information memory, a structural factor quality information memory, a technical factor quality information memory, a material factor quality information memory, an artificial operation factor quality information memory, an automatic operation factor quality information memory, a central calculator and multiple investigation terminals. The automatic analysis method comprises the steps of preliminary information collection, information classification and storage, artificial supplementary information classification, report generation and new report generation.

Description

technical field [0001] The invention relates to the technical field of product quality information analysis, in particular to an automatic analysis system and automatic analysis method for product quality factor information. Background technique [0002] For the current manufacturing enterprises, the concern for products has already surpassed the original method, that is, business personnel only analyze possible defects and quality factors of products based on their own experience and perception. Practice has proved that this method is insufficient and backward. This kind of "head-slapping decision-making" process is not conducive to the analysis and improvement of product quality. [0003] In the prior art, there are some automatic classification and analysis of product quality factors, or automatic search methods for possible quality factors, but these methods have great limitations. One is sorting and induction, and the analysis process is very random, or It is called ta...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, there are some automatic classification and analysis of product quality factors, or automatic search methods for possible quality factors, but these methods have great limitations. One is sorting and induction, and the analysis process is very random, or It is called targeted analysis or focused analysis, but the fact is that the product quality factors are not considered comprehensive enough. In fact, if the analysis of product quality factors loses comprehensiveness, it may have no practical significance, because the real product quality factors may be in the Among the missing information, there is another quality factor information that is collected, which is often superficially reflected as the source of the information, that is, from what method the information was obtained. If the division of the structure, process, material, human operation, and automated operation of the analysis is only recorded according to the information source and used by the R&D personnel, it will not only be inconvenient to manage, but it will also be difficult for the R&D personnel to make good use of the information. It is difficult for R&D personnel to have a substantive impact on the quality of this information. The summarized and analyzed problems and experience are still in a fragmented state, and it is difficult to use and process them later.

In order to improve the comprehensiveness, pertinence, and effectiveness of experience in the product quality analysis process, the existing technology lacks an automatic analysis system and automatic analysis method for product quality factor information that can effectively process information

Images