Defective product analysis method and system for intelligent manufacturing

Abstract

The invention relates to a defective product analysis method and system for intelligent manufacturing, and the method comprises the following steps: building a defective product detection and analysis platform, and inputting the product information of a to-be-detected product; obtaining the appearance image information of the to-be-detected product, and judging the validity of the appearance image information; comparing and analyzing the appearance image information of the to-be-detected product passing the validity judgment with the standard appearance image information of the product, and judging whether the appearance image information of the to-be-detected product is qualified or not; if the to-be-detected product is unqualified, marking difference points on the appearance image information of the to-be-detected product, and determining a difference point generation process; and continuously carrying out statistical analysis on the difference point generation processes of the unqualified products on the same production line, confirming the operation condition of the production equipment of each production process, and sending alarm information to a manager when the operation condition of the production equipment of a certain production process is abnormal. The method has the effects of efficiently screening the defective products and intelligently analyzing the reasons of the defective products, and the production quality of the products can be improved.

Description

technical field [0001] The present application relates to the field of analysis of defective products in intelligent manufacturing, in particular to a method and system for analyzing defective products in intelligent manufacturing. Background technique [0002] Intelligent manufacturing refers to the general term for advanced manufacturing processes, systems and models with functions such as information self-perception, self-decision-making, and self-execution. It is specifically reflected in the deep integration of each link of the manufacturing process with the new generation of information technology, such as the Internet of Things, big data, cloud computing, artificial intelligence, etc. Smart manufacturing generally has four characteristics: smart factories as the carrier, the intelligence of key manufacturing links as the core, end-to-end data flow as the basis, and Internet connectivity as the support. However, in industrial production, no matter how sophisticated th...

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Problems solved by technology

[0005] In order to improve the problem that even if the defective product is successfully detected in the existing product inspection process, there is still a lack of intelligent and effective analysis of the defective product, and the problem that the cause of the defective product cannot be found in time. This application provides a defective product for intelligent manufacturing. Analysis method and system

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