Quality control nervous system for production quality control

Abstract

The invention discloses a quality control nervous system for production quality control. The system comprises a quality control neural server, a quality control neural execution terminal and production equipment. The quality control neural server is equivalent to a quality control model generator, and the quality control neural server is used for realizing construction and training of a quality control model and publishing or importing the quality control model into the quality control neural execution terminal after the quality control model is trained to be mature. The quality control neuralexecution terminal is used for receiving and downloading a mature quality control model constructed and trained by the quality control neural server, and the quality control neural execution terminalis used for monitoring the production quality of production equipment and collecting production data of the production equipment. The invention relates to the technical field of industrial automationand specifically provides a quality control nervous system for production quality control which has the functions of parameter adjustment guidance, real-time early warning and important feature extraction and application, and closed-loop quality monitoring of beforehand professional guidance, process quality monitoring, result superposition analysis between equipment operation states and continuous quality improvement is achieved.

Description

technical field [0001] The invention relates to the technical field of industrial automation, and specifically refers to a quality control nervous system for production quality control, which is mainly used to solve the technical problem of quality control based on the defective rate in high-frequency production and manufacturing of equipment. Background technique [0002] Product quality control is an extremely critical business link for manufacturing companies. Today's manufacturing companies have devoted a lot of effort and management investment to improve product quality, including implementing management systems (QIS, MES, ERP) and strengthening operation control. (IQC, IPQC, FQC, OQC), and implement new methods (TQM, first article inspection, tracking and tracing), etc., but there are few methods to truly achieve pre-event prevention, in-process control, and post-event analysis. The reason for this is that the current production quality control is an after-the-fact qua...

AI Technical Summary

Problems solved by technology

[0002] Product quality control is an extremely critical business link for manufacturing companies. Today's manufacturing companies have devoted a lot of effort and management investment to improve product quality, including implementing management systems (QIS, MES, ERP) and strengthening operation control. (IQC, IPQC, FQC, OQC), implement new methods (TQM, first article inspection, track and trace), etc., but there are few methods to truly achieve pre-prevention, in-process control, and post-event analysis

The reason for this is that the current production quality control is an after-the-fact quality control, which cannot achieve pre-prevention and in-process control. Therefore, the effects of quality control are not satisfactory. Improve it to achieve product quality control in the production process and reduce the production defect rate

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