Production quality tracing method based on a big data technology

Abstract

According to the production quality tracing method based on the big data technology, it is guaranteed that information can be correctly transmitted, process management and data traceability managementare conducted on the whole production process, and the purpose of production quality control is achieved. The system is communicated with an equipment end through an industrial field bus. Intelligentdata acquisition system, Various production information of a production line is collected and stored in a server, various production data of the production line are collected, counted, analyzed and processed on the basis of a big data technology and an object relation mapping technology, data storage is standardized, the whole production process is procedural and traceable, and information of thewhole production line is systematically managed.

Description

technical field [0001] The invention relates to the technical field of quality traceability, in particular to a production quality traceability method based on big data technology. Background technique [0002] In the field of manufacturing management, new ideas and methods such as just-in-time (JIT) and theory of constraints (TOC) have emerged. In the field of process control, PLC and DCS have been widely used, but they still cannot be used in the practice of factory and enterprise-wide information integration. Accurate and timely grasp of the actual production situation, in the production process can not get a feasible operation plan. [0003] The production management business system and the production process control system are separated from each other, the boundary between the planning system and the process control system is blurred, and there is no close connection. For example, in the face of a variety of products in the production line, there is a lot of process i...

AI Technical Summary

Problems solved by technology

For example, in the face of a variety of products in the production line, there is a lot of process information between each station, often because the production information cannot be transmitted or the transmission is not in place, equipment alarms stop or the product is defective but the root cause cannot be found, resulting in reduced production efficiency. Product management difficulty

Moreover, there is a lack of information transmission medium between people and equipment, low human-computer interaction, low degree of automation, high labor intensity, etc. There are more and more problems exposed by single-function control