Adaptive adjusting method for material production

Abstract

The invention reveals an adaptive adjusting method for material production, and the method can detect and monitor material detection data of material production in real time. When an abnormality is monitored to happen in material production, abnormal data is automatically uploaded to an upper computer for analysis, and the method carries out automatic withdrawal from a database, and dispatches production materials of a new batch. The beneficial effects of the invention are as follows: 1, the method does not need manual operation, can adaptively dispatch the production materials, and achieves the intelligentization of a production system; 2, the method can inspect the abnormal conditions timely, guarantees the normal operation of production, reduces the reject ratio, improves the quality of products, and improves the production efficiency; 3, the method guarantees the traceability of information, and achieves the informatization of the production system.

Description

technical field [0001] The invention belongs to the technical field of production automation, in particular to an adaptive adjustment method for production materials. Background technique [0002] With the proposal of Made in China 2025, the traditional manufacturing industry has been promoted to develop in the direction of intelligent information production. In the traditional automated production line, machines replace manual labor to achieve automation and produce products automatically. However, when the defect rate of production materials is relatively high, the problem can only be analyzed and processed manually, and intelligent adaptive adjustment cannot be achieved, which reduces the efficiency and quality of production. [0003] MES is the abbreviation of manufacturing execution system (manufacturing execution system). Process production information management and data processing, including order data release, production instruction data release, production process...

AI Technical Summary

Problems solved by technology

In the traditional automated production line, machines replace manual labor to achieve automation and automatically produce products. However, when the defective rate of production materials is relatively high, the problem can only be analyzed and processed manually, and intelligent adaptive adjustment cannot be achieved, which reduces production efficiency and quality.

Images