An automated production monitoring method based on big data and blockchain

Abstract

The invention discloses an automatic production monitoring method based on big data and block chain, which belongs to the field of automatic production monitoring. An automatic production monitoring method based on big data and block chain is formulated according to the size and type of shoes. The corresponding processing scheme is convenient for real-time monitoring of the processing quality. Through the setting of the telescopic buffering effect of the fixed block, the buffering effect can be effectively played, and the generation of air bubbles can be reduced, and the criss-crossing fiber strips can effectively remove the dyes. Bubble impurities, the inner material is PMMA defoaming wire, which can effectively guide and guide air bubbles, so as to facilitate the removal of air bubbles in the dye. It is guided to the inside of the adsorption block, and the excess dye solution can be effectively collected through the set adsorption block.

Description

technical field [0001] The invention relates to the field of automatic production monitoring, and more particularly, to an automatic production monitoring method based on big data and block chain. Background technique [0002] At present, a pair of women's shoes, men's shoes, or a pair of sports shoes, work shoes or other functional shoes, from material cutting to preparation, to upper sewing, to the final finished shoes, need to go through dozens or even hundreds of processes and Hundreds of people operate. And the operation status of each process and each employee may affect the production progress of the product and the quality of the product. Therefore, it is very important for department managers or enterprise managers to grasp the operation status and quality status of each product and each process in a timely, accurate and comprehensive manner. [0003] Traditional shoe-making enterprises refer to the division of departments according to the process, that is, the op...

AI Technical Summary

Problems solved by technology

[0003] Traditional shoe-making enterprises refer to the division of departments according to the process, that is, the establishment of operation management departments according to the processes of cutting, preparation, sewing, bottom adding, upper spraying and dyeing, and molding. Operation will lead to uneven coloring of the upper and an increase in the defect rate, so the demand for automated production monitoring will become more and more stringent;

[0004] However, the existing automated production monitoring methods are difficult to formulate corresponding processing plans according to the size and type of shoes, and it is difficult to monitor the processing quality in real time, and the dyes are prone to generate air bubbles during the mixing process, which is not convenient for the elimination of air bubbles. Affects the coloring effect of the upper, and it is not easy to eliminate excess dye at the nozzle

Images