A cloud-edge collaboration-based fabric production whole-process intelligent management and control method

Abstract

This invention relates to the field of fabric production technology, and more particularly to an intelligent control method for the entire fabric production process based on cloud-edge collaboration. This method utilizes edge computing to collect coupled state data such as process parameters, environmental material composition, tension gradient, strength coefficient, and air permeability of each process zone in real time and uploads them to the cloud. The cloud, combining process stages and equipment aging status, identifies abnormal scenarios and constructs process collaboration risk data. Based on this, a collaborative control strategy is formulated, and an optimized strategy is generated and executed by marking the parameter set to be adjusted. Simultaneously, the edge computing provides feedback on the balance index after control, and the cloud evaluates each control node, defining non-compliant nodes as risk nodes and generating targeted risk adjustment strategies to update the edge rules. This invention achieves data-driven accurate anomaly identification, dynamic risk quantification, and closed-loop adaptive control, effectively solving the problems of lag and rigid strategies in traditional control, and significantly improving the quality stability and operational efficiency of fabric production.

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