An Intelligent Spinning Management System

Abstract

The invention provides an intelligent spun yarn management system, which includes a yarn quality detection mechanism, an equipment operation detection mechanism, a fault detection mechanism, an information collection and processing mechanism, an information terminal display mechanism and an equipment operation control mechanism. The information collection and processing mechanism collects and processes the data detected by the yarn quality detection mechanism, equipment operation detection mechanism and fault detection mechanism to obtain the indication signal of the spinning equipment, so as to realize the highly intelligent management of spinning and the operating parameters of the spinning equipment continuous optimization. The fault detection mechanism detects whether yarn breakage and fault occur through sensors, and by marking the position of the spinning unit where each sensor is located, the synchronization and fixed-point detection of yarn breakage or equipment failure are realized, which significantly improves spinning efficiency and yarn line quality.

Description

technical field [0001] The invention belongs to the technical field of spinning, and in particular relates to an intelligent spinning management system. Background technique [0002] The spinning process is to spin the roving into a spun yarn with a certain linear density and in line with the national quality target through drafting, twisting and forming winding, for twisting, weaving or knitting. The output and yarn quality of spun yarn are important indicators to reflect the management level and production capacity of a spinning mill, and are also key indicators to measure the production efficiency of a spinning mill. And cloth noodle shadow and flat. Therefore, the degree of automation and intelligence of the spinning frame has a decisive impact on the output, quality and labor intensity of the textile enterprises. In the spinning process, when the structure and quality of the spinning equipment are determined, the key factor affecting the quality and efficiency of the ...

AI Technical Summary

Problems solved by technology

The existing technology monitors the occurrence of yarn breakage in real time through the online monitoring system for yarn breakage. However, due to the large number of spinning units involved in the spinning process, it is still difficult to synchronize and monitor and warn the units where yarn breakage occurs.

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