Intelligent soft measurement method of slashing sizing percentage

Abstract

The invention relates to an intelligent soft measurement method of a slashing sizing percentage, and belongs to the technical field of automatic measurement. The method comprises steps as follows: according to composition analysis of a sizing mechanism and a slasher, auxiliary variables for soft measurement of the slashing sizing percentage are determined and comprise a slasher speed, pressure of a low-pressure sizing roller of the slasher, pressure of a high-pressure sizing roller of the slasher, concentration of size in a size box of the slasher and temperature of the size in the size box of the slasher; historical operating data of the slasher are collected, and a sample data set is established; a slashing sizing percentage soft measurement model is established, and a relation between the auxiliary variables and slashing sizing is obtained; and the slashing sizing percentage is calculated on line. According to the method, the slashing sizing percentage can be accurately calculated on line, the calculation speed and the accuracy are high, the online detection can be realized, and energy consumption and material consumption in the slashing production process can be reduced; the application range is wide, and online soft measurement of other quality indexes such as moisture regain, a elongation percentage and the like can be realized after a data source is appropriately modified; and the slashing production can conveniently share information with other links of cotton textile production, and references are provided for operations of other links.

Description

technical field [0001] The invention belongs to the technical field of automatic measurement, relates to the technical field of textile sizing production detection, in particular to an intelligent soft measurement method for sizing rate of sizing. Background technique [0002] The sizing process is a key process in textile production. The quality of sizing is directly related to warp yarn strength, hairiness and wear resistance, which in turn affects the efficiency of looms. The production process of sizing is complicated, and consumes a lot of raw materials and energy, so it is vividly called "Tiger's Mouth" in the industry. The indicators used to measure the sizing effect of warp yarn in the sizing process mainly include sizing rate, moisture regain rate, elongation rate, penetration rate, covering rate, size film integrity rate, etc., among which the sizing rate is a key quality indicator in the sizing production process. [0003] The existing online detection methods of...

AI Technical Summary

Problems solved by technology

The detection of sizing rate by near-infrared spectroscopy has the advantages of fast detection and non-destructive detection, but its disadvantage is that it is greatly affected by the environment, especially the water vapor in the sizing production site has a great influence on the detection results

Although the above three detection methods can realize the detection of sizing rate, due to their own shortcomings, it is difficult to meet the requirements of fierce competition in product quality and production efficiency in today's textile industry

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