US 11,853,019 B1
Intelligent control of spunlace production line using classification of current production state of real-time production line data
Xiaohui Shi, Jinan (CN); Zhenwu Ma, Jinan (CN); Tengfei Ma, Jinan (CN); Shizhao Peng, Jinan (CN); Ke Shi, Jinan (CN); Dongpeng Song, Jinan (CN); Yijun Liu, Jinan (CN); and Wei Wang, Jinan (CN)
Assigned to Jinan Winson New Materials Technology Co., Ltd., Jinan (CN)
Filed by Jinan Winson New Materials Technology Co., Ltd., Jinan (CN)
Filed on Dec. 22, 2022, as Appl. No. 18/145,696.
Claims priority of application No. 202211063196.X (CN), filed on Aug. 31, 2022.
Int. Cl. G05B 13/04 (2006.01); A61F 13/15 (2006.01); G05B 19/418 (2006.01); B32B 5/06 (2006.01)
CPC G05B 13/042 (2013.01) [G05B 13/048 (2013.01); A61F 2013/15821 (2013.01); A61F 2013/15983 (2013.01); B32B 5/067 (2021.05); G05B 19/418 (2013.01); G05B 2219/21002 (2013.01)] 7 Claims
OG exemplary drawing
 
1. An intelligent control system of a spunlace production line implemented in a computer system using a set of computer-executable instructions, comprising:
a data acquiring module used for acquiring and storing real-time production line data; wherein the real-time production line data comprises cotton feeding roller values, real-time moisture values, real-time speed values and real-time gram weight values;
a data process module used for classifying and controlling the real-time production line data, and giving adjustment opinions of cotton feeding roller parameters; and
a parameter control module used for verifying parameter adjustment opinions and applying the parameter adjustment opinions to the intelligent control system,
wherein the data acquiring module, the data processing module and the parameter control module are connected in sequence;
wherein the data processing module comprises:
a classifying unit used for predicting a probability of exceeding a gram weight threshold in future through a classifying model;
a control unit used for setting up an automatic control closed loop and giving the adjustment opinions of cotton feeding roller parameters; the classifying model is used for classifying according to the real-time production line data to obtain current production states and classification results; defining label types for the classification results, and judging whether an adjustment operation is needed or not according to the classification results; wherein if the adjustment operation is needed, the classification results are input into the control unit for a further processing, and if the adjustment operation is not needed, new data is continuously re-input.