Water control method for loosening and conditioning process based on neural network model and double parameter correction

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United States of America

PATENT NO 12262728
APP PUB NO 20230067754A1
SERIAL NO

17875399

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Abstract

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Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.

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Patent Owner(s)

Patent OwnerAddress
ZHANGJIAKOU CIGARETTE FACTORY CO LTD075000 NO 9 DIAMOND ROAD NORTH QIAODONG DISTRICT HEBEI ZHANGJIAKOU ZHANGJIAKOU CITY HEBEI PROVINCE 075000

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Jiaojiao Hebei, CN 4 0
Fang, Ting Hebei, CN 33 45
Feng, Zixian Hebei, CN 4 0
Gao, Yang Hebei, CN 446 6138
Guo, Jichao Hebei, CN 2 0
Jia, Xiaohui Hebei, CN 7 6
Li, Suyan Hebei, CN 1 0
Li, Zijuan Hebei, CN 16 13
Liu, Bo Hebei, CN 672 3701
Ma, Yanling Hebei, CN 2 0
Ma, Yanshu Hebei, CN 3 0
Miao, Wangchang Hebei, CN 4 0
Su, Qiao Hebei, CN 3 1
Sun, Shuo Hebei, CN 16 30
Wu, Tingting Hebei, CN 43 34
Yang, Huixia Hebei, CN 1 0
Zhang, Qifeng Hebei, CN 10 47
Zhao, Haiyang Hebei, CN 4 4
Zhao, Liyuan Hebei, CN 7 3
Zhou, Zheng Hebei, CN 123 520

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