The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 07, 2025

Filed:

Jun. 23, 2022
Applicant:

China University of Mining and Technology, Jiangsu, CN;

Inventors:

Wei Dai, Jiangsu, CN;

Lanhao Wang, Jiangsu, CN;

Liang Dong, Jiangsu, CN;

Mengjie Hu, Jiangsu, CN;

Guanghui Wang, Jiangsu, CN;

Jing Nan, Jiangsu, CN;

Langlong Ji, Jiangsu, CN;

Yanshuang Ao, Jiangsu, CN;

Dianhui Wang, Jiangsu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/045 (2023.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/027 (2013.01); G06N 3/045 (2023.01);
Abstract

Provided is an industrial process soft sensor method based on a federated stochastic configuration network, including: acquiring historical industrial process auxiliary data and corresponding product quality data; finding out optimal hidden layer parameters; processing, by a central server, to obtain global parameters, and downloading same to each factory as hidden layer parameters for a local model; obtaining output weights of a current network through an optimization algorithm, and uploading same to the server for weighted aggregation; and when the number of hidden layer nodes in a current network exceeds a maximum given value or a residual in current iteration meets an expected tolerance, completing modeling to obtain the global federated stochastic configuration network without adding new nodes. The present disclosure effectively improves prediction performance of models and protects data privacy, thus meeting industrial process soft sensor requirements.


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