Operation Monitoring and Optimization of Industrial Boiler Based on Improved PCA

被引：0
|
作者：
Wang, Wenbiao [1 ]
Zhang, Qianqian [1 ]
Shi, Qiheng [1 ]
机构：
[1] Dalian Maritime Univ, Coll Marine Elect Engn, Dalian 116026, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
基金：
中国国家自然科学基金;
关键词：
industrial boiler; energy efficiency level; cross-segmented PCA; multi-mode; optimization;
D O I：
10.1109/CCDC58219.2023.10327024
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An operation monitoring and optimization method based on cross-segmented principal component analysis (PCA) is proposed to improve the energy efficiency level of industrial boilers. Firstly, the boiler operation data is divided into different modes according to the load using the modal identification values. Historical data with high thermal efficiency is chosen in each model to construct the principal component model. The operating condition of the boiler is monitored using the multi-mode cross-over method. Then, the boiler's operation condition is tested. When it deviates significantly from the high energy efficiency condition, contribution plots are used to determine the factors that lead to this condition. Finally, the operator is guided to carry out targeted operations to optimize the boiler operation process. The practical application in an industrial boiler shows that this method can effectively identify the boiler's operation condition, detect the specific factors, and significantly improve the energy efficiency level of the boiler.
引用
收藏
页码：3584 / 3588
页数：5
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