广东电力2025，Vol.38Issue(3)：1-7,7.DOI:10.3969/j.issn.1007-290X.2025.03.001
基于大数据与先进AI模型的智慧电除尘运行系统构建与应用
Construction and Application of Intelligent Electrostatic Precipitator Operation System Based on Big Data and Advanced AI Models
摘要
Abstract
In order to improve the reliability of closed-loop control of electrostatic precipitator,solve the problem of insufficient manual adjustment accuracy,and further compress ineffective energy consumption,this paper proposes to construct the intelligent electrostatic precipitator operation system to answer the dilemma of energy conservation of low load electrostatic precipitator of the coal-fired unit.Based on the historical operation data of the electrostatic precipitator and the advanced AI model,the paper proposes to construct the intelligent electrostatic precipitator operation system which adopts a plug-in layout,and the system architecture is divided into five levels.Key models such as flue gas and dust prediction model and operation parameter optimization model are established.By using conventional parameters such as flue gas temperature,flue gas and dust concentration,and unit load as input factors,the flue gas and dust concentration emitted by the electrostatic precipitator is predicted.Then,the operating parameters are adjusted in reverse to achieve maximum smoke and dust emissions and optimal energy consumption.The intelligent operation system has been implemented on the electric dust collector of a 1 000 MW level unit.Through real-time data adjustment and optimization adaptation of model parameters,the system runs stably.Under the premise of meeting the smoke concentration index in all test conditions,the energy-saving rates of the high and low load electric dust collectors of unit 1 are 28.46％and 43.54％,respectively,and the energy-saving rates of the high and low load electric dust collectors of unit 2 are 27.62％and 30.77％,respectively.The project renovation has achieved the expected results.关键词
电除尘器/智慧运行/节能/系统架构/模型Key words
electrostatic precipitator/smart operation/energy conservation/system architecture/model分类
动力与电气工程引用本文复制引用
高为飞,徐勇峰,张小亮,李二欣,韦飞,胡天啸..基于大数据与先进AI模型的智慧电除尘运行系统构建与应用[J].广东电力,2025,38(3):1-7,7.基金项目
国家能源集团江西电力有限公司科技项目(FC-23-KJ-03) （FC-23-KJ-03）
