燃气电厂智能监盘及辅助决策系统模型研究与开发  

Research and Development of Intelligent Monitoring and Auxiliary Decision System Model for Gas Power Plant

作　　者：宋海宾 SONG Haibin(Huadian Qingdao Power Co.,Ltd.,Qingdao,Shandong 266000,China)

机构地区：[1]华电青岛发电有限公司,山东青岛266000

出　　处：《自动化应用》2025年第7期241-243,247,共4页Automation Application

摘　　要：传统的电厂监盘系统存在监控数据庞杂、分析效率低下等问题,无法满足日益增长的电力需求。基于此,提出利用机器学习技术构建一种智能电厂监盘及辅助决策系统。通过机器学习算法对数据进行处理和分析,学习历史数据,建立数据模型,实现对异常数据的检测与预警。系统的建立适应电力行业的发展新方向,为推动智能监盘技术的广泛应用提供了借鉴。The traditional power plant monitoring system has problems such as complex monitoring data and low analysis efficiency,which cannot meet the growing demand for electricity.Based on this,a machine learning technology is proposed to construct an intelligent power plant monitoring and auxiliary decision system.By using machine learning algorithms to process and analyze data,learning historical data,establishing data models,and achieving detection and warning of abnormal data.The establishment of the system adapts to the new development direction of the power industry and provides reference for promoting the widespread application of intelligent monitoring technology.

关 键 词：智能监盘 智能预警 机器学习算法 

分 类 号：TM621[电气工程—电力系统及自动化]