热网异常工况的辨识  

Identification of Abnormal Working Conditions of Heating Network

作　　者：孙春华[1] 钟健 曹姗姗 夏国强[1] 吴向东 SUN Chunhua;ZHONG Jian;CAO Shanshan;XIA Guoqiang;WU Xiangdong

机构地区：[1]河北工业大学能源与环境工程学院,天津300401 [2]河北工大科雅能源科技股份有限公司,河北石家庄050000

出　　处：《煤气与热力》2022年第4期6-9,共4页Gas & Heat

基　　金：河北省科技重大专项项目(20284501Z)。

摘　　要：基于决策树、聚类算法及支持向量机等方法,结合专家知识进行热网异常工况的辨识方法研究。介绍辨识流程。结合工程实例,对某热网异常工况的辨识过程进行分析,异常工况辨识方法有效。Based on decision tree,clustering algorithm and support vector machine,combined with expert knowledge,the identification method of abnormal working conditions of heating network is studied.The identification process is introduced.Combined with engineering examples,the process of identifying abnormal working conditions of a heating network is analyzed,and the method of identifying abnormal working conditions is effective.

关 键 词：热网 异常工况辨识 热力站停站 热源异常 

分 类 号：F406.2[经济管理—产业经济]