数据挖掘技术在锅炉中的运用  

The Applications of Data Mining in Boiler

作　　者：孙群丽[1] 谷俊杰[1] 李丽[2] 

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003 [2]中国地质大学长城学院,河北保定071000

出　　处：《锅炉技术》2014年第1期18-21,25,共5页Boiler Technology

摘　　要：随着我国电力工业的迅猛发展,电站信息的集成度将越来越高。海量的传感器数据和专家经验提供了大量反映机组运行状态的信息,利用数据挖掘方法对这些宝贵的信息资源进行加工与应用,必将对运行优化和提高机组的经济性、安全性、可靠性等都具有重要的现实意义。将数据挖掘理论与应用同电站运行优化相结合,将数据挖掘技术引入电站锅炉运行优化过程,提出了基于数据挖掘的电站锅炉运行优化新方法。利用电厂锅炉的实时数据找出当前工况运行参数的最优值,此最优值可以使锅炉的效率显著提高。同时把最优值反馈给机组运行人员,指导运行人员的操作。With the rapid development of the power industry in our country, the integration level of information in power plants will be higher and higher. Large quantity of information that reflects the condition of unit performance is provided by mass sensor data and the experi- ence of experts. Making use of the method of data mining to treat and apply these precious in- formation resource, will have the important and realistic meaning to operation optimization and economical efficiency, stability, reliability of the unit. So this paper proposed a new method based on data mining to optimizing operation. The new method combined pivotal data mining theory and power plant operation optimization and induced data mining technology to operation optimization process. Use the real-time data of bolier to determine optimal operation parame- ters, the optimal operation parameters can improve the boiler＇s efficiency. At the same time, the system feedback the optimal operation parameters to wokers, guide the wokers operation.

关 键 词：数据挖掘 运行优化 锅炉 关联规则 目标值 

分 类 号：TK229.6[动力工程及工程热物理—动力机械及工程]