大数据技术在燃煤电站发展中的应用研究  

Application of Big Data Technology in the Development of Coal-fired Power Station

作　　者：高学伟[1,2] 付忠广[2] 张连升 刘炳含 

机构地区：[1]沈阳工程学院辽宁省电站仿真控制重点实验室,辽宁沈阳110136 [2]华北电力大学电站设备状态监测与控制教育部重点实验室,北京102206 [3]国电康平发电有限公司运行部,辽宁沈阳110500

出　　处：《沈阳工程学院学报（自然科学版）》2018年第1期16-22,共7页Journal of Shenyang Institute of Engineering:Natural Science

摘　　要：通过对燃煤电站大数据的特征和应用模式进行了研究和总结,分析了大数据技术在燃煤火力发电厂中应用的动力和面临的挑战,提出电站大数据需要解决的关键技术难题,并以燃煤电站SCR脱硝系统大数据建模为例,介绍了大数据挖掘建模过程。The coal-fired power plantsare regarded as an important technical field of big data application.The big data characteristics and application mode ofcoal-fired power plants are summarized,and the motivation and the challenge of the application of big data technology in coal-fired power plantareexplored.The key technology of big data and the research focus at present stage are put forward,and the future development is prospected.Finally,taking the big data modeling of SCR denitrification system in coal-fired power station as an example,the modeling process of big data mining is introduced.

关 键 词：大数据技术 燃煤电站 应用模式 数据特征 

分 类 号：TM621[电气工程—电力系统及自动化]