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作 者:刘宇浓 严杏初 朱天宇 张成[3] LIU Yunong;YAN Xingchu;ZHU Tianyu;ZHANG Gheng(Guangdong Energy Group Co.,Ltd.,Shajiao C Power Plant,Dongguan 523936,China;Wuhan Huazhong Sinang Technology Co.,Ltd.,Wuhan 430074,China;School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
机构地区:[1]广东省能源集团有限公司沙角C电厂,广东东莞523936 [2]武汉华中思能科技有限公司,湖北武汉430074 [3]华中科技大学能源与动力工程学院,湖北武汉430074
出 处:《中国高新科技》2024年第3期93-95,共3页
摘 要:随着电力市场环境日益严苛及机组运行条件的不断调整,火电厂原有的小指标管理体系已不适应于当前评估运行值的实际贡献,无法全方面地促进值际竞争。文章运用数据挖掘与分析技术,实现小指标的实时统计分析,基于各值运行排班表实现全过程日、月、年度数据链分析。并建立基于优秀案例的评估体系,建立小指标评价模型,有助与促进值际间良性竞争,以促进指标优质化,达到机组运行的安全、环保、经济。With the increasingly harsh electricity market environment and the continuous adjustment of unit operating conditions,the original small indicator management system of thermal power plants is no longer suitable for the actual contribution of current evaluation of operating values,and cannot comprehensively promote inter value competition.This article uses data mining and analysis techniques to achieve real-time statistical analysis of small indicators,and implements daily,monthly,and annual data chain analysis of the entire process based on the operation schedule of each value.And establishing an evaluation system based on excellent cases and a small indicator evaluation model can help promote healthy competition between values,promote high-quality indicators,and achieve safety,environmental protection,and economic operation of the unit.
分 类 号:TM611[电气工程—电力系统及自动化]
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