数据融合技术在大板发电厂KPI考核中的应用  

Application of Data Fusion Technology in KPI Assessment of Daban Power Plant

作　　者：岳鑫鑫 翟倩茹 吴岩 胡永哲 张铁峰[1] Yue Xinxin;Zhai Qianru;Wu Yan;Hu Yongzhe;Zhang Tiefeng(Department of Electronic and Communication Engineering,North China Electric Power University,Baoding Inner Mongolia 071003,China;State Power Investment Corporation Inner Mongolia Energy Co.,Ltd.,Hohhot Inner Mongolia 010010,China;Inner Mongolia Daban Power Generation Co.,Ltd.,Chifeng Inner Mongolia 025150,China)

机构地区：[1]华北电力大学电子与通信工程系,河北保定071003 [2]国家电投集团内蒙古能源有限公司,内蒙古呼和浩特010010 [3]内蒙古大板发电有限责任公司,内蒙古赤峰025150

出　　处：《现代工业经济和信息化》2024年第4期131-136,147,共7页Modern Industrial Economy and Informationization

摘　　要：针对大板发电厂数据散落、数据冗余、数据难交换、数据质量不高等问题,研究了相关的数据融合技术,以数据的生命周期为切入点,设计了发电厂关键指标数据融合架构。发电厂关键指标数据融合架构主要通过接入多个已有业务系统共享数据,通过数据引接、数据清洗、数据集合、数据融合四个步骤处理数据之后,创建发电厂关键绩效指标管理体系,使对象在企业层面能够达成共同理解,从而支持厂级场景应用,通过大板发电厂绩效考核指标的可视化应用验证了融合方案的可行性。To solve the problems of scattered,redundant,and difficult to exchange data in Daban Power Plant,relevant data fusion technologies were studied,and a key performance indicators data fusion architecture for power plants was designed based on the lifecycle of data.The data fusion architecture for key performance indicators of power plants mainly involves accessing multiple existing business systems to share data.After processing the data through four steps:data access,data cleaning,data collection,and data fusion,a key performance indicator management system for power plants is created,enabling objects to reach a common understanding at the enterprise level,thereby supporting plant level scenario applications,the feasibility of the fusion scheme was verified through the visualization application of key performance indicators in the Daban Power Plant.

关 键 词：数字电厂 数据融合 关键绩效指标 数据共享 

分 类 号：F272.92[经济管理—企业管理] F426.61[经济管理—国民经济]