能源工业互联网海量数据采集方法研究  

Research on Massive Data Collection Methods for Energy Industry Internet

作　　者：徐琳 贺铮 李行 任文辉 张昊 Xu Lin;He Zheng;Li Hang;Ren Wenhui;Zhang Hao(Zhongneng Integrated Smart Energy Technology Co.,Ltd.,Beijing 100013,China)

机构地区：[1]中能融合智慧科技有限公司,北京100013

出　　处：《电气自动化》2024年第5期88-90,94,共4页Electrical Automation

摘　　要：为解决能源工业互联网海量多源异构数据采集并发数量低、采集速度慢的问题,提出了一种能源工业互联网海量数据采集方法。首先,计及各类能源工业设备的数据结构、采集频次和采集策略等因素,设计可扩展的多源异构数据采集架构;其次,建立能源工业互联网采集控制策略,采用多时间尺度控制方法,实现多源异构能源数据的高速采集;在此基础上,对能源工业互联网采集数据进行质量评估;最后,在某城市应用所提方法,其采集准确率约为99.9%。结果表明:所提方法可实现多源异构能源数据协同采集,提高能源工业互联网的采集效率与准确性。To solve the problem of low concurrent quantity and slow collection speed of massive multi-source heterogeneous data collection in the energy industry internet,a method for massive data collection in the energy industry internet was proposed.Firstly,considering factors such as data structure,collection frequency,and collection strategy of various energy industry equipment,a scalable multi-source heterogeneous data collection architecture was designed;secondly,an internet collection and control strategy was established for the energy industry,using multi time scale control methods to achieve high-speed collection of heterogeneous energy data from multiple sources;on this basis,the quality of data collected from the energy industry internet was evaluated;finally,the application of the proposed method in a certain city,the collection accuracy rate was about 99.9%.The results show that the proposed method can achieve collaborative collection of multi-source heterogeneous energy data,improve the collection efficiency and accuracy of the energy industry internet.

关 键 词：能源工业互联网 海量数据 采集方法 多源异构 质量评估 

分 类 号：TM76[电气工程—电力系统及自动化]