###
DOI:
电力大数据:2020,23(02):-
本文二维码信息
面向电力物联网的电力大数据应用
王海洋
(国网冀北承德供电公司)
Power Big Data Application Oriented to Power Internet of Things
wang haiyang
(State Grid Chengde Power Supply Company)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1025次   下载 37
投稿时间:2019-06-04    修订日期:2019-12-11
中文摘要: 为保证电网系统安全稳定运行,加强国网公司精细化管理水平,以电力大数据为代表的新一代IT技术在电力物联网领域中的应用,可以有效地解决数据采集、存储与处理等问题,并在海量电力数据中深度挖掘出有潜在利用价值的信息。本文分析了电力物联网中电力大数据的特点和发展趋势,介绍了Apriori算法在处理海量电力大数据中的显著优势,通过利用Apriori算法来处理大数据在电力物联网中的典型应用,优化各级电网控制,构建结构扁平化、功能模块化、系统组态化的柔性体系结构,全面提高电网生产、运行、调度、管理的自动化水平,使系统稳定运行在最佳状态,从而提升了数据挖掘、管理和交互共享操作水平,进而提高了生产作业的效率和管理预测能力,为公司进一步决策部署提供强有力的数据技术支撑。
Abstract:In order to ensure the safe and stable operation of the power grid system and strengthen the fine management level of the State Grid Corporation, the application of the new generation IT technology in the field of the Internet of Things, represented by the large power data, can effectively solve the problems of data acquisition, storage and processing, and excavate the potential value in the depth of the massive power data. Information. This paper analyses the characteristics and development trend of large power data in the power Internet of things, introduces the remarkable advantages of Apriori algorithm in dealing with large power data. By using Apriori algorithm to deal with the typical application of large data in the power Internet of things, optimizes grid control at all levels, and constructs a flat structure and functional modules. The flexible architecture of system configuration improves the automation level of production, operation, dispatch and management of power grid in an all-round way, and makes the system run steadily in the best state, thus improving the level of data mining, management and interactive sharing operation, and further improving the efficiency of production operations and the ability of management prediction, so as to make further decisions for the company. Policy deployment provides strong data technology support.
文章编号:     中图分类号:    文献标志码:
基金项目:
引用文本: