电力大数据解读及其在检修中的应用  

Power Big Data Interpretation and Application in Maintenance

作　　者：颜楠楠[1] 俞国勤[2] 雷兴[1] 徐楠[1] 倪伟[2] 彭勇[2] 

机构地区：[1]国网上海市电力公司检修公司,上海201204 [2]国网上海市电力公司,上海200438

出　　处：《电力与能源》2017年第4期375-378,共4页Power & Energy

摘　　要：大数据为企业的运营管理注入了新的活力,是企业转型与服务升级的决策支撑。在讨论大数据、电力大数据及其特点的基础上,解读电力大数据在提高产品质量、提升生产效率的意义。从精益要求、柔性要求、绿色要求、云计算和人工智能5个方面讨论了电力大数据的优势,并提出电力大数据在数据的流动性、再利用、可视化上遇到的困难。结合检修工作的实际需要,提出大数据在设备管理、状态评价、监控报警和决策支持4大方向的应用需求。Big data inject new vitality for the enterprise management and support the firms＇ transformation and upgrading. Based on the definition of big data, power big data and its characteristics, this paper also points out the significance of big data in improving product quality and production efficiency. The advantages of power big data have been discussed from？ lean requirements, flexible demands, green, cloud computing and artificial intelligence, five aspects, and the difficulties in data liquidity, reuse and visual have been put forward. Considering the practical requirements of maintenance, the application of power big data has been discussed in equipment management, condition evaluation, monitoring, alarm and decision support.

关 键 词：大数据 电力大数据 智能电网 状态检修 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TM63[自动化与计算机技术—计算机科学与技术]