摘要
随着电力企业规模的持续扩大,发电企业每天都会产生各种结构的海量数据,传统的数据架构己经无法满足高效低成本的数据存储以及处理。结合大唐国际重庆分公司数据管理的现状,从公司业务特点和实际需求出发,设计了基于CIM模型的水电数据分析平台,详细分析了平台的总体架构、功能设计及典型应用。
With the continuous expansion of the scale of power enterprises,power generation enterprises will produce a large number of various structures of data every day, the traditional data structure has been unable to meet the efficient and low-cost data storage and processing. According to the present situation of Datang international Chongqing branch of data management and the company~ business characteristics and the actual needs of the company, a hydropower data analysis platform based on the CIM model is designed, and the overall architecture, function design and typical application of the platform are analyzed in detail.
出处
《电力大数据》
2017年第12期27-29,7,共4页
Power Systems and Big Data
关键词
CIM
大数据
数据交换
短期负荷预测
Common information model
big data
data exchange
short-term load forecasting