多源异构的智能配用电数据存储处理技术

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Abstract A Hadoop-based management framework design is proposed for massive and multi-source isomerized data in smart power distribution and utilization. This framework consists of resource layer, storage layer and query layer, based on the data composition of smart power distribution and utilization. The resource layer uses Hadoop-cluster architecture. Combined with the characteristics of power system, the management of IT storage resource is completed. The storage layer firstly adopts XML technology framework to preprocess unstructured data aiming to normalize the isomerized data, and then the fast storage process of mass data can be done through the effective combination of Map and Reduce based on NoSQL. The query layer is able to fast achieve the searching of mass data through the implementation of Top-k technology. The proposed scheme can give a unified treatment to the storage and processing of structured and unstructured data, and provide a basic support for the application of big data technology for smart power distribution and utilization.

Key words： Big data massive data framework design smart power distribution and utilization

Received: 18 September 2015 Published: 18 August 2016

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	Ge Leijiao
	Wang Shouxiang
	Wang Yao
	Guo Naiwang

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Ge Leijiao,Wang Shouxiang,Wang Yao等. Storage and Processing Technology of the Multi-Source Isomerized Data for Smart Power Distribution and Utilization[J]. Transactions of China Electrotechnical Society, 2015, 30(增刊2): 159-168.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I增刊2/159

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