Abstract
With the development of smart grid, mass data collected in real time for equipment monitoring requires higher performance of data store. Hence, a storage system based on cloud platform for smart grid equipment monitoring is designed and achieved. Aiming at electric power monitoring data, this paper designs an improved PI revolving door compression algorithm, which improves the performance of data transmission and storage. Related experiments show the effectiveness of the algorithm. The storage system meets the requirements of real-time, mass, high reliability and high performance of data store in smart grid.
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