An Improved Method for Compressing Time Series Data of Dissolved Gas Monitoring in Oil

doi:10.3969/j.issn.1000－7229.2017.05.013

Abstract

Abstract: In order to improve the monitoring data analysis and transmission efficiency of dissolved gases in oil, this paper proposes a improved compression storage method for time series data. Firstly, we distinguish the data types of state and analog, and create two-dimensional table with different data columns. Secondly, combining the spinning door transformation algorithm and Huffman compress algorithm, we create a data interval index to achieve data compression and storage. The measured results show that the proposed method can not only meet the requirements of efficient compression and storage data for time series, but also develop the large data analysis and cross system applications based on the improved data reading and transmission effect.

Key words: dissolved gas in oil, time series data, spinning door transformation algorithm, Huffman compress algorithm

CLC Number:

TM 85

ZHANG Wei，WANG Yingjie，WU Rongrong. An Improved Method for Compressing Time Series Data of Dissolved Gas Monitoring in Oil

[J]. Electric Power Construction, 2017, 38(5): 98-.

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