Data Compression Method Based on Operation Condition Identification
Dong JY(董静雅)1,4,5; Fu DZ(付殿峥)4,5; Zheng ZY(郑泽宇)4,5; Liu Z(刘智)1,4,5; Gao Y(高原)1,4,5; Gui J(桂珺)1,4,5
2020
会议日期June 12-13, 2020
会议地点Istanbul, Turkey
关键词data compression data storage operation condition identification time series
英文摘要In response to the requirement of a large amount of historical data storage and the difficulty of data analysis and visualization in the industrial equipment data acquisition system, a data compression method based on operation condition identification is proposed in this paper. The method firstly sets the dead zone limit value for each dimensional time series according to the change of multi-dimensional time series data collected from industrial equipment; then, on the grounds of whether each piece of data meets the dead zone limit, collecting equipment operation condition information and marking operation condition labels; finally, based on the operation condition label, the data is compressed into a data matrix composed of time and operation condition information. Our storage method has good universality and realizes efficient data storage by reducing the dimension of historical data.
产权排序1
会议录2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-7116-6
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/27714]  
专题沈阳自动化研究所_数字工厂研究室
通讯作者Dong JY(董静雅)
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Department of Digital Factory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
6.Department of Digital Factory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Dong JY,Fu DZ,Zheng ZY,et al. Data Compression Method Based on Operation Condition Identification[C]. 见:. Istanbul, Turkey. June 12-13, 2020.
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