Data Compression Method Based on Operation Condition Identification
Jingya Dong, Dianzheng Fu, Zeyu Zheng, Zhi Liu, Yuan Gao, Jun Gui · 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) · 2020
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.