Research on Method for Compressing Historical Data Based on Wavelet Networks

A compression algorithm based on wavelet networks for historical data in process control system is developed in this paper. The implementation and computation process of the algorithm are described in detail. The simulation results show that the algorithm has the advantage of high convergence rate and compression ratio once applied to the compression and decompression process of pressure signals from a paper mill. We draw the conclusion that it is feasible to apply wavelet networks to signal processing in process control system