基于DFT的油井数据有损压缩算法

针对油井数据无线传输中存在的冗余问题,提出了一种基于离散傅里叶变换(DFT)的有损压缩算法. 该算法通过加入循环前缀和后缀的方法降低了截断效应的影响,通过时域加窗处理,降低了频谱的泄露和向高频的扩散. 同时针对不同性能处理器给出了不同的压缩和解压缩方法. 数据验证和现场实验表明该算法压缩率可以达到5%~20%,大大降低了网络传输延时和节点传输功耗. 

A Lossy Compression Algorithm Based on DFT for Working Parameters of Oil Well

A lossy compression algorithm based on discrete Fourier transform was proposed, which was designed to reduce working parameters redundancies of oil well. The influence of truncation effect was attenuated by adding cyclic prefix and postfix instead of filling zero at the end of the sequence. The spectrum leakage and spectrum spreading, which was harmful for the data compression, was decreased significantly by adding windows in time domain. Details on compression and decompression methods for both high performance and low performance processors were all proposed. As demonstrated by our simulation and experiments, the compression ratio of this algorithm is about 5%~20%, this beneficial will reduce the wireless network transfer delay and power consumption.