自适应小波压缩算法在连续录波装置中应用

Application of adaptive wavelet data compression algorithm in continuous recorder

针对连续录波海量数据的存储和对称电力系统故障持续时间短的运行特点,基于Clark变换和小波变换提出了一种自适应录波数据压缩技术以解决连续录波中的海量数据存储与存储设备安全和容量之间的矛盾。根据小波变换最大比例系数区分出正常数据与故障数据,对故障数据利用小波分解和自适应阈值处理同Lz77相结合的方法直接进行自适应小波压缩存储,对于非故障数据则在Clark变换基础上再进行自适应小波压缩存储,以提高数据压缩效率。应用Simulink仿真模拟输电线路的正常和故障运行2种情况对所提出的压缩算法的有效性进行验证。仿真数据表明所提出的压缩方法比不进行数据区分压缩算法的压缩率更高,可有效地解决连续录波器中海量数据的存储与设备容量之间的矛盾。

As for the mass data of continuous recorder and the shorter fault lasting time in symmetric power system,an adaptive recorded data compression algorithm based on wavelet transform and Clark transform is proposed to store the mass data in limited storage of continuous recorder. The abnormal data are distinguished from the normal data with the maximum wavelet proportion coefficient. The abnormal data is compressed by a method combining wavelet decomposition,adaptive threshold processing and Lz77. The normal data is compressed by the adaptive threshold wavelet algorithm after the Clark transform to improve the compression ratio. The Simulink model is used to simulate the normal and abnormal states of transmission line to verify its validity. Simulation results suggest its higher compression rate.