摘要
针对长距铁磁性油气管道在线缺陷检测所产生的庞大数据量问题,提出一种管道漏磁检测实时数据压缩算法.在实时压缩和提升小波编码的基础上,设计了一种基于双缓冲区模型的实时数据采集、压缩、存储系统.通过分析管道漏磁数据的特点,提出一种以整数提升小波变换、结合自适应算术编码为核心的无损压缩算法,无损压缩比可达9.166∶1.实验结果表明,该算法在基于PC104总线采集卡的硬件模拟实验环境下具有一定的可行性,并能满足实际系统采集速度、存储速度以及压缩比的要求.
Aiming at the problem of the huge amount of data generated in the online defect detection of the long-distance ferromagnetic oil gas pipeline,an algorithm of pipeline magnetic flux leakage detection realtime data compression was presented.A realtime data collection,compression and storage system with dual buffer model was designed on the basis of realtime compressing and lifting wavelet coding.Through analyzing the features of pipeline magnetic flux leakage data,the lossless compression algorithm with the i...
出处
《沈阳工业大学学报》
EI
CAS
2010年第6期660-664,698,共6页
Journal of Shenyang University of Technology
基金
国家自然科学基金仪表专项基金资助项目(60927004)
关键词
整数提升小波变换
自适应算术编码
双缓冲区
管道检测
无损压缩
漏磁
缺陷数据
小波编码
integral lifting wavelet transform
adaptive arithmetic coding
dual buffer
pipeline detection
lossless compression
magnetic flux leakage
defect data
wavelet coding
