电测与仪表Issue(15)：100-104,5.
油气管道缺陷漏磁检测数据压缩算法研究
Research on Data Compression Algorithm of MFL Detection for Oil and Gas Pipelines
摘要
Abstract
Considering the massive original data together with limited data storing space and processing speed , it is quite necessary to study a fast, efficient and diagnostically lossless compression algorithm for magnetic flux leakage (MFL) detection.The special requirements of data compression in MFL detection has been analyzed , and a segmented self -a-daptive compression algorithm has been proposed considering the characteristics of the obtained testing data .The MFL data is divided into different segments and recognized .Different compression methods are adopted for different data seg -ments, and the compression ratio and distortion factor will be adjusted by varying the section length and the compression threshold.The MFL detection data of test pipelines with artificial defects are compressed .The results of experiment show that the algorithm will hold high compression ratio while keeping low distortion factor .The algorithm could meet requirements of efficiency , quality and complexity to compress massive MFL data fast and efficiently .关键词
数据压缩/漏磁检测/油气管道Key words
data compression/magnetic flux leakage (MFL) detection/oil and gas pipelines分类
信息技术与安全科学引用本文复制引用
陈俊杰,黄松岭,赵伟..油气管道缺陷漏磁检测数据压缩算法研究[J].电测与仪表,2014,(15):100-104,5.基金项目
国家自然科学基金资助项目（51277101）、国家863重大课题（2011AA090301）和国家重大科学仪器设备开发专项资助 （）
