电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2014年
15期
100-104
,共5页
数据压缩%漏磁检测%油气管道
數據壓縮%漏磁檢測%油氣管道
수거압축%루자검측%유기관도
data compression%magnetic flux leakage (MFL) detection%oil and gas pipelines
油气管道缺陷漏磁检测所获取的原始数据量很大,而检测器的数据存储容量和处理速度均有限,因此有必要研究快速、高效的缺陷漏磁检测数据压缩算法。文中分析了油气管道缺陷漏磁检测对数据压缩的特殊要求,针对所获得检测数据的特征,提出了一种分段自适应压缩算法。该算法对油气管道缺陷漏磁检测数据进行分段划分并加以识别,针对不同类别的数据段采用不同的压缩方法,且通过改变数据分段的长度和压缩阈值,可调整检测数据的压缩比和压缩失真度。对试验用管道上人工缺陷的漏磁检测数据进行了压缩,结果显示,该算法可在保持较低数据失真度的同时,获得足够高的数据压缩比;压缩效率、压缩质量和复杂度等,均可满足油气管道缺陷漏磁检测对大量数据进行快速、高效压缩的需求。
油氣管道缺陷漏磁檢測所穫取的原始數據量很大,而檢測器的數據存儲容量和處理速度均有限,因此有必要研究快速、高效的缺陷漏磁檢測數據壓縮算法。文中分析瞭油氣管道缺陷漏磁檢測對數據壓縮的特殊要求,針對所穫得檢測數據的特徵,提齣瞭一種分段自適應壓縮算法。該算法對油氣管道缺陷漏磁檢測數據進行分段劃分併加以識彆,針對不同類彆的數據段採用不同的壓縮方法,且通過改變數據分段的長度和壓縮閾值,可調整檢測數據的壓縮比和壓縮失真度。對試驗用管道上人工缺陷的漏磁檢測數據進行瞭壓縮,結果顯示,該算法可在保持較低數據失真度的同時,穫得足夠高的數據壓縮比;壓縮效率、壓縮質量和複雜度等,均可滿足油氣管道缺陷漏磁檢測對大量數據進行快速、高效壓縮的需求。
유기관도결함루자검측소획취적원시수거량흔대,이검측기적수거존저용량화처리속도균유한,인차유필요연구쾌속、고효적결함루자검측수거압축산법。문중분석료유기관도결함루자검측대수거압축적특수요구,침대소획득검측수거적특정,제출료일충분단자괄응압축산법。해산법대유기관도결함루자검측수거진행분단화분병가이식별,침대불동유별적수거단채용불동적압축방법,차통과개변수거분단적장도화압축역치,가조정검측수거적압축비화압축실진도。대시험용관도상인공결함적루자검측수거진행료압축,결과현시,해산법가재보지교저수거실진도적동시,획득족구고적수거압축비;압축효솔、압축질량화복잡도등,균가만족유기관도결함루자검측대대량수거진행쾌속、고효압축적수구。
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 .