摘要
针对管道超高清漏磁内检测海量数据不宜于存储和分析的问题,提出一种基于组合滤波的超高清漏磁内检测数据特征无损压缩方法。根据信号特征将漏磁内检测数据分为正常数据、小特征数据、大特征数据3种类型,并对不同类型数据设计相应的滤波算法进行滤波,实现对超高清漏磁内检测数据的组合滤波。正常数据采用高压缩比的旋转门算法进行压缩,小特征数据和大特征数据采用速度较快的Lempel Zip4(LZ4)无损压缩算法进行压缩。结果表明:与普通分段压缩方法相比,基于组合滤波的特征无损压缩方法在提高压缩比的同时平滑了正常数据,增强了特征数据的信号特征,可为超高清漏磁内检测数据的压缩提供借鉴。
In order to solve the problem that the massive data of Ultra-High-Definition(UHD)Magnetic Flux Leakage(MFL)in-line inspection of pipeline is not suitable for storage and analysis,a feature lossless compression method of UHD MFL inline inspection data based on the combined filtering was proposed.According to the signal characteristics,the MFL in-line inspection data was divided into three types,i.e.normal data,small feature data and large feature data,and appropriate filtering algorithms were designed for different types of data,so as to realize the combined filtering of UHD MFL in-line inspection data.Specifically,the normal data were compressed using the Spanning Door Algorithm with high compression ratio,while the small feature data and the large feature data were compressed using the Lempel Zip4(LZ4)lossless compression algorithm with high speed.The results show that the proposed method could smooth the normal data while improve the compression ratio in comparison with the ordinary segmental compression,as well as enhance the signal characteristics of the feature data,which could provide a reference for the compression of UHD MFL in-line inspection data.
作者
王书怡
富宽
王亚楠
马江涛
郑健峰
WANG Shuyi;FU Kuan;WANG Ya'nan;MA Jiangtao;ZHENG Jianfeng(Faculty of Science,Agriculture and Engineering,University of Newcastle upon Tyne;PipeChina Institute of Science and Technology;PipeChina North Pipeline Company)
出处
《油气储运》
CAS
北大核心
2023年第3期306-312,共7页
Oil & Gas Storage and Transportation
基金
国家重点研发计划资助项目“中俄管道重大风险防控与安全保障关键技术”,2022YFC3070100
国家管网集团公司揭榜挂帅项目“高钢级管道缺陷检测评价技术研究”,WZXGL202104。
关键词
漏磁内检测
组合滤波
分段压缩
特征无损压缩
magnetic flux leakage in-line inspection
combined filtering
segmental compression
feature lossless compression
