声波测井数据压缩算法的研究与实现
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摘要
声波测井会产生庞大的数据量,当测井电缆数据传输速率较低而无法满足实时传输要求时,可采用存储式仪器对这些数据进行井下存储;为了减小仪器的存储压力,需要对数据进行压缩处理,为了提高压缩比从而增大数据存储量,文中在经典的LZW压缩算法基础上,进一步提出一种基于MED预测的LZW数据压缩系统,并采用OK6410微处理器及Linux操作平台,完整实现该系统对声波测井数据的压缩、存储、传输以及数据解压恢复功能;系统测试和实验结果表明,该系统的数据压缩比达到30%,可实现数据的无损压缩,系统性能稳定可靠,因此基于MED预测的LZW数据压缩系统及其实现方法可在声波测井仪中进行推广应用。
Acoustic logging commonly produces a large amount of data,which results in the difficulty of real —time data transmission when the transmission rate of logging cable is low.In this case the data can be stored down—hole by using logging instrument of storage type,and acoustic data need to be compressed for the reason of reducing storage pressure of logging instrument.This paper presents a set of data compression system using LZW algorithm integrating with MED prediction with the aim of further promoting data compression ratio in order to expand the data storage amount.The proposed system was implemented on OK6410 microprocessor and Linux operating platform,which totally realized the functions of acoustic logging data compression,data storage,data transmission and data decompression.The test and experimental results prove that the data compression ratio of our presented system can be up to 30%with the lossless function,which can be applied in acoustic logging tools with stable and reliable performance.
Acoustic logging commonly produces a large amount of data,which results in the difficulty of real —time data transmission when the transmission rate of logging cable is low.In this case the data can be stored down—hole by using logging instrument of storage type,and acoustic data need to be compressed for the reason of reducing storage pressure of logging instrument.This paper presents a set of data compression system using LZW algorithm integrating with MED prediction with the aim of further promoting data compression ratio in order to expand the data storage amount.The proposed system was implemented on OK6410 microprocessor and Linux operating platform,which totally realized the functions of acoustic logging data compression,data storage,data transmission and data decompression.The test and experimental results prove that the data compression ratio of our presented system can be up to 30%with the lossless function,which can be applied in acoustic logging tools with stable and reliable performance.
引文
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[2]伍俭.基于ARM的网络视频监控系统的研究与设计[D].长沙:中南大学,2010.
[3]KarimYabmour.构建嵌入式linux系统[M].北京:中国电力出版社,2004.
[4]Weinberger M J,Seroussi G.The LOCO-1 lossless image compression algirithm;Principles and standardization into JPEGS[J].IEEE Trans.Image Processing,2000,9(8):1309-1324.
[5]Weinberger M J,Seroussi G,Sapiro G.LOCO-I:a low complexity,context-based,lossless image compression algorithm[A].//Snowbird,UT:The 6th IEEE Data Compression Conference[C].1996.
[6]许霞,马光思,鱼涛.LZW无损压缩算法的研究与改进[J].计算机技术与展,2009,19(4):125-127.
[7]彭勇.一种改进的LZW编码数据压缩算法的设计与仿真[J].信息与电脑(理论版),2012(2):55-56.
[8]薛海强,苏森.一种带有断开恢复功能的Socket通信方法[J].北京:计算机应用研究,2005,22(10).
[9]钟阳.视频数据在网络中实时传输的研究与实现[D].天津:天津大学,2005.