标题:Reseach on the GPRS Remote Data Compression and Transmission technology for Structure Healthy Monitoring
作者:Zhang, Bin; Wang, Zhengfang; Wang, Jing; Sui, Qingmei; Cao, Yuqiang; Li, Yijia; Wang, Hanpeng; Zhao, Zhen
通讯作者:Wang, ZF;Wang, J
作者机构:[Zhang, Bin; Wang, Zhengfang; Wang, Jing; Sui, Qingmei; Cao, Yuqiang; Li, Yijia] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R Chi 更多
会议名称:Chinese Automation Congress (CAC)
会议日期:OCT 20-22, 2017
来源:2017 CHINESE AUTOMATION CONGRESS (CAC)
出版年:2017
页码:3193-3196
关键词:structure healthy monitoring; data compression algorithms; LZW; GPRS
摘要:As the demand for structure healthy monitoring of civil engineering continues to grow at an unprecedented pace, the need for real time remote data compression and transmission systems becomes more prominent. In this paper, aiming at the problem of massive data transmission in the safety monitoring systems of the civil engineering applications, the GPRS wireless transmission terminal is designed to remotely send the data collected by multiple monitoring systems. In addition, a LZW (Lempel Ziv Welch) lossless data compression been detailed and then utilized to compress the The results show that the LZW algorithm algorithm has collected data. is capable of compressing the data effectively without losing any important data. The data compression efficiency of the LZW algorithm is about 10%, which is 7% lower than that of the traditional Huffman algorithm. Moreover, the compression and decompression time of the LZW algorithm is approximate 10ms, which is about 1110 times faster than the traditional Huffman algorithm. Finally, the optimal data points for the underground oil and gas reservoir safety monitoring system have been determined. The result demonstrate that extracting 1000 data points at each step can effectively balance the sampling intervals and the data volume to he sent.
收录类别:CPCI-S
资源类型:会议论文
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