1 July 2015 A comparative study for massive data compression in long-distance distributed optical fiber sensing systems
Author Affiliations +
Proceedings Volume 9655, Fifth Asia-Pacific Optical Sensors Conference; 96553M (2015) https://doi.org/10.1117/12.2184440
Event: Fifth Asia Pacific Optical Sensors Conference, 2015, Jeju, Korea, Republic of
Abstract
With the growing demand for monitoring length and channel number of the fully distributed optical fiber sensors (DOFSs), the amount of sensing data is increasing rapidly, and there will be a heavy pressure for the massive data storage and transmission. In this paper, two lossless compression algorithms of Lempel-Ziv-Welch (LZW) and Huffman are comparatively studied to effectively compress the huge amount of data of typical DOFSs, e.g. Φ -OTDR, POTDR, and BOTDA systems. The comparison results show that the LZW based on dictionary has a better performance in the consuming time and compression ratio for the DOFS data.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huijuan Wu, Huijuan Wu, Jun Liu, Jun Liu, Jiwei Xu, Jiwei Xu, Linqiang Zhang, Linqiang Zhang, Hanyu Li, Hanyu Li, Weili Zhang, Weili Zhang, Yunjiang Rao, Yunjiang Rao, } "A comparative study for massive data compression in long-distance distributed optical fiber sensing systems", Proc. SPIE 9655, Fifth Asia-Pacific Optical Sensors Conference, 96553M (1 July 2015); doi: 10.1117/12.2184440; https://doi.org/10.1117/12.2184440
PROCEEDINGS
4 PAGES


SHARE
RELATED CONTENT


Back to Top