Paper
12 January 2018 Research on distributed optical fiber sensing data processing method based on LabVIEW
Zhonghu Li, Meifang Yang, Luling Wang, Jinming Wang, Junhong Yan, Jing Zuo
Author Affiliations +
Abstract
The pipeline leak detection and leak location problem have gotten extensive attention in the industry. In this paper, the distributed optical fiber sensing system is designed based on the heat supply pipeline. The data processing method of distributed optical fiber sensing based on LabVIEW is studied emphatically. The hardware system includes laser, sensing optical fiber, wavelength division multiplexer, photoelectric detector, data acquisition card and computer etc. The software system is developed using LabVIEW. The software system adopts wavelet denoising method to deal with the temperature information, which improved the SNR. By extracting the characteristic value of the fiber temperature information, the system can realize the functions of temperature measurement, leak location and measurement signal storage and inquiry etc. Compared with traditional negative pressure wave method or acoustic signal method, the distributed optical fiber temperature measuring system can measure several temperatures in one measurement and locate the leak point accurately. It has a broad application prospect.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhonghu Li, Meifang Yang, Luling Wang, Jinming Wang, Junhong Yan, and Jing Zuo "Research on distributed optical fiber sensing data processing method based on LabVIEW", Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 106211P (12 January 2018); https://doi.org/10.1117/12.2295347
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Temperature metrology

Optical fibers

LabVIEW

Data acquisition

Raman scattering

Wavelets

Denoising

Back to Top