KEYWORDS: Spatial resolution, Error analysis, Temperature metrology, Optical fibers, Structural health monitoring, 3D surface sensing, Acoustics, 3D imaging standards, Sensors, Analytical research
Traditionally, distributed BOTDR technique is applied in the field of the structural heath monitoring (SHM) on the large
scale. However, if the sensing length is relatively small, the number of valid sampling points on the sensing fiber will be
quite limited. Therefore, how to pick out valid sampling points from a large amount of sampling points becomes a key to
apply distributed BOTDR technique into the field of small-scale monitoring successfully. This paper presents the
concepts of valid sampling points (VSPs), invalid sampling points (ISPs) and useless sampling points (USPs), proposes
SRSI Method to select VSPs, derives the error theory of ISPs and analyzes the experimental data by SRSI Method, Peak
Method and the error theory of ISPs in the temperature and strain monitoring tests. In the above tests, different sensing
lengths of the fiber or spatial resolutions were set for comparison with each other. The test results show that SRSI
Method, which can improve the accuracy of the test results effectively, is the better selecting method of VSPs than Peak
Method, and especially, the number of VSPs on the sensing fiber is less, the SRSI Method is better. Meanwhile, the error
theory of ISPs gives the error bound and a good explanation of the large errors of Peak Method.
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