Li Jian

TL;DR: Wang et al. as mentioned in this paper proposed and experimentally demonstrated a long-range Raman distributed fiber temperature sensor (RDFTS) and a temperature early warning model (TEWM) for fire detection and prevention.

TL;DR: A novel temperature demodulation method based on the optical dynamic difference compensation algorithm, which can eliminate the optical power fluctuation, and the visual localization technology is presented by using the longitudinal lining model (LLM) of a three-dimensional temperature display, which enhances the engineering application of RDTS in tunnel fire detection.

TL;DR: The experimental results show that the proposed RDFS can detect and accurately locate the leak position by using the DTIM, and the positioning accuracy is 1 m.

TL;DR: In this paper, the authors proposed and experimentally demonstrated dynamic noise difference algorithm and wavelet transform modulus maximum (WTMM) to de-noising Raman anti-Stokes signal.

TL;DR: It is proved that the proposed R-DTS system based on the difference sensitive-temperature compensation can make the temperature accuracy better than 1 °C for these three demodulation systems.