Study on high power ultraviolet laser oil detection system

Qi Jin; Zihao Cui; Zongjie Bi; Yanchao Zhang; Zhaoshuo Tian; Shiyou Fu

doi:10.1117/12.2316961

5 March 2018 Study on high power ultraviolet laser oil detection system

Qi Jin, Zihao Cui, Zongjie Bi, Yanchao Zhang, Zhaoshuo Tian, Shiyou Fu

Proceedings Volume 10710, Young Scientists Forum 2017; 107103C (2018) https://doi.org/10.1117/12.2316961
Event: Young Scientists Forum 2017, 2017, Shanghai, China

Abstract

Laser Induce Fluorescence (LIF) is a widely used new telemetry technology. It obtains information about oil spill and oil film thickness by analyzing the characteristics of stimulated fluorescence and has an important application in the field of rapid analysis of water composition. A set of LIF detection system for marine oil pollution is designed in this paper, which uses 355nm high-energy pulsed laser as the excitation light source. A high-sensitivity image intensifier is used in the detector. The upper machine sends a digital signal through a serial port to achieve nanoseconds range-gated width control for image intensifier. The target fluorescence spectrum image is displayed on the image intensifier by adjusting the delay time and the width of the pulse signal. The spectral image is coupled to CCD by lens imaging to achieve spectral display and data analysis function by computer. The system is used to detect the surface of the floating oil film in the distance of 25m to obtain the fluorescence spectra of different oil products respectively. The fluorescence spectra of oil products are obvious. The experimental results show that the system can realize high-precision long-range fluorescence detection and reflect the fluorescence characteristics of the target accurately, with broad application prospects in marine oil pollution identification and oil film thickness detection.

Citation Download Citation

Qi Jin, Zihao Cui, Zongjie Bi, Yanchao Zhang, Zhaoshuo Tian, and Shiyou Fu "Study on high power ultraviolet laser oil detection system", Proc. SPIE 10710, Young Scientists Forum 2017, 107103C (5 March 2018); https://doi.org/10.1117/12.2316961

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