Paper
9 October 2000 Optical fiber sensor system for oil contamination measurement based on 3D fluorescence spectrum parameterization
Liping Shang, Jinshan Shi
Author Affiliations +
Proceedings Volume 4221, Optical Measurement and Nondestructive Testing: Techniques and Applications; (2000) https://doi.org/10.1117/12.402611
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China
Abstract
In recent years oil contamination in water is more serious and destroys the mode of life and relation to water body environments. Excitation fluorescence method is one of the main approaches to monitor oil contamination on line. But average intensity of oil fluorescence only indicates its density, not indicates the type of contamination oil. Two-dimensional fluorescence spectrum is more difficult to determine the kind of oil, because the different oil has fluorescence spectrum overlapping to a great extent. In this paper, the 3D fluorescence spectrum parameterization is introduced. It can extract several characteristic parameters to measure the kid of oil to be measured. A prototype of optical fiber 3D fluorescence spectrum meter we developed carries out the identification of different oil types, such as crude oil, diesel oil and kerosene. The experiment arrangement conceived to measure pulse xenon lamp induced of oil component in water. The experiment results state clearly that the 3D fluorescence spectrum parameterization and software are successful to measure oil density and identify the type of oil in situ.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liping Shang and Jinshan Shi "Optical fiber sensor system for oil contamination measurement based on 3D fluorescence spectrum parameterization", Proc. SPIE 4221, Optical Measurement and Nondestructive Testing: Techniques and Applications, (9 October 2000); https://doi.org/10.1117/12.402611
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KEYWORDS
Luminescence

Contamination

3D metrology

Optical fibers

Minerals

Statistical analysis

Fiber optics sensors

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