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Time-resolved oil fluorescence identification method based on main component analysis

A principal component analysis, time-resolved technology, applied in the field of spectral analysis, can solve the problems of complex identification process, poor monitoring applicability, and limited identifiable types, so as to achieve simple identification methods, improve identification accuracy, and improve identification efficiency and application ability. Effect

Inactive Publication Date: 2017-02-08
INST OF OCEANOLOGY - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The present invention aims at the problems of complex identification process, limited identifiable types, poor monitoring applicability and the like existing in the identification method of petroleum products in the prior art, and provides a time-resolved oil fluorescence identification method based on principal component analysis. By introducing laser-induced fluorescence sequence The analysis method of characteristic parameters highlights the time-series variation difference of the fluorescence spectrum of petroleum products, increases the number of identifiable species, and improves the identification efficiency and applicability of the method

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  • Time-resolved oil fluorescence identification method based on main component analysis
  • Time-resolved oil fluorescence identification method based on main component analysis
  • Time-resolved oil fluorescence identification method based on main component analysis

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[0030] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] A time-resolved oil fluorescence identification method based on principal component analysis, including oil fluorescence spectral feature extraction process based on principal component analysis, correlation analysis process of oil fluorescence samples in three-dimensional space formed by the first three principal component features, and oil fluorescence based The process of sample identification based on the dispersion of the time series change data of the sample; among them, the process of sample identification based on the dispersion of the time series change data of the oil fluorescence sample is based on the time-resolved fluorescence The sample vector, the maximum value of the sample correlation distance and the dispersion parameter are introduced, and the time-resolved fluorescence spectra of di...

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Abstract

The invention relates to a time-resolved oil fluorescence identification method based on main component analysis. The time-resolved oil fluorescence identification method comprises the following steps of: carrying out feature extraction on an oil fluorescence spectrum through a main component analysis process; establishing vector space by utilizing extracted main component, carrying out correlation analysis among samples to obtain an oil fluorescence time sequence feature sequence, and calculating the maximum value and dispersion parameters of the feature sequence; and respectively carrying out hierarchical clustering to obtain types of oil according to the maximum value and dispersion parameters of the feature sequence. According to the time-resolved oil fluorescence identification method based on main component analysis disclosed by the invention, feature change sequence consisting of oil fluorescence main component characteristics at different sampling moments is further analyzed, and the maximum value and dispersion parameters used for time-resolved oil fluorescence feature parameterization are introduced, so that number of petroleum product types capable of being identified is increased, and petroleum product type identification ability is improved.

Description

technical field [0001] The invention relates to a fluorescence spectrum analysis method, in particular to a time-resolved oil fluorescence identification method based on principal component analysis, which belongs to the technical field of spectrum analysis. Background technique [0002] Petroleum products play an important role in the development of modern society and scientific and technological progress, and its monitoring and treatment issues have received great attention. Whether it can quickly and effectively identify oil pollution has become a scientific problem that is devoted to solving at home and abroad. Among many identification methods, laser-induced fluorescence technology is the most effective and potential one. It uses the fluorescence spectrum characteristics of different types of petroleum products to identify their types, which can help relevant departments make decisions on oil spill emergency measures. [0003] At present, the AOL (Airborne Oceanographic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/64
CPCG01N21/6408
Inventor 李晓龙陈永华姜静波倪佐涛
Owner INST OF OCEANOLOGY - CHINESE ACAD OF SCI
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