Detection method of oil type and composition of spilled oil of sea surface crashed plane based on alternating penalty trilinear decomposition

Abstract

The invention discloses a detection method of oil type and composition of spilled oil of sea surface crashed plane based on alternating penalty trilinear decomposition. Original fluorescence spectrumdata of N samples of aviation kerosene and lubricating oil under different volume ratio configurations is acquired through a fluorescence spectrophotometer. Delaunay interpolation correction is executed for the obtained original fluorescence spectrum data, and corrected three-dimensional fluorescence spectrum data is obtained. The three-dimensional fluorescence spectrum data is processed through acore consistency diagnostic function, and the number of compositions needed when parsing the three-dimensional fluorescence spectrum data through the alternating penalty trilinear decomposition (APTLD) algorithm is obtained. The three-dimensional fluorescence spectrum data is processed through the APTLD algorithm, load matrixes A, B and C of pure oil and mixed oil of the aviation kerosene and lubricating oil are obtained. The load matrixes B and C of the pure oil of the aviation kerosene and lubricating oil and the load matrixes B and C of the mixed oil of the aviation kerosene and lubricating oil are subjected to data fitting, thus, a spectrum fitted curve under a corresponding relation of fluorescence relative intensity and excitation and emission wavelength of the aviation kerosene andlubricating oil is obtained, and degree of correlation of each spectrum curve is judged through root-mean-square error (RMSE) and a correlation function corrcoef.

Description

【Technical field】 [0001] The invention relates to the field of detection of mixed oil oil components, in particular to the technical field of research on a method for detecting oil oil components spilled from an aircraft crashed at sea based on Alternate Penalized Trilinear Decomposition (APTLD). 【Background technique】 [0002] With the rapid development of the global economy, the traffic over the ocean is getting busier, and the traffic volume of passengers and goods and the demand for aircraft are showing a continuous growth. However, factors such as harsh weather conditions at sea and aircraft mechanical failure may lead to accidental accidents of aircraft, resulting in serious casualties and property losses. Therefore, the search and rescue of aircraft crashed at sea has become a subject of increasing investment in research by countries all over the world. At present, in most cases, the search for a plane crashed at sea is based on the characteristic signal sent by the "...

AI Technical Summary

Problems solved by technology

This method uses the PARAFAC algorithm to analyze the three-dimensional fluorescence spectral data, which has a slow convergence speed, is sensitive to noise or model deviation, and is easily affected by multicollinearity in the iterative process, resulting in distortion of the decomposition results, making it impossible to search and rescue timeliness required for work

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