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Fast and intelligent waste plastic sorting method

A technology of waste plastic and classification method, applied in the field of analytical chemistry, can solve the problems of complex plastic structure and difficult spectral analysis, and achieve the effect of high speed

Inactive Publication Date: 2014-01-08
TIANJIN POLYTECHNIC UNIV
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  • Abstract
  • Description
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Problems solved by technology

In addition, due to the complexity of the plastic structure, even a simple homopolymer cannot be expected to have exactly the same absorption peak
For copolymers, due to the difference in molecular structure caused by sequence distribution, and the influence of molecular packing method or molecular shape, the combination of multiple factors will make spectral analysis more difficult

Method used

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  • Fast and intelligent waste plastic sorting method

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Experimental program
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Effect test

Embodiment

[0021] 1) Collect 21 waste plastic samples, 21 samples include polyethylene terephthalate (PET), high-density polyethylene (HDPE), polyvinyl chloride (PVC), low-density polyethylene (LDPE), polyethylene There are 7 types of plastics including propylene (PP), polystyrene (PS), and polycarbonate (PC), with 3 samples for each type of plastic. The spectrum was measured by an attenuated total reflection Fourier transform infrared spectrometer (Nicolet6700, Thermoelectric Corporation, USA). The wave number range is 4000.2~649.9cm -1 , the sampling interval is about 0.48 wavenumbers, a total of 6950 wavelength points, and the measured spectral matrix is ​​denoted as X(21×6950).

[0022] 2) Perform column standardization on the spectral matrix, the standardized data is D1 (21×6950), the mean value of each column element in the matrix D1 is 0, and the variance and standard deviation are both 1.

[0023] 3) Use principal component analysis to reduce the dimensionality of the matrix D1...

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Abstract

The invention relates to a fast and intelligent waste plastic sorting method. The method comprises the steps of scanning the infrared spectrum of a sample with an attenuated total reflection fourier transform infrared spectrograph to obtain an infrared spectrum data matrix, pre-processing the data matrix including standardization and principal component analysis and dimensionality reduction, and carrying out cluster analysis on data with dimensionality reduced by means of the hierarchical clustering method. The result shows that the sample testing method is free of sample preprocessing and high in sample testing speed, and the accuracy of sorting of waste plastic can reach 100% by means of the principal component analysis - hierarchical clustering identification method. Therefore, fast and intelligent waste plastic sorting is achieved by means of attenuated total reflection fourier transform infrared spectrum and chemical mode combined identification.

Description

technical field [0001] The invention belongs to the non-destructive analysis technology in the field of analytical chemistry and relates to the intelligent classification of waste plastics. Background technique [0002] With the wide application of plastic products, the pollution of waste plastics has become a major problem to be solved urgently. In order to eliminate plastic waste, people have used methods such as landfill, incineration, high-temperature degradation, and recycling to alleviate environmental pollution. Among them, landfill, incineration, high-temperature degradation and other methods cannot fundamentally solve the pollution problem of waste plastics, and are prone to secondary pollution. The recycling of waste plastics can not only protect the environment, but also open up new materials. In recent years, it has become a hot spot in the research, development and production of countries all over the world. [0003] However, there are abundant sources of wast...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3563
Inventor 卞希慧王秋男郭玉高谭小耀
Owner TIANJIN POLYTECHNIC UNIV
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