Fast and intelligent waste plastic sorting method

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...

Images