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Optimization of Pretreatment Methods for Plastic Sorting Technology Based on Near-infrared Spectroscopy |
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DOI: |
KeyWord:plastic sorting near-infrared spectroscopy(NIR) preprocessing combination predictive analysis |
Author | Institution |
LI Jia-shuai,XUE Lian-lian,WANG Kai,LIU Jun-cheng,WU Han,LI Hua-qing,YIN Feng-fu |
1. School of Mechanical and Electrical Engineering,Qingdao University of Science and Technology, Qingdao ,China; 2. School of Information Engineering,Qingdao Vocational College of Engineering,Qingdao ,China |
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Abstract: |
In order to identify different types of plastics,the near-infrared spectral data of four types of plastics,i.e.nylon(PA),polypropylene(PP),polystyrene(PS) and polyvinyl chloride(PVC),were collected.Meanwhile,according to the existing noise,baseline and optical path issues during spectral data acquisition,pretreatment combination optimization methods were investigated,based on 3-point Savitzky-Golay convolution smoothing(S-G),first derivative(FD),second derivative(SD),standard normal variable transformation(SNV) and multivariate scattering correction(MSC).Furthermore,the characteristic wavelength was extracted by competitive adaptive reweighting sampling(CARS),and a model was established using support vector machine(SVM).The results showed that among all preprocessing methods,the preprocessing combination S-G + FD + SNV obtains the best results,while the average accuracy of the S-G + FD + SNV + SVM model is as high as 96.67%,and the average accuracies of its training set and validation set are both 100%.The mentioned-above pretreatment combination optimization method could provide a reference for the identification on four common plastics. |
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