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Scrap plastic spectrum identification method based on XGBoost model

A spectral identification, plastic technology, applied in the direction of analyzing materials, material analysis by optical means, measuring devices, etc., can solve problems such as low accuracy, achieve high accuracy, stable process, and facilitate large-scale industrialization.

Pending Publication Date: 2022-03-25
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Improve the recycling rate of plastic products, and better solve the problem of low accuracy of traditional chemical and physical methods for classifying various plastics

Method used

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  • Scrap plastic spectrum identification method based on XGBoost model
  • Scrap plastic spectrum identification method based on XGBoost model
  • Scrap plastic spectrum identification method based on XGBoost model

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Embodiment Construction

[0063] In order to make those skilled in the art better understand the present invention, preferred embodiments of the present invention are shown in the accompanying drawings. Each technical feature and overall technical solution of the present invention should be understood clearly, but they should not be construed as limiting the protection scope of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0064] Such as figure 1 A method of spectral identification of waste plastics based on the XGBoost model is shown, including the following steps:

[0065] Step S1, using a near-infrared spectrometer to collect the near-infrared spectrum of the plastic sample, with a wavelength ra...

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Abstract

The invention discloses a waste plastic spectrum identification method based on an XGBoost model. The method comprises the following steps: acquiring near-infrared reflectivity spectrum data of various plastics by using a near-infrared spectrometer; pCA analysis is carried out on the original spectral data, and the data dimension is reduced; an XGBoost algorithm is used to establish a waste plastic algorithm identification model; optimizing the performance of the recognition model by adopting grid search and K-fold cross validation, and finally establishing the recognition model; and based on the trained identification model, extracting the near infrared spectrum of the to-be-identified plastic sample, and identifying the near infrared reflection spectrum of the to-be-identified plastic sample according to the identification model to obtain an identification result of the to-be-identified plastic sample. According to the method, the data processing time is shortened, meanwhile, the accuracy of identifying various common plastics is improved, and application in actual production is facilitated.

Description

technical field [0001] The invention relates to the field of identification of waste and miscellaneous plastics, in particular to a spectral identification method of waste and miscellaneous plastics based on an XGBoost model. Background technique [0002] In the past few decades, the great progress of science and technology and the rapid development of economy and society have led to a huge increase in the demand and output of various industrial products. After decades of rapid development, my country's plastics industry has expanded its scale year by year, and its production capacity and output have continued to increase. At present, it has become an equally important basic industry with cement, wood and steel. [0003] Because of its light weight, non-corrosion, stable chemical properties, and low price, plastics are widely used in various fields such as electronics, automobiles, construction, and agriculture. They can be seen everywhere from clothing, food, housing, trans...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/01
CPCG01N21/359G01N21/01
Inventor 文生平陶一文
Owner SOUTH CHINA UNIV OF TECH
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