Plastic identification apparatus and method based on near-infrared spectroscopy analysis

A near-infrared spectrum and identification device technology, which is applied in the field of plastic identification devices based on near-infrared spectrum analysis, can solve the problems of low recognition accuracy, inability to identify plastics with similar densities, and inability to identify and separate plastics, so as to achieve fast and simple analysis, Easy to distinguish, the effect of not polluting the environment

Inactive Publication Date: 2016-10-12
CHINA JILIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method is more effective when there are few types of plastics to be identified and the density difference is large, but it cannot be effectively identified and separated for plastics with similar densities, resulting in low identification accuracy
[0004] In summary, the floating-sinking separation method in the prior art has the technical defect of being unable to identify plastics with similar densities

Method used

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  • Plastic identification apparatus and method based on near-infrared spectroscopy analysis
  • Plastic identification apparatus and method based on near-infrared spectroscopy analysis
  • Plastic identification apparatus and method based on near-infrared spectroscopy analysis

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Embodiment 1

[0047] Embodiment 1 of the present invention provides a plastic identification device based on near-infrared spectral analysis, see figure 1 As shown, it includes a light source unit, a sample collection unit, a detection unit and a circuit control unit.

[0048] The light source unit is used to emit a light source for illuminating the sample to be identified;

[0049] The sample collection unit is used to collect the reflected light reflected by the sample to be identified under the light source and transmit it to the detection unit;

[0050] The detection unit is used for splitting the reflected light and converting it into a photocurrent signal and sending it to the circuit control unit.

[0051] Preferably, see figure 2 As shown, the light source unit includes white light source 1 , optical fiber 2 / 4, monochromator 3 and lens 5 ; the sample collection unit includes sample holder 6 , mirror 7 and integrating sphere 8 .

[0052] The white light source 1 and the monochrom...

Embodiment 2

[0067] Embodiment 2 of the present invention provides a plastic identification method based on near-infrared spectral analysis, see image 3 shown, including steps:

[0068] Step S210, pre-training a recognition model based on the artificial neural network model.

[0069] Step S211, collecting the near-infrared reflection spectrum of the sample to be identified.

[0070] Step S212: Identify the near-infrared reflection spectrum of the sample to be identified according to the identification model, and obtain the identification result of the sample to be identified.

[0071] Preferably, pre-training the recognition model based on the artificial neural network model includes steps:

[0072] Set up the sample training set, detect the reflectance spectra of various plastics in the sample training set in the near-infrared band; extract the emission luminous rate spectral data at each wavelength of the reflective spectrogram; perform principal component analysis on the reflective l...

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Abstract

The invention discloses a plastic identification apparatus and a method based on near-infrared spectroscopy analysis. The plastic identification apparatus comprises a light source unit, a sample acquisition unit, a detection unit and a circuit control unit. The light source unit is used for providing a light source; the sample acquisition unit is used for collecting the reflected light of a to-be-identified sample and sending to the detection unit; the detection unit is used for performing light splitting on the reflected light and then transferring to a photoelectric current signal and then sending the photoelectric current signal to the circuit control unit; the circuit control unit comprises DC power supply, an operational amplifier and a computer control terminal; and the operational amplifier is used for receiving the photoelectric current signal and performing amplification, and then sending the amplified photoelectric current signal to the computer control terminal. The method comprises the following steps: training an identification model in advance based on an artificial neural network model, extracting a near-infrared reflectance spectroscopy of the to-be-identified sample according to the identification model, and acquiring the identification result of the to-be-identified sample. The method and the apparatus can accurately and rapidly indentify a plurality of common plastics.

Description

technical field [0001] The invention relates to the technical field of plastic identification, in particular to a plastic identification device and method based on near-infrared spectrum analysis. Background technique [0002] Plastic recycling is an important part of solving ecological and environmental problems. There are many types of plastics. In the process of plastic reprocessing and utilization, when different types of plastics are mixed together for reprocessing, the products are prone to delamination and poor performance. Therefore, the recycling and reprocessing of plastics has certain requirements on the purity of plastics. In order to make plastics better recycled, it is very important to effectively classify plastics before recycling them. [0003] There are many traditional plastic identification methods, including floating and sinking separation method, electroselection separation method, flotation separation method and so on. Among them, the floating-sinkin...

Claims

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Application Information

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IPC IPC(8): G01N21/3563G01N21/359
CPCG01N21/3563G01N21/359
Inventor 陈玲玲李文环金怀洲袁琨刘开元金尚忠
Owner CHINA JILIANG UNIV
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