激光与红外2024,Vol.54Issue(5) :663-669.DOI:10.3969/j.issn.1001-5078.2024.05.001

近红外光谱检测技术在塑料分选中的应用进展

Progress in the application of near infrared spectroscopy detection technology in plastic sorting

陈晨 汪香君 黄金飞 李军 汪洋 熊露璐
激光与红外2024,Vol.54Issue(5) :663-669.DOI:10.3969/j.issn.1001-5078.2024.05.001

近红外光谱检测技术在塑料分选中的应用进展

Progress in the application of near infrared spectroscopy detection technology in plastic sorting

陈晨 1汪香君 1黄金飞 2李军 1汪洋 1熊露璐3
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作者信息

  • 1. 上海工程技术大学,上海 201620
  • 2. 浙江省轻工业品质量检验研究院,浙江杭州 310013
  • 3. 上海大觉包装制品有限公司,上海 201700
  • 折叠

摘要

近红外光谱检测技术(NIRS)在塑料分选中的应用旨在对塑料种类与组份进行识别,从而提高回收效率最终实现资源的综合利用.本文首先介绍传统塑料分选技术发展;其次概述近红外检测技术原理与其在塑料领域的应用现状;最后对在塑料分选领域应用前景进行了总结与展望.在塑料分选领域,近红外光谱检测技术相比传统的物理和化学检测方法,具有快速、无损、高效等明显的优势,可通过实时、在线检测,定性与定量的方式对未知样品进行识别与分选.尽管该技术在一些实验研究中已经取得了显著的阶段性成果,但在实际工程应用特别是检测的精准度,外延新的应用场景等方面仍需进一步研究和优化.

Abstract

The application of near infrared spectroscopy(NIRS)in plastic sorting aims to identify plastic types and components,improve recycling efficiency,reduce environmental impact,and finally realize comprehensive utilization of resources.This paper firstly introduces the traditional sorting technology of plastics.Secondly,the principle of near in-frared detection technology and its application in the field of plastics are summarized.Finally,the application prospect in the field of plastic separation is summarized and prospected.In the field of plastic sorting,compared with the tradi-tional physical and chemical detection methods,near infrared spectroscopy detection technology has obvious advanta-ges such as fast,non-destructive and efficient,and can identify and sort the tested object through real-time and online detection,qualitative and quantitative ways.Although the technology has achieved remarkable stage results in some ex-perimental studies,it still needs further research and optimization in practical engineering applications,especially in the accuracy of detection and new application scenarios.

关键词

近红外光谱技术/无损检测/塑料分选

Key words

near infrared spectroscopy/non-destructive testing/plastic sorting

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基金项目

浙江省市场监督管理局雏鹰计划(CY2023214)

出版年

2024
激光与红外
华北光电技术研究所

激光与红外

CSTPCDCSCD北大核心
影响因子:0.723
ISSN:1001-5078
参考文献量37
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