Development of the prevalent type plastic kind distinction machine using the near-infrared spectrum by application of artificialintelligence

应用人工智能开发利用近红外光谱的通用型塑料种类判别机

• 批准号: 21560854
• 负责人: KAIHARA Mikio
• 金额: $ 3.08万
• 依托单位: Ichinoseki National College of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21560854/
• 关键词: 再資源化; プラスチック; 種類; 判別; リサイクル; 種類判別; 人工知能; 普及型プラスチック種類判別機; 近赤外分光計; 教育用キット; ハロゲン光源; LED光源; ロックインアンプ; 変調; 拡散反射; 積分球; 光ファイバー; 正反射; 近赤外分光スペクトル; 分類樹; LED; 簡便判別器; 固定周波数ロックインアンプ

The distinction machine for the plastic species, composed by a halogen light source(near-infrared light source), an optical chopper, a monochrome meter, an optical sensor, a preamplifier and the lock in amplifier(special amplifier for realizing higher signal to noise ratio) was developed with the cost price, about 200, 000 yen.This equipment is composed by the least parts for the distinction of plastic species.Although the number of the plastic species, which are identified by this machine is about 13, about 90% of the domestic total production of plastics is identifyed.

开发了由卤素光源（近红外光源）、光学斩波器、单色计、光学传感器、前置放大器和锁紧放大器（实现更高信噪比的专用放大器）组成的塑料品种识别机，成本价约为20万日元。该设备由最小的部件组成，用于区分塑料种类。虽然通过这台机器识别的塑料品种数量约为13种，但国内塑料总产量的90%左右被识别。

项目成果

The trial spectrometer kit of near infrared spectroscopy for researchers and students on chemistry

供化学研究人员和学生使用的近红外光谱试验光谱仪套件

• 发表时间: 2012
• 作者: Mikio Kaihara;Etsuya Chiba;Shigeo Kinno
• 通讯作者: Shigeo Kinno