Multi-sensor spectral database of WEEE polymers

Polymers represent around 25% of total waste from electronic and electric equipment. Any successful recycling process must ensure that polymer-specific functionalities are preserved, to avoid downcycling. This requires a precise characterization of particle compounds moving at high speeds on conveyor belts in processing plants. We present a multi-sensor database including spectra acquired from imaging and point measurement sensors on 23 polymers including ABS, PS, PC, PE-types, PP, PVC, PET-types, PMMA, and PTFE. The techniques applied include hyperspectral imaging sensors (HSI) to map reflectance in the visible to near infrared (VNIR, (350–1000) nm ), short-wave (SWIR, (1000–2500) nm) and mid-wave infrared (MWIR, (2500–5000) nm) as well as point Raman, FTIR and portable spectral spectroradiometer (PSR) instruments.

聚合物（Polymers）占电子电气设备总废弃物的约25%。任何成熟的回收工艺都必须确保保留聚合物特有的功能属性，以避免降级回收。这要求对处理厂传送带上高速输送的颗粒混合物开展精准的表征分析。本研究构建了一套多传感器数据库，涵盖通过成像传感器与点测量传感器采集的光谱数据，涉及23种聚合物，包括丙烯腈-丁二烯-苯乙烯共聚物（ABS）、聚苯乙烯（PS）、聚碳酸酯（PC）、聚乙烯类（PE-types）、聚丙烯（PP）、聚氯乙烯（PVC）、聚对苯二甲酸乙二醇酯类（PET-types）、聚甲基丙烯酸甲酯（PMMA）以及聚四氟乙烯（PTFE）。所采用的检测技术包括高光谱成像传感器（HSI），用于获取可见光至近红外（VNIR，350–1000 nm）、短波红外（SWIR，1000–2500 nm）以及中波红外（MWIR，2500–5000 nm）波段的反射光谱，同时还涵盖单点拉曼检测、傅里叶变换红外光谱仪（FTIR）以及便携式光谱辐射计（PSR）设备。