超越分类：使用基于传感器的分类器数据进行实时吞吐量和成分监控

IF 10.9 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Resources Conservation and Recycling Pub Date : 2025-09-03 DOI:10.1016/j.resconrec.2025.108570

Sabine Schlögl , Bastian Küppers , Daniel Vollprecht , Roland Pomberger , Alexia Tischberger-Aldrian

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引用次数: 0

摘要

现代轻包装废弃物（主要是塑料、金属和化合物）分拣厂可以使用多达50个基于传感器的分拣机（SBS），产生大量的物料流数据。本研究首次对SBS数据进行了系统评估，用于实时在线监测吞吐量（0.1-17.5 t/h）和输入成分（喷射份额为5-50%）。研究人员检查了两部分：较大的聚乙烯“芯片”通过可见光（VIS）相机按颜色分类，较小的各种聚合物“薄片”通过近红外（NIR）技术分类。开发了将像素计数转换为基于质量的度量的公式，同时故意避免使用人工智能来突出像素数据的固有潜力。监测精度在很大程度上取决于粒子重叠，由重叠因子（fsp）测量。对于fsp<；1.05，中位吞吐量偏差为+0.3%（芯片）和- 11.6%（薄片）；组成偏差分别为+3.9%和+2.4%。如果考虑到概述的挑战，该技术可以用于工厂运行的实际条件（fsp<1.25）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Beyond sorting: using sensor-based sorter data for real-time throughput and composition monitoring

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Beyond sorting: using sensor-based sorter data for real-time throughput and composition monitoring

Modern sorting plants for lightweight packaging waste (mainly plastics, metals and compounds) can operate with up to 50 sensor-based sorters (SBS), generating large volumes of material flow data. This study presents the first systematic evaluation of SBS data for real-time, inline monitoring of throughput (0.1–17.5 t/h) and input composition (eject shares 5–50%). Two fractions were examined: larger polyethylene “chips” sorted by color via visible light (VIS) cameras, and smaller “flakes” of various polymers sorted by near-infrared (NIR) technology. Formulas converting pixel counts to mass-based metrics were developed, while artificial intelligence was deliberately avoided to highlight the inherent potential of pixel data. Monitoring accuracy depended strongly on particle overlap, measured by the superposition factor (fsp). For fsp<1.05, median throughput deviations were +0.3% (chips) and −11.6% (flakes); composition deviations were +3.9% and +2.4%, respectively. If the outlined challenges are considered, the technology can be used in realistic conditions of plant operation (fsp<1.25).

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来源期刊

Resources Conservation and Recycling 环境科学-工程：环境

CiteScore

22.90

自引率

6.10%

发文量

625

审稿时长

23 days

期刊介绍： The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns. Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.