Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review

K. Friedrich
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引用次数: 3

Abstract

A circular economy is the stated aim of current technological and political developments in the waste management sector. Achieving the goal of a circular economy requires significant improvements in waste treatment technologies. For this reason, this paper summarises the relevant technologies, detailing the developments in the significant sensor-based sorting technologies. This review analyses the key spectral analysis methods like Near-Infrared Spectroscopy, Visual Spectroscopy, X-ray transmission, X-ray fluorescence analysis and Laser-Induced Breakdown Spectroscopy. This study further contains a detailed analysis of the standard sensor-based sorting construction types chute sorter, belt sorter and robot-aided sorting. Further insights in the branch of sensor-based sorting are permitted by describing the key players and stakeholders in sensor-based sorting, detailing the area of expertise and current fields of study for primary sensor and sorting machine suppliers. A convenient lookup table detailing the capabilities of these significant suppliers is provided. The last chapter summarises relevant trends and developments in digitalisation and Industry 4.0 in the waste and recycling sector, elaborating on relevant technology like digital waste management, sorting robots in waste management, smart villages and recyclable materials scanners. The reviewed data portrays the waste management industry’s substantial developments. While new technologies, like machine learning, convolutional neural networks and robot sorting, are increasingly implemented, a substantial discrepancy exists between technological capabilities and the current State-of-the-Art.
基于传感器和机器人的分类过程及其在实现欧洲回收目标中的作用-综述
循环经济是当前废物管理部门的技术和政治发展的既定目标。实现循环经济的目标需要废物处理技术的重大改进。因此,本文总结了相关技术,详细介绍了重要的基于传感器的分选技术的发展。综述了近红外光谱、可见光光谱、x射线透射光谱、x射线荧光光谱和激光诱导击穿光谱等主要光谱分析方法。本研究进一步详细分析了基于传感器的标准分拣结构类型溜槽分拣机、皮带分拣机和机器人辅助分拣机。通过描述基于传感器的分拣的主要参与者和利益相关者,详细介绍主要传感器和分拣机供应商的专业领域和当前研究领域,可以进一步了解基于传感器的分拣分支。提供了一个方便的查找表,详细说明了这些重要供应商的功能。最后一章总结了数字化和工业4.0在废物和回收领域的相关趋势和发展,详细阐述了数字废物管理、废物管理中的分类机器人、智能村庄和可回收材料扫描仪等相关技术。经审查的数据描绘了废物管理行业的重大发展。虽然机器学习、卷积神经网络和机器人分类等新技术得到了越来越多的应用,但技术能力与当前最先进的技术之间存在着巨大的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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