Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review
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in: Academic Journal of Polymer Science, Jahrgang 5.2022, Nr. 4, 555670, 14.02.2022.
Publikationen: Beitrag in Fachzeitschrift › Leitartikel › (peer-reviewed)
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TY - JOUR
T1 - Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review
AU - Friedrich, Karl
AU - Koinig, Gerald
AU - Fritz, Theresa
AU - Pomberger, Roland
AU - Vollprecht, Daniel
PY - 2022/2/14
Y1 - 2022/2/14
N2 - 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.
AB - 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.
KW - Sensor-based Sorting
KW - Robot Sorting
KW - Recycling Goals
KW - Digitalisation
KW - Circular Economy
KW - Sensor-based Sorting
KW - Robot Sorting
KW - Recycling Goals
KW - Digitalisation
KW - Circular Economy
UR - https://juniperpublishers.com/ajop/AJOP.MS.ID.555668.php
U2 - 10.19080/AJOP.2022.05.555668
DO - 10.19080/AJOP.2022.05.555668
M3 - Editorial
VL - 5.2022
JO - Academic Journal of Polymer Science
JF - Academic Journal of Polymer Science
SN - 2641-8282
IS - 4
M1 - 555670
ER -