LIBS‐ConSort: Development of a sensor‐based sorting method for construction and demolition waste

Author:

Klewe Tim1,Völker Tobias1,Landmann Mirko2,Kruschwitz Sabine13

Affiliation:

1. Bundesanstalt für Materialfor schung und ‐prüfung Berlin Germany

2. Institut für Angewandte Bauforschung Weimar gGmbH Weimar Germany

3. Technische Universität Berlin Berlin Germany

Abstract

AbstractA joint project of partners from industry and research institutions approaches the challenge of construction and demolition waste (CDW) sorting by investigating and testing the combination of laser‐induced breakdown spectroscopy (LIBS) with near‐infrared (NIR) spectroscopy and visual imaging. Joint processing of information (data fusion) is expected to significantly improve the sorting quality of various materials like concrete, main masonry building materials, organic components, etc., and may enable the detection and separation of impurities such as SO3‐cotaining building materials (gypsum, aerated concrete, etc.)Focusing on Berlin as an example, the entire value chain will be analyzed to minimize economic / technological barriers and obstacles at the cluster level and to sustainably increase recovery and recycling rates.The objective of this paper is to present current progress and results of the test stand development combining LIBS with NIR spectroscopy and visual imaging. In the future, this laboratory prototype will serve as a fully automated measurement setup to allow real‐time classification of CDW on a conveyor belt.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference12 articles.

1. Müller A.(2016)Erschließung der Ressourceneffizienzpotentiale im Bereich der Kreislaufwirtschaft Bau Project report in the research program Zukunft Bau- Stadt- und Raumforschung im Bundesamt für Bauwesen und Raumordnung.

2. Linß E. Landmann M. Karrasch A. Ludwig H.-M.(2015)Investigations on the Usability of Near-infrared Seonsros for the Recovery of Coarse Aggregates from Mices Construction and Demolition Waste ESCC2015.

3. Hollstein F. Wohllebe M. Arnaiz S. Cacho Í.(2016)Challenges in Automatic Sorting von Construction and Demolition Waste by Hyperspectral Imaging SPIE 9862 – Advanced Environmental Chemical and Biological Sensing Technologies XIII.

4. Development of an automatic sorting robot for construction and demolition waste

5. Anding K. Linß E. Träger H. Rückwardt M. Göpfert A.(2011)Optical Identification of Construction and Demolition Waste by Using Image Processing and Machine Learning Meathods Joint International IMEKO TCI + TC7 + TC13 Symposium.

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