Scholarly record
CONSTRUCTION AND DEMOLITION WASTE BASED ON THE AUTOMATIC RECYCLING MANAGEMENT
Abstract
Over 3000 million tons of waste management are generated annually, out of which 25%-30% are Construction and Demolition Waste (CDW). Construction and Demolition Waste (CDW) is generating major issues regarding logistics, provision, and environmental impact. The European Commission, by its Waste Framework Directive, is requesting to increase the recycling rate of the weight by 2020. Since actual material separation techniques require manual quality control and sorting, which is dangerous because workers suffer from exposure to hazardous elements. The desire is to develop a system that will overcome the limitations of current sorting technologies, developing a highly automated processing line, guaranteeing high throughput, and extreme flexibility. The article presents the Construction and Demolition Waste (CDW) management using an automatic system for recycling the materials. Moreover, the current material separation methods usually require manual quality control to reach a useful purity of raw materials. The idea of the paper aims to go beyond the technological limitations by exploiting the flexibility of a robotic arm and a classification algorithm based on the information coming from hyperspectral cameras and reflectance sensors. Several different material classes which identify the incoming waste for their future recycling, each with a high-value application in the industry, thus increasing their economic value. In the future, this automated system for sorting the waste will increase the workers' productivity, digitalize the industrial sector, and increase the percentage of recycling CDW up to 90 %.
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- CrossRef - Citation Indexes: 3
- Scopus - Citation Indexes: 5
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Publication details
References11
Environmental Protection Agency, Waste Guidelines, EPA 842/09, Adelaide, SA, Australia, 2009
EUROPEAN COMMISSION ENV.A.2/ETU/2014/0049 - Resource Efficient Use of Mixed Wastes
Implementing EU waste legislation for green growth, DG ENV (2011)
ec.europa.eu/eurostat/statistics-explained/index.php/ Waste_statistics #Waste_generation_excluding_major_mineral_wastes (September 2015)
F. Hollstein, Í. Cacho, S. Arnaiz, and M. Wohllebe, "Challenges in automatic sorting of construction and demolition waste by hyperspectral imaging," in Advanced Environmental, Chemical, and Biological Sensing Technologies XIII, 2016, vol. 9862: International Society for Optics and Photonics, p. 98620J
K. Anding, E. Linß, H. Träger, M. Rückwardt, and A. Göpfert, "Optical identification of construction and demolition waste by using image processing and machine learning methods," in 14th Joint Int. IMEKO Symp., Jena, Germany, 2011.
Herczeg, M., McKinnon, D., Milios, L., Bakas, I., Klaassens, E., Svatikova, K. and Widerberg, O., 2014. Resource efficiency in the building sector. Final report. Prepared for European Commission by ECORYS and Copenhagen Resource Institute, Rotterdam, the Netherlands
Soutsos, M.N., Tang, K. and Millard, S.G., 2011. Concrete building blocks made with recycled demolition aggregate. Construction and Building Materials, 25(2), pp.726-735
Suciu, George, Teodora Usurelu, and Razvan Craciunescu. "IOT and Automation Solutions for Cities and Industry of Tomorrow." In 2020 13th International Conference on Communications (COMM), pp. 403-406. IEEE, 2020
Aileni, Raluca Maria, Suciu George, Sever Pasca, and Valderrama Sukuyama Carlos Alberto. "Data Fusion-Based AI Algorithms in the Context of IIoTS." In Internet of Things for Industry 4.0, pp. 17-38. Springer, Cham, 2020
Marcu, Alina Elena, Robert Alexandru Dobre, Octaviana Datcu, George Suciu, and Jeasub Oh. "Flicker Free VLC System with Automatic Code Resynchronization using Low Frame Rate Camera." In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP), pp. 402-405. IEEE, 2019
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Number of times cited according to Crossref: 3
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