Innovative Data Science Technologies for Scrap Valorization


Innovative Data Science Technologies for Scrap Valorization
The i4metal project will design and develop innovative ICT tools for organizing, processing and analyzing the data being collected during the operation of scrap processing facilities. Scrap (recyclable materials left over from product manufacturing and consumption, such as parts of vehicles, building supplies, and surplus materials) are an important source of secondary raw materials, with a key role in successfully transitioning to Circular Economy. These ICT tools, developed by the i4metal project, will support the creation of a data value chain in the scrap processing cycle to: (a) improve quality control of these materials; (b) increase accuracy standardization of scrap on the basis of their qualitative characteristics; (c) identifying and limiting cases of malicious practices; (d) optimizing the operation of scrap valorization processes; and (e) distributing open data regarding the collected scrap and the extracted secondary raw materials.
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Theodore Dalamagas

ATHENA Research Center

ANAMET Recycling Industry SA

National Technical University of Athens