Affiliation:
1. Dipartimento di Ingegneria Chimica Materiali Ambiente, Sapienza – Università di Roma, Via Eudossiana, 18, 00184 Rome, Italy
Abstract
Abstract
The recovery of
materials from DW is an important target of the recycling industry and it is
important to know which materials are present in order to set up efficient
sorting and/or quality control actions. The
implementation of an automatic recognition system of recovered products from
End-Of-Life (EOL) concrete
materials can be a useful way to maximize DW conversion into secondary raw
materials. In this paper a new
approach, based on HyperSpectral Imaging (HSI)
sensors, is investigated in order to develop suitable
and low cost strategies finalized to the preliminary detection and
characterization of materials constituting Demolition Waste (DW) flow
stream. Results showed that it is possible to recognize
DW materials and to distinguish the recycled aggregates from the
investigated contaminants (brick,
gypsum, plastic, wood and
foam).
Subject
Electrical and Electronic Engineering,Instrumentation
Cited by
15 articles.
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