Aim of the present manuscript is to summarize the multi-disciplinary activities related to the research project called POIROT that proposes to design a platform for transforming the organic waste into an inert, odorless and sanitized material, employable for building applications or as thermal acoustic insulator. The platform prototype is equipped with Arduino-based electronic sensing stations for characterizing the material during the different steps of the transformation process. Further innovation introduced by the proposed system is the integration of the platform with a RFID-based user-recognition and products traceability system, allowing both to identify the enabled users and to track the produced panels/bricks along the whole supply chain. Therefore, a proper software on-cloud application was developed for supporting the products’ traceability functionality.

Sensors-based treatment system of the organic waste with RFID identification and on-cloud traceability

R. de Fazio;C. Esposito Corcione;A. Greco;F. Ferrari;R. Striani;L. Catarinucci;CHIETERA, FRANCESCO PAOLO;R. Colella;L. Patrono;Vincenzo Mighali;Ilaria Sergi;Paolo Visconti
Supervision
;
2019-01-01

Abstract

Aim of the present manuscript is to summarize the multi-disciplinary activities related to the research project called POIROT that proposes to design a platform for transforming the organic waste into an inert, odorless and sanitized material, employable for building applications or as thermal acoustic insulator. The platform prototype is equipped with Arduino-based electronic sensing stations for characterizing the material during the different steps of the transformation process. Further innovation introduced by the proposed system is the integration of the platform with a RFID-based user-recognition and products traceability system, allowing both to identify the enabled users and to track the produced panels/bricks along the whole supply chain. Therefore, a proper software on-cloud application was developed for supporting the products’ traceability functionality.
2019
978-1-7281-0556-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/431041
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