Literature DB >> 24472716

Intelligent composting assisted by a wireless sensing network.

Marga López1, Xavier Martinez-Farre2, Oscar Casas3, Marcos Quilez4, Jose Polo5, Oscar Lopez6, Gemma Hornero7, Mirta R Pinilla8, Carlos Rovira9, Pedro M Ramos10, Beatriz Borges11, Hugo Marques12, Pedro Silva Girão13.   

Abstract

Monitoring of the moisture and temperature of composting process is a key factor to obtain a quality product beyond the quality of raw materials. Current methodologies for monitoring these two parameters are time consuming for workers, sometimes not sufficiently reliable to help decision-making and thus are ignored in some cases. This article describes an advance on monitoring of composting process through a Wireless Sensor Network (WSN) that allows measurement of temperature and moisture in real time in multiple points of the composting material, the Compo-ball system. To implement such measurement capabilities on-line, a WSN composed of multiple sensor nodes was designed and implemented to provide the staff with an efficient monitoring composting management tool. After framing the problem, the objectives and characteristics of the WSN are briefly discussed and a short description of the hardware and software of the network's components are presented. Presentation and discussion of practical issues and results obtained with the WSN during a demonstration stage that took place in several composting sites concludes the paper.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Composting monitoring; Moisture measurements; Temperature measurements; Wireless sensor network

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Year:  2014        PMID: 24472716     DOI: 10.1016/j.wasman.2013.12.019

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Organic fraction of municipal solid waste from mechanical selection: biological stabilization and recovery options.

Authors:  Alessandra Cesaro; Lara Russo; Anna Farina; Vincenzo Belgiorno
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-17       Impact factor: 4.223

  1 in total

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