Sensorized waste collection container for content estimation and collection optimization

Vicentini, Federico; Giusti, Alessandro; Rovetta, Alberto; Fan, Xitao; He, Qi; Zhu, Ming; Liu, B.

doi:10.1016/j.wasman.2008.10.017

Cited by 78 publications

(36 citation statements)

References 4 publications

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“…A paradigm waste-bin system was created for the town of Pudong, Shangai, PR China [8] and in Malaysia [9]. The case study delineated herein focuses significantly on observation of the quantity of waste created and identification of categories of fabric gift within the collected waste and proposing the implementation of a network of sensorized waste containers joined to acknowledge management system.…”

Section: International Journal For Research In Applied Science and Engimentioning

confidence: 99%

Smart Garbage Collection System

Rathi¹

2017

IJRASET

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Waste collection and disposal is a complex process that requires the use of money and elaborate management of logistics. This paper will elaborate the structural design working and overall hierarchical description of the system. In this system, without making much of the alterations to the traditional garbage vehicle the proposed system could be mounted on the top of the vehicle canopy for automatically filled level detection. The design is based on two stereoscopic cameras dealing with depth ranging information for filled level detection. Based on deep simulation with image processing and trialling at day to day basis. The core of the proposed design lies depth estimation through a 3D model construction of captured image in using open source system. A tabulation of simulation data with field test experiments verify that design system works energy efficiently and in an orderly manner.

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Section: International Journal For Research In Applied Science and Engimentioning

confidence: 99%

Smart Garbage Collection System

Rathi¹

2017

IJRASET

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“…In fact, due to an increasing demand of transparency for public policies, associated with a substantial improvements of distributed technologies for the continuous data monitoring and sharing on several waste operations, an impressive number of large datasets about all stages of the waste life-cycle can be used to retrieve a very detailed account of the production, the collection and the disposal of waste over broad regions. By means of sensors inside trash containers, for instance, researchers my monitor on real time several variables related to the dynamic of waste production (Vicentini et al [16]); the integration of several technologies of geographical positioning with geographic information systems allows users to continuously monitor the location of collection trucks via web-based applications (Arebey et al [1]). …”

Section: Future Directionsmentioning

confidence: 99%

ICT-based Strategies for Environmental Conflicts

Moretti

Patrone

2014

SBE

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“…A positive correlation (r² = 0.95) between RSW generation and the Gross Domestic Product in Hong Kong was reported (KO; POON, 2009), although these authors have stated that recycling practices may change such correlation. Vicentini et al (2009) have emphasized that estimating waste generation is important not only for charging purposes, but also for optimizing collection services. These authors proposed a sensorized container which could remotely send information on the amount of waste that is inside the container.…”

Section: Waste Generationmentioning

confidence: 99%

“…However, a mathematical model was not mentioned in their paper. Karadimas and Loumos (2008), based on the assumption that the municipal solid waste (MSW) generation rate in the city of Athens (Greece) LOUMOS, 2008;VICENTINI et al, 2009;VIJAY et al, 2008) are more related to collection purposes, they show the importance currently given to the matter. Afon and Okewole (2007) carried out a study in the city of Oyo, Nigeria, to estimate the amount of waste generated in the houses of the city.…”

Section: Waste Generationmentioning

confidence: 99%

<b>Tax calculation proposal for waste collection based on the amount of residential solid waste</b> - doi: 10.4025/actascitechnol.v36i1.16933

2013

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ABSTRACT. This study aimed to elaborate a mathematical model to estimate the amount of residential solid waste (RSW) generated and thus, to propose an alternative methodology for calculating the waste collection tax (WCT) for the city of João Pessoa, in Northeast region of Brazil, based on the estimated amount of RSW generated rather than on the constructed area of the residence, as is the case for this city. The methodological procedures consisted of daily weighing of the RSW along with readings of water and electricity consumption in three multi-family buildings and two single-family houses in the city of João Pessoa. Results have shown that the RSW generation rate was 0.526 kg capita in houses (single-family residence). Results also indicated that water consumption was highly correlated with RSW generation and that it is possible to estimate the amount of RSW generated in a residence considering its population and water consumption. Based on this model, a new methodology for the WCT calculation was proposed: an alternative which relies on the estimated amount of RSW rather than on the constructed area.Keywords: RSW collection tax, case study in João Pessoa.Proposição do cálculo da taxa de coleta de resíduos, pela quantidade estimada de resíduos sólidos domiciliares: estudo de caso da cidade de João Pessoa, estado da Paraíba RESUMO. Este trabalho objetivou a elaboração de um modelo matemático para estimativa da quantidade gerada de resíduos sólidos domiciliares (RSD) e propor uma metodologia alternativa para o cálculo da taxa de coleta de resíduos (TCR) para a cidade de João Pessoa-PB, com base na quantidade estimada de resíduos e não na área construída da residência, como é o caso desta cidade. O procedimento metodológico consistiu em se pesar diariamente a quantidade de RSD, bem como efetuar a leitura do consumo de água e de eletricidade em três edifícios multifamiliares e duas residências unifamiliares na cidade de João Pessoa. Os resultados indicaram que a taxa de geração per capita de RSD foi de 0,526 kg hab em casas. Os resultados também mostraram que o consumo de água é fortemente correlacionado com a geração de RSD e que é possível estimar a massa de RSD, pela população e pelo consumo de água da edificação. Com base neste modelo, uma metodologia alternativa para o cálculo da TCR foi proposta, levando em conta a massa estimada de RSD e não a área construída da edificação.Palavras-chave: taxa de coleta de RSD, caso de João Pessoa.

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Sensorized waste collection container for content estimation and collection optimization

Cited by 78 publications

References 4 publications

Smart Garbage Collection System

Smart Garbage Collection System

ICT-based Strategies for Environmental Conflicts

<b>Tax calculation proposal for waste collection based on the amount of residential solid waste</b> - doi: 10.4025/actascitechnol.v36i1.16933

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