Early detection and evaluation of waste through sensorized containers for a collection monitoring application |
| |
| Authors: | Alberto Rovetta Fan Xiumin Federico Vicentini Zhu Minghua Alessandro Giusti He Qichang |
| |
| Institution: | 1. Robotics Lab, Department of Mechanical Engineering, Politecnico di Milano, via La Masa 34, 20156 Milan, Italy;2. Computer Integrated Manufacturing Research Institute, Shanghai Jiao Tong University, Shanghai 200030, PR China;3. Shanghai Key Lab of Advanced Manufacturing Environment, Shanghai 200030, PR China;1. Posts and Telecommunications Institute of Technology (PTIT) Hanoi, Vietnam;2. Hanoi University of Sciences and Technology (HUST), Vietnam;3. Thuyloi University Hanoi, Vietnam;4. Vietnam National University of Agriculture, Vietnam;5. UMMISCO UMI 209 Lab, IRD/UPMC, France;1. Department of Logistics Management, National Kaohsiung First University of Science and Technology, No.1, University Road, Yanchao District, Kaohsiung City 824, Taiwan;2. Department of Transportation and Communication Management Science, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan;1. College of Environmental and Chemistry Engineering, Shanghai University of Electric Power, 2588 Changyang Road, Shanghai 200090, PR China;2. School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China;1. University of Trento, Department of Civil, Environmental and Mechanical Engineering, Via Mesiano, 77, 38123 Trento, Italy;2. I&S, Informatica e Servizi srl, Via Solteri, 74, 38121 Trento, Italy;1. Dept of Civil & Structural Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia;2. Dept. of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, 43000 Kajang, Malaysia;3. Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia;4. Dept of Electrical, Electronic and Systems Engineering, UKM, 43600 Bangi, Malaysia |
| |
| Abstract: | The present study describes a novel application for use in the monitoring of municipal solid waste, based on distributed sensor technology and geographical information systems. Original field testing and evaluation of the application were carried out in Pudong, Shanghai (PR China).The local waste management system in Pudong features particular requirements related to the rapidly increasing rate of waste production. In view of the fact that collected waste is currently deployed to landfills or to incineration plants within the context investigated, the key aspects to be taken into account in waste collection procedures include monitoring of the overall amount of waste produced, quantitative measurement of the waste present at each collection point and identification of classes of material present in the collected waste. The case study described herein focuses particularly on the above mentioned aspects, proposing the implementation of a network of sensorized waste containers linked to a data management system.Containers used were equipped with a set of sensors mounted onto standard waste bins. The design, implementation and validation procedures applied are subsequently described. The main aim to be achieved by data collection and evaluation was to provide for feasibility analysis of the final device. Data pertaining to the content of waste containers, sampled and processed by means of devices validated on two purpose-designed prototypes, were therefore uploaded to a central monitoring server using GPRS connection. The data monitoring and management modules are integrated into an existing application used by local municipal authorities.A field test campaign was performed in the Pudong area. The system was evaluated in terms of real data flow from the network nodes (containers) as well as in terms of optimization functions, such as collection vehicle routing and scheduling. The most important outcomes obtained were related to calculations of waste weight and volume. The latter data were subsequently used as parameters for the routing optimization of collection trucks and material density evaluation. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
