Abstract
The purpose of this study is to generate a robust waste transportation system for the city of Kolkata to the proposed waste-to-energy (WTE) plant and to the existing composting plant. WTE plants are concerned with generating power thus inorganic fragments is the primary concern, on the other hand composting plants primarily needs organic fragments. In this study, a database management system (DBMS) was developed for selecting the compactor waste which will be towed to the truck to be carried to the WTE plant or composting plant. The waste-to-energy plant will be able to identify the waste composition coming to the plant, thus making the supply chain more holistic and robust. The parameter was identified from literature review, and a field study was carried out to identify the composition of wastes dumped into compactor in different areas. The composition of the waste is then gauged by the image sensing process. The algorithm will have a predefined value based on which the truck destination will be decided. The data of different trucks carrying waste will be stored in the DBMS. The system will reduce the transportation cost considerably by making the decision as soon as the waste arrives at the compactor. The results if implemented could reduce the cycle time and could provide an effective solution to analyze the waste before it is transported to the plants. The DBMS-image sensing system (DBMS-ISS) will analyze the surface characteristics of the waste. Thus, this process will generate the approximate composition of the waste.
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Baidya, R., Saha, I., Bhattacharya, T., Ghosh, S.K. (2020). Sustainable Waste Transportation in Kolkata Using DBMS and Image Sensing. In: Ghosh, S. (eds) Waste Management as Economic Industry Towards Circular Economy. Springer, Singapore. https://doi.org/10.1007/978-981-15-1620-7_13
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