ODETOLA, AZEEZ OPEYEMI and Covenant University, Theses (2023) A SMART APPLICATION FOR MUNICIPAL SOLID WASTE RECYCLING. Masters thesis, COVENANT UNIVERSITY.
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Abstract
Sustainable municipal solid waste (MSW) management is a critical challenge faced by rapidly urbanizing regions, such as Lagos, Nigeria. The negative impacts of unchecked waste generation and poor waste disposal practices have become increasingly evident, necessitating innovative solutions to harmonize economic growth with environmental sustainability. This thesis proposes an IoT-based system to optimize MSW management in Lagos, Nigeria, by leveraging smart bins and the Analytic Hierarchy Process (AHP) for waste ranking. To address these challenges, the proposed IoT-based system incorporates smart bins equipped with weight sensor, microprocessor, and IoT connectivity. The system empowers households to create pickup requests and enables recyclers to set preferences for waste collection, optimizing resource allocation and efficiency. Additionally, the system uses AHP to systematically rank available recyclable waste, guiding recyclers' decision-making process. The system represents a transformative approach to municipal solid waste management in Lagos, Nigeria. Successful implementation of the system will require collaboration with local stakeholders (recyclers and households) and continuous improvement based on stakeholders’ feedback. This research lays the groundwork for future advancements in end-user sorting as a waste management practice and serves as a model for other urban areas facing similar challenges.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Municipal solid waste, Recycling, Analytical hierarchy process Machine learning, Forecasting, Smart cities. |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | AKINWUMI |
| Date Deposited: | 03 Oct 2023 13:12 |
| Last Modified: | 03 Oct 2023 13:12 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/17334 |
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