NEXUS OF WIREFRAMES, 3D MODEL, AND SIMULATION FOR THE DEVELOPMENT OF AN INTELLIGENT WASTE MANAGEMENT SYSTEM
DOI:
https://doi.org/10.33003/fjs-2024-0806-3020Keywords:
Intelligent. Waste Management, Wireframes, 3D modeling, Simulation Technologies, Sustainability, Integrated prototypingAbstract
The exponential growth in urban population has intensified the challenges of municipal waste management, necessitating innovative technological solutions. This research presents an integrated approach to developing a smart waste management system by integrating wireframes, 3D modeling, and simulation technologies. The study employs a three-phase methodology: utilizing wireframe prototyping for user interface design, enabling iterative development based on stakeholder feedback, implementing detailed 3D modeling of smart waste bins to visualize and optimize waste flow dynamics, and conducting comprehensive simulations to evaluate system performance under various scenarios. The simulation analysis compared multiple routing algorithms while monitoring real-time bin capacity through virtual sensors. Results demonstrate a 25% improvement in collection efficiency using dynamic routing compared to traditional fixed routes and a 30% reduction in overflow incidents through predictive capacity monitoring. The user-centered design approach, validated through wireframe testing with 50 participants, showed a 40% increase in system engagement compared to conventional waste management interfaces. Additionally, the 3D modeling phase identified critical design modifications that improved bin accessibility by 35% and reduced maintenance requirements by 20%. This research contributes to the growing knowledge of smart city solutions while providing practical insights for municipalities seeking to modernize their waste management. infrastructure. The proposed system offers a scalable, efficient approach to addressing urban waste challenges while promoting environmental sustainability. A limitation of the study is its reliance on simulation-based testing, which may not fully represent real-world operational complexities. A major challenge is implementation dependency on continuous stakeholder engagement and high reliance on technological infrastructures.
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