Smart Garbage Bin Monitoring and Alert System Framework for Tourist Spots in Daet, Camarines Norte

Abstract

Traditional waste collection methods in tourist hotspots struggle to adapt to dynamic fluctuations in tourist activity. This research proposes a smart waste management framework that leverages Internet of Things (IoT) technology to optimize waste collection and promote responsible waste disposal practices. Smart bins equipped with various sensors form the backbone of the system. Ultrasonic sensors continuously monitor fill levels, while GPS modules provide precise location data.  A communication protocol, like MQTT, facilitates efficient and reliable data transmission to a central cloud platform.  The cloud platform securely stores all collected data, including sensor readings, timestamps, and GPS coordinates.  Data analytics tools are then applied to uncover patterns and trends in waste generation. Time-series analysis allows for a temporal understanding of waste level fluctuations. This can reveal peak generation times associated with tourist activity surges or events. Spatial analysis, visualized through user-friendly dashboards, helps identify areas with consistently high or low waste generation patterns.  This empowers waste management personnel to optimize collection routes, minimizing travel distances and fuel consumption. This research proposes a novel data-driven framework for smart waste management in tourist hotspots.  The framework leverages IoT technology and data analytics to optimize waste collection, promote environmental responsibility, and enhance the overall tourist experience. This approach paves the way for a more sustainable future for tourist destinations, ensuring a balance between economic growth and environmental protection.