DEVELOPMENT OF AN IOT-BASED WASTE MANAGEMENT SYSTEM
Keywords:
Microcontroller, Correlate, Population, Functionality, ESP32, WasteAbstract
This research appropriately outlines the methodology employed in the development of a smart waste management system equipped with sensors for data collection on waste disposal. The material selection process is detailed, highlighting the criteria for choosing suitable components. The research is on the functionality of ESP32 microcontroller selection over other alternative microcontrollers. The ESP32 microcontroller is a wonderful choice for this research because it can be programmed in a variety of other programming languages, including Python, C++, MATLAB, and a whole host of others. The GPS Module and ESP32 sensors were connected and put within an enclosed box, which is mounted at the front of the bin. The Ultrasonic sensor is mounted inside the bin, at the top of the cover, for effective calculation of the distance of waste/Fill level. The real-time monitoring device's hardware, designs component selection, and data transmission components to ensure adequate monitoring of the Bins. The result from the Smart Bin data analyzed shows how waste disposal rates correlate with population density. The work underscores the relationship between population density and waste generation, examining factors such as economic development, urbanization, consumer behavior, and waste management infrastructure. By implementing such a system, we can achieve better waste management practices, reduce cost, and create a cleaner and healthier environment for everyone. The research emphasizes the performance testing of the developed system and offers insights into maintenance procedures. Implementing a robust system for continuous monitoring and regular maintenance of smart bins is imperative. This involves establishing protocols for real-time data analysis and promptly addressing any technical issues that may arise. Such measures are essential to ensure the longevity and effectiveness of the deployed IoT-enabled waste management infrastructure. In conclusion, considerations for comprehensive waste management strategies should be made by recognizing the complex interplay of social, economic, and environmental factors in waste disposal rates.
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