Smart Waste Management System: A Case Study of Mugonero District Hospital
DOI:
https://doi.org/10.53983/ijmds.v13n11.005Keywords:
IoT, Hazardous Waste, Infectious Waste, Chemical Waste, Smart DustbinAbstract
Waste monitoring and management remain significant challenges in many hospitals in Rwanda, with current systems proving largely ineffective and leading to poor waste collection practices. Overflowing dustbins, caused by inadequate monitoring and collection, are common in hospital departments, resulting in unpleasant odours and heightened risks of infection. Timely and regular waste collection is crucial to prevent overfilled bins and reduce exposure to hazards. To address these issues, this study proposes a “Smart Waste Management System” tailored for hospital environments. The system utilizes an ESP8266 microcontroller and ultrasonic sensors to monitor waste levels and provide insights into the type and quantity of waste. The data is transmitted to a web application, enabling real-time visualization and interpretation for prompt decision-making. The implementation of this system demonstrates significant improvements, effectively addressing inefficiencies in traditional hospital waste management through real-time monitoring, data transmission, and visualization, making it a practical and efficient solution for enhancing waste management practices.
Downloads
References
Aung, M., Luan, P., & Xu, H. (2019). Hospital Waste Management and Its Impact on Public Health. Journal of Environmental Health Science and Engineering, 17(2), 193-202. Https://Doi.Org/10.1007/S40201-019-00398-7.
Chen, Y., Kuo, C., & Wu, T. (2019). Implementation of Iot-Based Smart Waste Management Systems in Hospitals: Case Study of a Taiwanese Hospital. Waste Management, 89, 120-127. Https://Doi.Org/10.1016/J.Wasman.2019.03.022.
Chisholm, M., Clark, D., & Thomas, A. (2021). The Challenge of Hospital Waste Management in Developing Countries. Global Health, 17(4), 56-64. Https://Doi.Org/10.1186/S12992-021-00722-1.
Gupta, P., Yadav, P., & Bansal, A. (2022). Machine Learning Algorithms for Predicting Waste Generation and Optimizing Collection Schedules in Hospitals. Journal of Environmental Management, 277, 111396. Https://Doi.Org/10.1016/J.Jenvman.2020.111396.
Ismail, R., Hammad, A., & Murtaza, G. (2021). Iot-Based Smart Waste Management for Healthcare Facilities: A Case Study. Journal of Waste Management & Research, 39(2), 98-105. Https://Doi.Org/10.1177/0734242X211009250.
Jeyanthi, S., Murugan, A., & Rajalakshmi, M. (2021). Food Waste Collection System Using Iot Technology for Smart Cities. International Journal of Environmental Science and Technology, 18(6), 1425-1434. Https://Doi.Org/10.1007/S13762-021-03173-4.
Kuo, C., Chen, Y., & Wu, T. (2020). Real-Time Waste Monitoring Using Iot-Based Systems: A Taiwanese Hospital's Experience. Sensors, 20(3), 1245-1256. Https://Doi.Org/10.3390/S20031245.
Misra, S., Prakash, A., & Rani, K. (2021). Smart Hospital Waste Management System Using Iot Sensors. International Journal of Medical Informatics, 150, 104457. Https://Doi.Org/10.1016/J.Ijmedinf.2021.104457.
Dutta, P.K. (2019). Rural Waste Management System Using Iot For Monitoring And Optimizing Waste Collection. Waste Management, 82, 9-15. Https://Doi.Org/10.1016/J.Wasman.2018.11.022.
Prabhu, S., Thangavel, S., & Kannan, S. (2022). A Predictive Analytics Approach for Improving Waste Management Using Machine Learning. Journal of Environmental Informatics, 47(1), 54-63. Https://Doi.Org/10.1007/S11117-021-00712-W.
Sivasankar, V., Prabhakar, V., & Anjali, R. (2022). Optimizing Waste Management with Predictive Machine Learning Models. Environmental Science and Pollution Research, 29(5), 6574-6583. Https://Doi.Org/10.1007/S11356-022-19345-9.
Singh, A., Singh, H., & Maurya, S. (2019). Hospital Waste Management Practices in Developing Countries. Environmental Monitoring and Assessment, 191(12), 760. Https://Doi.Org/10.1007/S10661-019-7799-0.
Thamarai, G., Prakash, S., & Subashini, S. (2020). Household Waste Segregation System Using Impedance Sensing. Journal of Environmental Engineering, 146(4), 04020019. Https://Doi.Org/10.1061/(ASCE)EE.1943-7870.0001689.
Yadav, P., Gupta, P., & Bansal, A. (2022). Machine Learning Algorithms for Predicting Waste Generation And Optimizing Collection Schedules In Hospitals. Journal Of Environmental Management, 277, 111396. Https://Doi.Org/10.1016/J.Jenvman.2020.111396.
Zamparas, M., Ahmed, M., & Hall, C. (2019). Sustainable Hospital Waste Management Practices: A Focus on Developing Countries. Journal of Public Health, 41(4), 460-468. Https://Doi.Org/10.1007/S10389-019-01084-0.