A Study On Impact Of Implementing Waste Management Systems In Bhagalpur, Bihar, Using Iot (Internet Of Things)
Main Article Content
Abstract
Clean, healthy ecosystems need waste management. Waste collection, disposal, and resource efficiency are issues in Bhagalpur, Bihar. IoT can improve Bhagalpur's waste management, save money, and ensure sustainability. IoT waste management might green Bhagalpur. Real-time monitoring, predictive analytics, public involvement, and data-driven decision making may improve Bhagalpur's environment, resource consumption, and quality of life. IoT trash management makes Bhagalpur greener and more efficient.Real-time IoT garbage bin fill sensors manage trash. Bin fill sensors save time, reduce trips, and enhance collection routes for trash management companies. IoT-enabled trash management helps Bhagalpur disperse resources. New vehicles, sensor data, and frequency changes may help authorities find high-waste areas. Optimizing fuel, carbon, and operations saves money. Manage waste IoT allows Bhagalpur predictive analytics. The system predicts waste generation and optimizes collection routes using historical and real-time data. This proactive approach reduces manual route planning, trip distance, and trash collection time. The idea monitors public and private garbage cans using PBLMU and HBLMU end sensors. Centrally stored and analyzed PBLMU and HBLMU waste bin empty levels and locations. Garbage collectors check cans for emptyness using a sophisticated GUI. These important tests validated system architecture: Eight trash cans with loRaWAN, eight HBLMUs and Wi-Fi. Intelligent interfaces monitored empty trashcans.PBLMUs' average current use was determined by monitoring sleep and active current contributions using an experimental device. PBLMU monitors public bin levels using sensor nodes. This architecture optimizes LoRaWAN wi-fi network and sensor node collection. Intelligence nodes monitor unit data. MSWN sensors were connected by another writer.