管理电子废物包括收集它,以低成本提取有价值的金属,并确保环境安全处置。然而,由于电子垃圾的扩张,监控这一过程变得具有挑战性。借助LoRa-LPWAN等IoT技术,收集前监测变得更具成本效益。本文介绍了一种利用LoRa-LPWAN标准的电子垃圾收集和回收系统,整合边缘和雾层的智能。该系统激励WEEE持有者,鼓励参与创新的收集过程。市政府使用创新卡车监督这一过程,GPS,LoRaWAN,RFID,BLE技术。物联网性能因素分析和定量评估(LoRa上的延迟和碰撞概率,Sigfox,和NB-IoT)证明了我们激励驱动的IoT解决方案的有效性,特别是与LoRa标准和EdgeAI集成。此外,成本估算显示了LoRaWAN的优势。此外,拟议的基于物联网的电子废物管理解决方案承诺节省成本,利益相关者信任,通过简化流程和人力资源培训,实现长期有效性。与政府数据库的集成涉及数据标准化,API开发,安全措施,和有效管理的功能测试。
Managing e-waste involves collecting it, extracting valuable metals at low costs, and ensuring environmentally safe disposal. However, monitoring this process has become challenging due to e-waste expansion. With IoT technology like LoRa-LPWAN, pre-collection monitoring becomes more cost-effective. Our paper presents an e-waste collection and recovery system utilizing the LoRa-LPWAN standard, integrating intelligence at the edge and fog layers. The system incentivizes WEEE holders, encouraging participation in the innovative collection process. The city administration oversees this process using innovative trucks, GPS, LoRaWAN, RFID, and BLE technologies. Analysis of IoT performance factors and quantitative assessments (latency and collision probability on LoRa, Sigfox, and NB-IoT) demonstrate the effectiveness of our incentive-driven IoT solution, particularly with LoRa standard and Edge AI integration. Additionally, cost estimates show the advantage of LoRaWAN. Moreover, the proposed IoT-based e-waste management solution promises cost savings, stakeholder trust, and long-term effectiveness through streamlined processes and human resource training. Integration with government databases involves data standardization, API development, security measures, and functionality testing for efficient management.