Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.
Polifactory-Dipartimento di Design, Politecnico di Milano, 20133 Milano, Italy.
Sensors (Basel). 2021 Dec 10;21(24):8278. doi: 10.3390/s21248278.
Future university campuses will be characterized by a series of novel services enabled by the vision of Internet of Things, such as smart parking and smart libraries. In this paper, we propose a complete solution for a smart waste management system with the purpose of increasing the recycling rate in the campus and provide better management of the entire waste cycle. The system is based on a prototype of a smart waste bin, able to accurately classify pieces of trash typically produced in the campus premises with a hybrid sensor/image classification algorithm, as well as automatically segregate the different waste materials. We discuss the entire design of the system prototype, from the analysis of requirements to the implementation details and we evaluate its performance in different scenarios. Finally, we discuss advanced application functionalities built around the smart waste bin, such as optimized maintenance scheduling.
未来的大学校园将以物联网带来的一系列新型服务为特色,如智能停车和智能图书馆。在本文中,我们提出了一个完整的智能废物管理系统解决方案,旨在提高校园内的回收利用率,并更好地管理整个废物循环。该系统基于智能垃圾桶的原型,能够使用混合传感器/图像分类算法准确地对校园内通常产生的垃圾进行分类,并且能够自动对不同的废物材料进行分类。我们讨论了系统原型的整个设计,从需求分析到实现细节,并评估了它在不同场景下的性能。最后,我们讨论了围绕智能垃圾桶构建的高级应用功能,例如优化的维护计划。