论文标题
智能废物管理系统的基于物联网的路线建议
IoT-based Route Recommendation for an Intelligent Waste Management System
论文作者
论文摘要
物联网（IoT）是一个范式，其特征是嵌入式传感器和服务网络。这些传感器被合并以收集各种信息，跟踪物理状况，例如废物箱的状态以及与不同的集中式平台交换数据。对这种传感器的需求正在增加。但是，技术的扩散带来了各种挑战。例如，如何使用IoT及其相关数据来增强废物管理？在智能城市，有效的废物管理系统至关重要。人工智能（AI）和支持物联网的方法可以使城市能够管理废物收集。这项工作提出了一种智能方法，可以在给定空间限制的情况下在具有IOT的废物管理系统中路由建议。它基于基于AI的方法进行了彻底的分析，并比较了它们的相应结果。我们的解决方案基于一个多层决策过程，在该过程中，考虑箱的状态和坐标以解决路由问题。这样的基于AI的模型可以帮助工程师设计可持续的基础设施系统。
The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical conditions, e.g., waste bins' status, and exchange data with different centralized platforms. The need for such sensors is increasing; however, proliferation of technologies comes with various challenges. For example, how can IoT and its associated data be used to enhance waste management? In smart cities, an efficient waste management system is crucial. Artificial Intelligence (AI) and IoT-enabled approaches can empower cities to manage the waste collection. This work proposes an intelligent approach to route recommendation in an IoT-enabled waste management system given spatial constraints. It performs a thorough analysis based on AI-based methods and compares their corresponding results. Our solution is based on a multiple-level decision-making process in which bins' status and coordinates are taken into account to address the routing problem. Such AI-based models can help engineers design a sustainable infrastructure system.
