使用物联网和机器学习的斯里兰卡城市固体废物管理系统

Tharuni Baddegama, Hashini Ariyasena, S. Wijethunga, Malsha Bowaththa, D. Nawinna, Buddhima Attanayake
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引用次数: 0

摘要

固体废物管理已成为斯里兰卡城市地区的一个严重问题。本文源于一项旨在确定基于信息和通信技术的有效管理固体废物的解决方案的研究。该解决方案主要包括定位常见垃圾热点并在地图上显示、制定垃圾收集动态时间表、开发基于物联网的智能组件识别溢出垃圾箱并自动通知市政、垃圾收集者服务评级机制等功能。为了将这些解决方案结合在一起,在一个单一的平台上,已经设计和开发了一个具有所有必要功能的web应用程序。该项目的最终目标是在问题恶化之前有条不紊地管理垃圾处理,并对垃圾收集者的服务进行评估。这项研究的结果有助于信息和通信技术促进发展的实践和文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solid-Waste Management System for Urban Sri Lanka Using IOT and Machine Learning
Solid waste management has become a serious concern in urban areas of Sri Lanka. This paper arises from a study that aims to identify an Information and Communication Technology-based solution for managing solid waste effectively. This solution mainly includes features such as locating common waste hotspots and displaying them on a map, developing a dynamic schedule for collecting garbage, developing an Internet of Things-based smart component to identify the overflowing garbage bins by and automatically notify the municipal council, and a service rating mechanism for garbage collectors. To bring these solutions together, on a single platform, a web application has been designed and developed with all the necessary features. The project’s end goal is to manage disposal methodically before the problem becomes worse and to appraise trash collectors for their service. The findings of this study contribute to the practice and literature on Information and Communication Technology for Development.
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