LoRaWAN for tracking inland routes of plastic waste: Introducing the smart TRACKPLAST bottle

Stavros Ponis, George Plakas, Eleni Aretoulaki, Dimitra Tzanetou, Theodoros Nikolaos Maroutas
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引用次数: 3

Abstract

The aim of this paper is to showcase the work of the TRACKPLAST research project, first conceived in 2017 and submitted as a funding application in 2018, resulting in the development of the TRACKPLAST smart bottle and its successful tracking during its land journey, which to our knowledge constitutes the first non-GPS attempt to track plastic waste, identify its inland sources and follow its routes before it enters the sea. Waste tracking is made possible through the development of an open source LoRa-based wireless sensor network, enhanced with gateways and complemented by a cloud platform for the geolocation and visualization of bottle positions and routes. The project’s LoRa IoT sensor and antenna are seamlessly embedded in the specially designed TRACKPLAST bottle, which being identical and almost as light as the actual waste, can replicate close-to-true movement patterns when disposed in the environment. The pilot implementation of the proposed technology took place in the Greek island of Syros, where sixty-nine smart bottles were disposed freely in the environment between April 4 and May 5, 2022. The TRACKPLAST cloud platform was able to locate, track and visualize on a map, the signals of the smart bottles throughout their entire battery lifecycle and until June 24, 2022, when the last device stopped emitting its signal. The proposed solution aspires to contribute to the alleviation of marine plastic pollution, through the collection, processing and visualization of plastic waste movement data, which if treated properly can support decisions for improving the responsiveness and efficiency of waste management systems.

LoRaWAN用于跟踪塑料垃圾的内陆路线:推出智能TRACKPLAST瓶
本文的目的是展示TRACKPLAST研究项目的工作,该项目于2017年首次构思,并于2018年作为资金申请提交,最终开发出TRACKPLAS特智能瓶,并在其陆地旅程中成功跟踪,据我们所知,这是第一次非GPS跟踪塑料垃圾的尝试,确定其内陆来源,并在其入海前遵循其路线。通过开发基于LoRa的开源无线传感器网络,利用网关进行增强,并辅以用于地理定位和瓶子位置和路线可视化的云平台,废物跟踪成为可能。该项目的LoRa物联网传感器和天线无缝嵌入专门设计的TRACKPLAST瓶子中,瓶子与实际废物完全相同,重量几乎相同,在环境中处理时可以复制接近真实的运动模式。拟议技术的试点实施在希腊锡罗斯岛进行,2022年4月4日至5月5日期间,该岛共有69个智能瓶子在环境中自由处置。TRACKPLAST云平台能够在地图上定位、跟踪和可视化智能瓶的整个电池生命周期的信号,直到2022年6月24日,最后一台设备停止发出信号。拟议的解决方案旨在通过收集、处理和可视化塑料废物移动数据,为减轻海洋塑料污染做出贡献。如果处理得当,这些数据可以支持提高废物管理系统响应能力和效率的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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