采用LPWAN物联网技术的智能水网管理

M. Saravanan, Arindam Das, Vishakh Iyer
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引用次数: 58

摘要

随着世界人口以稳定的速度增长,以有效的方式为大众提供清洁的水是现代面临的最大挑战之一。控制水流使其不被浪费是另一个挑战。水流通常是通过水闸来控制的,人工控制这些水闸往往是一个漫长的过程。由于最近的技术进步和农村地区连通性的增加,物联网设备系统被证明是管理水网的替代方案。在我们的研究中,我们探索了一种新的低功耗广域网(LPWAN)技术,称为LoRa,用于这些物联网设备的通信。LoRa设备可以在2-4公里的范围内进行通信,同时使用持续数年的电池。作为一个试点项目,我们在安得拉邦戈达瓦里地区东部靠近孟加拉湾的莫里村实施了智能水网管理系统。本文提出的水网管理系统包括部署在不同战略选择位置的不同传感器,通过生成实时数据来测量水质。该系统还提供警报机制,在出现任何问题时通过电子邮件和短信通知不同级别的当局。此外,它还提供了一个解决方案来处理村里和周围已经使用的水闸,以及时控制水流。在LoRa模块中连接微控制器的传感器将通过LoRa网关与云环境通信。一个网页为居民和当局提供了使用预测算法分析数据后测量水质的界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart water grid management using LPWAN IoT technology
As the world population increases at a steady rate, providing clean water to the masses in an efficient manner is one of the biggest challenges faced in the modern era. Controlling the flow of water so that it doesn't go to waste is another challenge. Water flow is generally managed through locks and manually controlling these gates often turn out to be a long-winding process. Due to recent technological progress and increased connectivity in rural areas, a system of IoT devices proved to be alternative for managing the water grid. A new Low Power Wide Area Network (LPWAN) technology called LoRa is explored in our study for the communication of these IoT devices. The LoRa devices can communicate within a range of 2–4 KMs while running on batteries that last for years. As a pilot project, we implemented a smart water grid management system in Mori, a village in the eastern Godavari district in Andhra Pradesh situated near to Bay of Bengal. The water grid management system proposed in this paper involves different sensors deployed at various strategically chosen locations to measure the quality of water by generating real time data. The system also provides an alert mechanism which notifies the different level of authorities through email and SMS in case of any issues. Furthermore, it provides a solution for handling the locks that have been employed in and around the village to control the flow of water in a timely manner. The sensors attached with a micro controller in the LoRa module will communicate to the cloud environment through the LoRa gateway. A web page provides the interface to the residents and to the authorities to gauge the water quality after analyzing the data using the prediction algorithm.
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