Flomosys: A Flood Monitoring System

Tai Groot, Behnam Dezfouli
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引用次数: 3

Abstract

The expansion of the Internet of Things (IoT) has led to numerous innovations in the industry, including improvements to existing systems. Disaster prevention and monitoring systems are a prime example of such systems. Every year, there are significant and preventable financial losses, not to mention the safety hazards caused by floods. To warn people ahead of time, we can deploy low-power wireless sensor nodes to send readings across any terrain to a cloud platform, which can perform pattern analysis, prediction, and alert forwarding to anyone’s cellular device. In this paper, we propose Flomosys, a low-cost, low-power, secure, scalable, reliable, and extensible IoT system for monitoring creek and river water levels. Although there are multiple competing solutions to help mitigate this problem, Flomosys fills a niche not covered by existing solutions. Flomosys can be built inexpensively with off-the-shelf components and scales across vast territories at a low cost per sensor node. In this paper, we present the design and implementation of this system as well as real-world test results.
Flomosys:洪水监测系统
物联网(IoT)的扩展导致了该行业的许多创新,包括对现有系统的改进。灾害预防和监测系统是这类系统的一个主要例子。每年都有重大的可预防的经济损失,更不用说洪水造成的安全隐患了。为了提前警告人们,我们可以部署低功耗无线传感器节点,将任何地形的读数发送到云平台,云平台可以执行模式分析、预测,并将警报转发到任何人的蜂窝设备。在本文中,我们提出Flomosys,一种低成本,低功耗,安全,可扩展,可靠和可扩展的物联网系统,用于监测小溪和河流水位。虽然有多种相互竞争的解决方案可以帮助缓解这一问题,但Flomosys填补了现有解决方案未涵盖的细分市场。Flomosys可以使用现成的组件以低廉的成本建造,并且每个传感器节点的成本很低,可以扩展到广阔的地区。在本文中,我们给出了该系统的设计和实现以及实际测试结果。
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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