物联网洪水监测系统用于加强大坝监测和降低风险

Thirumarai Selvi C, Sankara Subbramanian R.S, Muthu Krishnan M, Gnana Priya P
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引用次数: 0

摘要

根据印度的情况,大多数用于蓄水的水库都是独立运行的,这在发生危机(异常流入、阴天)时就会出现问题,导致周边社区和农业区被这些含水层淹没。由于地域广阔、水深较深,人工测量重要的水库寿命指标具有挑战性。因此,这项研究工作提出了一种先进的水库管理系统,其中包括适合测量压力、水位、流出速度、流入速度、倾斜、振动等变量的传感器。Arduino Uno 集成了所有传感器,Microsoft Power BI 实时接收数据,并以适当格式显示每个参数,实现可视化。如果水位紧急上升,则会发出警报。该程序从传感器收集数据开始,最后将数据显示在位于远处的控制室的仪表盘上,该仪表盘链接到一个网站,游客可以在该网站上看到相关信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT-Enabled Flood Monitoring System for Enhanced Dam Surveillance and Risk Mitigation
According to the Indian scenario, the majority of reservoirs for holding water are operated independently, which is problematic when there are crises (abnormal inflow, cloudy conditions), which causes the surrounding communities and agricultural areas to be submerged those aquifers. Due to the vast geographic region and depth, it is challenging to manually measure the essential reservoir life metrics. Therefore, this research work suggests a cutting-edge system of reservoir management that includes sensors that are appropriate for measuring variables such as pressure, water level, outflow velocity, inflow velocity, tilt, vibration, etc. The Arduino Uno integrates all of the sensors, and Microsoft Power BI receives the data in real time, where each parameter is shown in an appropriate format for visualization. In case of an emergency water level rise, the alarm is set off. The procedure begins with the collection of data from sensors and concludes with the presentation of that data on a dashboard in a control room situated in a distant place that links to a website where the relevant information can be seen by visitors.
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