Flood Prediction Using IoT Enabled Sensor Network and Machine Learning

S. Suresh
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Abstract

Floods are one of the most common natural disasters that affects humanity. Unless we take the proper precautions, it will endanger human life itself. Flood prediction using IoT enabled sensor network and machine learning outlines a very efficient way to properly understand and manage floods. This technology can be used to evaluate the risk of flooding, there by speeding up precautionary measures. IoT is a network of computing devices with unique identifiers which helps transferring data across the devices without interaction between human and computers. By using different sensors, information about various environmental conditions were collected and transfer it to google sheet with the help of IoT technology. The client can analyse the data in the form of dataset from a remote device and predict the risk of flood.
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利用物联网传感器网络和机器学习进行洪水预测
洪水是影响人类的最常见的自然灾害之一。除非我们采取适当的预防措施,否则它将危及人类的生命。使用物联网传感器网络和机器学习进行洪水预测,概述了一种非常有效的方法来正确理解和管理洪水。这项技术可以用来评估洪水的风险,从而加快预防措施。物联网是一个具有唯一标识符的计算设备网络,它有助于在设备之间传输数据,而无需人与计算机之间的交互。通过使用不同的传感器,收集各种环境条件的信息,并借助物联网技术将其传输到google sheet。客户端可以从远程设备以数据集的形式分析数据,并预测洪水的风险。
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