An IoT-based System for Landslides Warnings Using a Real Time Slope Monitoring Model

João A. Souza, Ana Beatriz C. Pinho, C. Ferreira, A. Monteiro, F. Henriques
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Abstract

ABSTRACTThis work presents an IoT-based system for remote monitoringof landslides. The solution uses a Wireless Underground SensorNetwork (WUSN), a cloud computing platform and an App to implementa real time monitoring scheme. The sensor network runson Arduino components connected through Wi-Fi modules, andis responsible to collect soil moisture rates. Then, the collecteddata is sent to a cloud computing environment in order to ensurea robust and secure storage. Moreover, the cloud platform runsa model for triggering an alarm when a potential landslide is detected.Finally, an App aimed to data visualization in real time andlandslides warning is also presented. The proposed work enables areal time end to end solution, once it starts with the data collectedby the humidity sensors and finishes with the data visualization bythe citizens, which is very suitable for Smart Cities and Internetof Things (IoT) environments. The system was evaluated throughreal tests and simulated scenarios. The results show the sensornetwork accurately measured the soil moisture and the landslidesmonitoring model was able to send warnings consistently.
基于物联网的滑坡实时监测预警系统
摘要本文提出了一种基于物联网的滑坡远程监测系统。该方案采用无线地下传感器网络(WUSN)、云计算平台和App实现实时监控方案。传感器网络由Arduino组件运行,通过Wi-Fi模块连接,负责收集土壤湿度。然后,将收集到的数据发送到云计算环境,以确保健壮和安全的存储。此外,云平台运行一个模型,当检测到潜在的滑坡时触发警报。最后,介绍了一款用于数据实时可视化和滑坡预警的应用程序。提出的工作实现了实时的端到端解决方案,从湿度传感器收集的数据开始,到公民的数据可视化结束,这非常适合智慧城市和物联网(IoT)环境。该系统通过实际测试和模拟场景进行了评估。结果表明,该传感器网络能够准确地测量土壤水分,滑坡监测模型能够一致地发出预警。
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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