Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Dam Management and Disaster Monitoring System using IoT
When dams are mismanaged, catastrophic damage may result as a result of unforeseen circumstances. Currently, most countries use manual systems to control and monitor dams, which are time-consuming and inaccurate. In order to resolve this problem, a method based on IoT is proposed to watch dams and play a role in disaster prevention. In order to remotely monitor the dams and ensure their safety, real-time data such as temperature, water level, rainfall, and water flow rate is collected. This allows for efficient alert systems that categorize potential threats as blue (low risk), orange (medium risk), or red (high risk) alerts via a mobile application. With this setup, experts can keep track of the situation, analyze it rapidly, and take any necessary action promptly, thus avoiding hazardous consequences. In accordance with the scenario and requirements, the dam operator has the privilege of either manually or automatically controlling the gates. The complexity of controlling or monitoring a large number of dams can be reduced by doing so, and the data gathered can be used to make accurate predictions. Similarly, drought is a component of disaster that can be mitigated to some extent with dams. The proposed system also demonstrates how drought can be avoided. This work is based on the Arduino open-sourced electronic platform.
Dam Management and Disaster Monitoring System using IoT
When dams are mismanaged, catastrophic damage may result as a result of unforeseen circumstances. Currently, most countries use manual systems to control and monitor dams, which are time-consuming and inaccurate. In order to resolve this problem, a method based on IoT is proposed to watch dams and play a role in disaster prevention. In order to remotely monitor the dams and ensure their safety, real-time data such as temperature, water level, rainfall, and water flow rate is collected. This allows for efficient alert systems that categorize potential threats as blue (low risk), orange (medium risk), or red (high risk) alerts via a mobile application. With this setup, experts can keep track of the situation, analyze it rapidly, and take any necessary action promptly, thus avoiding hazardous consequences. In accordance with the scenario and requirements, the dam operator has the privilege of either manually or automatically controlling the gates. The complexity of controlling or monitoring a large number of dams can be reduced by doing so, and the data gathered can be used to make accurate predictions. Similarly, drought is a component of disaster that can be mitigated to some extent with dams. The proposed system also demonstrates how drought can be avoided. This work is based on the Arduino open-sourced electronic platform.
Dam Management and Disaster Monitoring System using IoT
Dhinakaran, D. (Autor:in) / Udhaya Sankar, S. M. (Autor:in) / Latha, B. Charu (Autor:in) / Anns, A. Erlin Joy (Autor:in) / Sri, V. Keerthana (Autor:in)
23.03.2023
717582 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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