Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino

Abstract

Abstract Flood detection is a critical aspect of disaster management, aiming to provide timely alerts and mitigate potential damage. This research presents a novel approach to flood detection by integrating IoT Arduino technology with text-driven flood alert systems. The primary objective of this study is to design and develop a cost-effective and efficient flood detection system that leverages Internet of Things (IoT) capabilities to deliver real-time flood alerts through text messages. The methodology employed in this research involves the deployment of Arduino-based sensors in flood-prone areas to monitor water levels. These sensors continuously collect data and transmit it to a central processing unit, which analyses the data for flood patterns. When a potential flood is detected, the system sends instant text messages to local authorities and residents, enabling rapid response and evacuation if necessary. Additionally, the system allows users to customize alert thresholds and receive alerts based on their preferences, enhancing its user-friendliness. The contributions of this research are two-fold. Firstly, it introduces an innovative flood detection system that is not only affordable but also highly accessible to communities in flood-prone regions. By utilizing text messages, it ensures that alerts reach a wide audience, including those without access to smartphones or the internet. Secondly, the system's flexibility and customization options empower users to tailor alerts to their specific needs, promoting community engagement and preparedness. In conclusion, this research offers a robust flood detection solution that combines IoT technology with user-friendly text-driven alerts, ultimately enhancing disaster resilience in vulnerable regions.