IOT-BASED FLOOD PREDICTION AND WARNING SYSTEM USING DAM DATA MONITORING

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Prajakta Ramdas Borhade; Prof. Shrishail S. Patil; Prof. Nitin M. Shivale; Samrudhi Ramdas Biradawade; Anagha Mansing Patil; Vaishnavi Mahesh Matre

IOT-BASED FLOOD PREDICTION AND WARNING SYSTEM USING DAM DATA MONITORING

Authors: Prajakta Ramdas Borhade, Prof. Shrishail S. Patil, Prof. Nitin M. Shivale, Samrudhi Ramdas Biradawade, Anagha Mansing Patil, Vaishnavi Mahesh Matre

Unique Paper ID: 172148
Volume: 11
Issue: 8
PageNo: 2439-2445

Keywords: No Keywords Found

Abstract:
The project aims to provide a cost-effective and technically feasible solution for early flood detection and disaster prevention. By leveraging IoT sensors such as water level, humidity, and temperature sensors, combined with microcontrollers (Arduino) and communication technologies like GSM and LoRaWAN, the system monitors real-time dam and environmental data. The data is transmitted to a cloud platform, where machine learning algorithms process it to predict potential flood risks. Alerts are then sent to local authorities and the public, enabling timely action. The technical feasibility of the project is ensured by using widely available hardware and software, which are scalable to monitor multiple dams. Economically, the system is built with low-cost components, and operational expenses are minimized through cloud infrastructure and energy-efficient IoT devices. Financially, the project offers a high return on investment (ROI) by reducing flood-related damage and potentially qualifying for government grants and disaster-prevention funding. The implemented system provides accurate real-time flood prediction with high reliability, due to the integration of IoT and machine learning technologies. The system successfully alerts local populations and authorities, reducing flood impacts. With minimal maintenance costs and low initial investment, the project proves to be financially viable, scalable, and effective in preventing flood disasters.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 2439-2445

IOT-BASED FLOOD PREDICTION AND WARNING SYSTEM USING DAM DATA MONITORING

Available:https://ijirt.org/article?manuscript=172148

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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