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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM34015

IoT-based Disaster Monitoring and Management System for Dams

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM34015

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM34015

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BBC

Bipin Bihari Chauhan

ZA

Zeya Arshad

SS

Sarhan Sohail

MS

Manish Sharma

MSY

Ms Savita Yadav

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Abstract

Dams hold great significance due to their role in generating hydroelectricity and facilitating irrigation. Over the years, numerous dams have been constructed in various locations, but their existence presents several risks. Consequently, it is crucial to establish an effective monitoring and management system for dams to maintain safe water levels and prevent man-made disasters. At present, dams in our state are managed manually, which can lead to errors and decision-making delays. This project aims to design and implement an IoT-based Disaster Monitoring and Management System for Dams . The system will monitor water levels in real-time for a group of dams, taking into account factors such as changes in water levels of connected rivers or lakes and excessive rainfall in the catchment area. The proposed an IoT-based Disaster Monitoring and Management System for Dams includes a mechatronics system that automatically adjusts shutter heights based on pre-calculated values. The system comprises sensor nodes, a smart controller, and a communication system, and operates in two modes: Autopilot and Manual data. The app-based IoT system will monitor and transmit real-time parameters related to dam conditions (gate position, water discharge, water level) and weather conditions (rainfall, temperature, humidity). Furthermore, the system will provide SMS alerts to local residents and SOS alerts to rescue operations during adverse weather conditions.

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Cite This Article

Bipin Bihari Chauhan, Zeya Arshad, Sarhan Sohail, Manish Sharma, Ms Savita Yadav, "IoT-based Disaster Monitoring and Management System for Dams," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM34015

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Publication Date

12/31/45426

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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