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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48262

Integrated Dam Automation System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48262

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48262

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

PHBR

Prof. Harsha B R

SDG

Shreya D G

SBL

Shakunthala B L

PB

Parinitha B

TAP

Tejaswini A P

Author Services & Downloads

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Abstract

Dams are vital for water storage, flood prevention, and energy generation, yet managing them effectively requires continuous monitoring and timely intervention. This paper presents an IoT-based Integrated Dam Automation System aimed at enhancing dam safety and operational efficiency. The system is designed around three core functions. The real-time water level monitoring is achieved using appropriate sensors and automated gate control mechanisms to maintain safe water levels and structural health is monitored through a vision-based crack detection system utilizing a standard laptop camera and image processing techniques, enabling early identification of potential damage. A remote notification module is implemented using Telegram to alert relevant personnel in real time about high water levels or detected structural faults. By integrating these components, the system minimizes manual intervention, promotes proactive maintenance, and supports responsive decision-making to prevent structural failures and environmental hazards.

KEYWORDS

IoT Dam Automation Water Level Monitoring Structural Health Monitoring Crack Detection ESP32 Image Processing Telegram Alerts Real-Time Monitoring Automated Gate Control

Cite This Article

Prof. Harsha B R, Shreya D G, Shakunthala B L, Parinitha B, Tejaswini A P, "Integrated Dam Automation System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48262

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Publication Date

5/19/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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

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