IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]

Boudville, Rozan and Abdul Wahab, Afif Luqmanulhakim and Wan Zukenani, Wan Izzat Hakimi and Mohd Khelmy, Muhammad Adly Hisyam and Khiruddin, Nur Raihah (2025) IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]. ESTEEM Academic Journal, 21. pp. 74-90. ISSN 2289-4934

Abstract

Headwater phenomena, characterised by rapid increases in river levels and flow velocity, pose significant risks to downstream communities. This study presents an Internet of Things (IoT)-based intelligent monitoring and alert system for detecting headwater phenomena in real time. The proposed system integrates multiple ESP32 microcontrollers with water level and rainfall sensors to monitor environmental parameters continuously. Data are transmitted to Firebase for cloud storage and further processed using Google Sheets for visualisation and analysis. A decision-making algorithm correlates rainfall intensity with water level changes to classify potential hazards and trigger appropriate alerts. Notifications are issued through an LCD display, buzzer, and Telegram alerts, ensuring timely responses. The system enhances early warning capabilities, minimises damage risks, and improves public safety in flood-prone regions. The integration of cloud computing and IoT technology ensures real-time monitoring, remote access, and automated data-driven decision-making. Experimental results demonstrate the system’s effectiveness in accurately detecting and responding to headwater-related hazards, making it a viable solution for disaster preparedness and mitigation.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Boudville, Rozan
rozan259@uitm.edu.my
Abdul Wahab, Afif Luqmanulhakim
UNSPECIFIED
Wan Zukenani, Wan Izzat Hakimi
UNSPECIFIED
Mohd Khelmy, Muhammad Adly Hisyam
UNSPECIFIED
Khiruddin, Nur Raihah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Chief Editor
Damanhuri, Nor Salwa
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Internet Protocol multimedia subsystem. Multimedia communications
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: ESTEEM Academic Journal
ISSN: 2289-4934
Volume: 21
Page Range: pp. 74-90
Keywords: Headwater, Internet of Things, ESP32, Google Sheet, Firebase, Real-time monitoring
Date: March 2025
URI: https://ir.uitm.edu.my/id/eprint/112679
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