Smart Flood Sensor Network with API for Real-Time Data and Alerts

Flood disasters pose significant threats, causing material losses and environmental damage. To mitigate these impacts, this study proposes an early flood warning monitoring system based on the Internet of Things (IoT). The system integrates an ultrasonic sensor with a water level sensor to measure river levels and uses GSM modules to provide early alerts. The methodology involves a prototyping approach with stages for designing, implementing, and evaluating the system based on actual environmental needs. Additionally, the system incorporates REST API technology for efficient data collection, processing, and sharing, enabling seamless communication through SMS or other platform services to enhance flood monitoring and disaster management.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/iciss62896.2024.10751366
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
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article

Smart Flood Sensor Network with API for Real-Time Data and Alerts

Ridwan Setiawan, Leni Fitriani, Arif Hakim, Ade Sutedi
Anomaly Detection Techniques and Applications
article

Smart Flood Sensor Network with API for Real-Time Data and Alerts

Ridwan Setiawan, Leni Fitriani, Arif Hakim, Ade Sutedi
article en

Abstract

Flood disasters pose significant threats, causing material losses and environmental damage. To mitigate these impacts, this study proposes an early flood warning monitoring system based on the Internet of Things (IoT). The system integrates an ultrasonic sensor with a water level sensor to measure river levels and uses GSM modules to provide early alerts. The methodology involves a prototyping approach with stages for designing, implementing, and evaluating the system based on actual environmental needs. Additionally, the system incorporates REST API technology for efficient data collection, processing, and sharing, enabling seamless communication through SMS or other platform services to enhance flood monitoring and disaster management.

Universitas Garut (ID), Institut Teknologi Garut
Climate action
Openalex Percentile: Top 81%
Anomaly Detection Techniques and Applications
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