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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Adaptive Flood-Drain Control System (AFDCS): A Sensor–AI Framework for Automated Urban Water Drainage

Authors: Imannudin, Iman;

Adaptive Flood-Drain Control System (AFDCS): A Sensor–AI Framework for Automated Urban Water Drainage

Abstract

This paper presents the Adaptive Flood-Drain Control System (AFDCS), an automated sensor-based framework designed for real-time management of localized urban flooding and standing water. The proposed system integrates multi-level water height sensors, microcontroller-based signal processing, and AI-assisted pump control logic to regulate water removal based on dynamic environmental conditions. A prototype demonstration shows that the system can automatically classify flood levels and activate a DC/AC pump with variable speed to accelerate water drainage. This model contributes an affordable and scalable solution for flood mitigation in low-lying residential areas.In practical implementation, the pump is strategically installed at the primary drainage outlet, while the sensor module, powered by a solar panel, is positioned at the lowest flood-prone point. This configuration ensures accurate detection and efficient removal of standing water toward the main drainage system

Keywords

Artificial intelligence, Artificial Intelligence, Smart drainase, Internet of Things, Enviromental automation, Water level sensor, Flood control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green