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