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Home / Archives / Volume-7 / Issue-2 / Article-1

Volume - 7 | Issue - 2 | june 2025

Smart Aqua Control: IoT-Based Water Management and Motor Safety System Open Access
Hymlin Rose S G.  , Shaik Harshad, Venu Teja N., Vishnu Priyan S.  179
Pages: 108-124
Cite this article
G., Hymlin Rose S, Shaik Harshad, Venu Teja N., and Vishnu Priyan S.. "Smart Aqua Control: IoT-Based Water Management and Motor Safety System." Journal of IoT in Social, Mobile, Analytics, and Cloud 7, no. 2 (2025): 108-124
Published
03 June, 2025
Abstract

Efficient monitoring and control of heavy-duty water motors are essential for optimizing performance, preventing failures, and reducing maintenance costs. This paper presents an IoT-enabled motor health monitoring and remote operation system that integrates real-time sensor data acquisition, predictive maintenance, and automated control. The system employs an Arduino UNO board, ACS720 current sensor, DS18B20 temperature sensor, vibration sensor, and JSN-SR04T ultrasonic sensor to identify motor faults such as phase imbalance, overloads, and dry runs. A YF-S201 flow sensor and water level sensors facilitate effective water supply management. The system includes an LCD display and a web-based dashboard for real-time monitoring. Furthermore, machine learning models, including Linear Regression for efficiency prediction, Random Forest Regression for lifespan estimation, and Logistic Regression for failure detection, enhance predictive maintenance capabilities. The proposed system offers a cost-effective and automated solution for safe and efficient motor operation, thereby improving reliability in pumping stations and household water systems.

Keywords

Predictive Maintenance Remote Motor Operation Machine Learning for Fault Detection Real Time Data Acquisition

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