IOT-Based Industrial Equipment Monitoring System
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Industrial machinery is highly susceptible to faults such as oil leakage, overheating, excessive vibration, and abnormal current consumption, which may lead to equipment damage, production loss, or safety hazards. This paper presents an IoT-based industrial monitoring and protection system that continuously observes machine health parameters including vibration direction, temperature, oil leakage, and motor current consumption.
The system uses a MEMS accelerometer to detect vibration intensity and direction, along with temperature sensors, oil leakage sensors, and current sensors to monitor critical operational conditions. When abnormal conditions are detected, the system automatically stops the motor using a motor driver and activates a buzzer for immediate alert.
Additionally, all sensor data and total current usage are transmitted to an IoT platform for real-time monitoring and notifications. This system enhances equipment safety, reduces downtime, improves operational efficiency, and supports predictive maintenance in modern industrial environments
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References
Jilani et al. (2025) – Explores leveraging IoT to monitor equipment health and prevent failures that could disrupt supply chains, emphasizing the role of predictive maintenance in operational continuity.
Maity, Darshan, & Chauhan (2025) – Discusses how IoT-enabled industrial equipment monitoring systems use smart data analytics to optimize maintenance schedules, reduce downtime, and improve efficiency.
More, Kendule, & Kedar (2024) – Provides a comprehensive review of industrial IoT monitoring, summarizing current trends, challenges, and opportunities for implementing
Katya & Rahman (2022) – Highlights IoT-based asset condition monitoring, showing how predictive maintenance strategies can increase equipment lifespan and operational reliability.
Springer (2022) – Introduces a low-cost industrial IoT system for wireless monitoring of electric motors, emphasizing affordable solutions for continuous equipment condition monitoring.
Aravind et al. (2021) – Focuses on real-time IoT-based data monitoring in industrial environments, presenting practical approaches for collecting, transmitting, and analyzing machine performance data.
International Journal of Scientific Research in Science & Technology (2021) – Explores machine monitoring systems using IoT to improve performance tracking, demonstrating enhancements in operational efficiency.
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