IOT-Based Industrial Equipment Monitoring System

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

IOT, Industrial Monitoring, MEMS Sensor, Fault Detection, Predictive Maintenance, Smart Industry

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