LoRa-Based Smart Fault Detection and Monitoring system for Industries

In modern industries, unexpected machine failures lead to production loss, safety risks, and unwanted maintenance costs.To overcome this, continuous monitoring of industrial equipment is necessary to detect faults at an early stage.In this work, a LoRa-based smart industrial fault detection and monitoring system is developed for monitoring key machine parameters such as temperature, vibration, and current.The system uses LM35 temperature sensor, SW-420 vibration sensor, and ACS712 current sensor interfaced with an ATmega328 microcontroller.Real-time sensor data is analyzed and compared with predefined threshold values, and when any abnormal condition is detected, an alert is triggered.The measured values are also transmitted wirelessly using LoRa (Long Range communication) to a remote monitoring unit, which ensures long-distance and low-power industrial communication.This system helps industries to identify abnormal conditions at an early stage, avoid equipment damage, and improve workplace safety.Experimental results show that the developed system successfully detects faults and provides reliable monitoring with low cost and low power consumption.The proposed system can be extended for cloud-based data logging and predictive maintenance for smart industrial automation applications.