Predictive Maintenance for An Industrial Robotic Arm Using LoRa Technology

Industrial Internet of Things (IIoT) systems play a pivotal role in enabling real-time monitoring and analysis of equipment to prevent breakdowns and optimize performance. Predictive maintenance stands as a critical component of IIoT systems, allowing industries to anticipate equipment failures, minimize downtime, and enhance overall equipment effectiveness. This paper investigates the potential of Long Range (LoRa) technology in predictive maintenance applications within IIoT systems. Specifically, the study delves into the utilization of LoRa technology to bolster predictive maintenance capabilities, with a focus on a live prediction analysis demonstration conducted on an industrial robotic arm. The research presents a detailed test bed setup for conducting predictive maintenance, which involves capturing data from the robot, transmitting it to a LoRaWAN gateway, enabling prediction of normal or abnormal behavior in the robotic arm. This study provides insights into the efficacy of LoRa technology in enhancing predictive maintenance capabilities within IIoT systems.