IoT-enabled Condition Monitoring and Intelligent Maintenance System for Machine

Abstract

Internet of Things (IoT) for industrial automation system is an innovative approach for remote monitoring of machine components and its processes. Condition monitoring of machines through traditional methods requires manpower, consumes time, and interprets the production process. This empathizes the need for remote monitoring of machine using IoT system. Real-time data monitoring of computer numerical control (CNC) turning center machine are important to increase the productivity. Real-time data of machine were collected from the various external sensors and programmable logic controller (PLC) system which has been connected to gateway through data acquisition board for condition monitoring. IoT system was directly connected with individual devices as well as with the control panel of the system to retrieve data. The data collected meaningfully was interpreted and analyzed by PTC ThingWorx IoT platform. The image target-based augmented reality virtual environment was created for real-time data visualization. This provides a provision for the manufacturer to monitor the condition of the system and to identify the device failure within the system. In the proposed IoT-enabled maintenance system, the overall equipment effectiveness (OEE) and theoretical tool life are visualized in real-time manner from the remote place.