Presented at INFOCUS 2023
Session ID: 103600
Case study to achieve automated machine sensors to track and trace for machine condition monitoring
e.g., temperature, vibration etc. When thresholds are reached, send alarm or notification alert to trigger
maintenance and replace traditional calendar-based preventive and predictive maintenance approach with more
advanced and effective condition and predictive approaches to reduce cost, improve reliability and reduce
downtime and increase digitalization. Solution leveraged Internet of Things (IOT) Industry 4.0 through cloud-based
Bluetooth Low Energy (BLE) and automate transactions via Orchestrator and REST APIs for Maintenance WO
creation and processing.