In this session I will focus on how to best understand, visualize and analyze data from a baggage handling system consisting of thousands of moving parts installed in a conveyor system several kilometers long. I will go into how we use a combination of existing system logs and new IoT data sources to improve our predictive maintenance capabilities. Additionally, I will show how we have developed a 3D visualization platform enabling projection of live data and analytics results onto a model of the running system.
Key Takeaways
- Monitoring long term degradations and rare events through existing system logs
- Combining IoT data with system logs for increased systems transparency
- Using a digital twin to visualize system performance
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