5Real Time Monitoring of Industrial Machines using AWS IoT
Stephan Gerali
Enterprise Operations, Lockheed Martin Corporation, Bethesda, MD, USA
Abstract
How can companies and the national defense implement an Industry 4.0 smart manufacturing solution for IoT data capture, transformation, analytics and visualization for real‐time monitoring of manufacturing machines? This chapter covers multiple technologies in the IoT solution deployment to include: KepServerEX for edge connectivity to industrial protocols, AWS IoT Core for IoT data processing, Amazon S3 for scalable storage of IoT Data, MT Connect for a common data model for industrial machine telemetry data, Amazon EMR for interactive analytics of IoT data, Tableau for visualization of IoT data and unsupervised machine learning algorithms for automated anomaly detection for industrial telemetry data.
5.1 Problem Statement
The Internet of Things (IoT) has successfully disrupted our daily lives with the convenience, comfort and the valuable insights that it offers from smart thermostats to manage our homes, to remote door locks that lock our homes when we leave and to application‐controlled appliances to help with cooking and cleaning for our everyday life experiences.
The same transformation that we are seeing in our daily lives is now making its way into industrial use cases to help businesses and the national defense become more efficient with the deployment of their capital in the way that they design, manufacture and ...
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