Digital transformation in manufacturing fundamentally involves transforming unprocessed data into valuable insights to guide business decisions through automated systems or human intervention.
Consequently, implementing a well-thought-out data modelling strategy is key to successful digital transformation as it helps to express the meaning of the data to digital systems.
To learn more about Data modelling for Industrial IoT in general and for Digital Twin use cases in particular, I had a podcast conversation with Erich Barnstedt.
Erich is the Chief Architect for Standards, Consortia and Industrial IoT in the Azure Edge and Platform team at Microsoft
Here's the outline of our conversation
✅ Importance of data modelling for Industrial IoT.
✅ Key Elements of an Effective IIoT Data Model
✅ Standardising Configuration Interface for OPC UA Connectivity Mapping
✅ Manufacturing Ontologies Reference Solution for Digital Twins
✅ UA Cloud Publisher and UA Cloud Twin for Mappping Industrial Assets to Azure Digital Twins using ISA95
✅ Significance of UA Cloud Commander at the Industrial Edge
✅ OPC UA Information Model Integration using UA Cloud Library
✅ Data Modelling Standards
✅ Web of Things for Endpoint and Interface Description of Industrial Assets.
✅ ChatGPT for fully automating onboarding of non-discoverable industrial assets
✅ Converting proprietary interfaces into OPC UA Information Model using UA Edge Translator.
✅ The role of the IEC/ISO in standardizing data models for IIoT
✅ The Scope OPC UA PubSub Over MQTT in Industrial IoT
✅ Metadata and Type Information in OPC UA PubSub
✅ Industrial Metaverse Reference Architecture with Open Interoperability Standards
Ep 43 Infrastructure as Code for Industrial IoT - [ Peter Sorowka, CEO Cybus GmbH]
Ep 42 Data Driven Optimization in Process Industries - [ Jim Gavigan, President, Industrial Insight]
Ep 41 Applied AI in Manufacturing - [ Roey Mechrez, Head of AI, and EMEA MD @Tulip]
Ep 40 Digital Twins for Process Optimisation and Asset Reliability - [ Erik Udstuen, CEO TwinThread]
Ep 39 DataOps for Digital Transformation In Manufacturing - [ Aron Semle, CTO Highbyte]
Ep 38 LoRaWAN for Industrial IoT Applications - [ Wienke Giezeman, The Things Industries]
Ep 36 Agility, Open Platform Strategy & Industrial Data Spaces for Industry4.0 - [ Sandeep Sreekumar - IndustryApps ]
Ep 35 Human-Machine Collaboration for Smart Manufacturing - [ Rafael Amaral - Tillit ]
Ep 34 Node-Red for IIoT in the Enterprise - [ Nick O’Leary, CTO Flowforge Inc ]
Ep 33 Unified Namespace for Industrial IoT: The Masterclass - [ Walker D Reynolds, 4.0 Solutions ]
Ep 32 Low Foot Print OPC UA Over TSN for Real-Time Communication - [ Melvin Francis, Be Services ]
Ep 31 Architecting IIoT Solutions Using Unified Namespace - [ David Schultz, G5 Consulting ]
Ep 30 Fundamentals of OPC UA Information Modelling - [ Jouni Aro - CTO, Prosys OPC ]
Ep 29 Manufacturing Execution Systems for Data-Driven Manufacturing - Kevin Jones, CEO Ectobox
Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI
Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII
Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )
Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )
Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )
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