Data Modelling and Manufacturing Ontologies for Digital Twins - Ep 37 [ Erich Barnstedt, Microsoft ]

Описание к видео Data Modelling and Manufacturing Ontologies for Digital Twins - Ep 37 [ Erich Barnstedt, Microsoft ]

Data Modelling and Manufacturing Ontologies for Digital Twins. In this episode, Kudzai Manditereza interviews Erich Barnstedt. Erich is the Chief Architect for Standards, Consortia & Industrial IoT, Azure Edge & Platform at Microsoft.

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EPISODE SPONSORS
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HiveMQ: https://www.hivemq.com/
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EPISODE LINKS
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Erich Barnstedt on LinkedIn -   / erich-barnstedt-9a84685  
Manufacturing Ontologies: https://github.com/digitaltwinconsort...
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Outline
0:00 Introduction
0:58 - Importance of data modeling for Industrial IoT.
3:29 - Key Elements of an Effective IIoT Data Model
5:24 - Standardising Configuration Interface for OPC UA Connectivity Mapping
8:04 - Manufacturing Ontologies Reference Solution for Digital Twins
12:32 - UA UA Cloud Twin to Map Industrial Assets to Azure Digital Twins using ISA95
14:17 - Significance of UA Cloud Commander at the Industrial Edge
18:33 - OPC UA Information Model Integration using UA Cloud Library
23:30 - Distinction of Data Modelling Standards
25:40 - Web of Things for Endpoint and Interface Description of Industrial Assets.
28:00 - ChatGPT for fully automating onboarding of non-discoverable industrial assets
30:02 - Converting proprietary interfaces into OPC UA Information Model using UA Edge Translator.
32:22 The role of the IEC/ISO in standardizing data models for IIoT
34:49 The Scope OPC UA PubSub Over MQTT in Industrial IoT
40:23 Metadata and Type Information in OPC UA PubSub
45:20 Industrial Metaverse Reference Architecture with Open Interoperability Standards

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