IoT Architectures for a Digital Twin with Apache Kafka and Comparison to other IoT Platforms
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- Опубликовано: 29 июл 2024
- A digital twin is a digital replica of a living or non-living physical entity. This session discusses the benefits and IoT architectures of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka, IoT frameworks and Machine Learning.
Kafka is often used as central event streaming platform to build a scalable and reliable digital twin for real time streaming sensor data. A live demo shows a scalable digital twin infrastructure for condition monitoring and predictive maintenance in real time for a connected car infrastructure leveraging Kafka, MQTT and TensorFlow.
Key Take-Aways:
• Learn about use cases and characteristics of a digital twin in various industries
• Understand how to build a digital twin for every single (of tens of thousands) IoT device or machine
• See different IoT architectures with Kafka and other IoT technologies and products, including edge, hybrid and global deployments
• Understand the relation to Machine Learning and bring added value to your IoT infrastructure by enabling use cases like predictive maintenance
• Understand how the Apache Kafka enables scalable and flexible end-to-end integration processing from IIoT data to various backend applications
• Watch a live demo of an end-to-end integration, real time processing and analytics of thousands of IoT devices
More details:
www.kai-waehner.de/blog/2019/...
www.kai-waehner.de/blog/2020/...
www.slideshare.net/KaiWaehner... - Наука
Thanks Kai, all in one, some slides include so much information!
Thanks for the video's
But can you organise all videos into a platter playlist so it's easy to start from the beginning rather then
Going from different videos don't knowing where to start
really this video makes things clear to me. thank you Kai.
Amazing Presentation, Ι completely Understood the Digital twin concept from technical perspective in just 60 minutes. Nice talk, to the point with a lot of architecture paradigms. Thanks Kai!
SUCCESS...
some timestamps would be nice
J