TABLE OF CONTENT
1. Introduction2. AWS IoT twinMaker Workflow3. Benefits and top features4. IoT TwinMaker UseCases5. Conclusion6. CloudThat 7. FAQs
Introduction
Digital transformation is a great benefit for businesses, but it also generates a lot of operational data. To be competitive, we need to have a central view of all data silos. IoT devices, real-time streaming video and real-time video streaming are widely used in the commercial and industrial sectors.
Let’s say you need to set up IoT devices, IIoT sensor and other equipment in Realtime viewing. Digital twins are the answer. It was difficult to create a digital twin of your facility as a running ecosystem in 3D.
AWS IoT twin Maker is a platform that makes digital twins easily accessible to everyone. It allows you to create digital twins from real-world systems in order to optimize operations. AWS IoT Twin allows you to easily combine sensors, IoT information, production lines, live videos, and equipment into a consolidated digital version.
By importing existing 3D models directly into the service, we can create 3D visualizations of real-world settings. This allows your operator to make faster, more informed decisions. AWS twin maker can give new life to existing businesses.
Workflow for AWS IoT TwinMaker
AWS IoT TwinMaker makes it easy to create digital twins of physical devices like buildings, industrial equipment, and production lines. AWS IoT twinMaker allows you to create digital twins that can be used to optimize building operations, increase production, and improve equipment performance. Digital twins can be used to quickly and efficiently generate a complete view of your operations. They use existing data from different sources, create virtual representations of any physical location and combine 3D models with real-world information.
AWS IoT TwinMaker allows us to quickly combine existing IoT, video, or enterprise application data. We don’t have to re-ingest or relocate data. AWS IoT TwinMaker automatically generates a knowledge graph that connects data sources to simulated hardware replicas. This allows you to create a 3D view of your infrastructure and activities to increase production, optimize efficiency, and improve performance.
Benefits and top features
3D views that are immersive
To improve your infrastructure and activities, get a 3D immersive picture.
You can model your physical environment accurately
An automatically generated knowledge graph links your data sources to virtual replicas of physical systems in order to accurately replicate real-world situations.
No matter where data is stored, data can be accessed easily
AWS IoT TwinMaker allows us to quickly access the data that is stored.
IoT TwinMaker Usecases
Improve field operations of manufacturing plants
You can increase worker productivity and worker efficiency by quickly identifying and addressing equipment and process issues on the factory floor.
Remote facilities should be made more accessible
Remotely assess equipment problems and have instant access to all operational data for faster decision-making.
Commercial properties can be improved by improving the tenant experience
Monitor the temperature, occupancy, and air quality data in rooms and open spaces to increase occupant comfort.
Conclusion
AWS IoT TwinMaker allows users to quickly and easily create digital twins to optimize manufacturing activities, increase production output, and improve the performance of their equipment. Amazon Web Services IoT TwinMaker comes with data connectors, a model maker, and a scene creator. This will allow you to collect data from many sources, such as IoT sitewise, Kinesis and Snow.
