AWS IoT TwinMaker is Now Generally Available

By Chantal Polsonetti

Category:
Company and Product News

AWS announced the general availability of AWS IoT TwinMaker, a service that makes it easier for developers to create digital twins of real-world systems, such as buildings, factories, production lines, and equipment. IoT TwinMakerCustomers are increasingly adopting digital twins to make better operational and strategic decisions in industries such as smart buildings, manufacturing, construction, energy, power & utilities, and more. With AWS IoT TwinMaker, users now have the tools needed to build digital twins to help monitor and improve industrial operations.

With AWS IoT TwinMaker, users can quickly get started creating digital twins of equipment, processes, and facilities by connecting data from different data sources without having to re-ingest or move the data to another location. Users can employ built-in data connectors for the following AWS services: AWS IoT SiteWise for equipment and time-series sensor data, and Amazon Kinesis Video Streams for video data. AWS IoT TwinMaker also provides a framework for users to create their own data connectors to use with other AWS or third-party data sources (such as Amazon Timestream, Snowflake, and Siemens MindSphere). Then, users can easily access all digital twin data using the AWS IoT TwinMaker unified data access API to underlying data sources without needing to query each data source individually.

AWS IoT TwinMaker

AWS IoT TwinMaker lets you model your physical environment using entities (e.g. any physical asset or system like a furnace, an assembly line, or an entire factory) and its components (e.g. data connectors) and then saves you time by automatically creating a knowledge (or digital twin) graph that combines and understands the relationships among the connected data sources. As your built environment evolves, for example if you add new sources of data, you can easily update your model so your digital twin remains accurate and current.

Once the digital twin graph is created, you can then visualize the data in context of the physical environment. Using AWS IoT TwinMaker, you can import existing 3D models (such as CAD files and point cloud scans) to compose and arrange 3D scenes of a physical space and its contents (e.g. a factory and its equipment) using simple 3D composition tools. To create a spatially aware visualization of your operations, you can then add interactive video and sensor data from connected data sources, insights from connected machine learning (ML) and simulation services, and equipment maintenance records and manuals. To help developers quickly build a web-based application for end users, such as plant operators and maintenance engineers, AWS IoT TwinMaker includes a plugin for Grafana and Amazon Managed Grafana, a fully managed service for the open source dashboard and visualization plat-form from Grafana Labs.

AWS IoT TwinMaker is generally available in regions of US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Frankfurt), and Europe (Ireland), with more regions to come soon.
 

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