AWS IoT TwinMaker is now generally available
Today, we are announcing 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. Customers 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 you now have the tools you need to build digital twins to help you monitor and improve your industrial operations.
Today, we are announcing 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. Customers 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 you now have the tools you need to build digital twins to help you monitor and improve your industrial operations.
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 platform 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.
To learn more visit the AWS IoT TwinMaker product page, and to find an AWS Partner to help you on your digital twin journey, visit the AWS IoT TwinMaker partner page. Use the AWS Management Console to get started, or visit our GitHub repository for a sample digital twin application.