Amazon Cloud Technology announced the launch of Amazon IoT TwinMaker, a digital twin service in the Amazon Cloud Technology (Beijing) region, through close cooperation with Halo New Network, which can help enterprises easily and quickly build real-world digital twins, better access to operational insights, and improve operational efficiency. Amazon IoT TwinMaker makes it easy for developers to bring together data from multiple sources, such as device sensors, cameras, and business applications, and combine them to create a knowledge graph that models real-world environments such as a company’s buildings, factories, industrial equipment, and production lines. And visualized through three-dimensional view (3D). Use Amazon IoT TwinMaker customers without prepaid expenses, only need to build and run pay twin used by digital data, more details please visit: https://www.amazonaws.cn/iot-twinmaker/.

The launch of Amazon IoT TwinMaker further enriches Amazon Cloud Technology’s Internet of Things (IoT) service portfolio in China. This includes device software (such as Amazon IoT Greengrass), connectivity and control services (such as Amazon IoT Core, which connects connected devices to the cloud), and analytics services that use and analyze IoT data (such as Amazon IoT, which collects, organizes, and analyzes data at scale from industrial devices SiteWise, etc. Based on Amazon Cloud’s scalable, secure infrastructure, Amazon Cloud IoT Services scale to support up to hundreds of millions of devices and trillions of messages depending on the customer’s business, and provide business insights by helping companies easily collect and manage iot data and devices through high integration with other Amazon Cloud services.

The development of cloud computing, the Internet of Things, artificial intelligence, and generative AI has further promoted the large-scale application of digital twins in the production process. A digital twin is a real-time digital representation of a real-world physical system that can dynamically update and mimic the structure, state, and behavior of a real physical system. With digital twins, businesses can optimize their operations by gaining operational insights based on the Internet of Things and data, such as finding and locating hard-to-see failures and predicting future behavior changes. Digital twins are widely used in industrial scenarios such as manufacturing, smart buildings, power and energy.

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Building and managing digital twins presents multiple challenges with data, modeling, and visualization platforms: First, organizations need to connect different types of data from different sources (such as time series sensor data from devices, video transmission from cameras, maintenance records from business applications, etc.). Second, create a knowledge graph of the relationships between different data, build a 3D virtual model of the physical system, and overlay real-world data onto the 3D view. Amazon IoT TwinMaker makes creating real-world digital twins faster and easier.

Easily connect multiple data sources from different sources and different types: Amazon IoT TwinMaker includes Video for Amazon Simple Storage Service (Amazon S3), Amazon IoT SiteWise, and Amazon Kinesis Streams’ built-in connectors allow you to connect to widely used third-party data sources such as Snowflake, Siemens Insights Hub, and more via custom connectors.
Create knowledge graphs, model physical systems, and build 3D views: Amazon IoT TwinMaker automatically creates a knowledge graph that integrates and understands the relationships between connected data sources, so it can update the digital twin with real-time information from the mapped system. Customers can combine existing 3D models, such as CAD and Building Information Modeling (BIM) files, Reality Capture models, and smaller compressed model formats such as glTF and 3D Tiles. Import directly into Amazon IoT TwinMaker to easily create 3D views of physical systems (such as buildings, factories, equipment, production lines, etc.) and overlay data from the knowledge graph onto the 3D view to create a digital twin.
Added the function of visualizing knowledge graph query results in 3D scenes. After associating the Amazon IoT TwinMaker knowledge graph entity with objects in the 3D scene, users can start the Amazon IoT TwinMaker knowledge graph query and visualize the query results in the 3D scene, allowing users to perform inspection and root cause analysis more intuitively. For example, engineers and operators can use this feature to more easily identify the equipment they are responsible for and check the operating status of the system based on graph relationships. Operators can respond to activity alerts by using Amazon IoT TwinMaker knowledge Graph queries to highlight affected devices in a 3D scene, showing the latest status and physical location.
Invista, a subsidiary of Koch Industries, is a leading global manufacturer of fibers, resins and chemical intermediates. Its field personnel need to effectively handle operations and alarms from the plant floor of different systems. The company desperately needed an integrated data platform that would deliver the right information to the right person at the right time, in the right context, to complete the right action. Invista used Amazon IoT TwinMaker to build the digital twin of its production operations into a Connected Worker application that integrates real-time sensor data, equipment maintenance logs and factory floor camera footage into a visual environment. The solution not only significantly improves work efficiency, but also optimizes the environmental, health and safety performance of the plant and creates a better working environment for employees, enabling them to use their expertise more effectively to create value for customers.

About Amazon Cloud Technologies

Since 2006, Amazon Web Services has been known for its innovative technology, rich services, and wide range of applications. Amazon Cloud Technologies continues to expand its portfolio of services to support virtually any workload on the cloud, and currently offers more than 240 full-featured services across compute, storage, database, networking, data analytics, machine learning and artificial intelligence, iot, mobility, security, hybrid cloud, media, and application development, deployment and management. The infrastructure spans 105 availability zones in 33 geographic regions, with plans announced for four new zones and 12 availability zones in Malaysia, New Zealand and Thailand. Millions of customers around the world, including fast-growing startups, large enterprises and leading government agencies, rely on Amazon Cloud Technologies to support their infrastructure, increase agility and reduce costs.