The term digital twin has recently been getting more and more buzz as companies across industries take advantage of the technology behind it to improve business processes and increase efficiency. If you haven’t yet heard of digital twins, this comprehensive introduction will help get you up to speed on what they are, how AWS IoT can help you create them, and how AWS IoT TwinMaker simplifies the process even further.
What is a Digital Twin
A digital twin of a physical product is a virtual representation of that product. The digital twin captures information about how that physical product operates and behaves in its real-world environment. This information can be stored in a cloud database for further analysis and for use by artificial intelligence (AI) systems, enabling businesses to make smarter decisions based on real-time data from their physical products.
How do I create a Digital Twin
A Digital Twin, also known as a virtual twin or model twin, is a digital representation of physical reality based on sensor data collected from Internet of Things (IoT) devices. By installing an Amazon FreeRTOS-compatible microcontroller, you’ll be able to bring your prototype to life by giving it a brain that can communicate with other smart products and control its functions remotely. Get started today with these three easy steps
Why use AWS IoT TwinMaker
Creating a digital twin of your physical product on AWS IoT enables you to innovate quickly in your business by analyzing real-time sensor data, all while keeping your device’s application logic, business rules, and cloud infrastructure completely isolated from third-party systems. You can also get started with building your digital twin faster because you don’t need to spend time building infrastructure or crafting sophisticated web services from scratch.
Create your first digital twin with AWS IoT-TwinMaker in 3 simple steps
Define your digital twin; 2. Identify data sources you want to collect; 3. Process, analyze and store collected data with AWS IoT. Use AWS tools, like Lambda and Kinesis, to process and store collected data in S3 or build a web app that displays it live in real time for further analysis with Amazon Elastic Compute Cloud (Amazon EC2).