What technologies are behind the digital twin and how to reasonably approach its creation? Discover a detailed explanation in this article. . - by VISARTECH digitaltwins interactivetechnology
A vital component of a digital twin platform. This model translates the status data, analytics insights, and forecasts into formats suitable for human perception. As a result, we get a connected environment of the virtual copy with the physical world.
The Visualization module is responsible for delivering data insights to end users, simulation, and intelligent operations. The digital twin’s dashboards and commands rely on this module for correct functionality.This module serves to pull and share data from different sources for building a DT solution. It is also responsible for changing the digital twin parameters and synchronizing the copy with its prototype in the physical world.AWS API Gateway, Node JS/ SpringBoot.
. Furthermore, it provides the capability to create, train, and bring into action machine learning modules and ensure efficiency.Custom digital twin development is a complex process requiring robust technological capabilities, diverse skill sets, and flexibility. Because a digital twin implementation requires the integration of IoT, machine learning, robotics, VR, and advanced 3d visualizations5 Steps To Creating Well-Performed Digital Twinfollow the same logic as other products and services.
's tech stack and architecture. Before you build a minimal viable product version of your digital twin, decide which features are absolute must-haves and which you will be adding at later stages.Building an MVP version of your digital twin solution will help you test your product and implement changes. This will give you an understanding of what features or processes you need to add or exclude from your final product version.
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