Aras announced the release of a new application, Digital Twin Core, adding to the set of Aras low-code capabilities for creating and managing digital twins. The Aras Digital Twin Core application provides new functionality for defining the digital twin configuration – the virtual representation of a specific physical asset or unique product instance. This provides the necessary context to interpret and analyze Internet of Things (IoT) sensor data for complicated scenarios such as predictive maintenance, performance optimization, over-the-air software updates and others.
Current digital twin initiatives focus on maintenance effectiveness, recalls, closed-loop quality, product innovation, and production throughput. Problems occur during analysis due to a lack of context or inaccuracies about that asset or product, Aras says.
“As a real-world asset is maintained, updated and retrofitted, companies need the ability to easily reflect the real-time accurate status of the digital twin configuration,” said Peter Schroer, founder and CEO of Aras. “Without an accurate configuration twin, companies risk analysis misinterpretations that lead to incorrect actions, safety issues and liability scenarios.”
Aras says their Digital Twin Core creates and manages the exact digital representation of an individual physical asset and its changes over time. This digital twin configuration mirrors a specific unit in operation such as an individual vehicle by VIN or aircraft by tail number. Digital Twin Core provides a low-code editor for modeling, adapting and extending highly sophisticated configuration twin representations. When combined with Aras 3D product navigation and graph views, users gain advanced visualization to see digital twin relationships throughout the product structure, the company says.