Comparison between the HUBCAP and DIGITBrain Platforms for Model-Based Design and Evaluation of Digital Twins

TL;DR

This paper compares two digital twin management platforms, HUBCAP and DIGITbrain, focusing on their model-based design and evaluation capabilities through a factory use case for agricultural robots.

Contribution

It provides a detailed comparison of HUBCAP and DIGITbrain platforms, highlighting their features and suitability for digital twin lifecycle management in industrial applications.

Findings

Both platforms support co-simulation for digital twin management.

HUBCAP and DIGITbrain are used by researchers and industry for digital twin development.

The paper demonstrates platform comparison using an agricultural robot manufacturing case.

Abstract

Digital twin technology is an essential approach to managing the lifecycle of industrial products. Among the many approaches used to manage digital twins, co-simulation has proven to be a reliable one. There have been multiple attempts to create collaborative and sustainable platforms for management of digital twins. This paper compares two such platforms, namely the HUBCAP and the DIGITbrain. Both these platforms have been and continue to be used among a stable group of researchers and industrial product manufacturers of digital twin technologies. This comparison of the HUBCAP and the DIGITbrain platforms is illustrated with an example use case of industrial factory to be used for manufacturing of agricultural robots.