An Orchestration Method for Integrated Multi-Disciplinary Simulation in Digital Twin Applications

Abstract

In recent years, the methodology of Model-Based System Engineering (MBSE) has become relevant to the design of complex products, especially when safety critical systems need to be addressed. It allows, in fact, the deployment of product development directly through some digital models, allowing an effective traceability of requirements, being allocated upon the system functions, components, and parts. This approach enhances the designer capabilities in controlling the product development, manufacturing and after-market services. However, the application of such a methodology requires overcoming several technological barriers, especially in terms of models integration. The interoperability and management of several models—developed within different software to cover multiple levels of detail across several technical disciplines—is still very difficult, despite the level of maturation achieved by Systems Engineering. This paper describes a possible approach to provide such a connection between tools to allow a complete multi-disciplinary and heterogeneous simulation to analyse complex systems, such as safety-critical ones, which are typical of aerospace applications. Such an application is within a defined industrial context, placing particular attention on the compatibility of the approach with the legacy processes and tools.

Digital Twin-Enabled Internet of Vehicles Applications

“…Firstly, from the vehicle's perspective, failures or accidents may occur after it leaves the factory. Nevertheless, imperfect monitoring during the vehicle production process and inconsistent standards among manufacturers make it challenging to maintain and interoperate parts in the later stages [6]. Recording and monitoring the entire vehicle life cycle can facilitate quickly identifying and resolving problems.…”