Using a ‘Digital Twin’ (DT) to replicate a system and its components is a promising concept to enhance safety and operational flexibility. A digital copy of the physical system speeds up support for operations by providing a real-time view of system status – depending on the particular complexity. It also provides a route to develop diagnostic and prognostic strategies, as well as enhancing maintenance and training systems. In particular, this research area will:
- Define the physical-digital objects that must be considered to build the DT at systems level, plus the connectivity elements (e.g. rotorcraft and aircraft)
- Define and develop a general framework to implement a DT of a system
- Design and develop the DT framework to exploit the computing power of the davinci-1 supercomputer to improve its overall performance
- Study a ‘Certification-by-Simulation’ (CbS) methodology that aims to adopt simulation in place of real (hardware and software) systems tests to demonstrate compliance, for example with airworthiness certification specifications
- Study a Virtual Sensor methodology to be integrated in the DT framework and finally implemented in the real system
- Study and test methods to port algorithms in a multi-core distributed environment to enable them to run on the davinci-1 supercomputer
- Study and test ways to port algorithms from CPU to a multi-GPU environment.
The Leonardo Labs, which will develop skills transversal to the company’s business areas in the field of Digital Twin and Advanced Simulation, are: Future Rotorcraft Technologies, Future Aircraft Technologies, Materials Technologies, HPC\Cloud\Big Data Technologies, Intelligent Autonomous System.