Amidst changing economic waters and stringent manufacturing cycles, the aerospace, defence, and government landscape has seen an impressive technological evolution in the last few years.
Innovations such as automating mission-critical systems and deploying advanced electronics in deep space exploration are expanding opportunities for government and commercial applications alike. These advancements highlight the need for safe, reliable semiconductors and software. To enable reliable functionality in any environment — on land, in water, in the air, or in space — complex electronics systems need to be prototyped, verified, and monitored to reduce risk and increase quality. Aerospace and defense companies have been investing in AR and VR solutions for various uses, including MRO, aircraft inspections, and workforce training.
Their initiatives to shape future platform transformation will enable them to create new ways to connect to customers, partners, and their digital workforce. Virtual software testing as well as safety and security evaluations pave the way for early hardware and software integration and faster supply of mission-critical systems at reduced cost with faster deployment time. since they can demonstrate the workings of the digital models at program reviews. Rather than spending hours estimating the result of countless physical test systems, teams can now sit in reviews with more data and modelling insights before finalizing the system. They can also look at the performance of system variations on digital models.
This not only creates room for better decision-making, but also can optimize the system’s performance throughout its lifecycle and through variations needed for different government sectors, satisfying requirements of the sectors. the industry needs access to a heterogeneous environment with multiple simulations or simulators working in sync for comprehensive system development. Because digital twins are multi-domain, they can gather data from one simulation and apply useful data sets to another simulation to gain actionable insights. The field data can be analysed to reproduce issues in simulation that improve system-related operational metrics.