Digital twins offer great opportunities for rail transport, with the realistic simulation of operational processes offering the potential of even more efficient and customer-friendly railway travel. Smart sensor systems ASC AiSyS from ASC have enormous computing power, providing the basis for the use of digital twins.
Sensor systems are specially developed for intelligent monitoring solutions, such as equipment condition monitoring and predictive maintenance. The main feature of the smart sensor systems is their ability to analyse the collected data and extract predefined feature vectors. This allows the systems to make decisions and produce predictions autonomously.
Digital twins of trains, track systems or buildings have massive potential for rail transport. They can be used, for example, to generate physically accurate, live simulations of railway systems. This means that the optimal timetable or the ideal detour can be calculated when there are incidents on the line. In addition, digital twins can be used to simulate the effects that any routing changes may produce. This allows planners to inform local residents of any disruptions in advance and adjust the route accordingly.
Digital twins can also optimise rail infrastructure maintenance. The enormous computing capacity of ASC’s smart sensor systems allows for real-time monitoring of trains and tracks. This means that problematic components can be detected and replaced before any damage even occurs. Another advantage to using simulations based on digital twins is that you can run through different scenarios in accelerated mode without consuming any critical resources in the process.
Smart sensor systems from ASC are the essential foundation for these and many other future-oriented applications. They are extremely powerful because they are perfectly adapted to any application.