Real-Time Train Data Analysis

Real-Time Train Data Analysis

System collets real-time data from different parts of railway vehicles, such as CI, APS, HVAC, and BECU. It uses this data along with specialized algorithms to predict failures and improve maintenance. It brings together information from various sources to create a digital twin of the vehicles and their infrastructure. This helps to make better decisions based on data, which improves reliability and safety.