Predicting Train Breaking Performance
At Irkutsk Transport University, scientists have developed a technology for modeling and predicting the operation of railway braking systems in real time.
The development is based on the digital twin concept; a software package is installed on the locomotive’s onboard computer and receives data from virtual sensors. Based on the date, the system models the brakes behavior identifying potential malfunction in advance.
The technology has been tested on the Yermak electric locomotives The results have proved that a digital modeling can increase train speed, mitigate the risk of failures and improve the overall efficiency of the transportation process.
In addition to monitoring the technical condition, the system is capable of predicting potential malfunctions and helping the driver select the best braking mode, thus reducing the likelihood of incidents and human errors.
Experts note that such solutions will be a big step in the transition of rail transport to intelligent control and predictive diagnostics. In the future, it is expected that the technology could become a basis for creating automated and partially autonomous train movement systems.
Alfa-ZHAT is an integrated supplier of equipment and materials for the rail industry that delivers equipment throughout Russia and CIS countries.
