Digital twins and synthetic data for rail predictive maintenance

MAINRAIL BOOSTS ITS PREDICTIVE MODULES AFTER DIGITIZING MORE THAN 500 KM OF TRACK IN ITS FIRST YEAR.

MainRail SL, a company specialized in the digitization of railway infrastructure maintenance, has obtained in its first-year contracts associated with more than 500 km of infrastructures, contributing substantially to promote the railway’s digitization.

The MainRail software platform is already been used in the Zaragoza tram, taking care of the catenary maintenance (carried out by CAF TE).  MainRail also completed its deployment at Mallorca’s railway, where the maintainer AZVI is using our Software to control and improve the maintenance of the track and infrastructure.

Thanks to the new contracts (see news section) for ETS and the FEVE network of ADIF in Cantabria maintained by COPASA, MainRail reaches references that exceed 500 km of track whose maintenance and the data generated are managed through its SaaS platform.

This commercial impulse allows the company to continue improving the development of its predictive modules, where, based on the company’s multibody simulation platform, synthetic data will be generated to train predictive algorithms based on AI.

The integration of these algorithms (IA) with data from IoT devices and the modules already implemented on its platform will allow MainRail to offer a hybrid predictive maintenance system, based on both historical data and physical simulations with digital twins.

The company is currently working-out to apply this strategy over track quality, rail wear and buckling index.