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Information
Service
Deployment of the remote monitoring system for the status of train systems applied to maintenance tasks.
Result
BILERRO has implemented a massive data intake IoT program, capturing 30,000 variables per second on trains traveling at 300 km/h, and has applied data analytics, with descriptive and predictive analysis, to determine the status of trains and anticipate possible failures, unit availability, and reduce maintenance costs.
Objective
Enabling Talgo to monitor the status of its trains and anticipate potential faults, increasing the availability of its units and minimizing maintenance costs. This project has led to the digital transformation of the railway company.
Result
BILERRO has implemented a massive data intake IoT program, capturing 30,000 variables per second on trains traveling at 300 km/h, and has applied data analytics, with descriptive and predictive analysis, to determine the status of trains and anticipate possible failures, unit availability, and reduce maintenance costs.
Applied Solutions and Services
