AI collecting real-time data for automotive manufacturers

The goal of Stratio’s product for Original Equipment Manufacturer (OEMs) is to automate testing and transform, in real time, millions of vehicle data points from sensors and variables into predictive intelligence, supporting OEMs to detect potential vehicle faults early on, predict failures and accelerate root cause analysis. This allows manufacturers to reduce warranty costs by proactively eliminating potential sources of problems and identifying invalid warranty claims, and to create new revenue channels by reselling the predictive analysis service to fleet operators and distributors, and deliver more value to  fleet operators who are able to do their maintenance more efficiently, reduce costs related to maintenance services, vehicle parts and resources allocation, and reduce forced downtime resulting of vehicles breakdown, by acting upon Stratio Platform Alerts and Default Trouble Codes reporting.

The use of the Galileo navigation satellite system by Stratio’s Databox allows an improvement of the resolution from 30 meters to 1 meter compared to the use of the GPS module only. Moreover, the time of cold fix (i.e., correcting the position of the vehicle for the first time) is reduced from 2 minutes approximately to 15 seconds. Finally, the use of Galileo is allowing our device to increase coverage within cities near tall buildings and zones that are densely arborized. Besides vehicle sensor data, Stratio Artificial Intelligence algorithms for fault and root cause detection are dependent on external enrichers, such as location, altitude, sloping, road temperature, among others. Most external enrichers are collected from third-party services through APIs, based on a provided geolocation other, such as road slope can be obtained by using GNSS. EGNOS and Galileo also fulfil Stratio’s needs by reducing signal error, significantly reduce the fix time in all conditions, cold, warm or hot start.