Predictive maintenance for a mining major
Intelligence from data in motion
A mining major operating a fleet of trucks carrying minerals needed a predictive maintenance platform to optimize its line. The trucks had built-in sensors capable of reporting data, which included sending alerts in the event of a breakdown. However, absence of methods to monitor and analyze this data in real-time led to losses arising from such disruptions.
The challenge: To predict maintenance requirements to eliminate losses arising from vehicle breakdowns.
The Solution: Analyzed 300 million records in less than four seconds at 1 / 1000 th the cost of a traditional solution