Predictive Maintenance for IoT
Harnessing wind power at commercial scale requires a large number of wind turbines distributed over a large area. Each wind turbine generates thousands of data points per second (e.g. temperature, rotation speed, wind direction, energy output). Collecting all this data for historical and real-time analysis is necessary for prediction of potential failures as well as controlling power distribution networks to manage the variable nature of renewable energy. Pravega can be a key component of a predictive maintenance solution for a wide variety of equipment, including wind turbines, machines on a factory floor, trains, computer hardware, and even roller coasters.