PowerEye collects data from the site and the equipment, which is then analyzed to deliver optimization insights. This data is collected from three main sources – the Air Monitoring Station (a proprietary device provided by Camfil), the facility site historian and an online weather service.
The Air Monitoring Station is installed on the dirty side of the filter house, and it captures temperatures, humidity and particulate level of the turbine environment. The device is small (size of a shoebox) and easy to install.
All data is transferred back to the central PowerEye server for analysis. Engine performance data is sent via a hyper-secure, read-only connection.
Once collected in the central analysis server, all data is run through the PowerEye Predictive Analytics Engine, which features intelligence from Camfil’s extensive proprietary filtration database.
Information in the database comes from decades of field-testing experience on a variety of filter types across all types of environments. Using this data, Camfil developed an algorithm to predict how different filters will react to diverse atmospheric conditions and affect the performance of gas turbines.
All of this analysis is delivered to you in real time through a web-based dashboard available to you 24/7. You get insights on turbine performance, accurate next-day power predictions, pressure drop trends, water wash schedules, filter life predictions and change recommendations.