As part a larger project to monitor a large number of distributed wind farms throughout the US and Canada, the customer desired to have visibility into substation status information. This included showing substation one-line diagrams, voltage regulation status, breaker status, and events to notify them of any issues. Each wind project was design and installed by others which resulted in large differences between sites, include variability in networking, communications, and tag configuration. In other words, each project was like a snowflake. Using PI, AF Analytics, and Event frames, a solution was developed to normalized all wind projects. Once standardization was achieved, we then defined substation one-line circuits using an AF hierarchy. Data visualization was developed to provide on-demand, real-time rendering of circuits, voltage regulation trends, events, supporting information. This was implemented enterprise wide, and allowed for easy access and visibility for everyone in the organization.
David works for EDF Renewables as an Analytics and Intelligence Engineer. One of his primary focuses has been using AF to build custom monitoring of EDF's data infrastructure and track data quality of over 3000 assets across North America. As a remote worker, David enjoys traveling and working from many locations around the world.
Lonnie helps companies take full advantage of real-time data generated from industrial IOT systems including data generated in a process or monitoring system and stored in a PI System. He is focuses on finding and understanding key business outcomes that can be achieved by improving data access, visualization, and interaction.