This session will showcase a weather application designed using the new OSIsoft Cloud Services (OCS).
A backyard weather station was used as a data source for a live and historical data source. Forecasted data was then added to provide a complete picture of historical, current, and forecasted weather. Once all the data was streaming into an OCS sequential data store, a full stack front-end solution was developed. This included an API layer in C#, Angular for the UI, and D3 for data visualization. A complete solution was developed to fully evaluate how OCS could be used in a real-life, purpose-built application. Key takeaways, including challenges, an architectural review, and source-code highlights will be shared.
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.