Advanced analytics for power generation
Optimizing operations by better utilizing process data
Why our customers prefer Visplore
Use cases
Condition monitoring made explainable and transparent
Engineers need decision support they can trust. In Visplore, operators monitor conditions by marking (un)wanted events, drawing reference corridors for ramp-up patterns, and creating explainable prediction models.
Save costs with early detection of wear, such as overheating bearings, malfunctioning brakes, or guide vane anomalies, using our user-friendly workflow to extract and compare time series patterns.
We will present this use case as speakers at the event “Digitalisation in Hydropower 2024” on 15./16.Oct in Garmisch-Partenkirchen.
Modelling time series for condition-based monitoring
Enable early detection of asset problems through intuitive graphical tools, optimizing maintenance intervals and develop early warning rules based on actual data.
Start-up and ramp-up optimization
Simplify the analysis/optimization of start-up and ramp-up operations, providing insights into critical parameters.
“Visplore’s intuitve capabilites for extractng and analyzing start-up and ramp-up operatons were a key factor in our engineers’ ability to improve the performance of our plants.“
Performance Engineering Expert, Utility Company
Building physically plausible digital twins
Explore and clean complex sensor time series data to identify deviations, accelerating digital twins validation by 20%.
“Visplore allows us to quickly identify appropriate data packages in the plant history, eliminate outliers from the data, and effectively analyze the resulting clean data of the physical processes.“
Performance Engineering Expert, Expert Consultancy Company
Troubleshooting complex energy systems
Accelerate the monitoring of complex energy systems, quickly identifying patterns and root-causes of undesired behaviors.
“Visplore allows for a much easier investigation of relevant patterns and structures. Our downstream analysis becomes much more efficient and we gain more confidence in the results.“
Main Data Scientist, Hydropower Provider
Fast ad-hoc analysis and correlation of data sources
Zoom, filter, select, and categorize vast amounts of time series data from AVEVA PI or databases – all intuitive for operators. Merge and align operation data with ambient conditions, price information, or event logs – all without programming, and tell your stories using more than 20 visualization types.
