Increasing speed and value of self-service analytics by 10x – 100x
Visplore lets operators and maintenance engineers perform monitoring and root-cause analysis on live- and large historic data much faster and more intuitively than ever.
Isolate start-ups from raw signals by intelligent pattern search or by rules (e.g. speed thresholds) and apply this operation automatically to new live data. Additional parameters affecting the start-up such as initial temperatures are considered. Operators can easily compute KPIs such as fuel consumption or ramp-up duration for performance reporting and analysis for optimization.
Visplore combines automatic anomaly detection with the plots needed for expert assessment. For example, leaks in boilers or tanks are detected by analyzing shutdown events regarding pressure drop rate. Similarly, clogging, or loosening of valves can be detected. This gives days of a head start for scheduling maintenance so that negative consequences on the process and on costs are minimized.
Site manager, thermal power plant
Zoom, filter, select and categorize huge amounts of time series data from AVEVA PI or databases – all intuitive for operators. Correlate with data from other sources, such as ambient conditions, price information or event logs. Tell your stories using more than 20 visualization types, and share with management in a free viewer version.
Engineers build regression models without depending on data science teams. Predicted reference bands support condition monitoring for detecting leaks, overheating and much more – for early intervention at minimal costs. Also for external models (e.g. EBSILON), Visplore supports validating prediction quality and guides model improvement.
