Leading analytics for operation & maintenance

Better data-driven decisions for engineers

Visplore is your powerful plug-and-play solution for fast ad-hoc analysis, advanced condition monitoring and by operators and engineers – easy, graphical and without coding.

Advanced analytics made easy and transparent
(3 min)

Why our customers prefer Visplore

 
voestalpine

Pattern anomaly detection and fast correlation with contextual data empowers the engineers to make data-driven decisions that save millions of EUR.

With Visplore, we detected boiler leaks and pipe cloggings many days earlier than before.

Since our operators create performance reports in a few clicks, time to action is shortened significantly.

How Visplore gives you a headstart for digital transformation

Condition monitoring made explainable and transparent

Engineers need decision support they can trust. In Visplore, operators monitor unwanted conditions by marking up (un)wanted example events, drawing reference corridors for ramp-up patterns, or building explainable prediction models.

Save costs by early detection of wear, such as overheating bearings, malfunctioning brakes, or guide vane anomalies – with our easy-to-use workflow for extracting and comparing patterns from time series.

Engineers need decision support they can trust. In Visplore, operators monitor unwanted conditions by marking up (un)wanted example events, drawing reference corridors for ramp-up patterns, or building explainable prediction models. Mainteneance engineers in power generation save costs by early detection of wear, such as overheating bearings, leaking boilers or clogging pipes – by our easy-to-use workflow for extracting and comparing patterns from time series.

We will present this use case as speakers at the event “Digitalisation in Hydropower 2024” on 15./16.Oct in Garmisch-Partenkirchen.

Detect leaks and other anomalies to avoid downtimes

Detect leaks and other anomalies to avoid downtimes

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.

We spotted a boiler leak days earlier by comparing downramp profiles in Visplore.

Site manager, thermal power plant

Automated performance reports

Isolate operating conditions like turbine start-ups from raw signals by intelligent pattern search or rules (e.g., speed thresholds) and apply this operation automatically to new live data. Operators can easily compute KPIs such as fuel consumption or ramp-up duration for performance reporting and analysis for optimization.

Automated performance reports

Fast ad-hoc analysis and correlation of data sources

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.

How it works: Advanced asset analytics made easy and transparent

Visplore is not yet another magic black-box AI. Instead, Visplore empowers your operators and reliability engineers to set up advanced analytics based on their experience – covering all steps to automated results.

Connect to data historians - Filter irrelevant data interactively - Understand the normal operation pattern of assets - Define advanced conditions and analytics graphically - Automate condition monitoring and reports - Investigate root causes of failures and anomalies - Share insights - Adapt conditions if needed

Your best RoI ever

  • Start small and grow with user demand – without limits in data volume.
  • Save millions of EUR by preventing unplanned downtimes – in hydropower, thermal plants, utilities, grid assets, and much more.
  • Ensure compliance with environmental regulations and building safety (e.g., hydropower dams).
  • Optimize generation by reducing fuel consumption in coal plants, gas, and CCGT turbines.
  • Boost productivity for operators, performance- and reliability engineers, and asset managers worth hundreds to thousands of working hours per year.
  • Save costs for external analytics service providers.
  • Reduce the burden on own data science resources by enabling the whole team to perform advanced analytics - a MUST in heterogeneous asset landscapes like hydropower.
  • Add value from your existing investments in your digital transformation.
  • And much more…

Plug and Play for your data landscape

 
osisoft pi
influx
oracle
sql server
databricks
python
postgre sql