1-click templates, 0 onboarding
A direct integration between AVEVA PI Vision and Visplore lets engineers and operators go from a flashing KPI to a forensic data deep-dive with a single click. The current event is instantly compared against hundreds of historical situations across dozens of variables revealing what changed, and what didn’t.
The gap PI Vision can’t close on its own
PI Vision excels at situation awareness it’s the first screen you check when something goes wrong. But when you need to understand why a KPI is off, building ad-hoc displays under pressure takes significant time, and PI Vision was not designed for exploring relations between many variables. For many cases, especially outside the central data team, there is no established path to a thorough, data-driven analysis.
KPI turns red
Alert in PI Vision
→
Compare against history
Events x variables, instantly
→
Severity assessed
Root cause identified
1‑click
From PI Vision alert to guided comparative diagnostic:
same time window, same asset, same tags
0 training
Pre-built templates mean operators
only learn to read a handful of charts
Highlights
Value delivered
One click from bad KPI to diagnostics: Visplore compares current anomalous events against historic runs for dozens of variables, and automatically surfaces the largest deviations.
Two ways of integrating Visplore into your PI Vision workflow
01
1-click diagnostic templates
PI Vision display authors embed a button that launches a prebuilt
Visplore analysis for the current asset and time window. Visplore
overlays the current event against the full history of similar
situations across dozens of variables, and automatically ranks
which sensors changed most so engineers go straight to the signals
that matter. No Visplore expertise required, and a template is set
up within hours.
02
Plug-and-play ad-hoc analysis
A side pane in any PI Vision display lets users push all tags from
the current display or symbol into a live Visplore session with
zero manual tag lookup. PI Vision stays the mental model for
navigation; Visplore becomes the immediate analytical layer for
filtering, comparing time periods, or comparing assets side by
side. Ad-hoc sessions can be published as reusable templates for
the whole team.
CASE STUDY — HAFSLUND HYDROPOWER, NORWAY
Diagnosing turbine shutdown anomalies across 160 units
Hafslund operates more than 80 hydropower plants in Norway, with over 1,000 PI Vision displays used for situational awareness across centralized and site teams.
Hafslund monitors shutdown duration (90% → 40% speed) for 160 turbines since any uncontrolled deceleration can indicate mechanical stress or control issues. When a too-fast shutdown was flagged, an operator clicked a button on the PI Vision display configured as the entry point to the Visplore integration. Visplore instantly loaded high-resolution data for all shutdown event frames and overlaid them against the full history of reference runs across dozens of variables. It automatically ranked the sensors that deviated most: bearing vibration, guide vane opening, and penstock pressure all showed anomalous patterns. The user simply browsed the ranked list no manual tag selection needed.
This revealed an overspeed event from a grid disconnection as the root cause, and not a machine malfunction. The delayed guide vane closure from the grid disconnection resulted in a different speed profile. The full diagnosis and team communication were completed the same day.
160 turbines
connected for standardized deep-dive
less than 30 mins
from alert to root-cause diagnosis
hours, not days
to implement a deep-dive template from scratch
Also relevant beyond energy — Manufacturing
Batch & lot comparison
Compare the current production run against historical good batches across every process variable 1-click access from PI displays.
Quality metric deep-dive
Link scrap events and Cp/Cpk deviations back to process and energy data across the full production chain.
Cross-asset scaling
Apply the same comparative diagnostic template across entire fleets or production lines one template, many assets.
