Per-segment diagnostics — your sensor data across the sensor, coupling and service models.
← new here? load an example to see every part of the dashboard
Make-up / recirculating water analysis — unlocks the cycles limit, water balance & scaling outlook
evap m³/hcurrent cyclesthe value layer is engine physics from this water, not the sensor window
Parameter trends
The imported values over the timescale — each parameter on its own scale (min…max shown). This is your raw data, not a model output.
Example data — synthetic. Loaded to show what the dashboard does. These are not real measurements and nothing here is a calibrated or validated result — the synthetic values are run through the real pipeline so the outputs are genuine for this made-up input. Clear it by editing the data or loading your own.
Segment KPIs
segment-specific indicators, computed from this window
each trend is computed from the window by the real models; issue = what it reveals, solution = the lever
Sensors
Alarms
timestamped from the data
Add measurements to sharpen the diagnosis
each row is the channel to capture next — and what it confirms
AI capability — what runs now, what needs data
one physics-gated stack: sensors → couplings/FDD → ML/analytics
How to read confidence
every finding wears its provenance
calibrated fit from your data
quantitative a hard law
directional uncalibrated — a lead
violated a real breach
gap not modelled yet
Value & predict — 360° from the water analysis
engine physics · enter a water analysis to compute cycles, water balance & scaling
Make-up water vs cycles
Physics
Add a water analysis to compute the recoverable-water curve.
Scaling outlook
Physics
Add a water analysis to compute the scaling outlook.
Projection — shows whether scale turns on and near which cycles, not a precise when; a modeled outlook to confirm with monitoring, not a measured event.
Cross-sensor couplings
directional = lead, never a hard alarm
Pick a coupling to see its scientific plot. Each plot is drawn only to the confidence the coupling carries — a hard law gets a real line, a directional coupling an uncalibrated band, a gap no curve.
Run an analysis to populate the dashboard.
candidate
Condition-based work orders raised from the analysis. Not yet synced to a CMMS — select and schedule into a visit.
Open orders
Sensor
Fault
Action
Evidence
Priority
When
Collate into a scheduled visit
0 selected
Visit date
Service notes (free text — added to the visit)
Visit calendar
scheduled visits — held for this session
Leads stay leads until calibrated · gaps are declared · every alarm is timestamped from the data · the value layer needs a water analysis · nothing is fabricated.
Visit
Detail
Generate report
A preview of this analysis — every provenance label preserved. Opens in a new tab; review it, then choose Download PDF or Download HTML.
Headline & diagnose
Couplings with their plots
Value & cost (with confidence)
Predict — outlook with intervals
Work orders & visit
Provenance appendix
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