Digital twins · live examples

Four digital twins. Four decisions.

A digital twin earns its keep when it changes a decision. Each twin here is a real 3D asset with a condition heatmap, a forecast you can fast-forward, and the choice it puts in front of the person who owns it.

Updated 9 min readBy Karna Shukla · Yellowfirst
Four live twins · open now

Explore a decision twin.

Rotate the model, tap a marker, filter by severity — then fast-forward 30, 60 or 90 days and watch the cost of waiting grow.

Short answer

A decision twin is a digital twin built around a decision rather than a visualization: it maps live condition data onto a 3D model of the asset, forecasts how each finding evolves, prices the cost of acting now versus waiting, and routes the recommended action to the person with authority. The four examples here — a processing plant, a fighter aircraft, a crude storage tank and a bottling line — each show the same pattern: find it early, price the wait, decide inside a planned window.

How a decision twin works

01ScanSensors, robots, drones and inspections update condition.
02HeatmapFindings mapped onto the 3D asset by severity.
03ForecastRemaining life and risk projected forward.
04Price the waitAct-now cost vs wait-to-failure cost.
05DecideRecommended option to the right owner.
06LearnOutcome updates the model and thresholds.

↺ The twin is the interface; the decision is the product.

Digital twin (visual)Decision twin
AnswersWhat does the asset look like now?What should we do about it, by when, and who decides?
Output3D model and dashboardsRanked options with cost, risk and authority
TimePresent statePresent plus 30 / 60 / 90-day forecast
Measured byModel fidelityOutages avoided, cost of waiting, decision latency

Processing plant twin · Processing plant · Train 2

01 · Manufacturing & process

A gas-processing train — tank farm, fractionation column, compressors and utilities — with 1.2 million sensor tags feeding one condition heatmap. The decision it drives: fix the compressor bearing in a planned slowdown, before it trips the whole train.

▶ Open the live processing plant twin

What the heatmap shows right now

ZoneFindingMeasurementRemaining lifeRecommended action
K-301 · Compressor K-301 · stage 2Bearing-wear signatureVibration: 7.8 mm/s (alarm 7.1)21 daysChange bearings in this week’s planned slowdown; pre-stage the spare kit.
S-2 · LPG sphere S-2 · PSV-7Relief-valve test overdueTest due: 12 days agoOverduePull PSV-7 for bench test and swap in the certified spare.
C-101 · Column C-101 · trays 18–24Rising differential pressureΔP: +22% vs design60 daysReduce reflux 4% and schedule an antifoam trial.
T-3 · Crude tank T-3 · floorFloor-plate corrosionMFL indication: 44% loss, 2 plates180 daysKeep in service at reduced fill height; plan floor repair at next cleaning.
PR-3 · Pipe rack PR-3 · 8" crude lineCorrosion under insulationWall loss: 31% at 3 locations140 daysStrip insulation at the three hot spots; confirm with UT.

The cost of waiting

Fast-forward the twin and watch the same finding become a different decision. Illustrative figures.

HorizonReadinessRisk exposureAct nowWait to failure
TodayRunning · 2 alerts$3.8M$180K · 36h$4.2M · 6d
+30 daysRunning · throughput −4%$5.2M$240K · 36h$4.2M · 6d
+60 daysAt risk · trip likely$8.9M$1.1M · 3d$4.2M · 6d
+90 daysTripped · Train 2 down$14.6M—$4.2M · 6d

The decision it puts in front of a person

  1. a. Run to the planned turnaround — Keep Train 2 at full rate until March. K-301 vibration keeps climbing.
  2. b. Swap K-301 bearings in this week’s planned slowdown — 36-hour slowdown, parts on site. Reliability and operations approve. ← recommended
  3. c. Controlled shutdown · full compressor overhaul — Six days down, contractor mobilization, $4.2M of deferred production.

Data it reads: Historian (PI, Aveva, Ignition), CMMS/EAM (SAP PM, Maximo), production plan, stores and spares, inspection reports.
Who decides: Reliability engineer and operations manager.

Fighter aircraft twin · Multirole fighter · Tail 412

02 · Defense & aerospace

One airframe of a multirole fleet, with structural, propulsion, landing-gear and flight-control findings on the model where maintainers actually work. The decision it drives: restrict and inspect now, or ground later at ten times the cost.

▶ Open the live fighter aircraft twin

What the heatmap shows right now

ZoneFindingMeasurementRemaining lifeRecommended action
WR-01 · Wing root fitting · starboardFatigue crack indicationCrack length: 1.9 of 3.0 mm limit38 flight hoursRestrict to 5G and inspect within 12 flight hours.
NZ-03 · Nozzle petals · hot sectionThermal distressHot-section temp: +46 °C vs baseline120 flight hoursBorescope at the next phase inspection; trend exhaust temperature every flight.
GL-04 · Main landing gear · portHydraulic seep at sealPressure decay: 3.1 psi/hr64 flight hoursReplace the strut seal kit at the next turnaround.
IN-02 · Intake lip · lowerFOD erosionErosion depth: 0.42 mm210 flight hoursBlend and recoat during the next scheduled maintenance.
VT-06 · Vertical tail attachCorrosion pittingPitting depth: 0.18 mm300 flight hoursTreat and seal; re-inspect in 90 days.

The cost of waiting

Fast-forward the twin and watch the same finding become a different decision. Illustrative figures.

HorizonReadinessRisk exposureAct nowWait to failure
TodayMission capable · restricted$2.4M$48K · 2d$1.9M · 21d
+30 flight hoursMission capable · restricted$3.1M$62K · 2d$1.9M · 21d
+60 flight hoursRestricted · 3G envelope$4.6M$410K · 9d$1.9M · 21d
+90 flight hoursNot mission capable$7.8M—$1.9M · 21d

The decision it puts in front of a person

  1. a. Fly as scheduled — Keep the full envelope. The fatigue crack keeps growing at the wing root.
  2. b. Restrict to 5G · inspect wing root within 12 FH — Stays mission capable. Maintainer and engineering approve. ← recommended
  3. c. Ground · replace wing fitting now — 21 days down, spares pulled from depot.

Data it reads: Maintenance records, flight-hour logs, NDI and borescope results, health and usage monitoring, parts and depot availability.
Who decides: Maintenance officer, engineering and operations.

Storage tank + crawler twin · Crude storage tank T-2

03 · Oil & gas · robotics

An API 650 crude tank mapped by a wall-climbing crawler — 214,880 ultrasonic readings, plus drone and survey data — so shell loss at a weld becomes a decision about fill height, not a surprise leak.

▶ Open the live storage tank + crawler twin

What the heatmap shows right now

ZoneFindingMeasurementRemaining lifeRecommended action
W-07 · Shell course 2 · weld 7Wall loss at vertical weldWall thickness: 5.8 of 10 mm45 daysHold fill at 70% and confirm with manual UT before Friday’s fill cycle.
AN-02 · Annular plate · southEdge settlementDifferential settlement: 38 mm150 daysSurvey again in 60 days; seal the chime to stop water ingress.
MOV-1 · Outlet valve MOV-1Seat leak-throughLeak rate: 0.8 L/min70 daysReplace seat at the next line outage; lock the upstream valve until then.
PV-3 · Pressure-vacuum vent PV-3Pallet stickingSet-point drift: +14%90 daysClean and re-test PV-3; add it to the monthly drone route.
RF-04 · Roof plates · north-westPitting under coatingPit depth: 1.2 mm240 daysSpot-repair coating in the spring campaign.

The cost of waiting

Fast-forward the twin and watch the same finding become a different decision. Illustrative figures.

HorizonReadinessRisk exposureAct nowWait to failure
TodayIn service · fill limited$1.1M$36K · 0d$1.2M · 28d
+30 daysIn service · fill limited$1.4M$58K · 0d$1.2M · 28d
+60 daysIn service · 50% fill$2.3M$420K · 12d$1.2M · 28d
+90 daysOut of service · leak risk$3.9M—$1.2M · 28d

The decision it puts in front of a person

  1. a. Keep filling to full height — No change to operations. Shell loss at weld 7 keeps advancing.
  2. b. Hold fill at 70% · confirm with UT before Friday — Crawler already mapped it. The integrity engineer approves. ← recommended
  3. c. Drain, clean and repair now — 28 days out of service; 118,000 bbl of storage lost.

Data it reads: Robotic UT and drone inspection data, tank records, fill schedules, survey data, API 653 limits.
Who decides: Integrity engineer and terminal operations.

Bottling line twin · Bottling line 3 · 36,000 bph

04 · Food & beverage

A 36,000-bottles-per-hour line — blow molding, filling, inspection, labeling, packing and palletizing — watching 4,200 line signals. The decision it drives: a 25-minute valve fix in today’s clean-in-place window instead of a stopped line and product on hold.

▶ Open the live bottling line twin

What the heatmap shows right now

ZoneFindingMeasurementRemaining lifeRecommended action
FV-14 · Filler · valve 14Fill-level driftUnder-fill: 1.9% of bottles (limit 0.5%)9 daysSwap valve 14 seals during today’s 2 pm CIP window; hold nothing, reject stays automatic.
BM-2 · Blow molder · oven zone 4Lamp degradationWall-thickness variance: +18% vs baseline30 daysReplace two IR lamps at the weekend changeover; raise zone 4 power 3% until then.
VI-1 · Empty-bottle inspectorReject rate climbingRejects: 0.9% (normal 0.3%)21 daysLink rejects to blow-molder zone 4 — same root cause, one fix.
LB-3 · Labeler · glue stationGlue temperature swingTemp swing: ±9 °C (spec ±3)45 daysReplace the glue-tank thermocouple; recheck label adhesion at shift start.
CIP-1 · Water treatment · RO skidConductivity creepingPermeate: 31 µS/cm (limit 40)60 daysSchedule membrane clean-in-place next week; product water stays in spec.

The cost of waiting

Fast-forward the twin and watch the same finding become a different decision. Illustrative figures.

HorizonReadinessRisk exposureAct nowWait to failure
TodayRunning · 2 alerts$310K$4K · 25 min$96K · 10h
+7 daysRunning · OEE −3 pts$420K$6K · 25 min$96K · 10h
+14 daysAt risk · compliance$690K$38K · 4h$96K · 10h
+30 daysStopped · lots on hold$1.2M—$96K · 10h

The decision it puts in front of a person

  1. a. Run to the weekend changeover — Keep line 3 at 36,000 bph. Under-fills on valve 14 keep climbing.
  2. b. Swap valve 14 seals in today’s 2 pm CIP window — 25 minutes inside a planned stop. Maintenance and quality approve. ← recommended
  3. c. Stop the line for a full filler rebuild — Ten hours down, contractor on site, a day of lost production.

Data it reads: PLC and line MES tags, fill-level and vision inspection, CIP schedule, quality holds, maintenance history.
Who decides: Line manager, maintenance and quality.

The pattern across all four

Find it while it’s cheap

Each twin surfaces the finding weeks before failure — a bearing signature, a crack indication, wall loss at a weld, a drifting fill valve.

Price the wait

The fast-forward turns a finding into money and readiness, so “later” stops looking free.

Use the planned window

Every recommendation fits a window that already exists: a slowdown, a turnaround, a CIP cycle, a phase inspection.

Keep the owner in charge

The twin recommends; the reliability engineer, maintainer or line manager decides — and the outcome trains the next call.

Key takeaways
  • A twin that doesn’t change a decision is a screensaver.
  • Forecast the cost of waiting — that’s what moves people.
  • Route every recommendation to a named owner with authority.

Frequently asked questions

What is a digital twin?
A live digital representation of a physical asset, process or system, updated with real data so you can see its condition and simulate what happens next.
What is a decision twin?
A digital twin designed around a decision: it forecasts how findings evolve, prices acting now versus waiting, and routes the recommended option to the person with authority.
What data does a digital twin need?
Condition data (sensors, inspections, robots, drones), asset history from maintenance systems, the operating plan, and the limits and policies that define when to act.
How is a digital twin used for predictive maintenance?
It maps condition findings onto the asset, estimates remaining life, and recommends the cheapest safe window to act — before an unplanned stop.
Do I need a perfect 3D model to start?
No. Start with the decision and the data. A simplified model with accurate findings beats a photorealistic model with none.

Sources

Written by Karna Shukla, Founder & CEO of Yellowfirst. Reviewed October 1, 2026. About this site →

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