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Orbitify
Onshore and offshore turbines

Wind

Blade, tower and nacelle inspection where access is expensive and weather windows are short, with agents planning campaigns around both.

Onshore and offshore

Access is the cost, not the repair

Getting a technician onto a blade is a rope team, a weather window and a stopped turbine. The inspection itself takes minutes. Everything expensive is the getting there, which is why blades get looked at annually whether or not anything has changed, and why a crack that appears in month two waits for the annual campaign.

What breaks here

Four failure modes, and what each one costs you late

Wind is the sector where the inspection decision and the access decision are the same decision, so the cost column is usually about timing rather than about the defect.

Leading-edge erosion

How it shows
Roughening and material loss along the outer third of the blade
What it costs late
Yield loss that grows quietly, often several percent before anybody schedules a repair
What catches it
RGB at blade resolution, compared against the same blade in earlier passes

Lightning strike damage

How it shows
Burn marks at the receptor, sometimes with delamination behind it
What it costs late
A strike that damaged the down-conductor can end in loss of the blade
What catches it
Capture planned from the recorded strike event rather than waiting for the annual campaign

Cracks and delamination

How it shows
Surface cracking along bond lines, trailing edge splits
What it costs late
Propagates under load, and the gap between a repair and a replacement is months
What catches it
Classified from close-range capture and tracked pass to pass for growth

Tower and foundation corrosion

How it shows
Coating breakdown, rust staining, grout deterioration at the base
What it costs late
Structural over a long horizon and expensive to access once advanced
What catches it
The same flight covers tower and transition piece, with findings attached to the turbine

Severity here is how we rank the class by default, not a judgement about your site. Every threshold is set per deployment, and a mode you consider routine can be dropped down the ranking on day one.

What we do here

Six things the layer runs on a wind fleet

Everything here is shaped by one constraint: access is expensive, so the job is to know exactly what is worth stopping a turbine for.

Plan capture around access and weather

Turbines grouped into one window rather than visited one at a time, scheduled against the forecast and the maintenance calendar you already run.

Capture blades at defect resolution

Each surface at the resolution its defect classes actually need, so erosion, cracking and lightning damage are classified rather than noted.

Measure growth, not just presence

The same blade compared against earlier passes. A category that has not moved in two years is a different decision from one that has.

Trigger capture from what happened

A lightning strike recorded in SCADA plans an inspection of that turbine, instead of the damage waiting for the annual campaign.

Group work into windows

Findings below the threshold for their own campaign are held and bundled, so one access covers three turbines rather than three accesses covering three.

Keep the blade history

Repairs, categories and passes per blade, so warranty and end-of-life decisions are argued from a record rather than from memory.

One finding

Erosion that did not need its own campaign

Not everything found has to be dispatched. The useful decision here was to group the repair into an access window that was already happening, which is a decision the layer can only make because it knows what else is outstanding.

Offshore wind turbines seen from the water
O-EYEmonitor

Leading-edge erosion, blade B

WTG-14 · blade B

category
3 of 5
extent
2.1 m
growth since
2025-04
standard
IEC 61400
O-AGENTWO-3120Proposed

Grouped into the next access window

Below the threshold for a campaign of its own, so it was grouped with two other turbines and proposed for an access window already scheduled.

Identifiers and values are illustrative.

How we work

How a wind deployment starts, and then repeats

The sequence is built around access windows, because that is the expensive resource in this sector.

01

Connect the fleet

Read-only into turbine SCADA, including alarm and strike events, plus whatever blade history you already hold. Outbound only, agreed with your operations team.

02

Baseline every blade

One full pass across the fleet, categorised per blade. Without it there is no growth rate, and growth rate is the number this sector actually decides on.

03

Run annually, and on events

Blades annually, tower and foundation on condition, plus capture triggered by recorded strikes. Findings are grouped into the next access window rather than raised one at a time.

04

Widen the limits when the record earns it

Grouping and scheduling are usually the first limits a wind team opens, because the decision is bounded and the cost of being wrong is a rescheduled window rather than a turbine.

What you get

What lands on your side after a campaign

Built for the two conversations this sector actually has: what to repair now, and what the warranty position is.

Blade condition record

Every surface captured, categorised and positioned along the span, per blade and per pass.

Web viewer · PDF

Growth rate per finding

Extent and category compared against earlier passes, which is the number a repair decision is actually made on.

CSV · API

Grouped work plan

Findings bundled into access windows, with the turbines and the scope for each one.

CSV · O-OPS

Event-triggered inspections

Capture planned from recorded strikes and alarms rather than from the annual calendar.

O-AGENT · SCADA

Tower and foundation condition

Coating, corrosion, grout and fixings from the same flight, attached to the turbine.

Web viewer · CSV

IEC 61400 evidence pack

The campaign written up for your warranty claim, insurer or asset manager.

PDF · signed

Everything is kept per blade and per pass, which is what makes the second campaign more useful than the first. Growth rates only exist if the earlier passes were retained.

Cadence

How often, and what for

Anchored to IEC 61400 and to the reality that access is the expensive part. Condition-driven beats calendar-driven here more than anywhere.

  • BladesTypical cadenceAnnually, plus after any recorded strikeWhat the pass looks forErosion, cracks, delamination, lightning damage, coating lossReferenceIEC 61400
  • Tower and nacelleTypical cadenceAnnually, externalWhat the pass looks forCoating breakdown, corrosion, oil traces, fixingsReferenceIEC 61400
  • Foundation and transitionTypical cadenceAnnually, or on conditionWhat the pass looks forGrout condition, corrosion, scour where visibleReferenceIEC 61400
  • Array and accessTypical cadenceAnnuallyWhat the pass looks forAccess tracks, cable route condition, substation and yardReferenceISO 55001

These intervals are the starting points the standards describe, not a measured result of ours. Insurers, warranty terms and your own history will move them, and the point of planning from condition is that the interval stops being the thing that decides.

How the layer maps here

All four modules, on a wind fleet

The agent's most valuable act on a wind fleet is often not dispatching. It is grouping what was found into an access window that already exists.

O-EYE

Detect

Flies blades, tower and foundation at the resolution each defect class actually needs.

Leaves behind

Blade, tower and foundation passes, categorised and positioned along the span.

Read more
O-ARC

Analyse

Streams turbine SCADA, including strike events, so a capture can be planned by the thing that happened.

Leaves behind

Turbine SCADA including strike and alarm events, and the trend between campaigns.

Read more
O-OPS

Operations

Holds blade history, previous repairs and the warranty position per turbine.

Leaves behind

Blade history, previous repairs and the warranty position per turbine.

Read more
O-AGENTacts

Decide & act

Plans capture around weather and access, and groups work into windows instead of raising it one turbine at a time.

Leaves behind

The access plan, the grouping decision, and a decision record for every action.

Read more
See, sense, know, then act
  1. 01O-EYEDetectInspection & digital twin
  2. 02O-ARCAnalyseSensors, IoT & telemetry
  3. 03O-OPSOperationsThe system of record
  4. 04actsO-AGENTDecide & actThe agentic layer

Every action writes back to the record, so the model sharpens with every job.

Questions from this sector

Offshore as well as onshore?

Both are within what drone capture does; what changes offshore is logistics and approvals rather than the analysis. We would scope an offshore campaign explicitly rather than treat it as an onshore job flown over water.

Do turbines have to be stopped?

For close-range blade capture, yes, and the stop is short. Planning around it is part of the value: grouping turbines into one window costs less production than stopping them one at a time across a season.

Can you measure erosion severity, not just see it?

Category and extent are reported per finding. Because passes are versioned, the more useful number is growth since the last one. A category that has not moved in two years is a different decision from one that has.

What about internal blade inspection?

Not from a drone. Internal inspection stays a rope or crawler job, and those findings belong in the same record. We are not going to claim aerial capture sees inside a blade.

Bring the whole portfolio under one layer. Start with one site.