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Renewable Energy

Solar & Wind Farm Drone Inspection

Autonomous fleet inspection of panels and turbines — underperformers found and ticketed before they cost a kWh.

A 100MW solar site has half a million panels; a wind farm has blades 80m up. Manual inspection samples a fraction and lags failures by months of lost generation. Centertron flies the whole site, finds every hotspot and blade crack, and keeps a live World Model of generation health.

Expected outcome

Full-site coverage in days, not months. Underperforming strings + blade defects auto-ticketed with thermal evidence.

Runs as a continuous outcome

A standing coverage SLA — underperformers detected and ticketed continuously, with utilization tracked in the Outcome Console and rolled up to the portfolio.

SLASite inspection coverage >= 98 %/ daily Part of Autonomous Grid Resilience

Install this pack, then graduate it into a continuous outcome from My Workflows — it earns autonomy (shadow → assisted → autonomous) as it proves itself on real telemetry.

Hours saved / wk

48

FTEs freed

1.2

Monthly value

$17,500

Triggers

Scheduled site inspection
ready
String / turbine performance drop detected
ready
Post-hail / storm rapid scan
beta
Asset manager manual dispatch
ready

Integrations

Renewable SCADA / performance platform

Correlate defects with generation data

O&M / CMMS platform

Raise prioritized repair tickets

Site GIS / asset map

Locate strings/turbines + store evidence

Slack / Teams (optional)

High-loss defect alerts

Agent steps

  1. 1

    Perceive

    Captures thermal + visual of every panel string and turbine blade, aligned to prior scans.

  2. 2

    Navigate

    Flies the grid/turbine pattern with geofence + airspace awareness, swapping batteries autonomously.

  3. 3

    Inspect

    Detects hotspots, dead strings, soiling, cracks, and erosion.

  4. 4

    Measure

    Quantifies thermal delta + defect size and estimates the generation loss.

  5. 5

    Decide

    Auto-clear healthy assets; raise prioritized O&M tickets ranked by lost-kWh.

  6. 6

    Report & log

    Writes findings + evidence to the asset platform and Decision Log.

State Transformation

A formal contract: what this pack converts, with explicit uncertainty bounds and verification criteria.

Initial state

Renewable site with sampled, lagging inspections and hidden generation losses

Target state

Fully scanned site where every underperformer is detected, quantified, and ticketed by lost-kWh priority

Invariants (must hold)

asset id resolvedgeofence + airspace respectedevidence geo-tagged

Uncertainty bounds (max acceptable error)

max_missed_defect≤ 2.0%
max_loss_misestimate≤ 10.0%

Verification: Site coverage complete + O&M tickets raised + evidence stored against asset id

Domain ontology — entities & states

The vocabulary this pack reasons over. Each entity has its own state machine.

Inspection5 states
scheduled→in_flight→processing→complete→failed
Defect4 states
detected→quantified→ticketed→repaired
Asset4 states
nominal→degraded→underperforming→offline

Relations

  • · Inspection-covers-Asset
  • · Defect-on-Asset
  • · Defect-raises-Ticket

Audit & explainability

  • Lost-kWh ranking of every open defect
  • Thermal + visual evidence pinned to each asset
  • Coverage + defect-trend reporting per inspection cycle

Calculate my ROI

Drag the sliders. We'll email you a personalized report — no fluff, your numbers.

10 people
50

Hours/wk saved

48

FTEs freed

1.2

Monthly value

$17,500

$210,000/yr

We'll never sell your email. One report, no drip campaign.

Estimates use the same scaling formula sales reviews on the call. No marketing math.

Heads up — setup is white-glove for the first 5 customers

We connect Gmail/Outlook/ERP/Slack with you on a 30-min call to get your first pack live in <48 hours. After installation, the pack runs in your audit trail with every decision logged.

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