PV Farm Hot-Spot Triage (Thermal + RGB)

Greater San Antonio, TX • 2025-07-20
Thermal and RGB comparison of PV rows with localized hotspots

Executive Summary

Thermal inspections by drone are the fastest, least disruptive way to pinpoint PV performance issues. From above the array we capture module-level temperature patterns in minutes—not days on foot—and do it safely without walking tables. Pairing thermal with RGB frames cuts false positives and gives technicians exact row/string locations and visual context. The outcome is a ranked punch-list that turns guesswork into targeted maintenance: less downtime, fewer truck rolls, and proof of repairs on the follow-up scan.

The value is speed, clarity, and accuracy: instead of walking miles of modules in the heat, the team gets a defect list with photos, locations, and priorities. Maintenance can roll straight to the right tables with the right parts.

What We Look For (Thermal Anomalies)

  • Module hotspots (cell or sub-string) indicating cracked cells or bad solder.
  • Bypass diode signatures—distinct thermal patterns at junction boxes.
  • String outages / mismatch—rows with cooler-than-expected response.
  • Soiling / shading bands creating uneven heating across modules.
  • Balance-of-system heat at combiner/inverter pads suggesting load issues.

Capture → Map → Action

  1. Fly a consistent-altitude grid with thermal + RGB to lock alignment.
  2. Detect anomalies during processing and validate with RGB frames.
  3. Create a Map of entire site and annotate each anomolie.
  4. Hand off to maintenance with photos, severity, and recommended checks.

Quality & Safety

  • Morning flights reduce thermal shimmer and give consistent module response.
  • Uniform altitude and overlap maintain comparable pixel size across sweeps.
  • Thermal + RGB pairing avoids false positives and clarifies root causes.
  • Ops brief before launch; VO on haul paths; conservative stand-off from tracker rows.

Results

  • Isolated multi hotspots and cracked-cell patterns in a single session.
  • Delivered annotated snapshots + coordinates and a CSV punch-list by string/row.
  • Enabled targeted maintenance instead of full-field walk-downs.
  • Created a baseline for future scans to verify repairs and trend issues.

Next Steps (Plain English)

  • Re-scan after repairs to confirm hotspots cleared.
  • Schedule maintenance scans (quarterly/yearly) to catch faults before it costs you.
  • Track repeat offenders—flag modules/strings that recur across scans.
  • Share the defect list link with techs and bring the right spares to the row.