ProductsTechnologyPartnersResearchCompany
Journal
Operations notesSeptember 24, 2026Lumerian Labs2 min read

What a crew needs from a thermal finding

A thermal finding needs six parts before a crew can drive to it, confirm it and fix it.

Contents01Where, to the module02Under what conditions03How severe, on a stated scale04What it is costing05The evidence06Its history–References
Published
September 24, 2026
Series
Operations notes
Sources
4 cited

An inspection report can list hundreds of anomalies. A crew can work a handful in a day. Between the two sits a translation, usually done by hand, from a hotspot in an image to a job a technician can drive to, confirm and fix. The finding has to carry six parts for that translation to work.

Fig. 01A finding a crew can work
Fig. 01The six parts of a finding a crew can act on, as one record. Field values are illustrative.

01Where, to the module

Standard drone GPS is accurate to two to five metres, which can send a crew to the wrong row; RTK correction narrows that to one or two centimetres [1]. Better still is a component identity: block, row, string and module, in the same names the as-built drawings and the SCADA tags use.

02Under what conditions

A temperature difference means little without the conditions it was measured under. IEC TS 62446-3 sets a minimum of 600 W/m² of plane-of-array irradiance for valid thermal data, and wind above about 5 m/s cools hotspots enough to compress their signature [2]. A finding should carry irradiance, wind, ambient temperature and time of capture, so that a smaller ΔT on a cloudier day is not mistaken for an improvement.

03How severe, on a stated scale

There is no single standard scale. The IEC standard does not prescribe categories, and many operators use three or four tiers by temperature difference, from monitoring below 10 °C to urgent action above 20 °C [1]. Whatever the scale, it belongs on the finding, next to the measured value, so two reports can be compared.

04What it is costing

Severity and cost are separate measures. A string fault and a cell hotspot can share a severity class and differ by orders of magnitude in lost energy. String and combiner faults accounted for 26.89% and 21.51% of observed power loss across 373 GW of US solar in 2025 [3]. The energy at stake should set the order of a crew's work.

05The evidence

A crew should see what the analyst saw: the thermal crop, the visual crop and the reason the finding was made. In a 2026 study, a model that wrote out its diagnostic reasoning across thermal, visual and electroluminescence images reached 93% accuracy on 1,927 real modules, and a blind concordance study found its explanations closely aligned with a certified inspector's assessments [4]. With the reasoning attached, a crew can check the call on site.

06Its history

A finding that carries its own history tells a crew whether they are looking at something new, something worsening or a repair that did not hold. That history only exists if every finding is tied to the same component, flight after flight.

Aperture's findings carry five of the six today: the module, assigned on the surveyed layout and flagged exact, conflict or approximate; the conditions at capture; ΔT measured on the °C raster as the maximum minus the mean over the module; one of nine causes and one of eight next steps, set by an expert; and a follow-up that the next campaign reads. History is kept at string level until module identity clears its gate. Energy at stake waits on site energy data. Until a site supplies it, a labelled baseline stands in, and no loss figure is quoted as a measurement.

References

  1. 1DroneBundle. Drone Solar Panel Inspection: The Complete Guide for Commercial Operators (vendor guide). April 12, 2026. dronebundle.com/blog/drone-solar-panel-inspection
  2. 2Averroes. Complete Drone Solar Panel Inspection Guide 2026 (vendor guide). July 14, 2026. averroes.ai/blog/drone-solar-panel-inspection-guide
  3. 3Raptor Maps, 2026 Global Solar Report, as reported in Jowett, P. US solar assets lose average $5,070 per MW from power losses. pv magazine, February 25, 2026. www.pv-magazine.com/2026/02/25/us-solar-assets-lose-average-5070-per-mw-from-power-losses
  4. 4Mistry, D. et al. From Prediction to Diagnosis: Reasoning-Aware AI for Photovoltaic Defect Inspection. arXiv:2603.26776, March 2026. arxiv.org/abs/2603.26776
More from the journal
  • August 28, 2026CareersWe're hiring our founding team
  • November 3, 2026Lumerian JournalIntroducing Lumerian Labs
  • October 21, 2026Lumerian JournalWhy field data is weeks old by the time anyone acts on it
Founded
2026
Founded
Solar parks
06
Solar parks
Thermal frames
82,368
Thermal frames
  • Aperture
  • Prism
  • Helm
hello@lumerianlabs.com2026