Substations are the joints of any national grid: fail one major switching yard and you can black out a region for days. Ground-based sensor networks are expensive to deploy uniformly, miss external threats such as differential settlement or perimeter flooding, and generate data that sits in a utility SCADA system with no independent audit trail. Grid operators consequently fly blind on the physical condition of the hundreds of substations that sit outside their routine inspection cycle.
A small constellation of thermal-infrared and SAR microsatellites closes that gap decisively. Thermal IR detects resistive heating in transformers, bus bars and switchgear — the classic precursor to a catastrophic arc fault — at a sensitivity of roughly 0.3 K above ambient. Repeat-pass InSAR on the same sites picks up millimetre-scale subsidence that signals foundation movement or soil liquefaction under heavy infrastructure. Together, the two payloads give operators a weekly independent health snapshot of every substation in the country, regardless of whether the site has working ground sensors.
The operational outcome is straightforward: anomalies are ranked by severity, geolocated to within 5 metres, and delivered to the national grid control centre as a prioritised inspection queue. Maintenance crews go where the data says to go rather than following a calendar. Insurers see an auditable record of due diligence. And when a transformer does fail, post-event imagery confirms whether the root cause was thermal runaway, settlement or storm damage — feeding directly into the next procurement cycle.