MANY MINDEDGrid inspections scale without adding staff
Grid inspections now scale without adding staff: Coldwater Board of Public Utilities in Michigan expanded coverage from two feeders to 16,000 assets using existing teams. Evergy in Missouri shifted manhole and vault inspections from confined-space teams requiring three personnel to non-entry high-resolution imaging by 2019, later moving all imagery to Grid Vision by early 2026. One Mountain West utility identified 7% of cotter pins installed upside down during inspections—a finding that directly increased wildfire ignition risk. These practices feed into utility regulators' risk models, as seen in Hawaii's wildfire mitigation updates and Texas's WMP filings.
The mechanism is connected asset data: regulators require inspection findings to update grid risk models, while adaptive AI techniques identify defects in historical imagery within 30 minutes instead of weeks. This enables design teams to verify underground infrastructure before projects, preventing failures that waste energy or trigger blackouts.
For communities facing wildfire threats, this means more reliable energy access during disasters. Fewer blackouts and less energy waste directly support basic needs like heating, lighting, and communication when infrastructure is most vulnerable. The system’s scalability without new staff shows how data-driven inspections can strengthen resilience without increasing costs.
What to watch: How quickly other utilities adopt AI-powered defect detection, and whether the 7% cotter pin finding reflects broader patterns. The source notes this is sponsored content from eSmart Systems and applies only to cited cases—specific results may not generalize. Dates and scales reflect October 2026 reporting.
Source: Utility Dive