This custom workflow directly targets the multi-million dollar risk of insulator flashover, which causes cascading outages and extensive repair costs. It automates the repetitive, manual correlation of weather station data (salt spray, dust, pollution), historical flashover events, and site inspection records to generate a dynamic, geospatial risk model. The operational upside comes from shifting from reactive, calendar-based washing to predictive, condition-based campaigns, optimizing crew deployment and capital spend on insulator replacement ahead of failure.




