Engineers and iHawk classify defects, retain asset history, compare inspections.

Operators responsible for thermal and conventional power stations, boilers, stacks, cooling structures, roofs, tanks, balance-of-plant equipment, inspectors, maintenance teams, and outage plans cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Power Generation Plant Aerial Inspection and Maintenance Planning combines connected field data with application software. Drones capture high-resolution visual, thermal, geospatial, and supported specialist inspection evidence around inaccessible or hazardous generation assets. Engineers and iHawk classify defects, retain asset history, compare inspections, prioritize condition findings, and prepare maintenance and regulatory evidence. Plant teams target follow-up inspection, plan outage work, repair defects, reduce scaffolding and exposure, verify condition.
Teams configure the monitored assets, users, and operating rules. Drones capture high-resolution visual, thermal, geospatial, and supported specialist inspection evidence around inaccessible or hazardous generation assets. Drone imagery and survey records transfer through the managed field workflow into iHawk; no universal public network bearer is specified. Engineers and iHawk classify defects, retain asset history, compare inspections, prioritize condition findings, and prepare maintenance and regulatory evidence. Plant teams target follow-up inspection, plan outage work, repair defects, reduce scaffolding and exposure, verify condition.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
Drones capture high-resolution visual, thermal, geospatial, and supported specialist inspection evidence around inaccessible or hazardous generation assets
Drone imagery and survey records transfer through the managed field workflow into iHawk; no universal public network bearer is specified
Engineers and iHawk classify defects, retain asset history, compare inspections, prioritize condition findings, and prepare maintenance and regulatory evidence
Plant teams target follow-up inspection, plan outage work, repair defects, reduce scaffolding and exposure, verify condition
Designed for thermal, conventional, nuclear-support, biomass, hydro and other generation operators, engineering teams, inspection contractors, outage planners, and asset managers
Authorized users can review current status, history, and operating exceptions
Attributes fewer than 20% of comparable Energy & Utilities listings share:
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Cyberhawk, no project needed.

Specialists process records into orthomosaics, point clouds.

IHawk aligns repeat captures, organizes observations and asset context.

The monitoring workflow identifies and maps likely emission sources.
Strateon and the Tachyus modeling workflow reconcile available data.

Afira validates and organizes time-series records against configured permits.

NODA forecasts demand, identifies flexibility by network and building.

Use continuous asset analytics and risk-based guidance to optimize hydropower operation, maintenance and equipment lifetime.

The Avdhaan platform validates meter readings and detects tampering.