Fireproofing Inspection AI
AI verification of applied fireproofing thickness and coverage.
Definition
Fireproofing Inspection AI uses sensor data and visual inspection to verify spray-applied fireproofing meets thickness requirements. It tracks coverage, identifies thin spots, and ensures structural steel fireproofing complies with fire rating requirements.
In Depth
Applied fireproofing (spray-applied fire-resistive material, or SFRM) is one of the most critical but least visible fire protection elements in a steel-framed building. The specified thickness must be maintained over every protected member, and inspections verify that the installed thickness meets the UL design requirements. AI assists by analyzing inspection data and identifying areas that need correction.
Thickness measurement data — taken at representative locations on each member — must be compared against the specified thickness for the fire-resistance rating. AI processes the inspection measurements, identifies locations that fall below the required thickness, and generates a map of deficient areas that the fireproofing contractor can address. This systematic tracking is more reliable than the manual inspection logs that are prone to missing deficient areas.
Examples
Measuring fireproofing thickness
Identifying coverage gaps
Tracking fireproofing inspections
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Fireproofing Inspection AI uses sensor data and visual inspection to verify spray-applied fireproofing meets thickness requirements. It tracks coverage, identifies thin spots, and ensures structural steel fireproofing complies with fire rating requirements.
Measuring fireproofing thickness. Identifying coverage gaps. Tracking fireproofing inspections.
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