Layer Analysis AI
AI analysis of CAD drawing layer organization and content.
Definition
Layer Analysis AI examines the layer structure of CAD drawings to verify standards compliance, identify content types, and organize drawing information. These systems can check layer naming conventions, ensure content is on correct layers, and extract information by layer for analysis.
In Depth
CAD drawing layer organization is the filing system of construction drawings — elements are assigned to layers based on their type and discipline, and the layer structure determines how drawings are displayed, plotted, and analyzed. AI reads and interprets the layer organization to understand what each element represents.
National CAD Standard (NCS) layer naming conventions use a structured format: discipline (A for architectural, S for structural, M for mechanical), then major group (WALL, DOOR, EQPM), then minor group and status. AI parses these layer names to classify elements — recognizing that A-WALL-FULL is an architectural full-height wall, S-COLS is a structural column, and M-DUCT-EXHS is a mechanical exhaust duct. This classification enables automated analysis of the drawing content.
Examples
Checking layer naming conventions
Verifying content is on correct layers
Extracting information by layer
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Layer Analysis AI examines the layer structure of CAD drawings to verify standards compliance, identify content types, and organize drawing information. These systems can check layer naming conventions, ensure content is on correct layers, and extract information by layer for analysis.
Checking layer naming conventions. Verifying content is on correct layers. Extracting information by layer.
Automated Drawing Review: Automatically review drawings against building codes, internal standards, and client requirements.