A method and system for automatically generating a room object based on a text label
By using a text-based identification method to filter specific layers in CAD drawings and parse the geometric and attribute data of Tianzheng wall objects, the problem of high dependence on drawing quality, low recognition accuracy, and low efficiency in existing technologies is solved. This achieves efficient and accurate generation of room objects, which is suitable for BIM model conversion in the field of architectural design.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING TIANZHENG SOFTWARE CO LTD
- Filing Date
- 2026-02-10
- Publication Date
- 2026-06-09
AI Technical Summary
Existing technologies for generating BIM model room objects from CAD drawings suffer from several problems, including high dependence on drawing quality, inability to intelligently process Tianzheng objects, difficulty in connecting specific layer lines with Tianzheng wall lines, low accuracy in identifying closed wall areas, and a disconnect between generation and merging. These issues lead to recognition failures or fragmentation and are inefficient.
By using a text-based identification method, specific layers of CAD drawings are filtered, the geometric and attribute data of Tianzheng wall objects are parsed, line segment filtering and endpoint snapping are performed, intersection, break, merge and topology reconstruction are carried out, closed polygon regions are detected, and room objects with name, outline and area attributes are generated.
It achieves highly robust handling of auxiliary lines on non-standard layers during the design process, improves the success rate and accuracy of automated processing, and enhances the conversion efficiency from CAD drawings to BIM room models, making it particularly suitable for large-scale projects.
Smart Images

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