AI-driven architectural model family parameter generation method and system

Through the AI-driven architectural model family parameter generation method, family parameters are automatically analyzed and set, which solves the time-consuming and error-prone problems of manual setting, realizes efficient and accurate family parameter setting, and adapts to complex design intentions.

CN120449284BActive Publication Date: 2025-09-05SUZHOU ZHIZAIYUN DATA TECH CO LTD
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Patent Information

Application Number
CN202510932957.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-08
Publication Date
2025-09-05
Estimated Expiration
2045-07-08

AI Technical Summary

Technical Problem

In the existing technology, the family parameter setting of building components relies on manual experience, which is time-consuming and labor-intensive and prone to parameter setting errors, affecting the model quality and subsequent applications.

Method used

An AI-driven approach is adopted to analyze user design intent through a preset AI large model, break it down into intent points, and automatically map family parameters and parameter value ranges for each intent point. The dependencies and constraints between parameters are considered to avoid contradictory parameter combinations and realize automated family parameter setting.

Benefits of technology

It improves the accuracy and efficiency of family parameter setting, reduces errors caused by human factors, and optimizes the adaptability of complex design intentions and the parameter determination process.

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Abstract

The present application relates to an AI-driven architectural model family parameter generation method and system, which belongs to the field of building information model technology, wherein the method includes: receiving a design intent proposed by a user, analyzing the design intent based on a preset AI large model and extracting all intent points; mapping family parameters for each intent point based on a preset mapping relationship; defining constraints between the family parameters mapped to different intent points, and determining the family parameter value range corresponding to each intent point based on the definition result; and the definition result satisfies: there is no conflict between the family parameter range corresponding to any intent point and other intent points; generating and outputting a parameter combination with the family parameter value range corresponding to all intent points. The present application has the effect of improving the efficiency of family parameter setting and reducing parameter setting errors caused by human factors.
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Citation Information

Patent Citations

  • Fabricated building design and construction integrated collaboration method based on component parameter library

    CN115168971A