A method and system for intelligent generation of new building models in historical and cultural districts

By extracting the dominant morphological genes and recessive quantitative genes of historical buildings, a style gene library is constructed and a parameterized control model is generated. This solves the problems of rigidity and ambiguity in the style control of newly built buildings in historical and cultural blocks, and realizes the accurate mapping and collaborative design of style and planning indicators.

CN122087899APending Publication Date: 2026-05-26BEIJING URBAN CONSTR EXPLORATION & SURVEYING DESIGN RES INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING URBAN CONSTR EXPLORATION & SURVEYING DESIGN RES INST
Filing Date
2025-12-15
Publication Date
2026-05-26

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Abstract

This invention provides an intelligent generation method and system for new building models in historical and cultural blocks. The method includes: acquiring data on historical buildings in a target block to obtain a standard dataset of historical buildings based on individual building data; inputting this dataset into a display characteristic extraction model to output the dominant morphological genes of the components contained in each historical building; extracting the recessive quantitative genes of the components from the components contained in the individual historical building data; constructing a gene-parameter mapping rule base based on the architectural genes of historical buildings and the planning indicator constraints of the historical and cultural block to be built; constructing a parametric control model based on the gene-parameter mapping rule base; and generating a new building model of the historical and cultural block to be built by perturbing the parameters based on the parametric control model. The fusion of the dominant morphological genes and the recessive quantitative genes of the components achieves complementarity of geometric and textural information, laying the foundation for accurate mapping of architectural genes and parameters.
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