A method and system for constructing a 3D model of a smart city

Through deep learning-based technology, feature extraction and feature modulation optimization processing of three-dimensional point cloud data, combined with natural language description, the problem of difficulty in accurately expressing the internal structure and functional layout of cities in the existing technology is solved, and a more accurate three-dimensional urban model construction is achieved.

CN119091075BActive Publication Date: 2025-03-18绵阳恒持金属设备有限公司
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Patent Information

Application Number
CN202411575078.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-06
Publication Date
2025-03-18
Estimated Expiration
2044-11-06

AI Technical Summary

Technical Problem

The existing three-dimensional urban model construction method is difficult to accurately express the internal structure and functional layout of the city, resulting in the generated three-dimensional model not being accurate enough in the expression of detailed information.

Method used

Using deep learning-based data processing technology, feature extraction is performed on three-dimensional point cloud data in modeled urban areas, semantic features of the three-dimensional structure of the urban area are captured, and combined with the natural language description input by users, feature modulation and optimization of the three-dimensional structure of the urban area is performed to generate an optimized urban area three-dimensional model.

Benefits of technology

By integrating the geometric information of urban areas and the language description information of urban characteristics, the generated three-dimensional model can more accurately reflect the internal structure and functional layout of the city, and improve the application value of the model in urban planning and management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the field of 3D modeling, and specifically discloses a method and system for constructing a 3D model of a smart city, which uses a data processing technology based on deep learning to extract features from the 3D point cloud data of the urban area to be modeled, captures the semantic features of the 3D structure of the urban area, and combines the natural language description of the characteristics of the urban area input by the user to perform feature modulation optimization processing on the 3D structure of the urban area, further optimizes the detailed performance of the 3D model, and thus realizes the intelligent construction of the 3D model of the urban area. In this way, the geometric information of the urban area and the language description information of the urban characteristics can be effectively integrated, so that the generated 3D model of the urban area can more accurately reflect the internal structure and functional layout of the city, and improve the application value of the model in urban planning and management.
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Citation Information

Patent Citations

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