Building data analysis processing method based on matrix operation

Abstract

The invention discloses a building data analysis and processing method based on matrix operation, and belongs to the technical field of building data analysis and processing, and the building data analysis and processing method comprises the following specific steps: S1, extracting CAD drawing data or revit data; s2, extracting primitive data; s3, converting the primitive vector data into pixel point cloud data according to a specified proportion; s4, obtaining matrix data of spatial numbering; s5, obtaining a space sequence and space data; s6, drawing design; s7, drawing out the picture; s8, warehousing and estimating the data. According to the method, the primitive data is converted into the matrix, the space sequence and the space data are obtained, the space data are operated through the matrix, complex geometric formulas are not needed, design needed data, the space sequence and the space data can be rapidly obtained, the search precision of drawings can be improved, and the data can be deeply utilized based on deep learning. Therefore, a reference is provided for a design scheme, common primitives can also be generated, and the design efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of architectural data analysis and processing, in particular to a method for analyzing and processing architectural data based on matrix operations. Background technique [0002] After retrieval, Chinese Patent No. CN110688413A discloses a building data analysis system and method based on big data. This method has high requirements on hardware, requires strong technical accumulation, and requires complex geometric formulas to calculate the data required for design. Dull and repetitive work, high operating costs; [0003] Architectural design is the leading link in engineering design. The quality of blueprint design directly affects the overall cost and quality of the project. When the project is more complex, it involves more disciplines, and it is difficult to control cost, risk, construction period and drawing quality. Traditional Advanced CAD software can only draw pictures, but cannot reuse the drawing ...

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Problems solved by technology

[0002] After retrieval, Chinese Patent No. CN110688413A discloses a building data analysis system and method based on big data. This method has high requirements on hardware, requires strong technical accumulation, and requires complex geometric formulas to calculate the data required for design. Dull and repetitive work, high operating costs;

[0003] Architectural design is the leading link in engineering design. The quality of blueprint design directly affects the overall cost and quality of the project. When the project is more complex, it involves more disciplines, and it is difficult to control cost, risk, construction period and drawing quality. Traditional Advanced CAD software can only draw pictures, but cannot reuse the drawing data. The drawing data can only exist in the drawing, causing each design to be new and unable to get rid of boring repetitive work. Revit borrows the powerful modeling software , high hardware requirements, strong technical accumulation, and high operating costs have discouraged many design institutes. Faced with frequent drawing revisions, the design time is constantly compressed by Party A, the design fee is not satisfactory, and the lifelong responsibility system for design It makes designers take more risks. Traditional drawing software is obviously far behind the times and cannot meet the requirements of designers. Therefore, we propose a method for analyzing and processing architectural data based on matrix operations.

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