Spatial Information Generation for BIM Data Simplification
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Solution Overview
Problem
Building Information Modeling (BIM) models require significant computational resources for analysis and simulation due to excessive information, leading to high costs and inefficiencies in building operation and maintenance, as they include unnecessary data and lack virtual design elements.
Innovation Solution
A spatial-information generation apparatus that simplifies BIM data by deleting unnecessary information, reducing the data amount, and generating simplified spatial information, which includes a reference-plane acquirer, simplification-section setter, and shape simplifier to transform, divide, or combine spaces, thereby reducing processing loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If BIM model data is used for analysis and simulation, then comprehensive building information is available, but computational cost and processing time increase significantly
Solution Approach 1:
The patent extracts only the necessary spatial information from the comprehensive BIM model, separating essential geometric data from unnecessary attribute and relation information. This extraction process creates a simplified spatial model that retains building layout and structural information while removing redundant data, thereby reducing computational burden without losing critical spatial relationships needed for analysis and simulation.
Solution Approach 2:
The patent segments the BIM model into distinct components: essential spatial information (retained) and non-essential information (removed). By dividing the data structure into necessary geometric elements and unnecessary attribute elements, the system processes only the segmented essential portion, significantly reducing processing time and computational resources while maintaining the integrity of spatial analysis capabilities.
2Loss of information
If BIM model includes detailed attribute information, then comprehensive building data is captured, but data processing complexity increases
Solution Approach 1:
The patent extracts and removes unnecessary attribute information and relation information from the BIM model, keeping only essential spatial geometric data. This extraction eliminates complex material specifications, detailed component attributes, and relational data that are not required for spatial analysis, thereby simplifying the data processing architecture while preserving critical spatial relationships.
Solution Approach 2:
The patent changes the data representation parameters by converting detailed BIM model data into simplified spatial information with reduced precision for non-critical attributes. This parameter transformation maintains essential spatial coordinates and geometric relationships while reducing the precision and detail level of attribute information, thereby lowering processing complexity without significantly impacting analysis accuracy.
3Adaptability or versatility
If full BIM model is converted to other software formats, then data compatibility is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary simplification of the BIM model before conversion to other software formats. By pre-processing the model to remove unnecessary information and extract only essential spatial data, the conversion process becomes faster and more efficient. This preliminary action reduces the data volume that needs to be converted, thereby decreasing conversion time and computational resource requirements while maintaining software compatibility.
4Manufacturing precision
If BIM model represents physical objects accurately, then construction fidelity is maintained, but virtual design elements are excluded
Solution Approach 1:
The patent applies local quality by maintaining high precision for physical geometric elements that require construction accuracy while using simplified representations for virtual design elements. Essential spatial coordinates, structural dimensions, and building envelope geometries retain high fidelity for accurate construction representation, whereas operational and control-related virtual elements are represented with sufficient but not excessive precision, optimizing the balance between construction accuracy and virtual design versatility.
Data Source
AI summary
A spatial-information generation apparatus according to an embodiment of the present invention includes a reference-plane acquirer, a simplification-section setter, and a shape simplifier. The reference-plane acquirer acquires, on the basis of a first spatial object related to a first space, first attribute information indicating attributes of the first spatial object, and first relation information indicating a relation between the first spatial object and objects of other constituent elements of the building, a reference plane object related to a plane of a part of the first space from the first spatial object and generates a shape of the reference plane object. The simplification-section setter sets a simplification section, which is a target to be simplified, in the shape of the reference plane object. The shape simplifier simplifies the shape of the reference plane object in the simplification section to thereby generate the reference plane object in the simplified shape.