Geometric Object Management for Architectural Layouts
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Solution Overview
Problem
Existing data management systems face inefficiencies in processing architectural layouts, particularly when dealing with imprecise data sources like imperfect drawings, which can lead to flawed computations and inaccurate room/wall determinations, impacting thermal load calculations and HVAC design.
Innovation Solution
The system employs pattern recognition techniques to transform architectural layouts into design-oriented representations by detecting clusters of wall segments, identifying junctures, and generating contours to establish candidate spatial zones and geometric objects, enabling the creation of accurate design models, including HVAC designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data management systems process architectural layouts from imperfect drawings, then processing can be performed, but the computations become flawed and room/wall determinations become inaccurate
Solution Approach 1:
The system segments the architectural layout into discrete geometric objects representing walls, rooms, and other building elements. By dividing the complex layout into manageable geometric components, the system can process each segment independently to determine accurate room shapes and wall structures even from imperfect drawings
Solution Approach 2:
The system introduces geometric objects as intermediary representations between the imperfect drawing data and the final architectural computations. These geometric objects serve as a mediating layer that cleans and structures the data, enabling accurate thermal load calculations and HVAC design without directly processing the flawed source drawings
2Measurement precision
If manual methods are used to extract room shapes from imperfect drawings, then accuracy can be improved, but management efficiency decreases
Solution Approach 1:
The system enables self-service processing by automatically detecting contours, identifying junctures, and determining geometric objects from architectural layouts without requiring manual intervention. The system serves itself by using its own processed data to improve subsequent processing, achieving both accuracy and efficiency
Solution Approach 2:
The system replaces manual mechanical extraction methods with automated computational processes. Instead of manually tracing and measuring room shapes from drawings, the system uses algorithmic contour detection and geometric analysis to automatically extract accurate room shapes, dramatically improving management efficiency while maintaining precision
3Manufacturing precision
If detailed processing of wall segments and contours is performed, then design model accuracy improves, but resource usage increases
Solution Approach 1:
The system performs preliminary detection of contours and identification of junctures before generating the final design model. By pre-processing the architectural layout to identify key geometric features and relationships, the system reduces the computational resources needed for subsequent detailed processing while maintaining high design model accuracy
Data Source
AI summary
Disclosed aspects relate to managing a group of geometric objects. The group of geometric objects is correlated to a set of spatial zones associated with an architectural layout. A set of contours is detected. The set of contours has a set of junctures. The set of junctures is based on a cluster of wall segments. The cluster of wall segments represent a set of walls of the architectural layout. Based on the cluster of wall segments, a set of wall edges is resolved. The set of wall edges interrelate with the set of contours. Based on the set of wall edges, the group of geometric objects is determined. The group of geometric objects represent the set of walls. Using the group of geometric objects, a design-model of the architectural layout is established.