Building Plan Generation Using Pre-configured Slices
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Solution Overview
Problem
Designing building plans for repetitive spaces is a tedious and resource-intensive process due to the numerous factors that need to be considered, such as room connections, structural interference, and exit egress systems, which slows down the automated generation process even with increased processing power.
Innovation Solution
A system that uses a library of pre-configured 'slices' with predefined parameters and placement logic to quickly generate building plans by selecting and placing these slices, reducing the need for repetitive calculations and increasing processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated building plan generation is performed using traditional methods, then building plans can be generated automatically, but the process is time-consuming and resource intensive
Solution Approach 1:
The building plan is segmented into reusable slices that represent discrete spatial units. Each slice is pre-configured with specific room types, walls, and structural elements. This segmentation allows the system to assemble building plans by combining pre-defined slices rather than generating entire plans from scratch, significantly reducing computation time while maintaining automation.
Solution Approach 2:
Slices are pre-configured with complete spatial configurations, room layouts, and structural details before being used in plan generation. This preliminary action stores validated design patterns that can be quickly selected and assembled, eliminating the need to re-evaluate basic spatial relationships during automated plan generation and reducing processing time.
2Productivity
If traditional automated generation methods are used, then building plans can be generated, but processing power requirements increase with increased complexity
Solution Approach 1:
The system creates copies of pre-configured slices and assembles them to generate building plans. Instead of performing complex spatial calculations for each new plan, the system replicates validated slice configurations and combines them according to project requirements. This copying approach dramatically reduces processing power consumption while increasing generation speed.
Solution Approach 2:
The system varies parameters such as the number of slices, slice types, and arrangement patterns to generate different building plan configurations. By changing these high-level parameters rather than recalculating entire spatial designs, the system achieves multiple plan variations with minimal processing power while maintaining high productivity.
3Manufacturing precision
If detailed design considerations are performed for each building plan, then design quality is improved, but the process becomes tedious and complicated
Solution Approach 1:
Detailed design considerations are performed in advance during slice creation. Each slice is pre-configured with validated room layouts, wall placements, and structural elements that have already been checked for design quality. This preliminary action transfers the complexity of detailed design to the slice creation phase, allowing automated assembly to maintain high design quality without repeating complex evaluations.
Solution Approach 2:
Slices are designed to be universal building blocks that can be used across multiple different building plans. A single slice configuration can serve multiple purposes and be replicated throughout a project or adapted for different projects. This universality reduces process complexity by eliminating the need to perform detailed design considerations for each individual plan while maintaining consistent design quality.
Data Source
AI summary
A non-transitory computer-readable storage medium is disclosed. In an embodiment, the non-transitory computer-readable storage medium includes instructions that, when executed by a computer, cause the computer to perform steps involving receiving parameters, selecting pre-configured slices from a library of slices that satisfy the parameters, and placing the selected slices to generate a configuration variant in accordance with slice placement logic.