Grid-Based Layout Generation for Physical Spaces
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Solution Overview
Problem
Conventional computer-aided design (CAD) tools for generating layouts of physical spaces are inefficient, as they often require multiple iterations to produce designs that meet user requirements, leading to computational wastage and time-consuming processes.
Innovation Solution
A computer-implemented method that generates a layout for a physical space by creating spatial unit grids, identifying optimal placements based on corner matching and placement parameters, and scoring placements to ensure that design parameters are satisfied at every sequence step, thereby reducing the generation of unsatisfactory layouts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional CAD applications generate layouts by dividing floorplans based on desired layout parameters, then layout designs can be produced, but multiple iterations are required to satisfy requirements, leading to computational waste and time consumption
Solution Approach 1:
The system performs preliminary actions by pre-defining spatial units with standardized dimensions and characteristics before layout generation. The floorplan is pre-divided into a grid system, and spatial units are pre-configured with their requirements. This allows the layout generation to proceed directly with satisfying configurations without needing multiple iterations, as the foundational elements are already prepared and constrained.
Solution Approach 2:
The system changes parameters by using a standardized grid-based representation for both the floorplan and spatial units, allowing for systematic variation of placement parameters. Instead of generating layouts from scratch and iterating, the system varies parameters (position, orientation, configuration) within the constrained grid framework to produce satisfying layouts in a single pass, reducing computational waste.
2Reliability
If conventional CAD applications iterate through multiple layout designs to meet requirements, then satisfactory designs can be found, but the process is computationally intensive and wasteful
Solution Approach 1:
The system segments the floorplan into a grid of standardized cells and divides spatial units into corresponding grid-based representations. This segmentation allows for systematic placement of spatial units within the grid framework, ensuring that requirements are met through the structured arrangement rather than through iterative generation. The grid-based approach provides a reliable method to satisfy constraints while minimizing computational energy.
Solution Approach 2:
By pre-defining spatial units with their requirements and pre-dividing the floorplan into a grid system, the system performs preliminary actions that ensure satisfactory layouts can be generated directly. The spatial units are pre-configured with their spatial requirements, and the grid system is pre-established, allowing the layout generation to proceed with confidence that requirements will be met without needing to iterate through multiple designs, thus reducing computational energy waste.
3Productivity
If conventional CAD applications generate layouts without ensuring parameter satisfaction at each step, then layout generation can proceed, but layouts are produced that do not conform to requirements
Solution Approach 1:
The system applies local quality by ensuring that each spatial unit is placed according to its specific requirements within the grid framework. Each spatial unit has defined characteristics and requirements that are locally satisfied during placement. The grid-based approach allows for localized optimization of each spatial unit's position and orientation while maintaining overall layout coherence, ensuring both speed and precision.
Solution Approach 2:
The system uses parameter changes by defining placement parameters for each spatial unit (position, orientation, configuration) and systematically varying these parameters within the grid framework. This allows for direct generation of layouts that conform to requirements without needing to iterate, as the parameters are controlled and optimized in a single pass, achieving both productivity and manufacturing precision.
Data Source
AI summary
One or more embodiments disclose techniques for generating a layout for a physical space or a building. The techniques include generating a layout based on a floorplan of a physical space, generating a plurality of spatial unit grids corresponding to a plurality of spatial units to be placed in the physical space, identifying a placement for a first spatial unit grid in the plurality of spatial unit grids within the layout by matching a corner cell in the first spatial unit grid with a given available cell in the layout, generating a score associated with the placement for the first spatial unit grid based on one or more placement parameters that define placement constraints for a first spatial unit included in the plurality of spatial units and corresponding to the first spatial unit grid, and placing the first spatial unit grid in the layout based on the score.