Automated Building Layout Generation Under Code and Footprint Constraints
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Solution Overview
Problem
The current construction design process is labor-intensive, inefficient, and prone to errors, leading to delays, increased costs, and material waste, with manual trial and error techniques being used for architectural and engineering design, resulting in suboptimal project outcomes.
Innovation Solution
A computer-implemented system utilizing CS algorithms and neural networks to automate architectural and engineering design, generating multiple permutations and optimizing designs based on project objectives, incorporating regulatory requirements and building codes, and integrating trades to minimize errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual trial and error design process is used by architects and engineers, then design flexibility and human judgment are maintained, but design time and cost increase significantly and productivity decreases
Solution Approach 1:
The patent replaces the manual mechanical design process with an automated computer-based system that uses algorithms and machine learning models to generate and evaluate design options, eliminating the need for manual trial and error while maintaining design quality
Solution Approach 2:
The system enables self-service design generation where the computer automatically creates multiple design permutations, evaluates them against constraints and objectives, and produces optimized designs without requiring continuous human intervention at each design iteration
2Adaptability or versatility
If manual design process is used with trial and error techniques, then human creativity and judgment are applied, but coordination errors increase and reliability decreases
Solution Approach 1:
The system incorporates feedback loops where design options are automatically evaluated against multiple constraints and objectives, with results fed back into the generation process to continuously improve and refine designs, ensuring coordination accuracy across all building trades
Solution Approach 2:
The system performs preliminary evaluation of multiple design permutations before final selection, checking for coordination errors and compliance with constraints in advance, thereby preventing errors that would otherwise occur during manual coordination review
3Productivity
If automated design system using CS algorithms and neural networks is implemented, then design productivity and efficiency increase, but device complexity and initial cost increase
Solution Approach 1:
The automated design system is built to perform multiple design functions across different building types and scales using the same core algorithms and machine learning models, making the complex system universally applicable and justifying its complexity through multi-functionality
4Adaptability or versatility
If manual unit boundary splitting and component placement is done by architects, then design control and customization are maintained, but loss of time and design iteration cycles increase
Solution Approach 1:
The system dynamically adjusts unit boundaries and component placements based on optimization objectives and constraints, automatically iterating through multiple configurations to find optimal solutions without requiring manual redesign cycles
Data Source
AI summary
Disclosed embodiments perform automated design for buildings or portions of buildings and machine-generate architectural design and floor plans. Computer-implemented systems and methods of designing multi-unit buildings and portions of buildings include a set of one or more input requirements, a relationships module, an options placement system, a layout predictor system, and a design plan generator. The input requirements include one or more pre-defined footprints and may include local regulatory requirements such as building code, zoning, accessibility, among others. The design plan generator generates an architectural design plan for the building or portion of a building that can be built on the one or more pre-defined footprints. Disclosed systems and methods substantially reduce the design time and cost while increasing the profitability, sustainability and efficiency of construction projects.