Regulatory Plot Multi-Plan Generation With AI Feedback Control
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Solution Overview
Problem
Existing AI-assisted urban design methods face challenges in generating efficient and accurate urban design plans for regulatory plots due to uncontrollable intelligent generation and inapplicability to hybrid function districts, leading to excessive invalid plans and high manual workload.
Innovation Solution
An AI-based urban design multi-plan generation method involving modules for plot space calculation, regulatory characteristic input, characteristic case learning, plot road and landscape generation, and architecture generation, utilizing modules like UAV data collection, decision trees, evolutionary algorithms, and CVAE-GAN algorithms to create optimized plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing AI-assisted urban design methods are used for generating urban design plans, then the generation speed is improved, but the controllability of intelligent generation deteriorates leading to excessive invalid plans
Solution Approach 1:
The patent transforms regulatory requirements into quantifiable parameters (building height limits, density ratios, green space percentages, etc.) that can be directly integrated into the AI generation process. This parameter transformation enables the system to generate plans that automatically satisfy regulatory constraints while maintaining high generation speed, resolving the contradiction between productivity and reliability.
Solution Approach 2:
The patent implements a feedback mechanism where generated plans are automatically evaluated against regulatory requirements, and the AI system adjusts subsequent generations based on this feedback. This closed-loop approach ensures that invalid plans are progressively reduced while maintaining efficient generation speeds, addressing both controllability and productivity concerns.
2Adaptability or versatility
If existing AI-assisted urban design methods are applied to hybrid function districts, then the method's versatility is improved, but the inapplicability to complex functional areas worsens
Solution Approach 1:
The patent applies different regulatory parameter sets and generation strategies tailored to specific functional zones within hybrid districts. Each zone (residential, commercial, industrial, mixed-use) receives customized generation parameters reflecting its specific requirements, enabling the system to handle functional complexity while maintaining versatility across different district types.
3Productivity
If existing AI-assisted urban design methods generate plans without regulatory integration, then the generation efficiency is improved, but the manual workload for regulatory compliance worsens
Solution Approach 1:
The patent performs preliminary integration of regulatory requirements into the AI generation process itself, rather than applying regulations as a post-processing step. By embedding regulatory constraints directly into the generation algorithm, the system produces compliant plans directly, eliminating the need for subsequent manual regulatory adjustments and maximizing generation efficiency.
Data Source
AI summary
The present invention discloses an artificial intelligence (AI)-based urban design multi-plan generation method for a regulatory plot. The method includes operation steps performed by the following modules: (1) plot space calculation sand table module; (2) regulatory characteristic parameter input module; (3) characteristic case intelligent learning module; (4) plot road intelligent generation module; (5) plot landscape intelligent generation module; (6) plot architecture intelligent generation module; and (7) outputted plan auxiliary drawing module. By means of the AI-based urban design multi-plan generation method for a regulatory plot of the present invention, the planners realize real-time, accurate, and efficient feedback adjustment to a plurality of urban design plans under regulatory conditions, resolving a plurality of problems such as a long working period of a conventional design plan.