首页|深度学习与特征参数结合的人工智能辅助传统村落保护规划探索

深度学习与特征参数结合的人工智能辅助传统村落保护规划探索

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随着以深度学习为代表的新一代人工智能技术的重大进展,利用人工智能辅助城乡规划设计已成为规划设计行业的关注热点和研究前沿.本文聚焦人工智能辅助传统村落保护规划编制,将深度学习技术在特征识别和快速生成方面的优势,与参数化设计方法在参与性、可控性、可解释性等方面的优势相结合,探索构建以"数据收集-模型训练-互动设计"为框架的人工智能辅助传统村落保护规划方法,并从传统村落三级保护区划定、空间风貌保护与传承、建筑风貌延续等三个方面阐释了智能规划技术在传统村落保护中的应用路径,为传统村落保护规划编制的智能化升级提供新思路.
Exploration of Artificial Intelligence Assisted Traditional Village Protection Planning with the Combination of Deep Learning and Feature Parameters
With the significant progress of the new generation of artificial intelligence technology represented by deep learning,utilizing artificial intelligence to assist urban and rural planning and design has become a hot topic and research frontier in the planning and design industry.This article focuses on the artificial intelligence assisted traditional village protection planning,combining the advantages of deep learning technology in feature recognition and rapid generation with the advantages of parameterized design methods in terms of participation,controllability,and interpretability.It explores the construction of an artificial intelligence assisted traditional village protection planning method based on the framework of data collection,model training,interactive design.This article explains the application path of intelligent planning technology in the protection of traditional villages from three aspects:delineation of three-level protection areas for traditional villages,protection and inheritance of spatial style,and continuation of architectural style,providing new ideas for the intelligent upgrading of traditional village protection planning.

Deep LearningCharacteristic ParametersArtificial IntelligenceTraditional VillagesProtection Planning

范勇、李玄、肖文杰

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济南大学土木建筑学院

深度学习 特征参数 人工智能 传统村落 保护规划

教育部人文社会科学研究项目山东省自然科学基金面上项目

21YJCZH024ZR2021ME226

2024

中国建设信息化

中国建设信息化

ISSN:
年,卷(期):2024.(5)
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