基于深度学习模型的景观方案辅助工具设计
Design of Landscape Architecture Assistant Tool Based on Deep Learning Models
吴雯冰 1陈斌2
作者信息
- 1. 浙江大学农业与生物技术学院
- 2. 浙江大学农业与生物技术学院;汉嘉设计集团股份有限公司;生态景观规划设计研究院
- 折叠
摘要
为响应我国提出的建设数字中国的整体布局规划,将最新技术用于解决传统风景园林行业问题,提高工作效率和质量.文章从了解人工智能概念出发,分析该项技术在风景园林领域应用的现状.最后提出基于深度学习模型的景观方案辅助工具的设计思路,说明了开发要点和预期成果,令其通过生成式设计和智能评价两方面辅助风景园林设计师进行设计.
Abstract
In response to China's overall layout plan for building a digital China,the latest technology will be applied to solve problems in the traditional landscape industry,improve work efficiency and quality.Starting from understanding the concept of artificial intelligence,this paper analyzes the current situation of the application of this technology in the field of landscape architecture.The design concept of a landscape scheme assistance tool based on deep learning models is proposed,explaining the development points and expected results.In addition,it assists landscape designers in design through generative design and intelligent evaluation.
关键词
人工智能/深度学习/风景园林设计/数字景观Key words
artificial intelligence/deep learning/landscape architecture design/digital landscape引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据