Paper
15 March 2024 Based on artificial intelligence and digital space technology, research on environmental landscape design of Jinghe art and culture centre
Yan Chen, Zhi Zhang, Xingchen Lai
Author Affiliations +
Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130750L (2024) https://doi.org/10.1117/12.3026675
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China
Abstract
Taking the environmental landscape design of Jinghe Art and Culture Center as an object, this study explores innovative design methods and strategies by combining artificial intelligence and digital space technology. Through an in-depth analysis of the site characteristics and functional needs of the art and culture center, this study proposes a landscape design method based on artificial intelligence to provide a scientific basis for landscape design. At the same time, the study also explores the application of digital space technology in landscape design, including virtual reality technology and augmented reality technology, which can help designers and users to feel the design scheme more intuitively, thus improving the quality of design and user participation. This study combines artificial intelligence and digital space technology with environmental landscape design to provide new ideas and methods for the innovative design of Jinghe Art and Culture Center. Through scientific analysis and technical means, it can better satisfy people's needs for art and cultural experience and add unique charm and vitality to urban development.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yan Chen, Zhi Zhang, and Xingchen Lai "Based on artificial intelligence and digital space technology, research on environmental landscape design of Jinghe art and culture centre", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130750L (15 March 2024); https://doi.org/10.1117/12.3026675
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KEYWORDS
Design

Artificial intelligence

Aerospace engineering

Cultural studies

Evolutionary algorithms

Climatology

3D modeling

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