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人工智能在环境景观设计中的3D动态景观模拟

3D dynamic landscape simulation of artificial intelligence in environmental landscape design.

作者信息

Shi Binbin

机构信息

School of Art and Design, Henan University of Engineering, Zhengzhou, 451191, Henan, China.

出版信息

Heliyon. 2024 Jul 26;10(15):e35268. doi: 10.1016/j.heliyon.2024.e35268. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e35268
PMID:39170183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11336465/
Abstract

Three-dimensional (3D) simulations and precise landscape visualizations are crucial for various applications, like landscape management and planning, computer and connection of the landscape, evaluation, and tracking of land use. The consequences of several plans and a large scene cannot be communicated using older methods of comprehensive environmental planning and development in a timely, rational, and coordinated manner. Architects have trouble incorporating ideas into other comprehensive planning implementation processes. Architects did not thoroughly investigate the neighbourhood's demographics and matching behavioural needs and lacked critical thinking. The 3D dynamic landscape simulation is a detailed computerized three-dimensional simulation of the environment that can be dynamically presented. With the aid of Artificial Intelligence (AI) technology, the system possesses a strong sense of reality, a user-friendly interface, and interactive features that can be tailored to the requirements of the contemporary urban environmental landscape. Regarding exterior publicity, domestic assistance, environmental land use planning, and information systems. The novelty of the proposed Interactive Design System based on AI (IDS-AI) is to create a 3D dynamic landscape model based on a real-life environmental scene, utilizing a Geographic Information System (GIS) to optimize landscape vision. Secondly, 3D environmental landscape design simulation was implemented using GIS spatial analysis in conjunction with the Fuzzy Analytical Hierarchical Process (FAHP) to reduce the data overlap rate and help make an accurate decision. Finally, the design incorporates the development of the interactive interface system application of landscape design and environmental resources for viewing the landscape, the factors that affect them, and the area coverage ratio of various land cover types. The experimental outcomes show that the suggested IDS model increases the gradient sensitivity level of 98.3 % and area coverage ratio of 93.4 % compared to other existing models.

摘要

三维(3D)模拟和精确的景观可视化对于各种应用至关重要,如景观管理与规划、景观的计算机化与连接、土地利用评估及跟踪。采用传统的综合环境规划与开发方法,无法及时、合理且协调地传达多个规划及大场景的结果。建筑师在将想法融入其他综合规划实施过程中存在困难。他们没有深入研究邻里的人口统计数据及匹配的行为需求,缺乏批判性思维。3D动态景观模拟是一种可动态呈现的详细的环境计算机三维模拟。借助人工智能(AI)技术,该系统具有强烈的真实感、用户友好的界面以及可根据当代城市环境景观需求定制的交互功能。涉及外部宣传、国内援助、环境土地利用规划及信息系统。所提出的基于人工智能的交互式设计系统(IDS-AI)的新颖之处在于,利用地理信息系统(GIS)基于现实生活环境场景创建3D动态景观模型,以优化景观视觉。其次,结合模糊层次分析法(FAHP)利用GIS空间分析实施3D环境景观设计模拟,以降低数据重叠率并助力做出准确决策。最后,该设计纳入了景观设计和环境资源交互式界面系统应用的开发,用于查看景观、影响景观的因素以及各种土地覆盖类型的面积覆盖率。实验结果表明,与其他现有模型相比,所提出的IDS模型将梯度敏感度水平提高了98.3%,面积覆盖率提高了93.4%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/cc9fe5cb78f3/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/9a2af3d8f58a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/7521e66e3cbc/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/d87ea00ca1a7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/6bd86babad2a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/2c3d423b3e51/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/4f243450a81d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/cc9fe5cb78f3/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/9a2af3d8f58a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/7521e66e3cbc/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/d87ea00ca1a7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/6bd86babad2a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/2c3d423b3e51/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/4f243450a81d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc86/11336465/cc9fe5cb78f3/gr7.jpg

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本文引用的文献

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Prospective Cohort Study of Haptic Virtual Reality Laparoscopic Appendicectomy Learning Curve Trajectory.触觉虚拟现实腹腔镜阑尾切除术学习曲线轨迹的前瞻性队列研究
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