数字双胞胎智能城市可视化与基于MoE的个人热舒适度分析
Hoang-Khanh Lam1, Phuoc-Dat Lam1, Soo-Yol Ok1
1Department of Computer Engineering, Dong-A University, Busan 49315, Republic of Korea.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
数字双胞胎技术和人工智能分析为可持续城市规划创建虚拟城市模型. 这项研究可视化了韩国的一个智能区域,通过个人热舒适度分析来优化能源使用.
科学领域:
- 城市规划和可持续发展
- 人工智能 (AI) 和数字双胞胎技术
- 地理空间数据可视化可视化
背景情况:
- 城市化日益加剧,需要制定可持续发展战略.
- 数字双胞胎技术为复杂系统提供实时模拟.
- 人工智能驱动的分析增强了数字双胞胎在城市管理方面的能力.
研究的目的:
- 开发一个数字双胞胎应用程序来可视化一个智能城市区域.
- 实施深度学习用于个人热舒适度分析.
- 为智慧城市应用开发提供路线图.
主要方法:
- 使用Cesium for Unreal进行3D地理空间数据集成.
- 使用DataSmith将3D数据转换为虚幻引擎格式.
- 在数字双胞胎框架内集成用于热舒适度分析的深度学习模型.
主要成果:
- 在韩国使用数字双胞胎技术成功可视化了一个智能区域.
- 个人热舒适度分析的演示,以了解节能潜力.
- 建立一个智能城市应用程序开发框架.
结论:
- 数字双胞胎技术与人工智能相结合,对未来的城市环境至关重要.
- 开发的应用程序有助于管理和节省建筑物和家庭的能源消耗.
- 这项研究为未来城市规划和管理方面的创新奠定了基础.
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