导航数字双胞胎研究的演变通过关键字共发生网络分析网络分析
Wei Li1, Haozhou Zhou1, Zhenyuan Lu1
1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
数字双胞胎研究正在迅速多样化,专注于预测功能和实时数据集成. 这一进化突出了先进的传感技术和分布式计算,用于增强的系统建模.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
- 信息科学 信息科学 信息科学
背景情况:
- 数字双胞胎技术正在在制造业,能源和医疗保健领域彻底改变数据集成和系统建模.
- 该技术使复杂的系统表示和分析成为可能.
研究的目的:
- 探索数字双胞胎不断变化的研究领域.
- 使用关键词共发生网络 (KCN) 分析分析趋势,关键词互连和应用领域.
主要方法:
- 从9639篇同行评审文章 (2000-2023) 中分析元数据.
- 关键词共发生网络 (KCN) 分析,绘制趋势和相互连接.
- 将传感技术关键词映射到六个应用领域.
主要成果:
- 数字双胞胎研究显示,随着预测和决策功能等新兴主题的迅速多样化.
- 强调实时数据,点云技术,联合学习和边缘计算,以实现分布式计算和数据隐私.
- 确定重点主题,并整合先进的传感技术.
结论:
- 数字双胞胎已经发展成为能够通过先进传感进行预测操作的复杂系统.
- 在传感器选择和经验知识集成方面仍然存在挑战.
- 这项研究证实了数字双胞胎研究日益重要和多样化.
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