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数字双胞胎:数据探索,架构,实施和未来的数据

Md Shezad Dihan1, Anwar Islam Akash1, Zinat Tasneem1

  • 1Department of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.

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概括

数字双胞胎 (DT) 创建物理实体的虚拟复制品,使双向数据流能够持续升级. 本研究提供了对各种数据技术应用中的数据分析的全面概述,突出了共同点和挑战.

关键词:
农业 农业 农业 农业数据分析数据分析数字双胞胎 数字双胞胎 数字双胞胎制造业 制造业 制造业 制造业医疗 医疗 医疗 医疗军方和航空部门.机器人技术 机器人技术 机器人技术城市化的城市化.

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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
  • 数据科学数据科学数据科学

背景情况:

  • 数字双胞胎 (DT) 是物理实体的虚拟表示,起源于NASA的阿波罗任务.
  • 它们的核心功能涉及双向数据流,以持续改进物理对应器.
  • 数据对DT系统至关重要,使虚拟模型创建,网络物理连接和智能操作成为可能.

研究的目的:

  • 为数字双胞胎系统中数据方面提供全面的概述.
  • 在不同领域对数据技术应用进行比较分析.
  • 识别不同部门的共同点和独特的数据特征.

主要方法:

  • 审查数字双胞胎数据分析现有文献.
  • 在不同应用领域比较数据结构和特征.
  • 分析DT数据分析当前的发展状况和挑战.

主要成果:

  • 数字双胞胎应用在制造业,城市规划,农业,医学,机器人技术和军事/航空领域.
  • 对比分析揭示了这些部门的共同点和独特的数据特征.
  • 确定了数字双胞胎数据分析当前的挑战和局限性.

结论:

  • 数据的组织,存储和链接对于有效的数字双胞胎实施至关重要.
  • 了解特定行业的数据细微差别对于优化DT性能至关重要.
  • 解决当前与数据相关的挑战是释放数字双胞胎未来潜力的关键.