缺失维度：将人类与社会系统整合到数字孪生工程中
Missing Dimensions: Integrating Human and Social Systems into Digital Twin Engineering
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中文总结 AI 辅助
本文提出数字孪生工程应明确纳入工程、自然/生物、人类和社会四个维度，并强调在人类与社会维度中从自动化控制转向决策支持与赋权，以智能建筑为例指出多维工程面临的四项开放挑战。
中文摘要 AI 辅助
数字孪生（DTs）已成为数字化转型核心的关键技术，然而其工程实践仍过于狭窄地聚焦于工程系统和自然系统。本文主张，在数字孪生工程中必须明确识别四个系统维度：工程、自然/生物、人类和社会。每个维度都带来独特的属性、建模要求和伦理义务，这些从根本上决定了数字孪生必须表示什么以及如何构建。我们进一步论证，随着数字孪生扩展到人类和社会维度，重点应从自动化控制转向决策支持和居住者赋权。我们使用智能建筑作为运行示例来说明我们的论点，并确定了多维数字孪生工程的四个开放研究挑战。
英文摘要
Digital twins (DTs) have emerged as a key technology at the core of digital transformation, yet their engineering practice remains too narrowly focused on engineered and natural systems. This paper argues that four system dimensions must be explicitly recognized in DT engineering: Engineered, Natural/Biological, Human, and Social. Each dimension brings distinct properties, modeling requirements, and ethical obligations that fundamentally shape what a DT must represent and how it must be built. We further argue that as DTs extend into the Human and Social dimensions, the emphasis should shift from automated control toward decision support and occupant empowerment. We illustrate our arguments using a smart building as a running example and identify four open research challenges for multi-dimensional DT engineering.
发表机构
- ÉTS | École de technologie supérieure（高等电力技术学院）
- Eindhoven University of Technology（埃因霍温理工大学）
机构由 AI 辅助整理，请以论文原文为准。
