AI 中文总结
本文提出跨域数字孪生，通过对齐共享状态等连接异构域孪生，给出七层概念架构等，阐述了验证评估标准等内容，其形式合规性和操作有效性有待通过多种测试检验。
AI 中文摘要
复杂系统包含异构域，其状态、不确定性、风险和控制后果可跨域边界。现有跨域数字孪生方法主要关注比较、重用、语义映射、标准化和互操作性，但并非内在要求域状态、错误、目标、约束、决策和控制之间的操作连接。本文提出跨域数字孪生作为复合/联邦数字孪生系统连续体的一种操作形式。该方法通过对齐的共享状态、数据、模型、状态、错误、目标和控制的显式耦合、异构时间协调、联合决策和基于反馈的自适应来连接异构域孪生。所提出的框架呈现了七层概念架构、跨域编排核心、最低合规条件、通用操作形式、渐进式快-中-慢循环以及与有界在线自适应相关的单episode离线训练机制。它还描述了概念验证和评估标准、成熟度模型、参考部署架构以及运行时安全、溯源、版本控制和模型生命周期管理的要求。该框架在概念上可映射到数字孪生、模型交换、分布式仿真和智能传感器的标准；然而，其形式合规性和操作有效性必须通过独立基准测试、不确定性量化、消融测试和现场验证来检验。
英文摘要
Complex systems comprise heterogeneous domains whose states, uncertainties, risks, and control consequences can cross domain boundaries. Existing cross-domain digital twin approaches broadly focus on comparison, reuse, semantic mapping, standardization, and interoperability, but do not inherently require operational connections among domain states, errors, objectives, constraints, decisions, and controls. This article proposes the trans-domain digital twin as an operational formulation along the continuum of Composite/Federated Digital Twin Systems. This approach connects heterogeneous domain twins through an aligned shared state, explicit coupling of data, models, states, errors, objectives, and controls, heterogeneous temporal coordination, joint decision-making, and feedback-based adaptation. The proposed framework presents a seven-layer conceptual architecture, a trans-domain orchestration core, minimum compliance conditions, a general operational formalism, progressive fast-meso-slow loops, and a single-episode offline training mechanism linked to bounded online adaptation. It also describes conceptual validation and evaluation criteria, a maturity model, a reference deployment architecture, and requirements for runtime safety, provenance, versioning, and model lifecycle management. The framework is conceptually mappable to standards for digital twins, model exchange, distributed simulation, and smart transducers; however, its formal compliance and operational effectiveness must be examined through independent benchmarks, uncertainty quantification, ablation testing, and field validation.
Comments33 pages, 20 figures
