While Model-Based Systems Engineering (MBSE) improves the ambiguity problem of the conventional document-based way, it brings management complexity. Faced with the complexity, one of the core issues that companies care about is how to effectively evaluate, predict, and manage it in the early system design stage. The inaccuracy of contemporary complexity measurement approaches still exits due to the inconsistency between the actual design process in physical space and the theoretical simulation in virtual space. Digital Twin (DT) provides a promising way to alleviate the problem by bridging the physical space and virtual space. Aiming to integrate DT with MBSE for the system design complexity analysis and prediction, based on previous work, an integration framework named System Design Digital Twin in 5 Dimensions was introduced from a knowledge perspective. The framework provides services for design complexity measurement, effort estimation, and change propagation prediction. Then, to represent the system design digital twin in a unified way, a modeling profile is constructed through SysML stereotypes. The modeling profile includes System design digital model in virtual space profile, system services profile, relationships profile and digital twin data profile. Finally, the system design of a cube-satellite space mission demonstrates the proposed unfiled modeling approach.

尽管基于模型的系统工程（MBSE）改善了常规基于文档的方式的歧义性问题，但它带来了管理复杂性。面对复杂性，公司关心的核心问题之一是如何在系统设计的早期阶段有效地评估，预测和管理它。由于物理空间中的实际设计过程与虚拟空间中的理论模拟之间的不一致，现代复杂性度量方法的准确性仍然存在。Digital Twin（DT）通过桥接物理空间和虚拟空间提供了一种缓解该问题的有前途的方法。基于先前的工作，旨在将DT与MBSE集成在一起，以进行系统设计复杂性分析和预测，从知识的角度介绍了一个名为5维系统设计数字孪生的集成框架。该框架提供用于设计复杂性测量，工作量估计和更改传播预测的服务。然后，为了以统一的方式表示系统设计数字孪生，通过SysML构造型构造了一个建模配置文件。建模配置文件包括虚拟空间配置文件，系统服务配置文件，关系配置文件和数字孪生数据配置文件中的系统设计数字模型。最后，立方体卫星太空飞行任务的系统设计演示了拟议的无模型化建模方法。通过SysML原型构造建模配置文件。建模配置文件包括虚拟空间配置文件，系统服务配置文件，关系配置文件和数字孪生数据配置文件中的系统设计数字模型。最后，立方体卫星太空飞行任务的系统设计演示了拟议的无模型化建模方法。通过SysML原型构造建模配置文件。建模配置文件包括虚拟空间配置文件，系统服务配置文件，关系配置文件和数字孪生数据配置文件中的系统设计数字模型。最后，立方体卫星太空飞行任务的系统设计演示了拟议的无模型化建模方法。