航天医学与医学工程

针对复杂产品研制过程中数字模型管理复杂、模型互联互通难度大等问题，本文提出了一种基于智能云架构的基于模型的系统工程（MBSE）模型微服务聚合与自适应集成方法。通过引入本体语义标注与哈希编码机制，实现异构建模工具下模型资源的统一封装与服务化管理。结合模型虚拟执行模式与动态资源组织技术，设计了云平台下面向任务的模型微服务部署架构，提升了模型服务的调度效率与资源利用率。基于服务类群的模型聚合方法，采用汉明距计算模型间能力匹配度，优化模型发现与编排流程。本文在国产化私有云环境中完成了原型实现与多阶段实验验证，结果表明，所提方法能有效支撑复杂产品全生命周期数字化研制，提升模型资源共享性与系统集成效率。

To address the challenges of complex digital model management and difficulties in model interoperability during the development of sophisticated products,this paper proposes an intelligent cloud architecture-based method for MBSE(model-based systems engineering) model microservice aggregation and adaptive integration.By introducing ontology semantic annotation and hash encoding mechanisms,we achieve unified encapsulation and service-oriented management of heterogeneous modeling tool resources.Combined with model virtual execution modes and dynamic resource orchestration technology,we design a task-oriented of Model-Based Microservice Deployment Framework,significantly improving model service scheduling efficiency and resource utilization.Leveraging a service-cluster-based model aggregation approach,we employ Hamming distance to calculate model capability compatibility,optimizing model discovery and orchestration processes.The prototype implementation and multi-phase experimental validation conducted in a domestic private cloud environment demonstrate that the proposed method effectively supports digital development across the entire lifecycle of aerospace products,enhancing model resource sharing and system integration efficiency.