摘要
针对高密集发射、快速迭代、智能化升级的航天器测试任务,以及重实物、瀑布式、人工判读为主的传统航天器综合测试模式已难以满足高可靠、高效率、低成本的要求,提出应用数实融合(数字与物理实体融合)技术的航天器智能测试验证方法。该智能测试验证方法总体设计聚焦数实融合验证和人工智能(AI)赋能两大关键内涵。以数实同构、时空同步、数据同态为原则构建数实融合验证环境,实现测试前移;利用大模型、强化学习、知识图谱等AI技术,打造测试设计-执行-判读-优化的全生命周期智能闭环。应用数实融合技术的综合测试,突破复杂航天器设计仿真测试一体化技术、数实融合验证技术、智能测试技术等关键技术,构建出数实映射、动态迭代、智能决策的航天器综合测试新范式,可实现航天器测试验证从经验驱动转向数据智能驱动,促进综合测试能力提升。
In response to the challenges posed by high-density launch missions,rapid iterations,and intelligent upgrades in spacecraft test tasks,as well as the limitations of traditional spacecraft comprehensive test methods-characterized by physical test,waterfall models,and manual interpretation-in meeting the requirements for high reliability,high efficiency,and cost-effectiveness,an intelligent test and verification method is proposed for spacecraft using digital-physical fusion technology.Specifically,the overall design of the intelligent test and verification method focuses on two key aspects:digital-physical fusion verification and artificial intelligence(AI)empowerment.By adhering to the principles of digital-physical consistency,temporal-spatial synchronization,and data homomorphism,a digital-physical fusion verification environment is established to achieve test frontloading.Leveraging advanced AI technologies such as large models,reinforcement learning,and knowledge graphs,the method constructs a full-lifecycle intelligent closed loop spanning test design,execution,interpretation,and optimization.Comprehensive test by using the digital-physical fusion technology has broken through key technologies such as integra￣ted design,simulation and test for complex spacecraft,digital-physical fusion verification technology,and intelligent test technology.By establishing a new paradigm for comprehensive test of spacecraft characterized by digital-physical mapping,dynamic iteration,and intelligent decision-making,this method enables the transition of spacecraft test and verification from experience-driven to data-intelligence-driven processes,thereby enhancing comprehensive test capabilities.
作者
刘鹤
王倚文
韩小军
刘一帆
宋宏江
LIU He;WANG Yiwen;HAN Xiaojun;LIU Yifan;SONG Hongjiang(Beijing Institute of Spacecraft System Engineering,Beijing 100094,China)
出处
《航天器工程》
北大核心
2025年第6期23-30,共8页
Spacecraft Engineering
关键词
航天器
数实融合
综合测试
智能测试
spacecraft
digital-physical fusion
integrated test
intelligent test
