智能装配质量是复杂产品在装配过程中面临的一个重要问题,需要研究面向人机交互的复杂产品数字孪生装配模型以提升产品装配质量。在保证复杂产品装配模型安全和有效控制数据风险的前提下,设计的数字孪生系统依据物理产品装配各种数字化装配数据,构建数字孪生装配模型,并基于数字孪生AR技术生成复杂产品多视图动态,展示产品装配情况。提出基于Copula函数的装配过程质量优化方法,优化复杂产品装配质量。测试结果显示:所设计的模型能够完成复杂产品装配的AR多视图动态生成,评分结果均在0.90以上,具备良好的人机交互效果;能够实现船舶产品装配的实时管控,质量控制稳定性值均低于0.45。

The quality of intelligent assembly of complex products is an important problem in their assembly. It is necessary to study the designed digital twin assembly model of complex products for humancomputer interaction to improve the assembly quality of products. On the premise of ensuring the safety of complex product assembly models and effective controlling of data risks, the designed digital twin system assembles various digital assembly data based on physical product, builts a digital twin assembly model, and generates multiview dynamic of complex products based on digital twin AR technology to display product assembly. The assembly process quality optimization method based on Copula function is proposed to optimize the assembly quality of complex products. The test results show that the designed model can complete the AR multiview dynamic generation of complex product assembly, and the scoring results are above 0.90, which has a good humancomputer interaction effect. It can realize realtime management and control of ship product assembly, and the stability value of quality control is lower than 0.45.