基于数字孪生的复杂产品离散装配车间动态调度

The discrete assembly workshop of complex products for multi-variety variable batch production is a typical complex manufacturing system. Its operation process presents the characteristics of high complexity, strong dynamics and many uncertain factors. To realize the dynamic scheduling of the discrete assembly workshop of complex products, a digital twin-based dynamic scheduling method for discrete assembly workshops of complex products was proposed, which realized more precise dynamic scheduling through data interaction between physical space and virtual space. A framework and a scheduling problem model for the discrete assembly workshop of complex products based on digital twins were constructed. On this basis, the online prediction of man-hours based on real-time data and neural networks, and the dynamic scheduling of digital twin workshops for discrete assembly of aerospace products were elaborated. The key technology was realized, and finally a complex product discrete assembly shop scheduling system was built. The scheduling process of an aerospace product assembly shop was taken as an example to illustrate the effectiveness and feasibility of the proposed method.