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Aiming at the complex and changeable flight operation environment, a dynamic prediction model of flight chain delay based on digital twin is proposed to improve the accuracy and adaptability of the traditional prediction methods. The model is constructed based on the digital twin flight chain system. Through the model, the unit-level delay prediction is accomplished by the multi-channel feature modeling method under the sliding windows, and the parameter optimization is completed by a hybrid optimization strategy. Moreover, the whole chain’s delays are analyzed and corrected with the help of the twin data-driven strategy. Flight data in China are used to conduct the study. The mean absolute error (MAE) of flight delay prediction is 11.79 min, which is lower than those of other baseline models or static models, and the forecast error of subsequent flight delay can be reduced by 6.44% after twin data-driven analysis is implemented. The results show that the model is beneficial for the digital twin system to realize the virtual reality interaction, and has excellent prediction accuracy and adaptability. [ABSTRACT FROM AUTHOR]

Digital twin technology has the characteristic of virtual real fusion. The digital twin for intelligent factories can make the production process more transparent, and the production can be effectively guided with the real-time data in the workshop. In order to realize the visual control of production process based on the digital twin, a method of digital twin modeling for intelligent factories oriented to the production process is proposed. First, the framework of the digital twin system for intelligent factories is constructed. Second, the key technologies are elaborated, including the method of 3D geometric modeling based on the point cloud fitting, the method of object linking and embedding for process control unified architecture (OPC UA) information modeling for data interaction, multi-source heterogeneous data integration and fast matching of virtual-real mapping data. Finally, the digital twin system for an engine manufacturing workshop is realized. This demonstrates the correctness and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]