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IJMERR 2022 Vol.11(4): 227-233

Research on Digital Twin Modeling Method of Electrical Equipment Spraying Production Line Based on Kalman Filter

Ke-Xin Yang, Zhi-Wen Xia, Yi-Fei Wang, and Li-Jun Jin
College of Electric and Information Engineering, Tongji University, Shanghai, China

Abstract—Digital twins can promote the upgrade of enterprise products through predictive analysis of production lines, operation optimization and intelligent regulation. Based on an improved adaptive filter algorithm, this paper introduces filter convergence criteria on the basis of Sage-Husa filter, which can suppress filter divergence, improve filter accuracy and stability, and propose a digital twin modeling of electrical equipment spraying production line Methods, a unified logical structure of the intelligent spraying production line is constructed, and its twin model is uniformly described, and the digital expression of the physical production line, the acquisition of characteristic data, and the fusion processing analysis are realized. Finally, the application scenarios and actual cases of the digital twin model of the intelligent production line are analyzed, which provides a solution for the realization of the digital twin of the enterprise production line.

Index Terms—digital twin, production process, twin model, model architecture, Sage Husa algorithm

Cite: Ke-Xin Yang, Zhi-Wen Xia, Yi-Fei Wang, and Li-Jun Jin, "Research on Digital Twin Modeling Method of Electrical Equipment Spraying Production Line Based on Kalman Filter," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 4, pp. 227-233, April 2022. DOI: 10.18178/ijmerr.11.4.227-233

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