Component quality management system based on digital twin

JiaQi Zhang; HaiMing Zhang; XiaoMing Fan; Jiang Li; ChengZhi Jiang; HanTian Gu; BoHan Li; Hao Hu; ChengXi Liu

doi:10.1117/12.2668148

20 April 2023 Component quality management system based on digital twin

JiaQi Zhang, HaiMing Zhang, XiaoMing Fan, Jiang Li, ChengZhi Jiang, HanTian Gu, BoHan Li, Hao Hu, ChengXi Liu

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126021U (2023) https://doi.org/10.1117/12.2668148
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Digital twin is a key technology for realizing the mapping of digital model from physical system to information space. This paper studies the application of digital twin in component quality management, and proposes a digital twin system dedicated to component quality management. Model the appearance of components, state information management, fault prediction and detection, and space-time synchronization detection. Among them, the general system model library stores the appearance model, mechanism model and mathematical model of the components, and uses the relational database to access the data. By determining the nominal area and inputting the benchmark clustering, on this basis, the Fisher's quasi-measurement is used to calculate the abnormal probability, and the abnormal probability is used to realize the prediction of the failure of the components and equipment.

Citation Download Citation

JiaQi Zhang, HaiMing Zhang, XiaoMing Fan, Jiang Li, ChengZhi Jiang, HanTian Gu, BoHan Li, Hao Hu, and ChengXi Liu "Component quality management system based on digital twin", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126021U (20 April 2023); https://doi.org/10.1117/12.2668148

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