刘亚东, 陈思, 丛子涵, 姜骞, 严英杰, 江秀臣. 电力装备行业数字孪生关键技术与应用展望[J]. 高电压技术, 2021, 47(5): 1539-1554. DOI: 10.13336/j.1003-6520.hve.20210194
引用本文: 刘亚东, 陈思, 丛子涵, 姜骞, 严英杰, 江秀臣. 电力装备行业数字孪生关键技术与应用展望[J]. 高电压技术, 2021, 47(5): 1539-1554. DOI: 10.13336/j.1003-6520.hve.20210194
LIU Yadong, CHEN Si, CONG Zihan, JIANG Qian, YAN Yingjie, JIANG Xiuchen. Key Technology and Application Prospect of Digital Twin in Power Equipment Industry[J]. High Voltage Engineering, 2021, 47(5): 1539-1554. DOI: 10.13336/j.1003-6520.hve.20210194
Citation: LIU Yadong, CHEN Si, CONG Zihan, JIANG Qian, YAN Yingjie, JIANG Xiuchen. Key Technology and Application Prospect of Digital Twin in Power Equipment Industry[J]. High Voltage Engineering, 2021, 47(5): 1539-1554. DOI: 10.13336/j.1003-6520.hve.20210194

电力装备行业数字孪生关键技术与应用展望

Key Technology and Application Prospect of Digital Twin in Power Equipment Industry

  • 摘要: 数字孪生技术是电力装备行业数字化转型的关键技术。为此分析了电力装备行业数字化转型的研究现状,并提出了电力装备数字孪生通用架构。结合行业的发展情况指出与仿真建模方面相关的四大关键技术:统一信息建模技术、多层级仿真建模技术、多物理场多参数反演技术及复杂多维信息合成与可视分析技术。根据产业链不同环节的特点描述了数字孪生技术在智能设计、智能制造、供应链动态管理及运维管理等方面的典型应用场景,并分析了现阶段研究不足与未来研究重点。最后展望了数字孪生技术应用后为行业带来的变革,为电力装备行业的数字化转型提供了借鉴和参考。

     

    Abstract: Digital twin is the key technology of digitalization transformation in power equipment industry. In this paper, a general digital twin architecture of power equipment is proposed after analyzing current research status. Based on industrial development, four important technologies in simulation and modeling are defined, such as unified information modeling, multi-level simulation modeling, multi-parameter multi-physics inversion, and multi-dimensional complex information synthesis and visualization analysis. In addition, typical applications, current deficiencies, and future focus of this technology, in the aspect of intelligent design and manufacturing, dynamic management of supply chain, and operation and maintenance, are also discussed. Moreover, the prospects in the changes of the relevant industries brought by digital twin technology are presented, which can serve as a good reference for digitalization transformation of power equipment industry.

     

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