Research on power grid digital twin data embedding technology based on semantic matching

Mingchao Yong; Hanyong Hao; Jinkui Huang; Wenliang Liu; Guanghui Lu; Weijie Wang; Qingshan Wang; Xing Duo He; Yang Liu

doi:10.1117/12.2640469

19 October 2022 Research on power grid digital twin data embedding technology based on semantic matching

Mingchao Yong, Hanyong Hao, Jinkui Huang, Wenliang Liu, Guanghui Lu, Weijie Wang, Qingshan Wang, Xing Duo He, Yang Liu

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122944Z (2022) https://doi.org/10.1117/12.2640469
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

At present, there are great differences in the types and methods of sensing devices supporting the power grid digital twin to realize full sensing. Only relying on the point-to-point setting method to realize a large amount of interactive information between the sensor and the digital twin virtual body cannot meet the application requirements. In order to solve the above problems, a power grid digital twin data embedding method is provided. The perception information is sent to the corresponding digital twin according to the matching degree between the digital twin scene semantic attribute and the perception device scene semantic attribute, so that the corresponding digital twin can embed the perception data in the perception information into the data set corresponding to the relevant service function. It can realize the flexible adaptive mapping between the perceived information and the digital twin, ensure the automatic matching and access of various sensing devices, improve the adaptability between the perceived information and the digital twin, avoid the problem of insufficient interaction ability of virtual and real mapping caused by manual point-to-point setting, and effectively promote the development of various power application services based on the power grid digital twin

Citation Download Citation

Mingchao Yong, Hanyong Hao, Jinkui Huang, Wenliang Liu, Guanghui Lu, Weijie Wang, Qingshan Wang, Xing Duo He, and Yang Liu "Research on power grid digital twin data embedding technology based on semantic matching", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122944Z (19 October 2022); https://doi.org/10.1117/12.2640469

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KEYWORDS

Associative arrays

Inspection equipment

Environmental monitoring

Inspection

Sensors

Transformers

3D displays

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