Research on data governance methods for hydroelectric equipment operation and maintenance based on digital twins

doi:10.12267/j.issn.2096-5931.2025.10.010

Abstract

Abstract:

This paper proposes a data governance method for hydroelectric equipment operation and maintenance based on digital twins. The method utilizes Asset Administration Shell (AAS) technology to define the digital twin metamodel of the equipment. Relying on the metamodel and the proposed full-domain data space method, it presents a dynamic construction method for the digital twin of hydroelectric equipment. It enables efficient governance of the entire lifecycle data, functional behavior models, and relationships of the equipment. A case study demonstrates the application of the proposed method in hydroelectric equipment operation and maintenance, proving that it can improve operation efficiency, reduce failure rates, and provide data support for decision-making.

Key words: hydroelectric equipment, data governance, digital twin, AAS, lifecycle management

CLC Number:

TP391.9

YU Peng, CHEN Guo, WU Meiqi, LUO He, CHEN Hongxiang. Research on data governance methods for hydroelectric equipment operation and maintenance based on digital twins[J]. Information and Communications Technology and Policy, 2025, 51(10): 65-72.

Add to citation manager EndNote|Ris|BibTeX

URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2025.10.010

http://ictp.caict.ac.cn/EN/Y2025/V51/I10/65

Figures/Tables 4

References 8

[1]	李鸣, 郝守勤, 何震. 数据治理国际标准研究[J]. 信息技术与标准化, 2017(Z1):48-52.
[2]	陈峰, 李一, 马跃飞. 面向试验数据的装备大数据模型[J]. 电子技术应用, 2018, 44(5):13-15.
[3]	CHRISTIAN M, OSMUNDSEN K, JUNGLAS I. Designing and implementing digital twins in the energy grid sector[J]. MIS Quarterly Executive, 2021, 20(3):183-198.
[4]	王柳, 丁研, 肖毅. 工业4.0中资产管理壳的应用研究[J]. 仪器仪表标准化与计量, 2023(6):4-7.
[5]	GRIEVES M, VICKERS M. Digital twin:mitigating unpredictable, undesirable emergent behavior in complex systems[C]//2017 International Conference on System of Systems Engineering (SoSE). Waikoloa:SoSE, 2017:109-114.
[6]	夏义堃, 程铄, 王雪, 等. 数据空间建设的实践进展与运营模式分析:基于Data Spaces Radar的案例[J]. 图书与情报, 2024(2):18-32.
[7]	汪枫. 面向数字孪生基于CIM平台的数据治理研究[J]. 土木建筑工程信息技术, 2023, 15(3):1-6.
[8]	黄旭炜, 秦泽妍, 魏旻. 一种面向能源与制造协同调度的资产智能管理方法:CN116341871A[P], 2023.

[1]	MEN Nan, ZHANG Yuxiong, QIN Yuyao. Study on digital twin empowering resilient urban scenarios [J]. Information and Communications Technology and Policy, 2025, 51(9): 49-55.
[2]	ZHANG Jingtao, MA Yan, ZHANG Yuxiong, HAN Peng, MENG Nan. Digital twin city construction model and strategy suggestions [J]. Information and Communications Technology and Policy, 2025, 51(9): 61-66.
[3]	WANG Zhentao. Challenges and countermeasures of artificial intelligence in energy system-driven transformation [J]. Information and Communications Technology and Policy, 2025, 51(6): 38-43.
[4]	LIU Gaofeng, JIANG Yuehan, ZHANG Yuxiong. Artificial intelligence enables high-level development and high-quality construction of digital twin city [J]. Information and Communications Technology and Policy, 2025, 51(3): 74-82.
[5]	SU Chengjin, HUANG Wei, WANG Juncheng, FU Yun, YANG Dongxu. Research on material master data governance based on the integration of large language models and RAG technology with local computing infrastructure [J]. Information and Communications Technology and Policy, 2025, 51(10): 7-13.
[6]	YANG Yunlong, GUO Zhongmei, ZHANG Liang, SUN Liang, YANG Xulei. Research and reflection on the construction of data security system [J]. Information and Communications Technology and Policy, 2025, 51(1): 40-45.
[7]	LI Xingteng. Era connotation, value implication and realization path of data governance in the context of Digital China [J]. Information and Communications Technology and Policy, 2024, 50(9): 15-21.
[8]	ZHANG Yuanmeng, ZHOU Qin, YUAN Lili. Exploration of intelligent urban public service applications driven by large models [J]. Information and Communications Technology and Policy, 2024, 50(9): 37-42.
[9]	MA Yan. AIGC technology empowers the value and path of digital twin city construction [J]. Information and Communications Technology and Policy, 2024, 50(9): 43-50.
[10]	ZHANG Yuxiong, FAN Xiaofeng, MENG Nan, JIANG Yuehan. Research on the path of systematic construction of urban integrated digital twin base [J]. Information and Communications Technology and Policy, 2024, 50(9): 8-14.
[11]	YANG Yunlong, GUO Zhongmei, ZHANG Liang, SUN Liang. Analysis on the implementation path of data asset value [J]. Information and Communications Technology and Policy, 2024, 50(4): 24-33.
[12]	MA Chao. Digital transformation and development of standards in China from the perspective of transformation of standard data forms [J]. Information and Communications Technology and Policy, 2024, 50(2): 74-81.
[13]	LIU Weichen, YANG Huafeng, JIANG Minmin, LIU Jingqian. Research on construction of large model application and service platform [J]. Information and Communications Technology and Policy, 2024, 50(12): 21-30.
[14]	HUANG Yixiao, ZHANG Zhanmei. Exploration and practice of operator’s AI +MaaS IT support new model based on the three principles of decoupling, convergence, and interconnection [J]. Information and Communications Technology and Policy, 2024, 50(12): 31-36.
[15]	ZHAO Hui, ZHENG Siyuan. Application research of NeRF in the communication industry [J]. Information and Communications Technology and Policy, 2024, 50(12): 37-41.