Research on key technologies of cockpit platform based on operation and maintenance big data

Wei Wang

doi:10.1117/12.2670480

1 June 2023 Research on key technologies of cockpit platform based on operation and maintenance big data

Wei Wang

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 1262526 (2023) https://doi.org/10.1117/12.2670480
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

The rapid development in the modernization process of China's smart grid construction level is higher and higher, which support electronic business operations of change big data cockpit system, although in aspects such as resource allocation, trouble-shooting and auxiliary decision-making has played a positive role, but also in the pattern innovation, process improvement, etc have more problems. Therefore, in the context of the new era, according to their own business needs, electronic enterprises should speed up the construction process of smart grid, comprehensively rectify problems such as decentralized management and neglect of service, and improve the effectiveness and scientific nature of the cockpit system with big data as the core of operation and maintenance. Based on the current application status of IT operation and maintenance cockpit system, and according to the operation requirements of smart grid in the new era, this paper deeply discusses the key technologies of the cockpit platform with big data as the core of operation and maintenance. The final experimental results prove that using big data of operation and maintenance to construct cockpit platform in smart grid can further improve the operation and management level of Chinese power enterprises.

Citation Download Citation

Wei Wang "Research on key technologies of cockpit platform based on operation and maintenance big data", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 1262526 (1 June 2023); https://doi.org/10.1117/12.2670480

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