Research on multi-source distribution network data management method based on StarRocks

Chao Su; Fujun Qi; Shengnan Zhao; Weichao Pang; Xiaoxuan Sun

doi:10.1117/12.3030642

5 June 2024 Research on multi-source distribution network data management method based on StarRocks

Chao Su, Fujun Qi, Shengnan Zhao, Weichao Pang, Xiaoxuan Sun

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131634R (2024) https://doi.org/10.1117/12.3030642
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

The growing volume of multi-sourced, heterogeneous data in distribution network necessitates an update in data management methods. Conventional approaches face limitations in querying and analysis, especially at large scales. Addressing these issues, the paper introduces a data management system based on StarRocks. The proposed method can meet the evolving demands of modern distribution networks, emphasizing efficiency, scalability, and responsiveness to real-time and privacy concerns. The case results indicate that StarRocks has better performance in importing data, and can read and analyze privacy data without uploading it to the central database.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chao Su, Fujun Qi, Shengnan Zhao, Weichao Pang, and Xiaoxuan Sun "Research on multi-source distribution network data management method based on StarRocks", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131634R (5 June 2024); https://doi.org/10.1117/12.3030642

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