Abstract
With the development of microservices architecture, O&M in grid business systems is shifting from the traditional device-oriented approach to demand-oriented user experience and operational data analysis. How to achieve intelligent and demand-refined O&M has become the biggest challenge now. To solve this issue, the paper introduces an innovative approach to the automated generation of tags for time series classification through representation learning, significantly reducing tag costs associated with training. Then, focusing on the construction, management and application of portrait tags, this paper analyzes the O&M portrait indicators of grid business application system under microservice architecture, and designs and proposes a framework of portrait tag system for intelligent O&M of grid business application system to provide reference for intelligent O&M of business application system. The purpose of this system is to realize the data association and application of portrait label construction, management and application, and to provide intelligent support for the operation and maintenance of business application system. At the same time, this paper discusses the application of portrait tag in operation and maintenance decision support, anomaly detection, fault analysis and so on. The research results of this paper have important practical significance for improving the stability and security of the system and realizing the intelligent operation and maintenance of the business application system.
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This work was supported by the Foundation of State Grid Information & Telecommunication Brach Science and Technology Program under Grant No. 52993920002H.
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Gao, D., Zhang, B., Yang, M., Feng, B., Xie, L., Shao, Y. (2024). O&M Portrait Tag Generation and Management of Grid Business Application System Under Microservice Architecture. In: Jin, H., Pan, Y., Lu, J. (eds) Data Science and Information Security. IAIC 2023. Communications in Computer and Information Science, vol 2059. Springer, Singapore. https://doi.org/10.1007/978-981-97-1280-9_5
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DOI: https://doi.org/10.1007/978-981-97-1280-9_5
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