Author(s)

Wang Weijie ¹, Luo Dabiao ¹

Affiliation(s)

¹ Information Network Center, Chengdu University, Chengdu, China

Corresponding Author

Wang Weijie

ABSTRACT

This paper explores the application and practice of AI-based intelligent operation and maintenance (O&M) systems in university informatization. It analyzes the advantages of AI-driven O&M systems in enhancing operational efficiency, reducing manual intervention, and optimizing resource allocation. The article introduces the basic concepts of AI-driven intelligent O&M systems and their specific application scenarios in universities, demonstrating how these systems improve efficiency and quality through concrete case studies. It also discusses the challenges faced in current implementations and proposes strategies for addressing them. The research concludes that AI technology will provide more efficient and intelligent O&M support for university informatization, ushering in a new era of smart development in university information systems.

KEYWORDS

AI Technology; Intelligent Operation and Maintenance; Informatization Construction; Automation

CITE THIS PAPER

Wang Weijie, Luo Dabiao, Application and Practice of AI-based Intelligent Operation and Maintenance Systems in University Informatization. Journal of Artificial Intelligence Practice (2025) Vol. 8: 75-80. DOI: http://dx.doi.org/10.23977/jaip.2025.080210.

REFERENCES

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[2] Sun, Y. (2023). Research and application of the AI-based intelligent operation and maintenance (AIOps) alarm model. In Proceedings of the 2022 Annual Academic Conference of the Inner Mongolia Communication Society (pp. 100-105). Inner Mongolia Communication Society.
[3] Sun, Y. (2023). Research and application of the AI-based intelligent operation and maintenance (AIOps) alarm model. In Proceedings of the 17th Annual Academic Conference of Inner Mongolia Natural Science, Subsession and the 2022 Annual Academic Conference of Inner Mongolia Communication Society (pp. 112-117). China Telecom Inner Mongolia Branch, Big Data and AI Center. 
[4] Ye, Y., Li, X., Li, Q., et al. (2023). Exploration of the application of deep learning-based artificial intelligence system (endoscope genie) in the gastroenterology graduate student gastroscopy learning. Modern Digestive and Interventional Therapy, 28(2), 216-220. 
[5] Peng, Y., Chen, Y., & Zhang, F. (2023). Intelligent operation and maintenance and security system of substations based on information fusion technology. Manufacturing Automation, 45(9), 84-88.

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