Article Details

Abstract

To address the problems of complex information systems, such as numerous management elements, diverse monitoring dimensions, difficulty in manual operation and maintenance, and the lack of visual topology, this paper proposes an intelligent Operation and Maintenance (O&M) method that adopts a technical architecture of “bottom-up and full-domain connectivity”. Through data fusion processing, intelligent aided decision-making, autonomous fault alarming, and intelligent anomaly localization, the method achieves full-dimensional status monitoring, multi-source data integration, autonomous anomaly analysis, and comprehensive situational presentation. It effectively solves the long-standing problems that affect the stability of information systems, such as inadequate monitoring of complex systems, difficulty in problem localization, and delayed O&M handling, and thus provides a referable and implementable method for the intelligent O&M support of large and complex information systems. Application verification shows that the method has the capabilities of global element monitoring, efficient behavior analysis, and intelligent fault assistance. Compared with the traditional mode, the anomaly handling efficiency is improved by more than 90%, which significantly improves the stability of the system.

Keywords

complex information system; intelligent Operation and Maintenance; intelligent assistance; operation behavior analysis

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About the authors

Deng Zongping (1988-), male, Han ethnicity, from Tengxian, Guangxi, engineer, master's student, research interests include software engineering and smart information systems; Wu Tianxiang (1992-), male, Han ethnicity, from Jize, Hebei, engineer, master's student, research interests include software engineering and project contract supervision; Deng Xiaolong (1987-), male, Han ethnicity, from Suining, Sichuan, researcher, master's student, research interests include digital engineering and smart information systems; Lai Bo (1973-), male, Han ethnicity, from Leshan, Sichuan, researcher, master's student, research interests include command and control and smart information systems.