[1]李志刚,刘自强,张 辉.基于国产平台的可视化分析诊断系统[J].计算机技术与发展,2022,32(03):96-101.[doi:10. 3969 / j. issn. 1673-629X. 2022. 03. 016]
　LI Zhi-gang,LIU Zi-qiang,ZHANG Hui.Visual Analysis and Diagnosis System Based on Domestic Platform[J].,2022,32(03):96-101.[doi:10. 3969 / j. issn. 1673-629X. 2022. 03. 016]
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基于国产平台的可视化分析诊断系统()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年03期
页码:
96-101
栏目:
系统工程
出版日期:
2022-03-10

文章信息/Info

Title:
Visual Analysis and Diagnosis System Based on Domestic Platform
文章编号:
1673-629X(2022)03-0096-06
作者:
李志刚; 刘自强; 张 辉
中国电子科技集团公司第五十二研究所,浙江 杭州 311100
Author(s):
LI Zhi-gang; LIU Zi-qiang; ZHANG Hui
52nd Research Institute of China Electronics Technology Group Corporation,Hangzhou 311100,China
关键词:
日志解析; 异常检测; 知识管理; 推理诊断; 可视化监测; 分层架构
Keywords:
log parsing; exception detection; knowledge management; reasoning diagnosis; visual monitoring; hierarchical architecture
分类号:
TP302
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 03. 016
摘要:
随着国产平台在各行业信息系统中的推广使用,其系统规模及复杂度日益提高,可靠运行面临较大挑战。 针对面临的问题及挑战,从故障快速定位排查入手,对国产平台在运行维护和故障诊断排查中存在的问题进行分析,设计一种集日志分析、智能诊断和可视化监测等技术相融合的可视化分析诊断系统。 基于日志分析可从大量日志噪声数据中自动识别关键信息并进行异常检测;通过智能推理诊断,可实现在错综复杂环境中故障的快速诊断及排查;通过可视化监测,以用户易懂的方式可视化展现众多监测数据,可提高用户对系统运行状态的理解和把控。 该系统在传统监控的基础上,通过融入日志聚类异常检测技术、专家推理诊断技术和数据可视化技术,可有效提高国产平台的故障排查速度和可靠运行水平。
Abstract:
With the popularization and application of domestic platform in various industry information systems,the scale and complexity of the system are increasing,and the reliable operation is facing great challenges. Aiming at the problems? ?and challenges,we analyze the problems existing in the operation and maintenance and fault diagnosis of domestic platforms from the perspective of rapid fault location and troubleshooting, and design a visual analysis and diagnosis system integrating log analysis, intelligent diagnosis and visual monitoring. Based on log analysis, key information can? be automatically identified from a large number of log data and abnormal detection can be carried out. Through intelligent reasoning diagnosis,fault diagnosis and troubleshooting in complex environment can be realized quickly. Through visual monitoring,a large number of monitoring data can be visualized in a way that is easy for users to understand,which can improve the overall control of system operation state by users. On the basis of traditional monitoring,the system can effectively improve the troubleshooting speed and reliable operation level of domestic platform by integrating log clustering anomaly detection technology,expert reasoning diagnosis technology and data visualization technology.

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更新日期/Last Update: 2022-03-10