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Design And Implementation Of A Comprehensive Network Management Alarm System Based On Data Mining Technology

Posted on:2021-04-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y H LiuFull Text:PDF
GTID:2438330602997663Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the Heilongjiang broadcast network scale and various services,the complexity of the network has gradually increased,resulting in the increasing number and type of fault alarms in the Heilongjiang broadcast access network,and the correlation between alarm information is also more complicated,making the key The alarm information cannot be identified and processed in time,which brings great difficulties to the network operation and management of radio and television.As an important means to support the operation and maintenance of radio and television networks,the integrated network management alarm system urgently needs to solve these problems.Therefore,it is necessary to adopt appropriate technologies and methods to improve the overall intelligent processing capacity of the system.Based on the analysis of existing problems in Heilongjiang Broadcasting Network,this paper designs and implements a comprehensive network management alarm system based on data mining technology for the purpose of the construction of an integrated network management alarm system,combined with key technologies such as data mining and alarm correlation analysis.It consists of three parts: alarm data collection,data processing,and alarm presentation and management.The weighted FP-growth data mining algorithm is used in the alarm system to automatically complete the association rule mining of historical alarm data and update and maintain the alarm association rule knowledge base.At the same time,the alarm system combines the rule base and the association analysis engine to complete the collection The real-time alarm data can be intelligently matched and analyzed to effectively identify key alarm information and reduce the presentation of a large number of alarms,thereby ultimately helping the operation and maintenance personnel combine the multiple presentation and query methods provided by the system to realize the analysis and management of fault alarms.Finally,the algorithm and functions of the system are tested,and the accuracy and practical application effect of the system are verified.The results show that the system as a whole has achieved the initial design and construction goals,can effectively improve the intelligent processing ability of alarm data and the work efficiency of operation and maintenance personnel,and meet the requirements of system fault alarm management.
Keywords/Search Tags:Fault alarm, Data mining, Alarm correlation Analysis, Association rules, Weighted FP-growth
PDF Full Text Request
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