Network operation abnormity capturing and early warning system based on data analysis

Abstract

The invention relates to the field of network operation early warning, is used for solving the problem that the capability of capturing fault information in the network operation process in advance and giving early warning in advance is insufficient in the network operation process, and particularly relates to a network operation abnormity capturing and early warning system based on data analysis. Comprising a network parameter acquisition unit, a parameter classification matching unit, a classification judgment unit, a judgment return unit and an early warning output unit, according to the invention, through comprehensive analysis of historical transmission data, line data and equipment parameters, statistical analysis of historical data in the aspect of network data transmission is realized, in combination with real-time equipment parameters, future network operation conditions are analyzed, and meanwhile, when abnormal operation of the network is captured and early warned, the real-time data transmission is realized. According to the method, the number of samples is automatically analyzed, misjudgment caused by accidental faults is avoided, the accuracy of a network operation early warning function is prevented from being affected, and capturing of network operation abnormal conditions and early warning of the network operation abnormal conditions which are about to occur are achieved.

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