Mobile network fault analysis system based on intelligent terminal

A mobile network and intelligent terminal technology, applied in the field of network communication, can solve problems such as inability to realize maintenance plan adaptability, simulation analysis, etc., and achieve the effects of healthy operation, network quality optimization, and complexity reduction

Inactive Publication Date: 2017-08-04
XIAMEN HUAXIA UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] At the same time, the existing mobile network monitoring systems all use real-time data acquisition to complete the monitoring of the ...

Method used

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  • Mobile network fault analysis system based on intelligent terminal

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Embodiment Construction

[0032] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] Such as figure 1 As shown, the embodiment of the present invention provides a mobile network fault analysis system based on an intelligent terminal, including

[0034] The network alarm data acquisition module is used to obtain relevant alarm data that occurs in the network management system, and send the acquired data to the network alarm data processing module;

[0035] The network alarm data processing module is used to analyze the received relevant alarm data, find out the potential relationship among them, split all the relationships into configurable data; and obtain the corresponding resources or faults of each network alarm data ...

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Abstract

The invention discloses a mobile network fault analysis system based on an intelligent terminal. The system comprises a network alarm data collection module, a network alarm data processing module, a network alarm assessment model building module, a current network alarm data collection module, a mobile network working condition access module, a data pre-processing module, a mobile network condition prediction module, a mobile network group unite planning analysis module, a network fault assessment module, a mobile network physical model building module, a virtual parameter actuation module, a virtual parameter module, a simulated analysis module and a central processor. According to the system provided by the invention, a large quantity of alarm data analysis of maintenance personnel can be avoided, work complexity is reduced, and network quality can be better optimized; rapid positioning of an alarm fault and pre-warning of hidden dangers can be automatically achieved, and healthy operation of a mobile network is achieved to a certain extent; simulated analysis of a physical model of the mobile network is achieved, and work of workers is further facilitated.

Description

technical field [0001] The invention relates to the field of network communication, in particular to an intelligent terminal-based mobile network fault analysis system. Background technique [0002] In mobile communication, there are many switching devices and complex indicators, and the daily data is accumulated in tens of thousands of records. If the traditional monitoring method is used, it will be very passive. Problems often cannot be found in time. Only when the equipment fails and the alarm is reported Knowing that even if it is found, the root cause of the problem cannot be quickly known, let alone the prediction of future data, or it can only be discovered through regular inspections of equipment or networks by maintenance personnel, making the operation and maintenance of the network management system very heavy. [0003] In fact, sometimes multiple faults may be caused by the same fault. If it cannot be resolved, it may cause other faults. It is necessary to analy...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/0631H04L41/0677H04L41/145H04L41/147
Inventor 陈明明王宁周海波王越陈育智蔡志猛汤丽华李小山
Owner XIAMEN HUAXIA UNIV
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