Method and device for monitoring and controlling network risks

Abstract

The invention provides a method and device for monitoring and controlling network risks. The method is executed by a computer and comprises the following steps: step one, selecting the sample space of network objectives of some network element (NE), carrying out statistic analysis on the sample point data of the sample space, and calculating a dynamic baseline, wherein the network objectives comply with a normal distribution character; step two, according to preset tolerability and the dynamic baseline, determining the upper tolerance limit and the lower tolerance limit of the network objectives as early warning thresholds for triggering an early warning generating mechanism of the predictive network objectives; and step three, judging whether values of the predictive network objectives which are monitored and controlled in real time exceed the early warning thresholds; and if the values exceed the early warning thresholds, triggering the early warning generating mechanism. By realizing a dynamic threshold method, the threshold values can be set more reasonably and accurately, multiple early warning grades can be triggered, accurate monitoring and control for networks is reached, hidden failures in the networks are found, and finally after-event problem analysis of the prior art for the network failures is changed into initiative monitoring and controlling of the network objectives before problems generate, thus effectively ensuring the normal operation of the networks.

Description

technical field [0001] The present invention relates to network index monitoring technology, in particular, to a network risk monitoring method and device. Background technique [0002] At present, network technology is more and more widely used, and many daily work and entertainment activities of people cannot do without the network. With the increasing number of services provided by the network, user perception requirements are also increasing. In the mobile wireless network, there are a series of indicators reflecting network capacity, quality and coverage, which can characterize the overall network performance, enable operators to fully control the overall operating status of the network, and provide an important basis for reference for the continuous construction, planning and optimization of the network . Therefore, it is very important to assess and monitor network indicators, especially performance indicators, and network operation during major holidays. [0003] ...

AI Technical Summary

Problems solved by technology

[0005] 1. The index threshold value in the prior art is generally manually set by the professional personnel based on experience, so there is a large error and inaccuracy

[0006] 2. Due to the characteristics of the mobile wireless network itself and the mobility of users, its performance indicators are fluctuating. However, using the static benchmark threshold method, for indicators with fluctuation characteristics, such as hourly traffic volume, data traffic volume, and traffic volume per line , paging load, etc., cannot timely and accurately reflect the abnormal situation of the network

[0007] 3. It cannot directly reflect the differences between equipment network elements when reflecting different alarm levels

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