Hidden danger analysis method and device of network equipment, electronic equipment and storage medium

Abstract

The invention discloses a hidden danger analysis method and device for network equipment, electronic equipment and a storage medium, and belongs to the technical field of communication, and the method comprises the steps: analyzing whether the service quality of the network equipment has an abnormal hidden danger or not based on the account proportion of a target account served by the network equipment in N continuous periods, and obtaining a first hidden danger result, and based on the account proportion of the target account served by the network equipment in the M continuous periods, analyzing whether the service quality of the network equipment has a degradation hidden danger or not to obtain a second hidden danger result, and further determining the hidden danger condition of the network equipment based on the first hidden danger result and the second hidden danger result, the broadband network quality of the target account is lower than the preset network quality, the M continuous periods and the N continuous periods are overlapped in time, and M is greater than N. Therefore, potential hazard analysis is carried out on the network equipment based on the broadband network quality which can be perceived by the user, and the method is closer to the user side, so that the potential hazard of the network equipment can be found in time.

Description

technical field

[0001] The present application relates to the technical field of communication, and in particular to a hidden danger analysis method, device, electronic equipment and storage medium of network equipment. Background technique

[0002] With the rapid increase of network users, the pressure on the network equipment deployed by communication operators to provide network services is also increasing rapidly. In order to ensure the user's online experience, it is very necessary to monitor the network equipment.

[0003] In related technologies, various performance indicators are set for network equipment, and the service quality of network equipment is monitored based on the indicator values ​​of these performance indicators. The threshold has not been exceeded but the user experience has deteriorated, causing user complaints or even leaving the network. Moreover, this solution has a strong dependence on the selection of performance indicators. If the performance i...

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