High-speed network fault pre-judgment terminal based on deep learning algorithm

Abstract

The invention discloses a high-speed network fault pre-judgment terminal based on a deep learning algorithm. The system comprises a detection module which is coupled to a high-speed network and a detection module so as to receive communication state data of the high-speed network output by the detection module, carry out the recognition and analysis of the communication state data, judge whether the high-speed network has a fault or not according to an analysis result, and output a specific fault; and the fault module stores fault prevention data and is also coupled to the processing module. According to the high-speed network fault pre-judgment terminal based on the deep learning algorithm, through the arrangement of the detection module, the processing module and the fault module, communication state data of a high-speed network can be effectively detected, and then whether the high-speed network breaks down or not is recognized and analyzed according to the communication state data.

Description

technical field [0001] The present invention relates to a terminal device, in particular to a high-speed network fault prediction terminal based on a deep learning algorithm. Background technique [0002] With the development of communication technology, the daily application of the network is becoming more and more popular and extensive. The Internet of Things is an application of communication technology. Through the existence of the Internet of Things, the ubiquitous connection between things and things, things and people can be realized. Realize intelligent perception, identification and management of items and processes. [0003] However, in the process of intelligent perception, identification and management of the Internet of Things, the transmission rate and stability of the network are very important, so the existing high-speed network is the basis of the Internet of Things, but the existing high-speed network is used During the process, due to factors such as inte...

AI Technical Summary

Problems solved by technology

[0003] However, in the process of intelligent perception, identification and management of the Internet of Things, the transmission rate and stability of the network are very important, so the existing high-speed network is the basis of the Internet of Things, but the existing high-speed network is used During the process, due to factors such as interference problems, hardware problems, and data problems, the high-speed network will fail, which in turn will lead to the failure of the Internet of Things, which will lead to large losses, and the amount of loss is directly related to the high-speed network fault maintenance time. , the longer the maintenance time, the greater the loss. Therefore, how to quickly and effectively determine the cause of the high-speed network failure and then repair it is very necessary. At present, the existing high-speed network maintenance method is After a fault occurs in the network, the fault of the high-speed network is detected by manual handheld device detection, and then the troubleshooting is carried out. Pre-setting, when these faults occur, the processor automatically recognizes them to achieve the effect of automatic detection of faults, but this method can only quickly identify some simple faults, and when some more complex faults occur , it still needs manual detection and identification, so its troubleshooting efficiency is still not high

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