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Telecommunication access network facility fault detection method and device, and computer storage medium

A fault detection and access network technology, which is applied in computer components, computing, neural learning methods, etc., can solve problems such as difficulty in forming fault detection methods, complex equipment, and difficulty in meeting recognition accuracy requirements for image recognition algorithms

Active Publication Date: 2021-09-17
吴志伟 +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the equipment in the telecommunication access network facilities is complex, it is difficult to form a unified fault detection method, and it is difficult to meet the recognition accuracy requirements with a single image recognition algorithm, the invention provides a telecommunication access network facility fault detection method. Detection method, device and computer storage medium

Method used

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  • Telecommunication access network facility fault detection method and device, and computer storage medium
  • Telecommunication access network facility fault detection method and device, and computer storage medium
  • Telecommunication access network facility fault detection method and device, and computer storage medium

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Embodiment Construction

[0042] The following examples are further explanations and supplements to the present invention, and do not constitute any limitation to the present invention.

[0043] A method for detecting a failure of a telecommunications access network facility according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0044] refer to figure 1 As shown, the present invention provides a method for detecting a failure of a telecommunications access network facility, including:

[0045] S1. According to the acquired first network fault information of the telecommunication access network, using a preset association table, obtain a first faulty device set corresponding to the first network fault information, the first faulty device set includes the At least one type of faulty equipment in the telecommunications access network facility;

[0046]S2. Obtain the image collection data of the telecommunication access network facilitie...

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Abstract

The invention relates to a telecommunication access network facility fault detection method, which comprises the following steps of: according to acquired first network fault information of a telecommunication access network, acquiring a first fault equipment set corresponding to the first network fault information by utilizing a preset incidence relation table, wherein the first fault device set comprises at least one set of fault equipment in a telecommunication access network facility; and acquiring image acquisition data of the telecommunication access network facility, and performing target detection on the image acquisition data by using a preset target detection model according to the first fault equipment set to obtain a fault detection result of the telecommunication access network facility. By means of the telecommunication access network facility fault detection method, when the telecommunication access network has the fault, the fault detection result of the telecommunication access network facility is obtained by predicting the equipment which possibly has the fault and carrying out target detection on the related fault equipment, and a set of unified fault detection method for the telecommunication access network facility is formed while the fault detection accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of telecommunication network construction, in particular to a method, a device and a computer storage medium for detecting a failure of a telecommunication access network facility. Background technique [0002] In the existing technology, the mainstream image recognition algorithms include Faster-rcnn, Mask-rcnn, Cascade-rcnn, DCNnet, Yolo algorithm, etc., and the main application fields include transportation, communication, remote sensing satellite, biomedicine, machine vision and other fields. With the continuous improvement of the country's emphasis on safety production, image recognition technology has also begun preliminary research in the field of telecommunications access network construction safety supervision, but at present, image recognition in the field of telecommunications access network safety supervision is limited to human faces Simple identification scenarios such as identification and whe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24G06K9/00G06K9/62G06N3/04G06N3/08G06Q50/30
CPCH04L41/0695G06N3/08G06N3/045G06F18/214G06Q50/40
Inventor 吴志伟李锦华尹立云李芳芳郑博陈军邹妍李锦明王扬标
Owner 吴志伟