Optical cable fault positioning method and device based on deep learning, and equipment

Abstract

One or more embodiments of the invention provide an optical cable fault positioning method and an optical cable fault positioning device based on deep learning, and equipment. The optical cable faultpositioning method comprises the steps of: acquiring a to-be-detected optical fiber of an optical cable; sequentially acquiring a plurality of pieces of Brillouin frequency shift information of the to-be-detected optical fiber according to the wiring direction of the to-be-detected optical fiber by using BOTDR equipment; sequentially inputting the plurality of pieces of Brillouin frequency shift information into a pre-trained fault detection model to obtain a plurality of identification results corresponding to the plurality of pieces of Brillouin frequency shift information; if the identification result is that the to-be-detected optical fiber is at a fusing position, positioning the position of a tower; and positioning the to-be-detected optical fiber of which the identification result is that the to-be-detected optical fiber is at the fusing position according to the tower position. According to the optical cable fault positioning method and the optical cable fault positioning device, the light operation state information acquired by the BOTDR equipment can be automatically identified, the labor cost is reduced, the optical cable fault can be accurately positioned, and the fault detection model can identify various fault types and position the faults.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of power grid security, and in particular to a deep learning-based optical cable fault location method, device, and equipment. Background technique [0002] Optical cables are the infrastructure for power transmission in power systems. Real-time detection of optical cables to determine the operating status of optical cables is essential to the safe and stable operation of the power grid. Optical cable fault location is the most critical part of optical cable line maintenance work. In the prior art, optical cable fault location methods include manual pulling, using backscattering method (OTDR) handheld devices under the condition of bending optical fibers, and radio frequency detection. method to measure and locate, OTDR uses OTDR handheld equipment to measure under the condition of quick freezing liquid, etc., using the above methods to find and locate the fault point of the op...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the purpose of one or more embodiments of this specification is to propose a deep learning-based optical cable fault location method, device and equipment to solve the problem of high labor costs, large equipment consumption, time-consuming and labor-intensive, low precision, and problems in the prior art. Problems causing secondary failures and relying on the work experience of maintenance personnel

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