Lei Peng, Suchao Wang, Jing Yuan, Liming Pan, Min Wang
{"title":"Intelligent detection technology of potential grounding trouble of OPGW cable in substation based on attention model","authors":"Lei Peng, Suchao Wang, Jing Yuan, Liming Pan, Min Wang","doi":"10.1016/j.yofte.2025.104151","DOIUrl":null,"url":null,"abstract":"<div><div>The traditional OPGW optical cable grounding hidden danger detection method has some limitations such as low detection efficiency, high cost, and easy of being affected by human factors. To this end, an intelligent detection technology based on the attention model of substation OPGW cable grounding hidden trouble is designed. Based on the principle of electric field coupling, the spatial transient electric field is measured, and the phase linearization of the MZI output signal is realized by equiphase extraction and resampling. The wavelet packet transform is introduced to extract the energy features of the signal subband, the spatial and channel attention mechanism is introduced, and the coordinates of the located fault point are displayed on 2D and 3D images using the VR-GIS virtual optical cable line information database. The experimental results show that when the test times are 3, the optical power value of the design method and the real value are −0.02 dB. The difference between the network communication fault signal and the actual fault signal is 0.3 dB at most, the error value is less than 1 %, and the recall rate is stable above 90 %.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"93 ","pages":"Article 104151"},"PeriodicalIF":2.6000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520025000264","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The traditional OPGW optical cable grounding hidden danger detection method has some limitations such as low detection efficiency, high cost, and easy of being affected by human factors. To this end, an intelligent detection technology based on the attention model of substation OPGW cable grounding hidden trouble is designed. Based on the principle of electric field coupling, the spatial transient electric field is measured, and the phase linearization of the MZI output signal is realized by equiphase extraction and resampling. The wavelet packet transform is introduced to extract the energy features of the signal subband, the spatial and channel attention mechanism is introduced, and the coordinates of the located fault point are displayed on 2D and 3D images using the VR-GIS virtual optical cable line information database. The experimental results show that when the test times are 3, the optical power value of the design method and the real value are −0.02 dB. The difference between the network communication fault signal and the actual fault signal is 0.3 dB at most, the error value is less than 1 %, and the recall rate is stable above 90 %.
期刊介绍:
Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews.
Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.