Fiber optic cable performance monitoring and optimization research based on multiple environmental parameters
1
State Grid Information & Telecommunication CO. of Shanxi Electric Power Company, Taiyuan 030021, China
Submission date: 2025-05-10
Final revision date: 2025-07-24
Acceptance date: 2025-08-06
Online publication date: 2025-09-09
Publication date: 2025-09-09
Corresponding author
Jianliang Zhang
State Grid Information & Telecommunication CO. of Shanxi Electric Power Company, Taiyuan 030021
State Grid Information & Telecommunication CO. of Shanxi Electric Power Company, Taiyuan 030021
KEYWORDS
Light intensityFiber optic sensing networkFiber optic cable outer layer broken strandsIntegrated circuit busHigh precision monitoring
TOPICS
ABSTRACT
The study proposes a fiber optic cable performance monitoring method based on a variety of environmental parameters. This method involves the measurement of optical fiber-type light intensity of the fiber optic cable line,which is used for safety monitoring, monitoring and analysis of fiber optic cable lines, and the design of a fiber optic cable outer layer broken strands of high precision monitoring method, which combines fiber grating sensing.To optimize the monitoring method of fiber optic cable performance, the study was based on fiber optic coupling efficiency and numerical aperture for parametric measurement loss analysis.The results indicated that the signal-to-noise ratio of the fiber optic sensor can be up to 152 and 157 dB,and the response frequency can be up to 6233 and 6315 times/s.It can be observed that the monitoring method proposed by the study is an effective means of monitoring the defects of optical cable operation, providing reliable protection for the fault monitoring of the outer layer of the cable in remote areas,improving the operational efficiency of the power system, and effectively monitoring the performance of the cable.This is crucial to implementing the management of the optical cable's safety performance assessment since it establishes the framework for it.
FUNDING
The research is supported by the Science and Technology Project of State Grid Shanxi Electric Power Company (52051C230002).
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| eISSN: | 2449-5220 |
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