A Fast and Accurate Mapping Method for an OPGW Tower Based on Hybrid Distributed Optical Fiber Sensing

Author:

Yao Yuanyuan12ORCID,Wang Ruofan12,Ding Hao12,Tong Shuai12,Han Yucheng3,Zhao Shisong123,Zou Ningmu12ORCID,Xiong Fei24,Zhang Yixin12

Affiliation:

1. College of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China

2. Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Nanjing University, Nanjing 210093, China

3. Nanjing Fiber Photonics Technology Co., Ltd., Nanjing 211135, China

4. Inner Mongolia DT Electric Power Design, Hohhot 010010, China

Abstract

The combination of the dark fiber in existing Optical Fiber Composite Overhead Ground Wire (OPGW) with Distributed Optical Fiber Sensing (DOFS) technology can be used to enable online monitoring and provide early warnings of anomalies in high-voltage transmission lines. Accurate mapping of the optical cable length to the geographic coordinates of actual towers is a key factor in achieving this goal. This paper discusses the principle of using a DOFS system for transmission line tower positioning and presents four available positioning features. To overcome the limitations of single physical parameter positioning, this paper presents a self-developed hybrid DOFS that simultaneously captures Rayleigh backscattering and Brillouin scattering signals. Several physical parameters, including temperature, strain, and vibration, are acquired synchronously. Through hybrid multi-parameter analysis, the rapid and accurate positioning of OPGW line towers is achieved. Experimental results have shown that the proposed method, based on the hybrid DOFS system, can locate up to 82 towers, while the traditional method could only identify 12. The hybrid system was able to complete 80% of the tension towers in 40 h. This paper presents a novel multi-parameter localization method that has the potential to significantly improve the efficiency and reliability of grid operation and maintenance.

Funder

National Natural Science Foundation of China

Equipping Pre-Research Project

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

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