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实时监测高压电线弧垂的毛细管光纤传感器 被引量:1

Capillary Optical Fiber Sensor for Real-Time Monitoring of High-Voltage Transmission Lines Sag
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摘要 高压输电线的弧垂是线路设计和运行的重要指标,关系到线路的运行安全,必须控制在设计规定的范围内。输电线弧垂测量是国内外电力部门和研究机构的重点研究内容。基于毛细管光纤设计了一种新型的高压电线弧垂传感器。该传感器具有模场面积大、抗电磁干扰能力强、可实时在线监测的优点。实验结果表明,当传感器的弧垂曲率半径小于15 cm时,监测灵敏度为2.552 dB/cm,线性相关系数为0.9635。传感器的弧垂曲率半径越小,弯曲程度越大,毛细管光纤传感器的灵敏度就越高。该实验现象与理论分析结果相一致,验证了其在实际应用中的可行性。 The sag of high-voltage transmission lines is an important indicator for the lines design and operation.Moreover,it is related to the safety of the lines operation and is controlled within the range specified by the design.Transmission lines sag measurement is a key research topic for domestic and international power departments and research organizations.In this paper,a capillary fiber-based high-voltage transmission lines sag sensor is designed.The sensor has advantages of a large mode area,strong anti-electromagnetic field interference ability,and real-time online monitoring.The experimental results show that when the sag radius of the sensor is less than 15 cm,the monitoring sensitivity is 2.552 dB/cm,and the linear correlation coefficient is 0.9635.The higher the sensitivity of the capillary fiber optic sensor,the smaller the sag curvature radius of the sensor and the greater the bending degree.The experimental phenomenon is consistent with the theoretical analysis results,indicating its practical applicability.
作者 张晓东 朱晓亮 虞瑶 陈佳一 孙泽诚 Zhang Xiaodong;Zhu Xiaoliang;Yu Yao;Chen Jiayi;Sun Zecheng(College of Mechanical and Electrical,Hangzhou Polytechnic,Hangzhou,Zhejiang 311402,China;College of Information and Electronic Engineering(Sussex Artificial Intelligence Institute),Zhejiang Gongshang University,Hangzhou,Zhejiang 310018,China;Futong Technology Research Institute Co.,Ltd.,Hangzhou,Zhejiang 310000,China)
出处 《激光与光电子学进展》 CSCD 北大核心 2022年第7期333-337,共5页 Laser & Optoelectronics Progress
基金 浙江省自然科学基金基础公益研究计划(LGG20E040001) 杭州科技职业技术学院校课题(HKZYYB-2018-1)。
关键词 传感器 高压输电线 弧垂 毛细管光纤 实时监测 sensors high-voltage transmission lines sag capillary optical fiber real-time monitoring
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