基于FBG的输电铁塔结构监测与数据融合研究

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英文篇名：Research on structure monitoring and data fusion of transmission towers based on FBG 作者：杨静 ; 李英娜 ; 邬卓恒 ; 赵振刚 ; 李川 英文作者：YANG Jing;LI Ying-na;WU Zhuo-heng;ZHAO Zhen-gang;LI Chuan;School of Information Engineering and Automation,Kunming University of Science and Technology; 关键词：铁塔倾斜 ; 光纤光栅倾角传感器 ; 倾角监测 ; 数据融合 ; 置信距离 英文关键词：tower tilt;;fiber grating tilt sensor;;tilt monitoring;;data fusion;;confidence distance 中文刊名：HDZJ 英文刊名：Information Technology 机构：昆明理工大学信息工程与自动化学院; 出版日期：2018-11-20 出版单位：信息技术 年：2018 基金：国家自然科学基金资助项目(51567013,51667011) 语种：中文; 页：HDZJ201811003 页数：5 CN：11 ISSN：23-1557/TN 分类号：18-22

摘要

针对输电铁塔易发生主材变形、倒塔等问题,文中利用ANSYS建立有限元模型,研究铁塔在不同应力下的主要变形部位,使用光纤Bragg光栅(FBG)倾角传感器监测铁塔该处倾斜情况。通过置信距离算法对云南电网某110kV输电线路30#直线塔倾角传感器的采样值进行异常数据剔除与时序融合,得到每个月的融合值为:1. 63°、1. 62°、1. 62°、1. 60°、1. 61°。融合结果可为铁塔损伤识别提供数据支持,改善传统的目视巡视方法。
        Aiming at the problems that tower tilt,main material deformation and tower collapse in transmission towers,ANSYS was used to establish a finite element model of a straight tower to study the main stress location of the tower under different forces. Based on this,a fiber Bragg grating( FBG) tilt sensor was used to monitor the inclination of the tower. Through using confidence distance algorithm,abnormal data culling and timing fusion were performed on the sampled values of the 30 # linear tower inclination sensor of a 110 kV transmission line in Yunnan Power Grid. The fusion value of each sensor is: 1. 63°,1. 62°,1. 62°,1. 60°,1. 61°. The fusion results can provide data support for the damage identification of the tower and improve the traditional eye-watching inspection method.

引文

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