基于FBG的输电铁塔结构监测与数据融合研究

Research on structure monitoring and data fusion of transmission towers based on FBG

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.