基于MIMU的输电线路运动监测技术

在分析当前输电线运动监测技术优缺点的基础上,提出一种基于MIMU的输电线路运动监测技术.采集MIMU时间序列信号建立ARMA模型,对比力和角速度信号进行Kalman滤波处理;由于平动和转动的幅值是由比力和角速度积分所得,以各轴比力平方和与角速度平方作为衡量输电线平动和转动幅度的标准,并对数据进行分段,通过计算数据段间的欧式相似度衡量数据的变异程度来评估输电线平动和转动的幅度及变化趋势,对测得加速度和角速度做FFT变换得出运动频率.为验证运动监测技术,设计转台摇摆模拟输电线3种不同幅值运动,将数据进行上述算法处理,结果表明,估计出的平动和转动幅度趋势和幅值变化相同,且精确识别施加的频率为2Hz.实验室条件下,搭建的模拟系统正常工作.

Monitoring technology of transmission line movement based on MIMU

On the base of the transmission line movement monitoring techniques presently,a monitoring technology of transmission line movement base on MIMU is presented. The signals of MIMU are collected and establish ARMA model of MIMU time series and the data signals are processed by Kalman filter;and then treat the sum of squares of each axis specific force and the squares of angular velocity as a standard to measure the amplitude of the transmission line vertical motion and rotation, then the processed data is putted into different segments, through monitoring the euclidean similarity between data segments to measure the the magnitude of the transmission line vertical motion and rotation,motion frequency is obtained by FFT of acceleration and angular velocity data. Three different magnitudes movement of transmission line were simulated by the swings of turntable and the data was collected and processed by the algorithm above. The results show that the estimated vertical motion and rotational amplitude trends are the same as true amplitude. The simulation system can work properly under the laboratory conditions.