基于激光雷达的输电线路山火灾害损伤评估

传统基于BP神经网络的输电线路灾害损伤评估方法,由于未考虑空气粒子散射的影响,存在评估结果不准确的问题,因此提出一种基于激光雷达的输电线路灾害损伤评估方法。利用激光器发出激光束脉冲,经过烟雾粒子散射,信号被光学系统获取后得到后向散射信号功率的激光雷达方程,采用Fernald算法区分空气粒子散射与烟雾粒子散射,利用激光雷达方程得到散射系数和消光系数,经反演计算得到烟雾信息,判断是否发生山火线损灾害。根据激光雷达获取的灾害数据,建立输电线路灾害损伤评估体系,该体系通过支路过载程度、线路负荷损失比、用户停电损失比等评估输电线路灾害损伤程度。实验结果表明,激光雷达能够准确监测到270～570 m范围内的烟雾脉冲波形,匹配结果为0.39,与历史数据吻合,说明该方法实用性较高。

Damage Assessment of Transmission Line Fire Disaster Based on Lidar

The traditional BP neural network-based disaster damage assessment method for transmission lines has the problem of inaccurate evaluation results because the influence of air particle scattering is not considered.Therefore,a laser radar-based disaster damage assessment method for transmission lines is proposed.The laser radar pulse is emitted by the laser,and the signal is acquired by the optical system to obtain the backscattered signal power of the lidar equation.The Fernaid algorithm is used to distinguish the air particle scattering from the smoke particle scattering,and the laser radar equation is used to obtain the scattering coefficient and extinction.The coefficient is calculated by inversion to obtain smoke information to determine whether a mountain fire damage has occurred.According to the disaster data acquired by the laser radar,a disaster damage assessment system for the transmission line is established.The system evaluates the damage degree of the transmission line through the degree of branch overload,the line load loss ratio,and the user power loss ratio.The experimental results show that the laser radar can accurately detect the smoke pulse waveform in the range of 270m ?570m.The matching result obtained by the evaluation method is 0.39,which is consistent with the historical data,indicating that the proposed method is more practical.