Design of transmission line tower tilt monitoring system based on laser sensor
In order to solve the problem that real-time monitoring cannot be realized in the traditional transmission line tower tilt detection,a real-time monitoring system for tower tilt is designed.According to the principle of laser triangulation measurement,the inclination sensor is designed,and a tower tilt measurement model based on laser triangulation is established,and the distance of spot movement is calculated by using the Gaussian fitting algorithm.And then,the inclination angle of the tower is calculated by combining the trigonometric relationship.A generalized regression neural network(GRNN)model for temperature drift error compensation is constructed,and quadruple cross-validation is used to search for the optimal propagation parameters of GRNN.The experimental results show that the average measurement error of the laser triangulation inclination sensor caused by temperature drift is 2.68° before compensation,and the average error is reduced to 0.51° after the output is corrected by GRNN,and the temperature nonlinearity is 0.003％ FS/℃.The average absolute error of the whole system reaches 0.54°,which is decreased by 2.24°.
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