An electrolyte inclinometer is widely used to measure the horizontal displacement of earth-rock dam,face dam,rock slope,embankment,foundation pit and other structures.In order to eliminate the measurement error caused by changes in ambient temperature and measurement noise,the sensor temperature experiment is carried out,and the measurement error and temperature changes for the three factors affected by the hardware itself,working environment,data acquisition are analyzed in detail.A precision compensation model based on variance compensation adaptive Kalman filter(AKF)and back propagation neural network(BPNN)is proposed.The results show that the electrolytic inclinometer reduces the mean square error of the horizontal displacement after the compensation by more than 80％compared with that before the compensation,which effectively reduces the error of calculating the horizontal displacement and greatly improves the measuring accuracy of electrolytic inclinometers.
关键词
电解液式倾角传感器/固定式测斜仪/精度提升/方差补偿自适应卡尔曼滤波/BP神经网络
Key words
electrolyte tilt sensor/fixed inclinometer/accuracy improvement/adaptive Kalman filtering with variance compensa-tion/BPNN
维普
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