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作 者:秦世伟[1] 陈航宇 QIN Shiwei;CHEN Hangyu(Department of Civil Engineering,School of Mechanism and Engineering Science,Shanghai University,Shanghai 200444,China)
机构地区:[1]上海大学力学与工程科学学院土木工程系,上海200444
出 处:《计算机测量与控制》2024年第10期319-325,共7页Computer Measurement &Control
基 金:上海市2021年度“科技创新行动计划”社会发展科技攻关项目(21DZ1204200)。
摘 要:电解液式测斜仪广泛适用于测量土石坝、面板坝、岩土边坡、路堤、基坑等结构物的水平位移监测。为消除环境温度变化和测量噪声引起的电解液式测斜仪测量误差,进行了传感器温度实验,并对硬件本身、工作环境、数据采集三种测量误差影响因素和温度变化影响因素进行详细分析,提出了一种基于方差补偿自适应卡尔曼滤波(AKF)和BP神经网络(BPNN)的精度补偿模型;结果表明,补偿后的电解液式测斜仪水平位移的均方误差相较于补偿前平均降低了80%以上,从而有效减少计算水平位移的误差,极大提升了电解液式测斜仪的测量精度,可应用于电解液式测斜仪实际工程。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
分 类 号:TH70[机械工程—仪器科学与技术]
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