基于卡尔曼滤波的机场道面接缝积水检测方法研究

摘要

机场道面接缝积水会逐渐破坏机场道面平坦度,影响飞行安全.传统的机场接缝除湿方式易导致水泥焦化且效率低下.利用微波辐射技术设计了机场水泥道面接缝积水的检测系统,将含水量的测定转化为对电压的测量.采用最小二乘法和卡尔曼滤波分别对硬件测量误差进行补偿,分析结果表明,使用最小二乘法优化数据可将平均误差率由0.131 1％降为0.019 4％,而运用卡尔曼滤波算法则可降至0.008 1％,能够显著提高机场道面接缝积水含水量的测定精度.%The airport pavement joint seeper can undermine the smoothness of airport pavements and endanger flight safety.Traditional methods of dehumidifying the joints are not only easy to cause coking of cement but also inefficient.Based on the microwave radiation technology,the detection system of airport pavement joint seeper is designed,thus transforming the measurement of moisture content into the measurement of voltage.The least squares method and Kalman filtering algorithm are used to compensate for hardware error respectively.The results show that the mean error rate can be reduced from 0.131 1％to 0.019 4％by using the least squares method,while it can be reduced from 0.131 1％to 0.008 1％by using Kalman filtering algorithm which improves measurement accuracy of moisture content remarkably.