压电薄膜车辆动态称重系统算法研究

摘要

A vehicle weigh-in-motion system based on piezo-film sensors is used,which has been tested by three kinds of vehicles at different ambient temperature and speed. The singular spectrum algorithm is adopted to reduce the noise in testing axle-load signal. A novel reconstructed order selecting method is presented,which simplifies the judgment criteria for singular spectrum algorithm. The impact of ambient temperature and speed on weighing result is analyzed in detail. The axle-load signal area is compensated in the improved weighting algorithm. The test plat⁃form of piezo-film vehicle weigh-in-motion system based on double sensors is established. The test shows that the av⁃erage vehicle-weight error measured by double sensors is 22.4%lower than the single sensor. The proposed weigh-in-motion system meets the practical application requirement at speed within 50 km/h and the average error less than 5%,justifying the validity of the proposed SSA algorithm.%利用一种基于压电薄膜称重传感器的车辆动态称重系统，在不同环境温度和车速下，对三种车型进行称重系统工程应用实测试验。将奇异谱分析（SSA）算法用于轴重信号的降噪处理，提出了一种新的重构阶次选择方法，简化了重构阶次选择的判断准则。分析了环境温度及车速对称重结果的影响，采用改进的车重计算方法对轴重信号面积进行补偿，降低了称重误差。建立了基于双传感器的压电薄膜车辆动态称重系统及测试平台。试验表明，以双传感器检测的车重平均值，其误差比单传感器检测误差降低22.4%。车速在50 km/h以内，称重平均误差小于5%，可满足实际工程要求，验证了SSA算法的有效性。