压电薄膜车辆动态称重系统算法研究  

Research on Algorithm of Piezo-Film Vehicle Weigh-in-Motion System

作　　者：黄必飞 冯志敏[1] 张刚[1] 李宏伟 

机构地区：[1]宁波大学海运学院,浙江宁波315211 [2]宁波杉工结构监测与控制工程中心有限公司,浙江宁波315100

出　　处：《传感技术学报》2016年第6期941-946,共6页Chinese Journal of Sensors and Actuators

基　　金：浙江省科技计划项目(2013C31045);浙江省科技创新团队项目(2013TD21)

摘　　要：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。A vehicle weigh-in-motion system based on piezo-film sensors is used,which has been tested by threekinds of vehicles at different ambient temperature and speed. The singular spectrum algorithm is adopted to reducethe noise in testing axle-load signal. A novel reconstructed order selecting method is presented,which simplifies thejudgment criteria for singular spectrum algorithm. The impact of ambient temperature and speed on weighing resultis 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 weighin-motion system meets the practical application requirement at speed within 50 km/h and the average error lessthan 5%,justifying the validity of the proposed SSA algorithm.

关 键 词：压电薄膜 动态称重 SSA算法 双传感器 车重计算 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] U445[自动化与计算机技术—控制科学与工程]