WIM Optimization Algorithm Based on Euler-Bernoulli Beam Model
The non-stop weighting mode of heavy vehicles is a method that can significantly improve the capacity of toll stations.However,due to its model,the existing dynamic weighing technology(WIM)cannot guarantee the weighing accuracy when heavy vehicles are driving at high speed.Aiming at the above problems,a piezoelectric quartz load cell is used,combined with parameter estimation experiment and nonlinear fitting algorithm,an optimization algorithm based on Euler-Bernoulli beam model is proposed.The system was tested based on the Ha Tong Expressway East Toll Station.The results show that within the 95%confidence interval,the average deviation between the dynamic weighing result and the static measurement is 1.99%,and the corrected average deviation is 1.78%,both of which are in line with the Class 2,Level 2 standard specified in the national JJG907-2006.The weighing accuracy is not related to the linearity of the vehicle speed.This indicates that the dynamic weighing system constructed by the proposed algorithm has high precision and strong robustness and can accurately measure the vehicle weight under the condition of vehicle shifting motion.The system can effectively solve the congestion problem of highway toll stations,reduce the queuing time,and provide a certain theoretical basis for the realization of the truck non-stop weighting and charging system.
smart transportation Euler-Bernoulli beam model Dynamic weighing Parameter Estimation Nonlinear fitting algorithm
Li Hao Zhang Yunliang
Xian Key Laboratory of IOT Engineering,Xian University,Xian,710065,China;Shaanxi Key Laboratory of Surface Engineering and Remanufacturing,Xian University,Xian,710065,China
国际会议
重庆
英文
430-436
2019-05-30（万方平台首次上网日期，不代表论文的发表时间）