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动态称重技术能够显著减少货车称重时间提高收费站通行能力,然而受其模型所限,对于变速运动或车轮静止于传感器上的车辆则无法准确进行测量。针对以上问题,以路面交互模型以及部分承载式动态称重模型为基础,提出了一种基于向量分割的部分承载动态称重模型。利用压电石英传感器结合该模型,以动态传感器稀疏阵列的形式构建了一种4排直列式动态称重系统。在哈同高速哈尔滨东收费站对系统进行了低温、定性与定量的测试。试验结果表明:该系统稳定性好,在-28℃状态下温度漂移仅为0.5‰,响应速度为0.2 s;在95%置信区间内,精确度为±3%以内,特别是能够解决动态称重中“二次起停”的问题。该系统能够为重载交通智能化管理提供一定的支持。
Dynamic weighing technology can significantly reduce the truck weighing time to improve toll station capacity, but its model limits, for variable speed movement or wheels are still on the sensor on the vehicle can not be accurately measured. In view of the above problems, based on the pavement interaction model and part of the load-bearing dynamic weighing model, a vector-based partial load bearing dynamic weighing model is proposed. Using the piezoelectric quartz sensor combined with the model, a 4-row in-line dynamic weighing system was constructed in the form of a dynamic sensor sparse array. Harbin high-speed toll station in Harbin East conducted a low-temperature, qualitative and quantitative test. The experimental results show that the system has good stability, the temperature drift is only 0.5 ‰ at -28 ℃, the response speed is 0.2 s, and the accuracy is within ± 3% within 95% confidence interval. In particular, Focus on the “second stop” issue. The system can provide some support for heavy traffic intelligent management.