基于PVDF传感器的车辆动态称质量系统算法分析及应用
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U46

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国家自然科学基金资助项目(51478252)。


Research and application of vehicle dynamic weighing system algorithm based on PVDF sensor
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    摘要:

    为有效管理车辆超限超载,并为道路设计规划提供数据支撑,基于聚偏二氟乙烯(PVDF)传感器提出一种适应高速公路动态称质量系统。针对压电膜传感器信号设计了电荷放大电路、单片机信号采集电路和SD卡存储电路等,提出用滑动平均滤波算法进一步处理采样信号,并对软件系统的设计流程进行了分析。为验证数据处理方案的准确性,进行了室外场地模拟试验,又进一步进行道路现场试验获取车辆载荷谱数据,通过对数据的分析得到此路段实际交通量的结构组成。试验结果表明,设计的称质量系统能够满足动态称质量的精度要求,具有较高的实际应用价值。

    Abstract:

    In order to effectively manage overload and provide data support for road design and planning, a dynamic weighing system for expressway based on PVDF sensor is proposed. Aiming at PVDF sensor signal, charge amplifier circuit, SCM signal acquisition circuit and SD card storage circuit are designed. The sliding average filtering algorithm is proposed to further process the sampling signal, and the design process of the software system is analyzed. In order to verify the accuracy of the data processing scheme, outdoor site simulation tests were carried out. Furthermore, the data of vehicle load spectrum are obtained by field test, and the structure of the actual traffic volume is obtained by analyzing the data. The test results show that the weighing system can meet the accuracy requirement of dynamic weighing and has high practical application value.

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王豪,纪少波,韩文扬,韦金城,李萌,赵同军,葛智.基于PVDF传感器的车辆动态称质量系统算法分析及应用[J].重庆大学学报,2019,42(4):9-16.

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  • 收稿日期:2018-11-04
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  • 在线发布日期: 2019-04-23
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