基于数据融合的动态称重传感器布局研究  

Research of Weigh-in-motion Sensor Layout Based on Data Fusion

作　　者：王翥[1] 侯甲童[1] 

机构地区：[1]哈尔滨工业大学(威海)信息科学与工程学院,山东威海264209

出　　处：《仪表技术与传感器》2009年第6期107-110,共4页Instrument Technique and Sensor

基　　金：山东省自然科学基金(Y2005G02)

摘　　要：动态称重是汽车在高速路行驶中获取汽车真实重量的有效方法,文中介绍了压电传感器的原理以及简化的动态称重模型。在使用压电传感器的基础上应用数据融合的方法,对传感器进行合理布置,用Gass-newton法来求动态轴重信号模型,得到更接近真实轴重的值。在不同初始相位下,对不同速度时的误差进行仿真,结果显示该方法精度较高。Weigh-in-motion （WIM） is a better way that can gain the true weight of vehicle which is moving on the highway at a high speed. The principle of piezoelectric sensor was introduced, and the WIM signal model was simplified. The application of data fusion approach was used on the basis of piezoelectric sensors, and the proper redistribution of sensors was used to gain the WIM model, then the expected value which was closer to the true axle load can be gained by the Gass-newton method. The simulation of different speed errors when the initial phases are different according to a layout shows that the accuracy is adequate.

关 键 词：动态称重 压电传感器 数据融合 动态称重模型 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]