称重运动系统中的信息融合

R. Sroka, J. Gajda, P. Burnos, P. Piwowar
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引用次数: 5

摘要

动态秤允许车辆在运动中称重,因此被称为运动称重(WIM)秤。测量的目的是定量确定车辆的单个静轴载荷及其毛重。本工作描述了不同复杂程度的WIM系统中的融合过程:从最简单的(仅配备两个负载传感器)到最复杂的(包含多个不同物理量的传感器)。本文分析了在数据、属性和决策层面进行的协作和互补融合和融合的要素。它还处理了与WIM系统中传感器的选择及其数量、多传感器WIM系统中传感器的选择以及外部因素对称重结果的影响有关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information fusion in weigh in motion systems
Dynamic scales allow vehicles to be weighed in motion and are therefore termed Weigh In Motion (WIM) scales. The objective of measurement is the quantitative determination of the vehicle's individual static axle loads and its gross weight. This work provides a description of fusion process in WIM systems with different degrees of complexity: from the simplest, equipped with only two load sensors, to the most complex ones, comprising a plurality of sensors of various physical quantities. The paper presents an analysis of elements of cooperative and complementary fusion and fusion performed at the data, properties and decisions levels. It also deals with issues relating to the selection of sensors and their number in WIM systems, selection of sensors for Multi-Sensor WIM systems and effects of external factors on weighing results.
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