基于二叉树SVM的动态称重系统作弊检测的研究

Research of cheating detection for dynamic weighing system based on binary tree SVM

针对我国汽车驶过动态汽车衡时的作弊行为,提出了一种基于二叉树SVM的动态称重系统作弊检测方法。该文介绍了公路动态称重系统和动态称重系统的作弊情况及现有的动态称重防作弊技术,对具有良好多分类特性的二叉树SVM方法在动态称重系统防作弊检测中的应用进行了详细描述。以1129型六轴车型为例进行了仿真试验,得到的分类结果符合要求,同时也能精确地对作弊情况进行区分,因此基于二叉树SVM的作弊检测的方法在动态称重系统中进行作弊检测的应用是可行的。

In view of the cheating behavior of a car drove by dynamic truck scale,this paper presents a method of detecting cheating based on binary tree SVM in a dynamic weighing system.This paper introduces the cheating case of dynamic weighing systems in the highway and other places and describes the existing technology of detecting cheating in the dynamic weighing system.This paper detailed describes the application of binary tree SVM methods with better multi-classification features for detecting cheating in the dynamic weighing system.This paper takes six axle vehicle of type 1129 as an example for simulation test.The classification results meet the requirements,as well as also can accurately distinguish between the cheating situations,so it is feasible the application of cheating detection method based on binary tree SVM to detect the cheating in the dynamic weighing system.