|本期目录/Table of Contents|

[1]韩芝星,蔡晓龙.基于二叉树SVM的动态称重系统作弊检测的研究[J].工业仪表与自动化装置,2018,(01):82-85.[doi:1000-0682(2018)01-0000-00]
 HAN Zhixing,CAI Xiaolong.Research of cheating detection for dynamic weighing system based on binary tree SVM[J].Industrial Instrumentation & Automation,2018,(01):82-85.[doi:1000-0682(2018)01-0000-00]
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基于二叉树SVM的动态称重系统作弊检测的研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年01期
页码:
82-85
栏目:
出版日期:
2018-02-15

文章信息/Info

Title:
Research of cheating detection for dynamic weighing system based on binary tree SVM
作者:
韩芝星1蔡晓龙2
1. 山西职业技术学院 电气工程与自动化系,太原 030006;2. 国网山西省电力公司检修公司,太原 030032
Author(s):
HAN Zhixing1CAI Xiaolong2
1.Department of Electrical Engineering and Automation,Shanxi Vocational Ploy-Tech College,Taiyuan 030006,China;2. National Grid Maintenance Branch of Shanxi Province Electric Power Company,Taiyuan 030032,China
关键词:
作弊检测动态称重SVM二叉树
Keywords:
cheating detection dynamic weighing SVM binary tree
分类号:
TP18;TH715
DOI:
1000-0682(2018)01-0000-00
文献标志码:
A
摘要:
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及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,同时也能精确的对作弊情况进行区分,故该基于二叉树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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-10-26
作者简介:韩芝星(1987),女,山西介休人,硕士研究生,研究方向为智能仪表。
更新日期/Last Update: 2018-02-01