中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2018, Vol. 37 ›› Issue (07): 76-79.DOI: 10.3969/j.issn.1674-0696.2018.07.13

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Research on Fault Location Method of ITS

LIU Zunmin1, LIU Qingyuan2, QU Dayi1, CHEN Xiufeng1,3   

  1. (1.School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, Shandong, P. R. China; 2. Shandong Provincial Communications Planning and Design Institute, Jinan 250001, Shandong, P. R. China; 3.Qingdao Hisense Transtech Co., Ltd., Qingdao 266071, Shandong, P. R. China)
  • Received:2017-01-31 Revised:2017-06-05 Online:2018-07-09 Published:2018-07-09

智能交通系统中故障精确定位方法研究

刘尊民1,刘庆元2,曲大义1,陈秀锋1,3   

  1. (1.青岛理工大学 机械与汽车工程学院,山东 青岛 266520; 2. 山东省交通规划设计院,山东 济南 250001; 3. 青岛海信网络科技股份有限公司,山东 青岛 266071)
  • 作者简介:刘尊民(1980—),男,山东莱芜人,副教授,博士生,主要从事工业过程控制及ITS技术方面的研究。E-mail:liu_zunmin@163.com。 通信作者:曲大义(1973—),男,山东即墨人,教授,博士,主要从事智能交通系统方面的研究。E-mail:dyqu@263.net。
  • 基金资助:
    国家自然科学基金项目(51678320);山东省重点研发计划项目(2016ZDJS03B01)

Abstract: In order to solve the problem of high false alarm rates and large workloads in the operation and maintenance management system of ITS, an accurate fault location method based on double link was proposed. A new adaptive threshold method was used to pre-judge the fault of the system, and if this threshold was exceeded, a failure diagnosis procedure was started. By developing network link threads and data-adapter link threads, multi-dimensional diagnoses for the hardware and software system can be made to retreive precise locations of faults in ITS. This method was applied in the intelligent traffic operation and maintenance project, and the results show that this method has high accuracy, a low false alarm rate, less manual participation, and meets the application requirements.

Key words: traffic and transportation engineering, fault diagnosis, fault location, ITS

摘要: 针对目前智能交通运维系统中故障诊断误报率高,人工排查工作量大的问题,提出了一种基于双层链路的故障精确定位方法。根据设备历史数据采集频率特征,自动计算时间间隔阈值,并判断是否已超过故障阈值,超过后启动故障诊断程序。通过开辟针对网络链路与数据链路的监测线程,对硬件及软件接口进行多维度诊断处理,实现智能交通系统中故障状态的精准定位。该方法已在智能交通运维项目中应用,结果表明该方法精度高、误报率低、人工参与少,满足应用要求。

关键词: 交通运输工程, 故障诊断, 故障定位, 智能交通

CLC Number: