交通信号系统电源故障预测的远程通信诊断方法  

Remote Communication Diagnosis Method for Predicting Power Failures in Traffic Signal Systems

作　　者：阮书桥 王华[1] RUAN Shuqiao;WANG Hua(Jiangsu Runyang Bridge Development Co.,Ltd.,Zhenjiang,Jiangsu 212115,China)

机构地区：[1]江苏润扬大桥发展有限责任公司,江苏镇江212115

出　　处：《移动信息》2025年第3期321-323,共3页Mobile Information

摘　　要：在现代城市交通体系中,交通信号控制装置具有不可或缺的作用,它负责指挥交通,确保道路安全,提高交通效率。电源故障是信号控制系统中的常见问题,不仅会导致信号灯失灵,还可能引发交通混乱及事故,影响城市交通的顺畅性。文中提出了一种远程通信诊断方法,首先概述了电源故障问题及故障预测的关键技术,随后设计了一种基于循环神经网络(RNN)与数据分析的故障预测算法,并对其未来发展进行了展望。In modern urban transportation systems,traffic signal control devices play an indispensable role in directing traffic,ensuring road safety,and improving traffic efficiency.Power failure is a common problem in signal control systems,which can not only cause signal lights to malfunction,but also lead to traffic chaos and accidents,affecting the smoothness of urban traffic.A remote communication diagnosis method is proposed in the paper.Firstly,the key technologies for power failure and fault prediction are outlined.Then,a fault prediction algorithm based on recurrent neural network(RNN)and data analysis is designed,and its future development is discussed.

关 键 词：交通信号系统 电源故障预测 远程通信诊断 

分 类 号：TN91[电子电信—通信与信息系统]