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车站信号控制设备的故障诊断在传统模式下都是依靠人工来进行检测和维修的,这种方式具有着一定的延时性,只能在故障发生后进行紧急抢修排查才能真正确定故障发生的位置,这种方式无论是在时效方面还是在准确性方面都有着一定的局限性。随着科技的几部陈展信号控制设备的故障诊断也逐渐与人工智能融合形成了车站信号控制设备故障诊断专家系统,通过这一系统可以在故障发生的第一时间准确找到故障的发生点从而确保故障能够在第一时间被解决,但是对于我国而言车站信号控制设备故障诊断专家系统还并不成熟,想要真正对其应用还需要对其进行深入的研究。
Station signal control equipment fault diagnosis in the traditional model are all rely on to carry out testing and maintenance, this approach has a certain delay, only after the emergency repair emergency troubleshooting can really determine the location of the fault , This method has some limitations in terms of timeliness and accuracy. With several Chen Zhan signal control equipment, fault diagnosis of the equipment also gradually merged with artificial intelligence to form a station signal control equipment fault diagnosis expert system. Through this system, the fault occurrence point can be found accurately at the first time of the fault occurrence To ensure that the fault can be solved in the first time, but for our country station signal control equipment fault diagnosis expert system is not yet mature, you want to really need its application also need to conduct an in-depth study.