基于PLC控制器的医院网络通信故障自适应监控系统

Hospital Network Communication Fault Adaptive Monitoring System Based on PLC Controller

传统的医院网络通信故障监控系统未对故障警报信息进行分类,通信故障点定位不准确。为此,提出基于PLC控制器的医院网络通信故障自适应监控系统。采用BP网络对医院网络通信故障警报信息分类处理,通过人工神经网络对医院网络通信故障数据进行训练,依据BP神经网络计算动量项、速率以及抽象处理等不同的数据训练结果,对故障点定位分析。构建以UPnP技术为核心设计系统网络构架,为系统提供有力的实时数据支持,实现大数据量的远程实时在线监测。结果表明,所设计系统监控故障监控时延较短,能够实现故障精准定位,能够快速发现故障并及时报警。

The traditional hospital network communication fault monitoring system does not classify the fault alarm information,and the location of communication fault point is not accurate.Therefore,an adaptive monitoring system of hospital network communication fault based on PLC controller is proposed.It uses BP network to classify and process hospital network communication fault alarm information.According to the training results of momentum term,rate and abstract processing of BP neural network,the fault location is analyzed.The system network architecture is designed with UPnP technology as the core to provide powerful real-time data support for the system,and realize remote real-time online monitoring of large amount of data.The results show that the designed system has short fault monitoring delay,can achieve accurate fault location,and can quickly detect faults and timely alarm.