Nowadays, the elevator has become an indispensable means of indoor transportation in people’s life, but in recent years this kind of traffic tools has caused many casualties because of the gate system fault. In order...Nowadays, the elevator has become an indispensable means of indoor transportation in people’s life, but in recent years this kind of traffic tools has caused many casualties because of the gate system fault. In order to ensure the safe and reliable operation of the elevator, the failure of elevator door system was predicted in this paper. Against the fault type of elevator door system: elevator door opened, excessive vibration when elevator door opened or closed, elevator door did not open or closed when reached the specified level. Three fault types were used as the output of the prediction model. There were 8 reasons for the failure, used them as input. A model based on particle swarm optimization (PSO) and BP neural network was established, using MATLAB to emulation;the results showed that: PSO-BP neural network algorithm was feasible in the fault prediction of the elevator door system.展开更多
探讨专家系统技术以及基于正向推理的RETE算法作为推理机的相关理论和方法,并将其应用到地铁安全门数据采集及监控系统SCADA(supervisory control and data acquisition)中.主要阐述如何对异常故障数据进行归类和对故障类型进行分类;对...探讨专家系统技术以及基于正向推理的RETE算法作为推理机的相关理论和方法,并将其应用到地铁安全门数据采集及监控系统SCADA(supervisory control and data acquisition)中.主要阐述如何对异常故障数据进行归类和对故障类型进行分类;对故障信息、维护信息和领域专家知识的搜集和整理,并形成专家知识库;采用多线程技术实现的知识库编辑系统,使得知识库和推理机完全分离且人机界面友好.实例分析表明,该系统具有辅助分析、处理的功能,可以提高工作效率.展开更多
文摘Nowadays, the elevator has become an indispensable means of indoor transportation in people’s life, but in recent years this kind of traffic tools has caused many casualties because of the gate system fault. In order to ensure the safe and reliable operation of the elevator, the failure of elevator door system was predicted in this paper. Against the fault type of elevator door system: elevator door opened, excessive vibration when elevator door opened or closed, elevator door did not open or closed when reached the specified level. Three fault types were used as the output of the prediction model. There were 8 reasons for the failure, used them as input. A model based on particle swarm optimization (PSO) and BP neural network was established, using MATLAB to emulation;the results showed that: PSO-BP neural network algorithm was feasible in the fault prediction of the elevator door system.
文摘探讨专家系统技术以及基于正向推理的RETE算法作为推理机的相关理论和方法,并将其应用到地铁安全门数据采集及监控系统SCADA(supervisory control and data acquisition)中.主要阐述如何对异常故障数据进行归类和对故障类型进行分类;对故障信息、维护信息和领域专家知识的搜集和整理,并形成专家知识库;采用多线程技术实现的知识库编辑系统,使得知识库和推理机完全分离且人机界面友好.实例分析表明,该系统具有辅助分析、处理的功能,可以提高工作效率.
