Design Of Remote Monitoring And Fault Diagnosis System For Marine Intelligent Power Station

The future ship power station automation system needs to meet the requirements of the concept of intelligent ships,realize the data exchange between ship and shore,and how to use artificial intelligence algorithms to determine the fault type based on the status data of the ship power station,which has become a hot spot in the intelligent research of ship power stations.In view of these two situations,combined with the mature Internet of Things monitoring technology on land,this paper selects the manual training power station of the Marine Electrical Equipment Laboratory of Dalian Maritime University as the research object,and designs a set of remote monitoring and control of the ship’s smart power station through the Internet of Things.Fault diagnosis system.Complete the overall construction of the remote monitoring and fault diagnosis system for the ship’s intelligent power station.After the system function debugging,the design system in this paper effectively realized the requirements of remote monitoring and fault diagnosis of the ship power station,and completed the expected design goals.The main research contents are following:(1)Based on the analysis of the principle of automatic control of the ship power station,by adding various sensors to the detection circuit of the experimental power station,the PLC controller reads and processes the information collected by the sensor,and designs the control hardware circuit to complete the automatic control box of the ship’s smart power station.Development.(2)A remote data communication architecture of ship smart power station based on Internet of Things technology is proposed.Use the cloud platform to connect the local ship power station server to the remote monitoring client network,use Lab VIEW to build the local server and remote client platform,and connect the Internet of Things cloud to the ship-shore monitoring platform to realize the ship-shore thing.The construction of the networked architecture finally achieves the purpose of real-time monitoring of ship power stations.(3)Research on fault diagnosis method of ship power station based on neural network algorithm.It is proposed to use BP neural network and GA-BP neural network to construct a fault diagnosis model of ship power station.The realization of simulation proves that GA-BP neural network is more accurate and faster than BP network.Using the combination of Lab VIEW and MATLAB,the two algorithm models are embedded in the remote client,the abnormal data is remotely transmitted to the fault diagnosis model,and finally the fault type and troubleshooting suggestions are obtained.