Ship Fuel Consumption Monitoring System And Its Engineering Application Research

In recent years,with the development of network communication technology and embedded technology,the remote monitoring of ships and the management of ship fuel consumption have received extensive attention and research.The traditional fuel consumption monitoring methods are difficult to satisfy the growing management needs of the shipping industry due to problems such as large statistical errors and delayed information feedback,etc.In order to achieve the energy management,equipment condition monitoring and navigation analysis better,a ship fuel consumption monitoring system based on the Internet of Things(IoT)is designed in this paper,which makes the ship energy efficiency management system more precise,intelligent and networked.Firstly,the progresses and current state of research about ship monitoring technology are introduced.In view of the anomalous events during the navigation of the ship,the instantaneous fuel consumption index of the ship is proposed.Then,various factors affecting the fuel consumption of the ship are determined and the optimal ship fuel consumption scheduling model is constructed according to the relationship among ship engine propeller matching system.Then,a parameter data acquisition system for ship oil-machine-environment with adaptive function which based on ZigBee wireless sensor network and Beidou wireless communication technology is designed.It can automatically optimize and adjust the monitored network and realized the combination of data transfer between the IoT and maritime communication network.Then the software of fuel consumption monitoring platform is designed.The main work includes server-side code construction,function planning and module implementation based on Django web technology.Furthermore,the collected fuel consumption data are analyzed and cleaned.And the three-fitting model is used to identify environment factors which are closely related to the fuel consumption of the ship.Then we train these important navigation factors by artificial neural network and grasp the potential correlation between navigation factors and fuel consumption changes.In this way,it is possible to better grasp the law of ship fuel consumption and provide reference and guides for ship operators,and formulate a more reasonable navigation plan to achieve the purpose of energy conservation and emission reduction.The final practice analysis result shows that the fuel consumption monitoring platform can operate stably and provide remote monitoring of ship fuel consumption for users and managers,which has practical application value.