Navigation Assistant Display System Of Coastal Ships Based On Cloud Computing

With the increasing number of equipment on modern ships,the problems such as the increasingly complex navigation system,the independence of each equipment,the tedious operation and the difficulty of information sharing become more and more serious.It is necessary to develop the navigation auxiliary display system.It can provide simple and necessary data for the navigation status of the ship for the driver,and facilitate the crew to observe the situation around the ship.Therefore,it is of great theoretical significance and engineering application value to study the navigation assistant display system of offshore ships.The main research work of this paper includes:1.Design the overall framework of the navigation auxiliary display system of offshore ships,shoot the real ship navigation scene through the camera on the ship,and collect the navigation data of the ship by using CAN bus and single chip microcomputer technology.2.The Darknet network model based on the deep learning framework is studied,and the ship recognition in the video image is realized by using the yolov3 algorithm.This method improves the basic classification network structure and the two classification prediction method in the traditional deep learning,reads the video stream information of the camera on the ship through COM,processes the image of each frame,and sends the ship position mark on the image to the navigation assistant display system for display.3.Develop the relevant software of visual ship navigation assistant display system,and overlay the ship navigation attitude and AIS data information into the navigation video environment.On this basis,this paper develops an auxiliary display system for offshore ship navigation based on cloud computing,which mainly includes ship navigation information reading module,ship identification module,information display module and cloud computing management module.The ship navigation information reading module adopts the bus technology and single chip microcomputer to collect the data of each sensor on the ship.The ship identification module is responsible for processing the real-time video data taken when the ship is sailing,and identifying the object in the video.Using augmented reality(AR)technology,the navigation information display module can display the navigation data information and the actual navigation video interactively.The cloud computing management module is responsible for managing the browser client to access the ship navigation status,and using socket server API to realize websocket communication.The system provides simple data of the ship's navigation status,which is convenient for the crew to observe the situation around the ship,and reduces the adverse impact on the ship's drivers due to the redundancy of the ship's instrument data.It can be used at both the ship end and the shore end,which is convenient for remote monitoring and management of the ship.The work of this paper is beneficial to the navigation safety of the ship,and also lays the foundation for the research of the auxiliary driving system of the intelligent ship.