Remote Control of Ships Based on Twin Vision

Abstract

In this paper, a ship remote control system based on twin vision is proposed from the perspective of ship control under three-dimensional environment. The system loads the global image data and 3D models information of Google map through Cesium system. To quickly load the 3D models information, the system adopts 5G network to receive and send the data, and continuously sends the data of the automatic identification system (AIS) installed on the ship to the remote-control terminal through 5G network. Cesium on the remote-control terminal according to the received information to carry out 3D rendering of the controlled ship and other ships, thus generating the twin vision of the controlled ship in real time. To achieve the purpose of fast remote control, the remote-control terminal sends control signals to the controlled ship through the 5G network. When the controlled ship receives the signals, it starts corresponding actions immediately. At this time, Cesium will draw the twin visual images of the controlled ship in real time according to the AIS data received by the remote-control terminal. The remote-control terminal continuously receives AIS data and sends ship control signals through 5G network, and the CESIUM system can complete the remote rapid control of the ship by drawing the twin visual images of the controlled ship in real time, which enables the remote controller to grasp the dynamic information of the ship in real time.