The First Domestic Self-developed RoboBoat Yacht Sets Sail with Advanced Features
TapTechNews August 7th news, the first RoboBoat new energy intelligent driving yacht for sea fishing independently developed in China (Zhoushan standard, hereinafter referred to as RoboBoat) set sail in Putuo District, Zhoushan City on the morning of August 6th.
This yacht can provide gasoline and methanol dual fuel options to achieve energy conservation and carbon reduction. If the self-developed new modified methanol green energy system is selected, it is equivalent to being able to replace 1 pound of gasoline with 1.3 to 1.4 pounds of methanol, saving more than 40% of the comprehensive cost, reducing carbon emissions by 75%, nitrogen emissions by 15%, and sulfur and particulate emissions by 99%.
In terms of materials, the hull is filled with graphene lightweight foaming material, which can still maintain a certain floating state and stability after the ship is damaged and flooded. It is a high-security sea fishing boat with a sinking probability approaching zero, and has the advantages of flame retardancy, non-absorbency, and odor prevention.
The display screen in the RoboBoat cockpit integrates data of many key systems such as positioning, AIS (TapTechNews note: Automatic Identification System for Ships), radar, nautical chart, sounding, rudder angle, main engine, liquid level, navigation lights, whistle, distribution box, etc. The driver does not need to distract attention to view multiple devices or meters. Just through this integrated display screen, the ship's navigation status, surrounding environment, and working conditions of various systems can be mastered.
Through a large amount of sea driving data feeding and training, the AI system carried by the yacht currently has functions such as directional navigation and unmanned driving, and can also realize the automatic collision avoidance of the ship. After the collision avoidance, it can automatically return to the mission route, reducing the risk caused by human operation errors.