National Deep Sea Center

Qingdao National Laboratory for Marine Science and Technology Development Center

Technology Development Center

Haibing Li

Tongwei Zhang

Lei Yang

Lei Yan

Xiujun Sun

Jingxiao Liu

Shengjie Qin

Shuai Zhang

Guangjie Han

Xianglin Xu

The invention relates to a method and system for path planning of a wave glider, comprising acquiring historical navigation data of the glider and an underwater vehicle via a shore-based monitoring center; fitting historical navigation data nonlinearly by a deep learning neural network to obtain a trained network; acquiring real-time navigation data of the glider at an off-line end, real-time navigation data and predetermined shipping track data of the vehicle; obtaining the set of off-line optimized path planning schemes of the glider by the above data and the trained network; and determining an optimal path planning scheme of the glider by the deep learning neural network according to real-time data and constraint data of the glider at the on-line end. The invention can reasonably plan the path of the glider and ensure continuous and reliable information interaction between the glider and the vehicle.

Method and system for path planning of wave glider

A deep-sea low-cost long-endurance collaborative navigation and positioning system. A shore-based monitoring center transmits a route planning solution to a wave glider. The wave glider follows an underwater vehicle to travel and feeds back state information of the wave glider and state information of the underwater vehicle to the shore-based monitoring center in real time. The shore-based monitoring center adjusts the route planning solution according to the state information in real time. The wave glider and the underwater vehicle are respectively equipped with an underwater acoustic communication machine. The wave glider obtains self location and time information through a satellite and transmits the location and time information to the underwater vehicle in an underwater acoustic communication manner, then the underwater vehicle calculates a horizontal distance between the underwater vehicle and the wave glider to assist a microelectromechanical system (MEMS) sensor of the underwater vehicle in navigation and positioning.

Deep-sea low-cost long-endurance collaborative navigation and positioning system

Growing community of inventors

Qingdao, China

Haibing Li