647 results about "Marine currents" patented technology

The invention discloses a predication method of a maritime searching and rescuing target drifting path. A maritime searching and rescuing model is constructed based on an ocean dynamic environment field numerical forecasting technique of ocean surface wind, ocean current, ocean waves and the like to forecast a drifting path of overboard personnel in danger and maritime wrecked ships to give information including positions of a searching and rescuing target of all moment, searching and rescuing radiuses of different possibilities and the like, so that a searching and rescuing commander can give the optimal manner for rescuing in the field in the shortest time and the searching and rescuing movement is safely and rapidly carried out. The predication method specifically comprises the steps: collecting historical weather data; utilizing an atmosphere model to calculate to obtain a wind field of a sea area on the periphery of a maritime dangerous accident happening place; obtaining field wind real-time observation data of the sea area on the periphery of the dangerous accident happening place; carrying out data assimilation on the field wind observation data; adopting an ocean wave numerical value model to forecast a wave field of the sea area on the periphery of the dangerous accident happening place; utilizing the ocean wave numerical value model to forecast a three-dimensional flow field containing wind driven current and tidal current and realize the predication of a dynamic drifting track of the maritime personnel or ships in danger; and directly displaying a predicated value of the searching and rescuing target drifting path.

The invention belongs to the field of underwater robot control, and discloses a method for planning paths on the basis of ocean current prediction models. The method includes steps of carrying out rasterization processing on sailing regions according to path critical points; predicting ocean current for the sailing regions by the aid of regional ocean modes and acquiring real-time ocean current information by means of fitting computation; marking prohibited areas by the aid of electronic ocean map information; storing prohibition information of different depths and starting point and end pointlocation information according to plain grids at different depths, and storing longitudes and latitudes of various points of the grids, whether the points are the prohibited areas or not and whetherend points are reached or not; computing the directions from current locations to the end points and determining optional actions in travel directions at all next steps; seeking the optimal strategiesby the aid of Q-learning and outputting the paths. The optimal strategies are planned in Markov decision-making processes. The method has the advantages that influence of the real-time ocean currenton path planning is sufficiently considered, fitting is carried out by the aid of BP (back propagation) neural networks and bagging algorithms, the optimal solution can be sought by means of reinforcement learning, accordingly, the convergence speeds can be increased, and the computational complexity can be lowered.