Encounter space-time prediction method and system for non-tracking sailing ships in sea area

Abstract

The invention relates to an encounter space-time prediction method for non-tracking sailing ships in a sea area, and the method comprises the steps: carrying out the fitting of a past motion track curve through a quadratic function, and obtaining a future motion track curve of a target ship; fitting the three groups of coordinates by using a quadratic function to obtain three future movement track curves about the hull, the bow and the stern of the to-be-encountered ship; the method comprises the following steps: simulating a target ship and a to-be-encountered ship to sail along respective future movement track curves at the current navigational speed and course at the same time, and recording the nearest distance between the bow of the target ship and the bow of the to-be-encountered ship, the nearest distance between the stern of the target ship and the stern of the to-be-encountered ship and respective sailing time in real time; the minimum value of the two nearest distances is taken as the nearest distance of meeting of the two ships, at the moment, the coordinates of the two ships on the respective future movement track curves are the meeting places of the two ships, and the sailing time is the meeting time. The method has the advantage that the meeting site and time of the ship can be predicted without knowing the ship route information in advance.

Description

technical field [0001] The present invention relates to the technical field of ship intelligent navigation, in particular to a method and system for meeting time and space prediction for non-tracking ships in sea areas. Background technique [0002] In recent years, thanks to the rapid development of artificial intelligence theory, the intelligence level of vehicles such as cars and ships that are closely related to people's lives has been continuously improved. In the field of water transportation, ship intelligence not only assists the ship's captains, sailors and other onboard staff to control the ship and reduce work pressure, but also provides an efficient and safe working environment; for maritime law enforcement departments, ship intelligence It reduces the occurrence of water transportation accidents, improves the efficiency of law enforcement, and provides a guarantee for safe water transportation. In the ship intelligent algorithm, the method of predicting the tim...

AI Technical Summary

Problems solved by technology

[0003] The invention patent of the prior art patent No. CN111897326A proposes a method for determining the timing of collision avoidance of autonomous ships based on tracking navigation. The invention patent proposes a method and device for determining the collision risk category of the meeting ship based on the K-nearest neighbor algorithm. Its disadvantage is that it can only determine the collision risk category of the meeting ship, and cannot predict the meeting place and time of the meeting ship; the patent number is The invention patent of CN112885151A proposes a ship collision risk early warning method that combines geometric analysis and data mining. Its disadvantage is that it can only give the collision risk value, and cannot predict the location and time of the collision.

Images