Unmanned ship shortest time-of-flight route optimization method based on meteorological environment information

Abstract

The invention relates to an unmanned ship shortest time-of-flight route optimization method based on the meteorological environment information, and the method comprises the steps of S1, building an unmanned ship navigation stall matrix model according to the meteorological environment information; S2, according to the longitude and latitude values of a starting point and an end point of an unmanned ship route, acquiring a large circle route from the starting point to the end point and the longitude and latitude values of all route points on the large circle route; S3, adjusting the waypointson the large circle route according to the unmanned ship navigation stall matrix; and S4, judging whether the time consumption of the adjusted large circle route is less than the time consumption of the large circle route before adjustment or not, if yes, outputting the shortest time route, and if not, returning to the step S3 to continue to adjust the waypoint on the large circle route. Accordingto the method, the meteorological environment information is considered while the air route planning is carried out, the factors not beneficial to ship navigation are avoided on the premise that theship safety is guaranteed, the meteorological conditions beneficial to navigation are utilized to the maximum extent, the shortest navigation time of the unmanned ship is achieved, and the ship operation efficiency is improved.

Description

technical field [0001] The invention relates to unmanned ship route planning technology, in particular to an unmanned ship route optimization method with the shortest voyage time based on meteorological environment information. Background technique [0002] Unmanned ships navigating in the ocean will more or less encounter large wind and waves. In the global route planning of unmanned ships, avoiding areas with strong wind and waves is one of the important purposes of considering the impact of weather on routes. At present, the main content of research on the global route planning of unmanned ships is the shortest route algorithm, obstacle avoidance algorithm, etc. However, weather information and wind, wave and current factors that are not conducive to avoiding ship navigation are not considered, and weather conditions that are conducive to ship navigation are not maximized, and effective guarantees are not made for the economy and ecology of the route, which is not conduci...

AI Technical Summary

Problems solved by technology

At present, the main content of research on the global route planning of unmanned ships is the shortest route algorithm, obstacle avoidance algorithm, etc. However, it did not consider meteorological information and wind, wave and current factors that are not conducive to avoiding ship navigation. cost, reducing ship operating efficiency

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