Ship dynamic intelligent rout optimization method Considering terrible weather conditions

Abstract:
Adverse weather conditions at sea have serious harm to the economic benefits of ship transportation and even the personal safety of personnel on board. In order to effectively avoid adverse weather sea areas and reduce ship fuel consumption as much as possible, based on C algorithm, combined with dynamic modeling and navigation assistance software, and considering the impact of emergencies, an optimized route to avoid bad weather and sea conditions is planned. The feasibility test results show that the dynamic intelligent route optimization method adopted in this paper can effectively reduce the fuel consumption required by ships in bad weather, and can reasonably avoid dangerous meteorological sea areas, which is of great significance to the optimization of meteorological routes.