Research on Task Allocation of Multi Aircraft Maritime Autonomous Patrol Based on Slime Mold Algorithm

To address the problems of limited scope and unstable monitoring effects of traditional maritime patrol monitoring methods this article proposes a multi aircraft autonomous maritime patrol scheme. Faced with the problem of limited speed of patrol ships, the traditional patrol method relying mainly on patrol ships is transformed into relying mainly on patrol aircraft. In the face of the low recognition rate of traditional visual observation, an autonomous suspicious target recognition and tracking based on image automatic recognition technology is adopted. In response to the above patrol plan, in order to minimize the time required for maritime patrols, this paper first analyzed and modeled the task allocation problem for multi aircraft autonomous maritime patrols, and solved the task allocation problem using the slime mold algorithm. Finally, the feasibility of the algorithm was verified through simulation. This method can reduce the labor cost in maritime patrol task allocation and real-time monitoring, and improve the task execution speed and abnormal situation recognition efficiency of maritime patrols.