Generation and Application of Maritime Adaptive Kill Web Based on Graph

To address the problems of diverse types of maritime combat equipment, complex coordination and scheduling, and the inability of traditional combat plans and command to quickly adapt to the changing needs of the maritime battlefield, a research study on the generation of maritime adaptive kill chain based on graph models has been conducted. This method includes four key components: situation access and battlefield modeling, through real-time access and integration of multi-source battlefield situation information, a dynamic battlefield model is constructed; task decomposition and modeling, intelligent refinement of combat tasks and optimization of resource allocation to ensure task executability and collaborative combat capabilities; kill chain generation, utilizing the equipment organization and communication relationships in the graph database, the optimal equipment combination scheme is generated; kill chain optimization and dynamic adjustment, under multi-objective constraints, the kill chain configuration is optimized to quickly adapt to battlefield changes and provide the optimal combat plan. Finally, the generation of a kill chain for a maritime anti-missile scenario is used as an example for experimental verification. The results show that this method solves the problems of real-time access and integration of battlefield situation information, dynamic decomposition and modeling of complex tasks, collaborative optimization of equipment and multi-objective balance, as well as rapid dynamic adjustment and real-time synchronization, thereby enhancing the overall efficiency and response capability of modern maritime operations.