Research on the Contribution Rate of Shipboard Manned/Unmanned Aerial Vehicle Cooperative Operation Based on Wargame Data Mining

With the rapid development of shipboard Unmanned aerial vehicles (UAVs), they will become the new normal for future maritime battlefield utilization. Current paper focuses on the following theme: how to allocate manned/unmanned aerial vehicle combat tasks in time sequence under specific combat scenarios according to the capability characteristics of shipboard unmanned UAVs, how to harness the role of shipboard UAVs in the system in a better way, and this is analyzed through the contribution rate of manned/unmanned aerial vehicle cooperative combat system. Current paper outlines the shortcomings of the current system contribution rate: (1) Lack of cooperative relationship between equipment; (2) Lack of objectivity and dynamism in the assessment process; (3) Lack of direct application of assessment results. Therefore, the following highlights are proposed in this paper to make up for the existing shortcomings Firstly, it is proposed to construct the manned/unmanned aerial vehicle cooperative system through DoDAF construction system framework and dynamic simulation of the wargame to meet the requirements of objectivity and dynamism. Secondly, an data mining algorithm is proposed to mine a large number of simulation output results based on the improved data structure of orthogonal list to analyze the temporal correlation relationship between the cooperative system. Finally, it provides a more objective basis for the allocation of capability requirement indicators of shipboard UAV in the cooperative combat system to optimize the existing cooperative combat model.