为解决在复杂战场环境下察打无人机作战效能的有效评估问题, 结合无人机的作战使用过程, 分析了影响无人机作战效能的主要因素; 运用动态贝叶斯网络方法构建了无人机作战效能的评估模型, 并给出了变量属性等级和网络关键参数的计算方法。通过Netica工具对无人机的作战效能进行动态评估仿真, 验证了模型的有效性和可行性。动态贝叶斯网络模型为无人机的作战运用和装备研制改进提供了参考依据。

To address the issue of effective evaluation of Reconnaissance/Strike UAV(R/S UAV) combat effectiveness in complex battlefield environment,the main factors affecting the operational efficiency of the UAV are analyzed based on the UAV's operational process.A combat effectiveness evaluation model of R/S UAV is built by using the Dynamic Bayesian Network (DBN) method,and the calculation methods of the variable attribute level and the key parameters are given.The Netica tool is utilized to dynamically evaluate and simulate the combat effectiveness of the UAV,and the validity and feasibility of this model are proved.The model can serve as a reference for the combat operation and equipment development of the UAV.