During air combat ,the threat level assessment of the enemy's air targets to our military can help commander to make decisions ,but in the process of the war ,information has a high degree of uncertainty .Bayesian Networks has the advantages of dealing with the uncertain and complex issue ,in this paper ,Dynamic Bayesian Networks are combined with threat assessment model to establish a model which is used for assessmenting threat level .The software Netica that can infer Bayesian Networks on the network model is used to have a experiment ,the results show that the model based on Dynamic Bayesian Networks can effectively assessment the threat level of air combat targets to our army .%空战过程中，敌方空军目标对我军的威胁等级评估可以帮助指挥员进行决策，而战争过程中，信息具有高度不确定性。贝叶斯网络具有处理不确定复杂问题的优点，论文将动态贝叶斯网络与威胁评估模型相结合，建立了用于评估威胁等级的模型。利用贝叶斯网络推理软件 Netica 在该网络模型上进行实验，实验结果表明基于动态贝叶斯网络的模型能有效地对空战中目标对我军的威胁等级进行评估。
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