反导过程中,为解决用于TBM拦截效果评估的信息存在不完整、不准确的问题,提高评估的准确性、时效性,首先分析了影响TBM拦截效果评估的因素,提出了基于贝叶斯网络的TBM拦截效果评估方法,构建了基于贝叶斯网络TBM拦截效果评估模型,之后通过实例仿真分析,验证了模型在TBM拦截效果评估中的有效性和可行性。

In anti-TBM system, in order to solve the problem on TBM intercepting effect assessment based on insufficient and inaccurate message, and to improve assessment accuracy and timeliness, the factors affecting TBM intercepting effect assessment were analyzed firstly, and application of Bayesian networks to the assessment system was put forward, the TBM intercepting effect assessment model was built based on Bayesian networks, then the model was verified to have good validity and feasibility by stimulation and analysis on specific example.