夜间视觉变弱状况对搜救成功率影响模型仿真

Night Vision Weaker Condition Effect on Search and Rescue Success Rate of Model Simulation

夜间视觉变弱条件下对搜救成功率与外部环境的关系建模在搜救领域至关重要。搜救成功率与夜间视觉变弱之间产生了复杂的关联。上述关联由于外界环境、自身条件的不同,存在很强的非线性、突变性、和高维特性。传统的关联模型,只能通过简单的多线性关系叠加描述两者关系,缺少精确的约束,前提条件过多,描述效果不好。提出基于约束模糊聚类算法的夜间视觉变弱对搜救成功率的影响的建模方法。获取搜救成功训练中夜间视觉变弱模糊聚类的目标函数,针对上述目标函数进行最小化变换,计算不同夜间视觉变弱因素的权重和对应的置信度,建立夜间视觉变弱对搜救成功率的影响模型。实验结果表明,利用改进算法进行构建夜间视觉变弱对搜救成功率的影响模型,能够获取不同的夜间视觉变弱对搜救成功率的影响,提高夜间搜救人员搜救的成功率。

A modeling method for the effect of weak night vision on the rescue success rate is proposed based on fuzzy clustering algorithm. The fuzzy clustering objective function of weak night vision in training of successful rescue is obtained,according to the objective function to minimize the transformation,the weights of different factors for weak night vision and corresponding confidence level are calculated,so as to set up model for the influence of weak night vision on the rescue success rate. Experimental results show that the improved algorithmcan get the influence of different weak night vision on rescue success rate and improve the rescue success rate at night.