基于相依网络和SVM的管制系统运行态势评估

客观准确地评估管制系统整体的运行态势, 能够帮助管制员从宏观上掌控管制系统的运行状态, 针对这一问题本文提出了一种基于相依网络和支持向量机(support vector machine, SVM)的管制系统运行态势评估方法。使用管制-飞行状态相依网络模型来代表管制系统, 充分考虑了空中航空器与地面管制员的整体状态, 采用相依网络指标描述网络运行态势。评估方法选择SVM, 将运行态势评估问题转化为分类问题, 以点到运行顺畅分类边界的距离作为指标从整体上评估管制系统的运行态势, 降低了主观因素对评估方法的影响。仿真分析与在长水机场的实例分析结果均表明: 该评估方法能够给出具体的管制系统运行态势值, 为管制员提供客观准确的态势信息。

Operation situation assessment of control system based on interdependent network and SVM

An objective and accurate assessment of the overall operation situation of the control system can help the controller to control the operation state of the control system on the macro level.To solve the problem,an operation situation assessment method of control system based on the interdependent network and support vector machine(SVM)is proposed.The control-aircraft state interdependent network model is used to represent the control system,which fully considers the overall state of aircrafts and controllers.The interdependent network indicators are used to describe network operation situation.Choosing SVM as assessment method,the operation situation assessment problem is transformed into a classification problem.The distance from the point to the smooth operation classification boundary is used as an index to assess the operation situation of the control system,thus reducing the influence of subjective factors on the assessment method.The results of simulation analysis and an example analysis at Changshui Airport show that the assessment method can give specific operation situation values of the control system and provide objective and accurate situation information for the controllers.