This paper presents an intelligent polling strategy for collection of space TT&C (Tracking,Telemetry and Command) equipment status information in order to improve the real-time performance and efficiency of status monitoring and operation management of space TT&C systems.Following analysis of the limitations of fixed period polling and intelligent polling algorithms based on traditional Markov chain,an improved intelligent polling algorithm based on Markov chain is proposed.Making use of TRAP events of space TT&C equipment and MIB (Management Information Base) relationship model,the algorithm dynamically polls one part by another the relational variables in real-time and dynamically adjusts the intervals of polling.Experiment results show that,compared with fixed period polling and traditional intelligent polling based on Markov chain,the new algorithm achieves better balance between fidelity of data collection and use of network bandwidth.Moreover,it provides more details of variation of equipment status while using less network bandwidth.%为提高对航天测控系统设备状态监视和运行管理的实时性和效率,研究了航天测控设备状态采集轮询方法,分析了固定周期轮询算法和传统基于马尔可夫链的智能轮询算法的不足,提出了一种基于马尔可夫链的改进型智能轮询策略.该方法能根据航天测控设备TRAP(“陷阱”)事件和MIB(管理信息库)变量关系模型,实时动态地对关联变量进行局部轮询,并动态调整轮询间隔时间.通过实验对比表明,与固定周期轮询算法、传统马尔可夫链智能轮询算法相比,该算法在数据采集的真实度和网络带宽占用上取得了更好的平衡,更能实时反映出设备状态的变化细节,占用更小的网络带宽.
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