民航旅客服务信息系统可靠性评估方法研究

发布时间：2018-03-10 18:45

本文选题：民航旅客服务信息系统　切入点：可靠性评估　出处：《中国民航大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着民航旅客服务信息系统的日益飞速发展,系统的规模越来越复杂,如何准确地评估系统的可靠性,保证系统的正常运行,是一个迫切的任务。民航旅客服务信息系统的众多应用子系统累积了大量的监控数据,但这些数据存在的信息冗余、虚警性、数据不完整等问题,严重影响了系统可靠性评估的精度。针对这一问题,本文提出了一种基于滑动时间窗口的故障数据匹配算法。首先将监控数据结构化处理并按报警时间顺序生成报警时间序列;确定时间窗口的宽度和滑动步长;然后清洗每个时间窗口的数据,保留报警关键信息,生成报警数据;进一步压缩时间窗口内的报警数据以形成报警数据;最后将故障数据适配为可靠性数据。为了定量评估民航旅客服务信息系统的可靠性,将基于滑动时间窗口的故障数据匹配算法应用于故障时间间隔模型和故障计数模型,融入这两类模型的代表模型J-M和G-O模型,分别从故障间隔和故障个数两个角度评估系统的可靠性。考虑到J-M模型和G-O模型本身固有的缺点,本文提出了一种结合Bayes估计的NHPP模型,使用Bayes估计的先验知识修正NHPP模型,减少模型评估误差、更加准确地评估民航旅客服务信息系统的可靠性。为了简化民航旅客服务信息系统可靠性评估的工作量,本文尝试建立可靠性评估系统,以期自动化完成民航旅客服务信息系统可靠性评估工作,提高可靠性评估的效率和准确性。综上所述,本文基于民航旅客服务信息系统的监控数据构建了一种基于滑动时间窗口的故障数据匹配算法,并多角度多模型地进行可靠性评估,仿真应用实验验证了算法的正确性、模型的准确性。通过设计可靠性评估系统,实现了系统可靠性的自动化评估,从而简化民航旅客服务信息系统可靠性评估的工作。
[Abstract]:With the rapid development of civil aviation passenger service information system, the scale of the system is becoming more and more complex. How to accurately evaluate the reliability of the system and ensure the normal operation of the system, It is an urgent task. Many application subsystems of civil aviation passenger service information system have accumulated a lot of monitoring data, but these data exist some problems, such as information redundancy, false alarm, incomplete data, etc. This paper presents a fault data matching algorithm based on sliding time window. Firstly, the monitoring data is structured and the alarm time sequence is generated according to the alarm time sequence. The width and sliding step of the time window are determined, then the data of each time window is cleaned, the key information of the alarm is kept, and the alarm data is generated; the alarm data in the time window is further compressed to form the alarm data. In order to quantitatively evaluate the reliability of civil aviation passenger service information system, fault data matching algorithm based on sliding time window is applied to fault time interval model and fault counting model. The representative models J-M and G-O, which incorporate these two kinds of models, evaluate the reliability of the system in terms of the fault interval and the number of faults, respectively, taking into account the inherent shortcomings of the J-M model and the G-O model. In this paper, a NHPP model based on Bayes estimation is proposed. The prior knowledge of Bayes estimation is used to modify the NHPP model to reduce the model evaluation error. In order to simplify the workload of reliability evaluation of civil aviation passenger service information system, this paper attempts to establish a reliability evaluation system. In order to automate the reliability evaluation of civil aviation passenger service information system, improve the efficiency and accuracy of reliability evaluation. In this paper, a fault data matching algorithm based on sliding time window is constructed based on the monitoring data of civil aviation passenger service information system. By designing a reliability evaluation system, the automatic evaluation of system reliability is realized, which simplifies the work of reliability evaluation of civil aviation passenger service information system.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：V354

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