客机座舱环境监测系统设计及数据融合算法研究

发布时间：2018-03-26 14:38

本文选题：座舱环境　切入点：评价模型　出处：《中国民航大学》2017年硕士论文

【摘要】：座舱环境的安全、健康、舒适受到了越来越多的重视。目前关于座舱环境的监测多采用单一传感器,并无集成式的监测系统;且由于座舱环境区别与一般的室内环境,狭小、密闭、有增压需求,因此市面上的集成监测系统也无法满足座舱环境的监测。关于座舱环境的评价研究也多基于问卷调查和对实测数据进行简单的拟合。本文设计了一个综合性的座舱环境质量监测系统,能够同时实现对多种环境参数的监测,并将座舱环境评估模型嵌入到监测系统中,得到当前的座舱环境评估值。主要工作以及获得的结果如下:1、通过对现有的各国适航标准及我国的环境质量国标进行整理与总结,提出了针对座舱环境参数的建议性阈值。调研了现有的座舱舒适性调查,根据影响乘客总体满意度的调查选取了需要监测的环境参数。2、设计了一款低功耗,抗干扰能力强的硬件采集系统,以STM32为处理器,兼有模拟量通道与数字量通道,实现对多种座舱环境参数信号的采集。着重考虑了数模信号的隔离,能够多通道、实时、精确的采集多种环境参数。3、系统软件平台作为系统的控制部分,实现数据的采集显示、处理、保存及后续数据融合后的评价。数据采集模块利用串口实现与硬件平台的数据传输;数据存储模块利用LABVIEW自带的工具包建立独立的数据库保存数据;数据融合采用了遗传神经网络算法,其运行效率高,训练速度快,结果误差小,具有较高的计算效率。基于遗传神经网络算法的环境参数评价模型,实现了对当前座舱环境的评价。
[Abstract]:More and more attention has been paid to the safety, health and comfort of cockpit environment. At present, single sensor is used in the monitoring of cockpit environment, and there is no integrated monitoring system. Airtight, pressurized, Therefore, the integrated monitoring system on the market can not meet the monitoring of cockpit environment. The evaluation research on cockpit environment is also based on questionnaire survey and simple fitting of measured data. A comprehensive seat is designed in this paper. Cabin environmental quality monitoring system, It can realize the monitoring of many environmental parameters at the same time, and embed the cabin environment assessment model into the monitoring system. Get the current cabin environmental assessment value. The main work and the results obtained are as follows: 1, through the existing national airworthiness standards and our national standards for environmental quality collated and summarized, The suggested threshold for cabin environment parameters is put forward. The existing cabin comfort survey is investigated. According to the investigation that affects the overall passenger satisfaction, the environmental parameter. 2, which needs to be monitored, is selected, and a low power consumption model is designed. The hardware acquisition system with strong anti-jamming ability, with STM32 as the processor, has both analog and digital channels to collect the signals of various cabin environment parameters. The isolation of digital-analog signals is emphasized, which can be multi-channel and real-time. Accurate collection of a variety of environmental parameters. 3, the system software platform as the control part of the system, data collection, display, processing, Data acquisition module uses serial port to realize data transmission with hardware platform, data storage module uses LABVIEW toolkit to build independent database to save data. The data fusion adopts the genetic neural network algorithm, which has the advantages of high running efficiency, fast training speed, small error and high computational efficiency. The evaluation model of environment parameters based on genetic neural network algorithm is presented. The evaluation of the current cockpit environment is realized.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：V245.3;TP274

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