机场航空噪声的测量及感知系统的设计
发布时间：2018-11-03 21:23
【摘要】：随着科技的发展，社会的进步，我国民航事业获得了高速发展，随之而来的机场噪声问题也愈发严重，机场航空噪声对机场周边环境的影响愈发明显。目前现有的机场噪声监测技术存在监测点数量少、监测的设备成本高以及监测模式落后等诸多的局限性，不能准确的反应机场周边的噪声环境状况。本文研究机场复杂环境下，以泛网格化机场噪声感知模型为基础的基于物联网的机场噪声感知系统，实现对机场噪声的精确测量，为机场噪声的评估和预测提供可靠的数据基础。 基于物联网的机场噪声感知系统主要研究以STM32为控制核心的汇聚节点和感知节点的设计方案。感知节点部分主要研究以DSP为数据处理核心的噪声采集模块以及低功耗的能源管理方案；汇聚节点部分主要研究通过3G模块访问互联网与GIS控制平台进行通信的方案；汇聚节点和感知节点通过Zigbee组建无线局域网络，实现短距离无线通信。 在噪声测量研究中，根据国际电工委员会制定的关于噪声测量的相关测量算法，研究了噪声测量的数字处理方法，将噪声测量中的频率计权和时间计权等计算进行数字化，同时研究了噪声的1/3倍频程频谱分析的数字算法，并在DSP系统上进行实现。以理想的泛网格化的机场噪声感知模型为基础，，研究航空器噪声事件与非航空器噪声事件的特点，利用感知的海量噪声数据，研究多传感器数据融合的方法，过滤非航空器噪声，实现航空器噪声事件的准确识别。
[Abstract]:With the development of science and technology and the progress of society, the civil aviation industry of our country has obtained the high speed development, the airport noise problem has become more and more serious, the influence of the airport aviation noise on the surrounding environment of the airport is becoming more and more obvious. At present, the existing airport noise monitoring technology has many limitations, such as the small number of monitoring points, the high cost of monitoring equipment and the backward monitoring mode, and so on, which can not accurately reflect the noise environment around the airport. In this paper, the airport noise sensing system based on the Internet of things based on the pan-grid airport noise perception model is studied in complex airport environment to realize the accurate measurement of airport noise. It provides a reliable data base for airport noise evaluation and prediction. The airport noise sensing system based on the Internet of things mainly studies the design scheme of the convergence node and the sensing node with STM32 as the control core. In the sensing node part, the noise acquisition module with DSP as the data processing core and the low-power energy management scheme are studied, while the convergence node part mainly studies the communication scheme between the Internet and the GIS control platform through 3G module. The convergent node and the sensing node construct wireless local area network through Zigbee to realize short-range wireless communication. In the research of noise measurement, the digital processing method of noise measurement is studied according to the relevant measurement algorithm of noise measurement developed by the International Electrotechnical Commission, and the calculation of frequency weight and time weight in noise measurement is digitized. At the same time, the digital algorithm of 1 / 3 octave spectrum analysis of noise is studied and implemented on DSP system. Based on the ideal pan-grid model of airport noise perception, the characteristics of aircraft noise events and non-aircraft noise events are studied, and the multi-sensor data fusion method is studied by using the perceived mass noise data. Filter non-aircraft noise to achieve accurate identification of aircraft noise events.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB52
本文编号：2309080
[Abstract]:With the development of science and technology and the progress of society, the civil aviation industry of our country has obtained the high speed development, the airport noise problem has become more and more serious, the influence of the airport aviation noise on the surrounding environment of the airport is becoming more and more obvious. At present, the existing airport noise monitoring technology has many limitations, such as the small number of monitoring points, the high cost of monitoring equipment and the backward monitoring mode, and so on, which can not accurately reflect the noise environment around the airport. In this paper, the airport noise sensing system based on the Internet of things based on the pan-grid airport noise perception model is studied in complex airport environment to realize the accurate measurement of airport noise. It provides a reliable data base for airport noise evaluation and prediction. The airport noise sensing system based on the Internet of things mainly studies the design scheme of the convergence node and the sensing node with STM32 as the control core. In the sensing node part, the noise acquisition module with DSP as the data processing core and the low-power energy management scheme are studied, while the convergence node part mainly studies the communication scheme between the Internet and the GIS control platform through 3G module. The convergent node and the sensing node construct wireless local area network through Zigbee to realize short-range wireless communication. In the research of noise measurement, the digital processing method of noise measurement is studied according to the relevant measurement algorithm of noise measurement developed by the International Electrotechnical Commission, and the calculation of frequency weight and time weight in noise measurement is digitized. At the same time, the digital algorithm of 1 / 3 octave spectrum analysis of noise is studied and implemented on DSP system. Based on the ideal pan-grid model of airport noise perception, the characteristics of aircraft noise events and non-aircraft noise events are studied, and the multi-sensor data fusion method is studied by using the perceived mass noise data. Filter non-aircraft noise to achieve accurate identification of aircraft noise events.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB52
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