【摘要】：隨著科技的發(fā)展，社會(huì)的進(jìn)步，我國(guó)民航事業(yè)獲得了高速發(fā)展，隨之而來(lái)的機(jī)場(chǎng)噪聲問(wèn)題也愈發(fā)嚴(yán)重，機(jī)場(chǎng)航空噪聲對(duì)機(jī)場(chǎng)周邊環(huán)境的影響愈發(fā)明顯。目前現(xiàn)有的機(jī)場(chǎng)噪聲監(jiān)測(cè)技術(shù)存在監(jiān)測(cè)點(diǎn)數(shù)量少、監(jiān)測(cè)的設(shè)備成本高以及監(jiān)測(cè)模式落后等諸多的局限性，不能準(zhǔn)確的反應(yīng)機(jī)場(chǎng)周邊的噪聲環(huán)境狀況。本文研究機(jī)場(chǎng)復(fù)雜環(huán)境下，以泛網(wǎng)格化機(jī)場(chǎng)噪聲感知模型為基礎(chǔ)的基于物聯(lián)網(wǎng)的機(jī)場(chǎng)噪聲感知系統(tǒng)，實(shí)現(xiàn)對(duì)機(jī)場(chǎng)噪聲的精確測(cè)量，為機(jī)場(chǎng)噪聲的評(píng)估和預(yù)測(cè)提供可靠的數(shù)據(jù)基礎(chǔ)。 基于物聯(lián)網(wǎng)的機(jī)場(chǎng)噪聲感知系統(tǒng)主要研究以STM32為控制核心的匯聚節(jié)點(diǎn)和感知節(jié)點(diǎn)的設(shè)計(jì)方案。感知節(jié)點(diǎn)部分主要研究以DSP為數(shù)據(jù)處理核心的噪聲采集模塊以及低功耗的能源管理方案；匯聚節(jié)點(diǎn)部分主要研究通過(guò)3G模塊訪問(wèn)互聯(lián)網(wǎng)與GIS控制平臺(tái)進(jìn)行通信的方案；匯聚節(jié)點(diǎn)和感知節(jié)點(diǎn)通過(guò)Zigbee組建無(wú)線局域網(wǎng)絡(luò)，實(shí)現(xiàn)短距離無(wú)線通信。 在噪聲測(cè)量研究中，根據(jù)國(guó)際電工委員會(huì)制定的關(guān)于噪聲測(cè)量的相關(guān)測(cè)量算法，研究了噪聲測(cè)量的數(shù)字處理方法，將噪聲測(cè)量中的頻率計(jì)權(quán)和時(shí)間計(jì)權(quán)等計(jì)算進(jìn)行數(shù)字化，同時(shí)研究了噪聲的1/3倍頻程頻譜分析的數(shù)字算法，并在DSP系統(tǒng)上進(jìn)行實(shí)現(xiàn)。以理想的泛網(wǎng)格化的機(jī)場(chǎng)噪聲感知模型為基礎(chǔ)，，研究航空器噪聲事件與非航空器噪聲事件的特點(diǎn)，利用感知的海量噪聲數(shù)據(jù)，研究多傳感器數(shù)據(jù)融合的方法，過(guò)濾非航空器噪聲，實(shí)現(xiàn)航空器噪聲事件的準(zhǔn)確識(shí)別。
[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.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TB52

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