【摘要】：隨著科技的發(fā)展，社會的進步，我國民航事業(yè)獲得了高速發(fā)展，隨之而來的機場噪聲問題也愈發(fā)嚴重，機場航空噪聲對機場周邊環(huán)境的影響愈發(fā)明顯。目前現(xiàn)有的機場噪聲監(jiān)測技術(shù)存在監(jiān)測點數(shù)量少、監(jiān)測的設(shè)備成本高以及監(jiān)測模式落后等諸多的局限性，不能準確的反應(yīng)機場周邊的噪聲環(huán)境狀況。本文研究機場復(fù)雜環(huán)境下，以泛網(wǎng)格化機場噪聲感知模型為基礎(chǔ)的基于物聯(lián)網(wǎng)的機場噪聲感知系統(tǒng)，實現(xiàn)對機場噪聲的精確測量，為機場噪聲的評估和預(yù)測提供可靠的數(shù)據(jù)基礎(chǔ)。 基于物聯(lián)網(wǎng)的機場噪聲感知系統(tǒng)主要研究以STM32為控制核心的匯聚節(jié)點和感知節(jié)點的設(shè)計方案。感知節(jié)點部分主要研究以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)點部分主要研究通過3G模塊訪問互聯(lián)網(wǎng)與GIS控制平臺進行通信的方案；匯聚節(jié)點和感知節(jié)點通過Zigbee組建無線局域網(wǎng)絡(luò)，實現(xiàn)短距離無線通信。 在噪聲測量研究中，根據(jù)國際電工委員會制定的關(guān)于噪聲測量的相關(guān)測量算法，研究了噪聲測量的數(shù)字處理方法，將噪聲測量中的頻率計權(quán)和時間計權(quán)等計算進行數(shù)字化，同時研究了噪聲的1/3倍頻程頻譜分析的數(shù)字算法，并在DSP系統(tǒng)上進行實現(xiàn)。以理想的泛網(wǎng)格化的機場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，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，過濾非航空器噪聲，實現(xiàn)航空器噪聲事件的準確識別。
[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.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TB52

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