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基于QAR數據的航空發(fā)動機報文解析及監(jiān)控技術研究

發(fā)布時間:2018-05-07 19:25

  本文選題:航空發(fā)動機 + QAR數據。 參考:《中國民航大學》2016年碩士論文


【摘要】:航空發(fā)動機監(jiān)控技術是飛機和發(fā)動機正常運行的基礎,是航空運營單位保證其正常運營的重要方面,目前國外主流發(fā)動機制造商都開發(fā)出應用于自身發(fā)動機的監(jiān)控軟件,可以對飛機和發(fā)動機進行準確、可靠的狀態(tài)監(jiān)控和故障診斷。本文研究了航空發(fā)發(fā)動機監(jiān)控技術的發(fā)展現(xiàn)狀,對比了國內外技術的差異,明確了我國監(jiān)控技術的努力方向和突破重點。重點研究了飛機機載數據采集系統(tǒng)、數據傳輸系統(tǒng)和地面監(jiān)控系統(tǒng),對QAR數據和ACARS報文數據進行研究并進行了同源性分析,為本文的報文解析工作提供了理論基礎。本文提出了一種基于QAR數據的報文解析技術,從QAR中按照特定提取邏輯和算法提取滿足觸發(fā)條件的發(fā)動機穩(wěn)態(tài)報文數據,通過與廠家原始報文數據進行對比來校驗其準確性,利用該種方法可以有效拓寬報文的獲取途徑,解決ACARS報文獲取困難、費用昂貴等問題,為航空公司在無法獲取報文時提供應急處置方案,也可以為高校和研究單位提供模擬ACARS報文以進行教學和研究工作。本文同時研究了航空發(fā)動機狀態(tài)參數的基線挖掘,總結了現(xiàn)有基線挖掘的理論和方法,并對標準化模型進行了改進,利用多種方法進行了基線挖掘和擬合并對所提取的基線進行了對比,具有良好的效果。本文通過建立航空發(fā)動機狀態(tài)監(jiān)控系統(tǒng),將本文研究的報文解析、基線監(jiān)控等技術進行融合,實現(xiàn)了QAR數據導入、報文提取、極值監(jiān)控、基線監(jiān)控、趨勢圖繪制、數據存儲等功能,可以基本實現(xiàn)對航空發(fā)動機的運行狀況進行準實時監(jiān)控及航后分析,有利于及時發(fā)現(xiàn)并處理異常情況。
[Abstract]:Aeroengine monitoring technology is the basis of aircraft and engine normal operation, and an important aspect of aviation operation unit to ensure its normal operation. At present, mainstream engine manufacturers abroad have developed monitoring and control software for their own engines. Aircraft and engine can be accurate and reliable state monitoring and fault diagnosis. In this paper, the development status of aero-engine monitoring technology is studied, the differences between domestic and foreign technologies are compared, and the direction of our country's monitoring technology and the key point of breakthrough are defined. The airborne data acquisition system, data transmission system and ground monitoring system are studied in detail. The QAR data and ACARS message data are studied and the homology analysis is carried out, which provides a theoretical basis for the packet analysis in this paper. In this paper, a packet analysis technique based on QAR data is proposed. According to the specific extraction logic and algorithm, the steady-state engine message data that meets the trigger condition is extracted from QAR, and the accuracy is verified by comparing it with the original message data of the manufacturer. By using this method, we can effectively widen the way of obtaining ACARS packets, solve the problems of difficulty in obtaining ACARS packets and high cost, and provide emergency solutions for airlines when they are unable to obtain packets. Simulation ACARS messages can also be provided to universities and research institutions for teaching and research. At the same time, this paper studies the baseline mining of aero-engine state parameters, summarizes the existing theories and methods of baseline mining, and improves the standardized model. Several methods are used to mine the baselines and to combine them to compare the extracted baselines, and the results are satisfactory. In this paper, the aero-engine status monitoring system is established, and the technologies of message analysis and baseline monitoring are combined to realize QAR data import, message extraction, extreme value monitoring, baseline monitoring, trend map drawing, etc. Data storage and other functions can basically realize the quasi-real-time monitoring and post-flight analysis of the aero-engine operating condition, which is helpful to detect and deal with the abnormal situation in time.
【學位授予單位】:中國民航大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:V263.6


本文編號:1858162

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