青島流亭機場場面運行決策系統(tǒng)研究
發(fā)布時間:2018-07-13 17:18
【摘要】:塔臺指揮是保障飛行安全的重要環(huán)節(jié)。本文以場面決策指揮滑行路徑優(yōu)化為目的,優(yōu)化航空器進離場的滑行時間。建立以場面滑行總時間最小為目標的數(shù)學優(yōu)化模型,運用C#開發(fā)場面運行決策系統(tǒng),為塔臺管制員場面運行決策提供建議和參考措施。首先,根據(jù)青島流亭機場交通系統(tǒng)研究青島流亭機場跑道系統(tǒng)、滑行道系統(tǒng)、停機位及熱點區(qū)域、沖突特征,并進行一周進離港航班數(shù)據(jù)分析,進而給出在該系統(tǒng)下管制員指揮建議和措施。其次,分析滑行道優(yōu)化模型主要考慮的因素,建立機場滑行狀態(tài)空間,改進Dijkstra算法增加搜索的高效性,考慮進離港航班流量在不同時間段的差異,同時也兼顧進離場航空器的滑行時間、航空器滑行到跑道外等待點時間、航空器著陸后滑行到機位的時間,改進Dijkstra算法,并建立以場面滑行總時間最小為目標數(shù)學優(yōu)化模型。再次,根據(jù)在場面運行情況復雜時,考慮多重因素影響時自動算法存在失效可能性的情況下,運用C#開發(fā)場面運行輔助決策系統(tǒng),給出估算過節(jié)點時間的最優(yōu)路徑,分析進港滑行、離港滑行、進離港滑行沖突下的運用過程和方法,為塔臺管制員場面運行決策提供輔助性建議。最后,結合算例驗證模型的有效性,結合管制決策過程和實例驗證程序的可行性。
[Abstract]:Tower command is an important link to ensure flight safety. For the purpose of optimizing the taxiing path of scene decision-making command, this paper optimizes the taxiing time of aircraft entering and leaving the field. A mathematical optimization model with the goal of minimum total time of scene gliding is established, and the decision making system of scene running is developed by using C #, which provides suggestions and reference measures for the decision making of tower controller's scene operation. Firstly, according to the traffic system of Qingdao Liuting Airport, the runway system, taxiway system, parking stand and hot spot area of Qingdao Liuting Airport are studied, and the data of weekly inbound and outbound flights are analyzed. Furthermore, the suggestions and measures of the controller command under the system are given. Secondly, the main factors of taxiway optimization model are analyzed, the airport taxiing state space is established, the Dijkstra algorithm is improved to increase the efficiency of search, and the difference of inbound and outbound flight traffic in different time periods is considered. Meanwhile, the Dijkstra algorithm is improved by taking into account the taxiing time of the aircraft, the time of the aircraft taxiing to the waiting point outside the runway, and the time of the aircraft taxiing to the station after landing, and the mathematical optimization model with the minimum total time of the scene taxiing as the objective is established. Thirdly, according to the possibility of failure of the automatic algorithm considering the influence of multiple factors when the operation of the scene is complex, the optimal path of estimating the crossing point time is given by using C # to develop the auxiliary decision system for scene running. This paper analyzes the application process and methods of entry / departure / collision, and provides some helpful suggestions for tower controllers' decision making on the operation of tower controllers. Finally, combined with the validity of the model, the feasibility of the regulatory decision-making process and the case verification procedure.
【學位授予單位】:中國民用航空飛行學院
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:V355
本文編號:2120150
[Abstract]:Tower command is an important link to ensure flight safety. For the purpose of optimizing the taxiing path of scene decision-making command, this paper optimizes the taxiing time of aircraft entering and leaving the field. A mathematical optimization model with the goal of minimum total time of scene gliding is established, and the decision making system of scene running is developed by using C #, which provides suggestions and reference measures for the decision making of tower controller's scene operation. Firstly, according to the traffic system of Qingdao Liuting Airport, the runway system, taxiway system, parking stand and hot spot area of Qingdao Liuting Airport are studied, and the data of weekly inbound and outbound flights are analyzed. Furthermore, the suggestions and measures of the controller command under the system are given. Secondly, the main factors of taxiway optimization model are analyzed, the airport taxiing state space is established, the Dijkstra algorithm is improved to increase the efficiency of search, and the difference of inbound and outbound flight traffic in different time periods is considered. Meanwhile, the Dijkstra algorithm is improved by taking into account the taxiing time of the aircraft, the time of the aircraft taxiing to the waiting point outside the runway, and the time of the aircraft taxiing to the station after landing, and the mathematical optimization model with the minimum total time of the scene taxiing as the objective is established. Thirdly, according to the possibility of failure of the automatic algorithm considering the influence of multiple factors when the operation of the scene is complex, the optimal path of estimating the crossing point time is given by using C # to develop the auxiliary decision system for scene running. This paper analyzes the application process and methods of entry / departure / collision, and provides some helpful suggestions for tower controllers' decision making on the operation of tower controllers. Finally, combined with the validity of the model, the feasibility of the regulatory decision-making process and the case verification procedure.
【學位授予單位】:中國民用航空飛行學院
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:V355
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