Research On The Control Strategy Of Flight Guarantee Processes Based On Complex Network

The central business of airport transportation production organization is centered on flight operation guarantee,and the realization of digital processing,intelligent response and intelligent support for airport flight operation guarantee is one of the core tasks of smart airport construction.Airport flight operation guarantee is a complex system project.There are intricate links between various guarantee operations,which interact with each other,influence each other,and constrain each other.Once the key processes are disturbed,the guarantee efficiency will be reduced,which will lead to flight delays.This thesis applies the complex network theory,combines the characteristics of flight guarantee process and cascade propagation characteristics,thus comprehensively establishes the multi-layer complex network model of flight guarantee.It also proposes the real-time identification method of flight guarantee key processes and the analysis model of operational situation impact.Finally,the flight assurance process control strategy is developed.The main research work of this thesis includes the following aspects.(1)The flight guarantee operation process is sorted out,and a standard AOV network about aircraft ground guarantee operation,passenger service,baggage handling and other service objects is established.Through the splitting and combination of AOV network,the complex network model of flight guarantee is constructed.The static indexes such as degree and node strength of the network are also analyzed.The structural importance was quantified using four parameters such as degree centrality and betweenness centrality.The network robustness simulation experiments are conducted under five attack strategies according to the structure importance under random attack and deliberate attack strategies respectively.The overall operation law and structural robustness of the network are studied through simulation.And the critical nodes are obtained by the critical path identification algorithm.The simulation results show that the flight security complex network has scale-free characteristics.The robustness of the network is strong when the network is subjected to random attacks,and the robustness of the network is most affected by the node degree value of the process when facing deliberate attacks,and less affected by the weighted betweenness value.The critical nodes in the critical path are combined with the vulnerable nodes in the robustness to obtain the important nodes in the guarantee process,and this research method provides theoretical support for the idea of realtime identification and control of the important nodes in the flight guarantee process.(2)A cascade effect model of flight guarantee interdependent network considering node heterogeneity is proposed.Based on the constructed flight assurance process network,the interdependent network model is established through the information-physical network structure mapping relationship by combining the production material network that provides services in the actual guarantee process.Considering that when the production material nodes are overloaded in a certain time,the nodes do not fail immediately.And with certain overload operation capability and process redistribution characteristics,a cascading failure model applicable to the flight guarantee scenario is proposed.The cascading failure simulation experiments are conducted using Python for the domestic transit flight assurance interdependent network.The simulation results show that the three parameters introduced can effectively control the flight guarantee cascading failure process.The cascade effect model can timely reflect the operating situation of the flight guarantee interdependent network.It is divided into six state types according to the changes of the situation,and builds a security situation awareness system and a security risk prediction mechanism to provide a basis for the decision of using the control strategy of the flight guarantee process.(3)Based on the complex network control theory,the flight guarantee process control strategy is proposed.The control strategy is divided into pre-control strategy and intermediate control strategy from the time node of control occurrence.The pre-control strategy includes fault detection,protection of important processes and emergency strategy formulation.The intermediate control strategy includes production material deployment and priority recovery of important processes.The robustness improvement effect of single layer network and interdependent network under control state is simulated and analyzed by Python respectively.Then the flight guarantee process control simulation platform is constructed based on Anylogic.The results of the two simulations show that the proposed control strategy can effectively improve the overall robustness of the network and can effectively control the time required for different processes in the simulation platform.The results of this thesis provide methodological support for the control decision of the flight assurance process.