Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (6A): 230700050-6.doi: 10.11896/jsjkx.230700050

• Interdiscipline & Application • Previous Articles     Next Articles

Modeling and Analysis of Implementation Process for Civil Aircraft Certification Test Flight Based on Stochastic Petri Net

DENG Hannian1, ZHOU Jie1, YANG Bo1, YI Lili1, FU Guang2, ZHOU Peng2   

  1. 1 State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China
    2 School of Mechanical Engineering,Guizhou University,Guiyang 550025,China
  • Published:2024-06-06
  • About author:DENG Hannian,born in 1998,postgra-duate.His main research interests include process modeling and intelligent optimization technology.
    YANG Bo,born in 1986,Ph.D,associate professor.His main research interests include cloud manufacturing service composition,production scheduling,networked manufacturing and industrial big data analytics.
  • Supported by:
    National Key Research and Development Program of China(2020YFB1713300),National Natural Science Foundation of China(51975074) and Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0732).

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Abstract: Certification test flight is an important activity for civil aircraft to obtain a type certificate,characterized by high cost and high risk.Studying the implementation process of certification test flight is conducive to promoting the orderly conduct of test flight,thereby reducing the test flight cycle and cost.Currently,research on the test flight process is limited to process description and qualitative analysis,lacking formal modeling and performance analysis of it,which hinders the examination of key links in the process.In order to solve the above problems,the implementation process in the three stages of certification test flight is studied,and the simulation model of it is constructed by using stochastic Petri ne(SPN).By establishing a Markov chain isomorphic to the model,the performance analysis of the implementation process is conducted to identify the time-consuming key links in the process.Furthermore,the impact of the implementation rates of key links on the average running time of the process is analyzed.Finally,the feasibility of the model and method is validated through a case study.The results show that the manufacturing compliance check and test flight data processing are the time-consuming key links in the process and should be the focus of process optimization.Compared to improving the speed of individual link,enhancing the implementation rates of these two key links at the same time has lower cost and greater improvement in process efficiency.

Key words: Implementation process of certification test flight, Stochastic Petri net, Markov chain, Performance analysis, Key links

CLC Number: 

  • TP391.9
[1]YU J Q,HAN J.Research on Optimization of flight Test organization management Process[J].Equipment Management and Maintenance,2021(9):3-4.
[2]CHEN D.Flight-Test Safety Control of CH Series UAVs[J].Aircraft Design,2018,38(2):20-22.
[3]GAO B.X Company Flight Test Program Management System Research[D].South China University of Technology,2014.
[4]ZHAO Z Q,XU J C,ZHANG H Z,et al.Flight Test Technology[M].Civil Aviation Press of China,2019,10:3-5.
[5]CAI B,PAN L P.Organization and Security Management ofFlying Test Based on Information Platform[J].Aircraft Design,2018,38(3):77-80.
[6]WEI C L.Research on Fault Handling Process of Civil Aircraft Strength Test[J].Science and Technology Vision,2016(20):84-85.
[7]LV B W,YANG H Z.Workflow technology overview[J].Intelligent Computer and Applications,2018,8(1):159-161.
[8]CHEN F.Overview and Research Trend of Workflow Modeling Technology[J].Computer Optical Disc Software and Applications,2014,17(21):146-147.
[9]NIU B,HUANG Z L,WU J J,et al.Modeling and Verification of Intelligent Recommendation for early Warning Intelligence Based on UML and Colored Petri Net[J].Journal of Ordnance Equipment Engineering,2022,43(12):291-298.
[10]ZHAO Y,ZHAO C,HUANG B,et al.Semantics and analysis of BPMN2.0 process model[J].Computer Science,2018,45(S2):558-563.
[11]YE J H,YE S.Bidirectional mapping between YAWL andBPMN[J].Journal of System Simulation,2013,25(1):1-5,11.
[12]LAI X W,ZHENG W B,WU Y Q,et al.Task Collaborative rocess Network Model and Time Analysis of Mine Accident Emergency Rescue Digital Plan[J].Computer Science,2021,48(S1):596-602.
[13]YANG H R,FANG X W.Business Process Consistency Analysis of Petri Net Based on Probability and Time Factor[J].Computer Science,2020,47(5):59-63.
[14]WANG D,FENG J C,WANG X,et al.Modeling for AircraftBased on 3D Printing Technology and SPN[J].Journal of Ordnance Equipment Engineering,2017,38(2):149-154.
[15]XIE Q,MAO Z.Aircraft product design process model based on Petri net[J].Engineering Journal of Wuhan University,2006(1):131-136.
[16]XING Z W,WEI Z Q,LUO Q,et al.Flight support service modeling method based on colored time Petri Net[J].Systems Engineering and Electronics,2018,40(5):1064-1069.
[17]ZHANG G Y,ZHANG F G,CHENG J H.Aircraft equipment maintenance process modeling based on hierarchical Petri net work-flow[J].Ship Electronic Engineering,2020,40(5):138-141,151.
[18]WANG W.Research on Dynamic Modeling Method of aero-engine Collaborative Design Process based on object-oriented Petri Net[C]//The 2nd China Aeronautical Science and Technology Conference 2015.2015:377-384.
[19]FU G L.Research on Collaborative Development Process of Aircraft OIC[D].Northwestern Polytechnical University,2007.
[20]PEI Y.Research on Optimization of Fault Handling Process of E Airlines based on Petri Net[D].Shanghai:Donghua University,2019.
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