The taxiing phase is a critical stage during aircraft takeoff and landing. The safety of taxiing not only affects the safety of the aircraft itself but also directly impacts the efficient utilization of runways and the smooth operation of the aviation transportation system. The trajectory of an aircraft on the runway is a primary concern during the taxiing phase due to its impact on the likelihood of aviation accidents such as runway excursions and overruns. The taxiing trajectory is typically determined by multiple key parameters such as the landing position, taxiing acceleration, landing speed, and others. Therefore, tracking the taxiing state of an aircraft on the runway is critical for runway safety. The traditional airport runway information perception methods struggle to meet the demands of modern airports requiring high-performance service and high-safety operation. This paper proposed a monitoring method for acquiring aircraft taxiing information based on distributed vibration detected by ultra-weak fiber Bragg grating (FBG) sensing array, which achieves the requirement for all-domain, full-time perception, analysis of dynamic information of aircraft taxiing on the runway. For an actual engineering equipped with the smart runway system, vibration sensing optical cables buried throughout the entire runway are directly utilized to collect distributed vibration responses generated by aircraft taxiing on the runway in takeoff and landing stages. The identification feasibility and effectiveness of taxiing speed, position, and taxiing acceleration are evaluated based on representative samples of various aircraft types. The results revealed that actual measurements concerning the distribution of vibration intensity with respect to space and time using ultra-weak FBG sensing array can be utilized to obtain the aircraft taxiing information. Furthermore, through analysis of the experimental results, the study explained the characteristics of different aircraft types and the current operating conditions of the airport.


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    Titel :

    Detection of aircraft taxiing on airport runway based on ultra-weak FBG array


    Beteiligte:
    Shao, Xiaopeng (Herausgeber:in) / Guo, Jinding (Autor:in) / Li, Sheng (Autor:in) / Wang, Juntao (Autor:in)

    Kongress:

    Fourth International Computational Imaging Conference (CITA 2024) ; 2024 ; Xiamen, China


    Erschienen in:

    Proc. SPIE ; 13542


    Erscheinungsdatum :

    25.02.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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