王冠岭,李辉,赵生捷,左鑫,韩雨钊,王硕

• 1:同济大学道路与交通工程教育部重点实验室
• 2:杭州萧山国际机场有限公司安全管理部
• 3:同济大学软件学院

摘要(Abstract)：

智慧飞行区建设是近年来机场建设的新兴热点之一,但受制于技术发展的瓶颈,现阶段的智慧飞行区建设仍处于草创阶段,落地项目较少、建设成本高昂、运行效果不佳。随着“四型机场”建设目标的逐步推进,基于人工智能的智慧飞行区将迎来广阔的应用前景。为了更好地掌握智慧飞行区建设的发展现状和重点研究问题,本文基于中国知网、Engineering Village和Web of Science数据库的专业检索,全面汇总分析了2000—2022年智慧飞行区建设领域发表的32篇中文文献和95篇外文文献。结果显示,该领域自2015年起迅速发展,截至2022年5月底,来自16个国家的研究机构参与发表过智慧飞行区建设相关文献。中国是发表智慧飞行区建设相关文献最多的国家之一,研究方向主要为围界安防的可视化精准防范、工程施工的数字化全程掌控、风险隐患的智能化提前告警、运行资源的集约化共享管理、站坪交通的高效化车路协同。本文进一步对智慧飞行区建设研究中存在的空缺及未来重点关注问题提出建议。

关键词(KeyWords)： 智慧飞行区;人工智能;四型机场;文献综述

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 王冠岭,李辉,赵生捷,左鑫,韩雨钊,王硕

DOI: 10.16453/j.cnki.ISSN2096-5036.2022.04.001

参考文献(References)：

• [1]倪桂明,杨东援.机场系统计算机仿真研究的应用与发展[J].系统仿真学报,2002(1):112-115.
• [2]Pavlin S,Roguljic S.Intelligent Transportation Systems in the Planning and Coordination of Aircraft Traffic at the Airport Apron[J].Strojniski Vestnik,2004,50(7-8):360-367.
• [3]Latif,Saba,Ferzund,et al.Smart Airport Apron Management System Formal Modeling using VDM-SL[C]//Proceedings of the13th International Conference on Mathematics,Actuarial Science,Computer Science and Statistics (MACS 2019),14-15 December2019.IEEE,2019.
• [4]Lijun Yang,Zheng Tao.Aircraft Image Recognition in Airport Flight Area Based on Deep Transfer Learning[C]//Proceedings of the International Conference on Smart Transportation and City Engineering 2021.SPIE,2021,12050:1205055.
• [5]Korowajczuk,Leonhard.Full Apron Visibility Design.Integrated Communications[C]//2020 Integrated Communications Navigation and Surveillance Conference (ICNS),08-10 September 2020,Herndon.IEEE,2020.
• [6]Brassel H,Zouhar A,Fricke H.3D Modeling of the Airport Environment for Fast and Accurate Li DAR Semantic Segmentation of Apron Operations[C]//2020 AIAA/IEEE 39th Digital Avionics Systems Conference(DASC),11-15 October 2020,San Antonio.IEEE,2020.
• [7]Studic Milena,Majumdar Arnab.Apron safety:A Missing Piece in the SESAR Con Ops Puzzle[C]//Proceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems(ATACCS 2015),September2015.New York:ACM,2015:32-40.
• [8]Thirde David,Borg Mark,Ferryman James,et al.A Real-time Scene Understanding System for Airport Apron Monitoring[C]//Proceedings of the Fourth IEEE International Conference on Computer Vision Systems.IEEE,2006:26.
• [9]罗晓浅谈智慧机场的发展技术及其应用[J]空运商务2018(5):16-19.
• [10]王波.机场飞行区智能周界安防系统设计探讨[J].科学技术创新,2019(29):104-105.
• [11]邱冬莉,魏旗.机场飞行区智能周界安防系统设计探讨[J].智能建筑电气技术,2016,10(5):18-22.DOI:10.13857/j.cnki.cn11-5589/tu.2016.05.005.
• [12]丁宁.机场飞行区安防系统架构设计探究[J].科学技术创新,2021(13):78-80.
• [13]朱小磊.简析机场飞行区智能周界安防系统设计[J].数字通信世界,2017(4):209-210.
• [14]XIAO Liang.Application of Smart Site Construction Technology in Civil Airport Airfield Area[C]//2021 7th International Conference on Hydraulic and Civil Engineering&Smart Water Conservancy and Intelligent Disaster Reduction Forum,06-08November 2021,Nanjing.IEEE,2021:411-414.
• [15]徐军库,王士鹏.智慧机场发展研究初析[J].智能建筑,2018(7):22-25.
• [16]徐军库.智慧机场在北京新机场的建设与实践[J].民航管理,2017(10):17-23.
• [17]徐军库,董莉.民用运输机场建设中智慧工地的研究与实践[J].智能建筑,2019(6):37-40.
• [18]黄琰,靳学梅,王振飞.数字孪生技术在数字化机坪系统中的应用研究[J].信息化研究,2021,47(6):39-43.
• [19]Keskin,Basak.A Building Information Modeling (BIM)-Centric Digital Ecosystem for Smart Airport Life Cycle Management[D].Pro Quest Dissertations and Theses Global,2021.
• [20]陈燕,刘川民,曾珂.创新应用全覆盖站坪管理系统推进四型机场建设[J].民航管理,2020(6):36-38.
• [21]GUO De-quan,YANG Qingshuai,ZHANG Yu-dong,et al.Adaptive Object Tracking Discriminate Model for Multi-camera Panorama Surveillance in Airport Apron[J].Computer Modeling in Engineering and Sciences,2021,129(1):191-205.
• [22]CHEN Yu-qin,DAI Yuan-jun,CHEN Yu-tong.Design and Implementation of Automatic Bird-blocking Network in Airport Intelligent Birdrepelling System[C]//Proceedings of 2019 IEEE 4th Advanced Information Technology,Electronic and Automation Control Conference,December 2019.IEEE,2019:2511-2515.
• [23]丁晓欣,刘力嘉,乔嘉宁,等.智能技术在机坪运行安全管理中的应用[J].土木工程与管理学报,2022,39(02):26-31.DOI:10.13579/j.cnki.2095-0985.2022.20210943.
• [24]王馗.AIo T构建新型智慧机场[J].中国公共安全,2020(5):37-39.
• [25]LIU Jun-yong,GAO Shu,LUO Fan,et al.Research on the Safety Risk Early Warning Method of the Apron Based on RS-IPSO-SVM[C]//2017 2nd IEEE International Conference on Computational Intelligence and Applications.IEEE,2017.
• [26]LI Shi,FAN Luo.Research on Risk Early-warning Model in Airport Flight Area Based on Information Entropy Attribute Reduction and BP Neural Network[J].International Journal of Security and its Applications,2015,9(10):313-322.
• [27]YAN Liu.Application of Pattern Recognition in Airport Target Conflict Alert[M]//Artificial Intelligence in China.Singapore:Springer,2022.
• [28]却建昆,宗克,罗睿,等.机场飞行区智慧运行管理和共享服务经济的应用探讨[J].江苏科技信息,2018,35(35):21-24.
• [29]陈燕,刘川民,曾珂.机场站坪无动力车辆设备共享应用与管理探讨[J].民航管理,2020(09):56-59.
• [30]余胜尧.一种机场站坪交通管理解决方案[J].长江信息通信,2022,35(4):168-170.
• [31]安鑫,刘一.车路协同自动驾驶技术在民航机场的应用前景展望[J].交通工程,2020,20(4):57-61+67.DOI:10.13986/j.cnki.jote.2020.04.010.
• [32]Varelmann,Dieter.Io T-based apron sensors:Smart monitoring improves capacity utilization (Smartes monitoring verbessert auslastung)[J].BWK-Energie-Fachmagazin,2021,73(3-4):34-36.
• [33]Dragon R,Fenzi M.,Siberski W,et al.Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance[M]//Outdoor and Large-Scale Real-World Scene Analysis.Lecture Notes in Computer Science.Berlin:Springer,2012:110-130.
• [34]LIU Kang,CHEN Lei,LIU Xia.Research on Application of Frontier Technologies at Smart Airport[M]//Data Science ICPCSEE2021 Communications in Computer and Information Science.Singapore:Springer,2021:319-330.
• [35]张锐.机场的未来[J].大飞机,2022(1):8-12.
• [36]王识达.机场智慧化的瓶颈与路径选择[J].民航管理,2019(8):31-33.
• [37]邵咏亮.基于“互联网+”理念的智慧机场运行探索[J].信息记录材料,2021,22(11):218-219.DOI:10.16009/j.cnki.cn13-1295/tq.2021.11.102.
• [38]高俊,蒋俊.关于我国智慧机场建设的几个问题[J].空运商务,2018(5):12-15.
• [39]Lykou G,Anagnostopoulou A,Gritzalis D.Smart Airport Cybersecurity:Threat Mitigation and Cyber Resilience Controls[J].Sensors,2019,19(1):19.