人工智能已成为民用飞机技术创新发展与竞争的新赛道。在面向民用飞机全生命周期的多种人工智能融合应用中，智能飞行致力于改变传统飞行驾驶模式，重构未来飞行的人机交互模式与空中交通管理架构，成为行业特征最为显著、最具备颠覆性变革的方向，是民用飞机智能化竞争的新焦点。阐述了智能飞行理念，规划辅助智能、增强智能、完全智能三阶段实施路线，以25部、23部、轻型运动类飞机为对象，制定智能飞行推进路线，构建技术体系，提炼影响智能飞行在应用落地过程中需要解决的可信适航与人为因素两项关键应用基础技术，分享对于智能飞行的思考。
Artificial Intelligence (AI) has become a new competing track to innovation, development, and competition of the civil aircraft technology. In a variety of applications of AI for the full life cycle of civil aircraft, intelligent flight is committed to changing the traditional flight driving mode and reconstructing the human-computer interaction mode and air traffic management architecture of future flight, and has become the most significant and subversively innovative features of the industry and the new arena of the civil aircraft intelligent competition. This article enunciates the basic concepts of intelligent flight, and its three-phase roadmap: the auxiliary intelligent, enhanced intelligence and complete intelligence. The planning strategy for the intelligence flight and relevant technical systems in accordance with the CCAR 23&25 are constructed, and the light sport aircraft requirements are analyzed. The demanding technologies (reliable airworthiness of AI, human factor engineering) in the application of the intelligent flight technology are introduced and some personal thoughts on the future of intelligent flight are also given.
[1] 中华人民共和国国务院. 国务院关于加快培育和发展战略性新兴产业的决定32号[R]. 北京:中华人民共和国国务院, 2010. The State Council of the People's Republic of China. The state council's regarding accelerating cultivation and development decision of strategic emerging industries No.32[R]. Beijing:State Council of the People's Republic of China,2010(in Chinese).
[2] 中华人民共和国国务院. "十三五"国家战略性新兴产业发展规划67号[R]. 北京:中华人民共和国国务院, 2016. The State Council of the People's Republic of China. "13th Five-Year" national strategic emerging industry development plan No.67[R]. Beijing:State Council of the People's Republic of China,2016(in Chinese).
[3] 中华人民共和国第十八届中央委员会.决胜全面建成小康社会夺取新时代中国特色社会主义伟大胜利[R]. 北京:中华人民共和国第十八届中央委员会,2017. The 18th Central Committee of the People's Republic of China. Decisive victory to build a well-off society in an all-round way and win the great victory of socialism with Chinese characteristics in the New Era[R].Beijing:18th Central Committee of the People's Republic of China,2017(in Chinese).
[4] ROBERT P. NASA aeronautics strategic implementation plan[R]. Washington,D.C.:NASA Aeronautics Research Mission Directorate,2020.
[5] National Research Council of the National Academies. Autonomy research for civil aviation:Toward a New Era of flight[R].Washington,D.C.:National Academies Press, 2014.
[6] COMERFORD D, BRANDT L, LACHTER J,et al. NASA's Single-pilot operations technical interchange meeting:Proceedings and findings[R]. Washington,D.C.:NASA Ames Research Center, 2013.
[7] PATRICK K. The European plan for aviation safety:EPAS2020-2024[R]. Cologne:EASA,2019.
[8] PATRICK K.Aritificial intelligence roadmap:A human-centric approach to AI in aviation[R]. Cologne:EASA,2020.
[9] HAMON R, JUNLEWITZ H, SANCHEZ I. Robustness and explainablity of artificial intelligence[R]. Brussels:JRC Technical Report, European Commission, 2020.
[10] NATHALIE S. European commission high level expert group on artificial intelligence[R]. Cologne:EASA, 2020.
[11] MIKE P. Assuring safe autonomy[C]//Proceedings of the 28th Safety-critical Systems Symposium, 2020.
[12] PAUL H. Data safety guidance V3.2, 127E[M]. Heslington:SCSC,2020.
[13] ERIC J, ALEXANDRE A. Challenges to the certification of machine learning for safety critical systems[C]//ERTS, 2020.
[14] MELANIE D, SEBATIEN G, JAYANT. A high-probability safety guarantee for shifted neural network surrogates[C]//Safe AI 2020, 2020.
[15] DEBONS A. Human engineering research 22-01-022 Part 11, Progress E[R]. 1950.
[16] Federal Aviation Administration. Crew resource management training:Advisory Circular AC 120-51B[R].Washington, D.C.:FAA,1995.
[17] FITTS P. Psychological research on equipment design[R]. Washington, D.C.:Army Air Forces Aviation Psychology Program,1947.
[18] FLANAGAN J. The aviation psychology program in the army air[R]. Washington, D.C.:Army Air Forces Aviation Psychology Program,1947.
[19] FOUSHEE C, MANOS K. Information transfer within the cockpit:Problems in intracockpit communications:TP-1875[R]. Washington, D.C.:NASA Ames Research Center,1981.
[20] GORDON T. The airline pilot a survey of the critical requirements of his job and of pilot Evaluation and selection procedures[J]. Journal of Applied Psychology, 1949, 33(1):122-131.
[21] HOPKIN D. Human factors in air traffic control[M]. London:Taylor & Francis,1995.
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