航空学报 > 2025, Vol. 46 Issue (11): 531213-531213   doi: 10.7527/S1000-6893.2024.31213

无人机系统人因设计关键技术研究进展

冯传宴1,2, 刘双2, 完颜笑如2, 丁梦龙1, 李道春1,2, 周尧明1,2()   

  1. 1.天目山实验室 绿色民机智能设计研究中心,杭州 311115
    2.北京航空航天大学 航空科学与工程学院,北京 100191
  • 收稿日期:2024-09-18 修回日期:2024-10-25 接受日期:2024-12-12 出版日期:2024-12-24 发布日期:2024-12-23
  • 通讯作者: 周尧明 E-mail:zhouyaoming@buaa.edu.cn
  • 基金资助:
    国家自然科学基金(52402507);国家自然科学基金(52272382);天目山实验室关键领域项目(TK-2024-D-012);浙江省重点研发计划(2024SSYS0087);航空科学基金(201813300002)

Research progress on key technologies for human factors design of unmanned aircraft systems

Chuanyan FENG1,2, Shuang LIU2, Xiaoru WANYAN2, Menglong DING1, Daochun LI1,2, Yaoming ZHOU1,2()   

  1. 1.Green Civil Aircraft Intelligent Design Research Centre,Tianmushan Laboratory,Hangzhou 311115,China
    2.School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China
  • Received:2024-09-18 Revised:2024-10-25 Accepted:2024-12-12 Online:2024-12-24 Published:2024-12-23
  • Contact: Yaoming ZHOU E-mail:zhouyaoming@buaa.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52402507);Funds for Research Project of Tianmu Mountain Laboratory(TK-2024-D-012);Key R&D Program of Zhejiang Province(2024SSYS0087);Aeronautical Science Foundation of China(201813300002)

摘要:

伴随着机械故障的显著降低和人工智能(AI)技术的迅猛发展,无人机系统(UAS)所涉及的人因(HF)问题愈发严峻。为了提升低空经济下专业化无人机系统的综合作业效能,必须突破无人机系统人因设计的关键技术。以文献研究和工业实践经验为基础,梳理了体系化的无人机系统人因标准制定、高效且互信的人-AI协同作业、全生命周期的人因设计3个科学问题。首先,总结了无人机系统面临的独特人因挑战。然后,提出了自动化设计、显控交互设计、人员配置与协作、选拔与培训4类人因问题现状。最后,重点阐述了无人机系统的人因标准体系架构设计、人-AI高效组队设计、人与系统集成设计这3项人因设计关键技术及其进展。

关键词: 无人机系统, 遥控驾驶航空器系统, 人因设计, 地面站设计, 人-AI组队, 人与系统集成

Abstract:

With the significant reduction in mechanical failures and the rapid development of Artificial Intelligence (AI) technology, Human Factors (HF) issues in Unmanned Aircraft Systems (UAS) are becoming increasingly serious. To enhance the overall performance of specialized UAS in the low-altitude economy, it is essential to address the key HF design technologies. This paper, based on literature research and industrial practical experience, identifies three key scientific problems: the formulation of systematic UAS HF standards, efficient and trustworthy human-AI collaboration, and life-cycle HF design. First, the unique HF challenges of UAS are outlined. Next, current status of four categories of HF issues is discussed: automation design, display-control design, staffing and collaboration, and selection and training. Finally, three key HF design technologies and their progress, HF standard architecture design for UAS, efficient human-AI teaming design, and human-system integration design, are highlighted.

Key words: unmanned aircraft system, remote piloted aircraft system, human factors design, ground control station design, human-AI teaming, human-system integration

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