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低空脑机接口人机融合技术的安全性研究

Research on Security of Low-altitude Brain-Computer Interface and Human-Machine Integration Technology

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【作者】 戴锐张洪欣

【Author】 DAI Rui;ZHANG Hongxin;School of Public Security, People’s Public Security University of China;School of Electronic Engineering, Beijing University of Posts and Telecommunications;

【机构】 中国人民公安大学治安学院北京邮电大学电子工程学院

【摘要】 探究了脑机接口(Brain-Computer Interface, BCI)和人机融合技术在无人机操控及反制设备使用领域的应用价值,分析了该技术面临的问题,并提出了针对性的解决策略,以推动其在低空经济发展及安全保卫中的合理应用。通过分析BCI技术在提升无人机操控效率、增加反制设备使用精准度等方面的作用,结合其为低空经济发展型塑的新应用场景和创造的低空安全保卫新形态,梳理该技术面临的人机融合技术自身缺陷、信息安全风险及其对低空安全造成的影响等问题,进而提出应对策略。BCI技术在无人机操控和反制设备使用领域作用显著,能够提升无人机操控效率、增加反制设备使用的精准度,基于该技术与人机融合技术为低空经济发展型塑了新的应用场景,创造了低空安全保卫的新形态。

【Abstract】 The application value of Brain-Computer Interface(BCI) and human-machine integration technology in the fields of UAV control and countermeasure equipment operation is explored, the problems faced by these technologies are analyzed, and targeted solutions are proposed to promote their rational application in the development of the low-altitude economy and security protection. By analyzing the role of BCI technology in improving UAV control efficiency and enhancing the accuracy of countermeasure equipment operation, and combining the new application scenarios that BCI technology shapes for the low-altitude economy and the new form of low-altitude security protection it creates, the problems faced by these technologies are sorted out, such as inherent defects of human-machine integration technology, information security risks, and their impacts on low-altitude security, and corresponding countermeasures are further put forward. BCI technology plays a significant role in the fields of UAV control and countermeasure equipment operation: it can improve UAV control efficiency and enhance the accuracy of countermeasure equipment operation. Based on BCI and human-machine integration technology, new application scenarios for the low-altitude economy have been shaped, and a new form of low-altitude security protection has been created.

【基金】 中国人民公安大学治安学双一流专项(2023SYL01);2024北京市高等教育学会面上课题(MS2024070);北京邮电大学AI4S探索计划项目(2025AI4S04)~~
  • 【文献出处】 无线电工程 ,Radio Engineering , 编辑部邮箱 ,2025年11期
  • 【分类号】TN911.7;V328;V279
  • 【下载频次】51
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