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深空探测人工智能技术应用及发展建议

叶培建,孟林智,马继楠,王强,李莹,杜宇,王硕

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文章导航> 深空探测学报(中英文）> 2019> 6(4): 303-316,383
叶培建, 孟林智, 马继楠, 王强, 李莹, 杜宇, 王硕. 深空探测人工智能技术应用及发展建议[J]. 深空探测学报(中英文）, 2019, 6(4): 303-316,383. doi: 10.15982/j.issn.2095-7777.2019.04.001
引用本文: 叶培建, 孟林智, 马继楠, 王强, 李莹, 杜宇, 王硕. 深空探测人工智能技术应用及发展建议[J]. 深空探测学报(中英文）, 2019, 6(4): 303-316,383.doi:10.15982/j.issn.2095-7777.2019.04.001
shu
YE Peijian, MENG Linzhi, MA Jinan, WANG Qiang, LI Ying, DU Yu, WANG Shuo. Suggestions on Artificial Intelligence Technology Application and Development in Deep Space Exploration[J]. Journal of Deep Space Exploration, 2019, 6(4): 303-316,383. doi: 10.15982/j.issn.2095-7777.2019.04.001
Citation: YE Peijian, MENG Linzhi, MA Jinan, WANG Qiang, LI Ying, DU Yu, WANG Shuo. Suggestions on Artificial Intelligence Technology Application and Development in Deep Space Exploration[J].Journal of Deep Space Exploration, 2019, 6(4): 303-316,383.doi:10.15982/j.issn.2095-7777.2019.04.001
shu

深空探测人工智能技术应用及发展建议

doi:10.15982/j.issn.2095-7777.2019.04.001
  • 1.

    中国空间技术研究院, 北京 100094

  • 2.

    北京空间飞行器总体设计部, 北京 100094

Suggestions on Artificial Intelligence Technology Application and Development in Deep Space Exploration

  • 1.

    China Academy of Space Technology, Beijing 100094, China

  • 2.

    Beijing Institute of Spacecraft System Engineering, Beijing 100094, China

  • 摘要:深空探测任务的探测目标距离地球越来越远，测控延时逐步增大，并且目标的先验知识有限，在遥远、未知、不确定环境下开展科学探索对探测器的自主性能需求日益强烈。随着人工智能技术的快速发展并逐步实用，在深空探测领域中应用人工智能技术提高和改进航天器自主性也将成为必须和可能。简要介绍了人工智能技术的发展历程，分析了航天领域中人工智能技术的应用实例，重点结合规划的深空探测任务特点和应用场景，梳理分析了各具体任务对人工智能技术应用的潜在需求，并提出了对深空探测人工智能技术应用的一些看法和发展建议。
    Abstract:The detection target of deep space exploration mission is further and further away from the earth,the time-delay of TT&C increases gradually, and the priori knowledge of the target is limited. Therefore, the autonomous performance of the explorer is increasingly required to implement scientific exploration in a distance,unknown and uncertain environment. With the development and application of artificial intelligence technology, it is necessary and possible to apply artificial intelligence technology to improve spacecraft autonomy in the field of deep space exploration. In this paper, he development of artificial intelligence technology is introduced briefly, the application of artificial intelligence technology in the field of space flight is analyzed. According to the characteristics and application scenarios of the future planning of deep space exploration,the potential demands on the application of the artificial intelligence technology in the task are analyzed, and some views and development suggestions of the applications of artificial intelligence technology to deep space exploration are proposed.
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出版历程
  • 收稿日期:2019-07-01
  • 修回日期:2019-07-28
  • 刊出日期:2019-08-01

深空探测人工智能技术应用及发展建议

doi:10.15982/j.issn.2095-7777.2019.04.001
  • 1. 中国空间技术研究院, 北京 100094
  • 2. 北京空间飞行器总体设计部, 北京 100094
  • 收稿日期:2019-07-01
  • 修回日期:2019-07-28
  • 刊出日期:2019-08-01

摘要:深空探测任务的探测目标距离地球越来越远，测控延时逐步增大，并且目标的先验知识有限，在遥远、未知、不确定环境下开展科学探索对探测器的自主性能需求日益强烈。随着人工智能技术的快速发展并逐步实用，在深空探测领域中应用人工智能技术提高和改进航天器自主性也将成为必须和可能。简要介绍了人工智能技术的发展历程，分析了航天领域中人工智能技术的应用实例，重点结合规划的深空探测任务特点和应用场景，梳理分析了各具体任务对人工智能技术应用的潜在需求，并提出了对深空探测人工智能技术应用的一些看法和发展建议。

English Abstract

叶培建, 孟林智, 马继楠, 王强, 李莹, 杜宇, 王硕. 深空探测人工智能技术应用及发展建议[J]. 深空探测学报(中英文）, 2019, 6(4): 303-316,383. doi: 10.15982/j.issn.2095-7777.2019.04.001
引用本文: 叶培建, 孟林智, 马继楠, 王强, 李莹, 杜宇, 王硕. 深空探测人工智能技术应用及发展建议[J]. 深空探测学报(中英文）, 2019, 6(4): 303-316,383.doi:10.15982/j.issn.2095-7777.2019.04.001
shu
YE Peijian, MENG Linzhi, MA Jinan, WANG Qiang, LI Ying, DU Yu, WANG Shuo. Suggestions on Artificial Intelligence Technology Application and Development in Deep Space Exploration[J]. Journal of Deep Space Exploration, 2019, 6(4): 303-316,383. doi: 10.15982/j.issn.2095-7777.2019.04.001
Citation: YE Peijian, MENG Linzhi, MA Jinan, WANG Qiang, LI Ying, DU Yu, WANG Shuo. Suggestions on Artificial Intelligence Technology Application and Development in Deep Space Exploration[J].Journal of Deep Space Exploration, 2019, 6(4): 303-316,383.doi:10.15982/j.issn.2095-7777.2019.04.001
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