月球科研站关键区域智能选址及其典型环境要素分析
Analysis of Typical Environmental Elements in Intelligently Selected Regions for International Lunar Research Station
冯永玖 1唐盼丽 2陈书睿 2席梦镕 2叶真 2金雁敏 2刘世杰 2李浩腾 2王蓉 1李鹏朔 2童小华2
作者信息
- 1. 同济大学 测绘与地理信息学院,上海 200092;同济大学 上海市航天测绘遥感与空间探测重点实验室,上海 200092;同济大学 上海自主智能无人系统科学中心,上海 200092
- 2. 同济大学 测绘与地理信息学院,上海 200092;同济大学 上海市航天测绘遥感与空间探测重点实验室,上海 200092
- 折叠
摘要
为服务未来国际月球科研站(ILRS)任务,搜索到符合科学目标和工程安全要求的探测区域,开展了着陆探测智能选址,以及着陆区典型要素和巡视可达性的综合分析.在着陆选址方面,基于1D-CNN选址模型在南极Scott M的西南侧遴选并划定了4个预选着陆区;针对着陆区关键要素,对实时光照和辐射、物理温度剖面、水冰赋存等环境特征进行了遥感探测与精细分析;针对巡视可达评估,采用顾及能量耗费的路径规划模型,评估预选着陆区中心点至潜在水冰点的巡视可达性.结果表明,预选着陆区均满足着陆适宜性,具有地形安全性高、供能高等特征.该研究的综合分析方法也可用于评估其他潜在着陆区的典型环境特征,为ILRS的着陆选址和科学目标巡视探测提供有益参考.
Abstract
To select the regions with both high engineering safety and scientific interest for International Lunar Research Station(ILRS),this study conducted a thorough analysis using intelligent site selection,evaluation of typical elements,and assessments of rover accessibility across the selected regions.By leveraging the 1D-CNN site selection model,4 candidate landing sites were pinpointed and outlined in the southwestern region of Scott M.Additionally,environmental elements such as real-time illumination,radiation levels,physical temperature variations and presence of water ice were remotely detected and meticulously examined in these selected zones.Furthermore,a traverse planning model with a consideration of the energy consumption was employed to assess the accessibility to water ice from the central points of the candidate landing zones.The results indicate that the candidate landing zones are optimized for both terrain safety and energy supply.The comprehensive approach can also serve as a valuable framework for analyzing the typical environmental patterns in other potential site selection regions,providing a useful reference for ILRS landing site selection and scientific detection.
关键词
月球科研站/着陆选址/典型环境要素/路径规划/Scott/MKey words
International Lunar Research Station(ILRS)/site selection/typical environmental elements/traverse planning/Scott M引用本文复制引用
基金项目
国家自然科学基金项目(42371422)
国家自然科学基金项目(42221002)
出版年
2024
国家科技期刊平台
NSTL
万方数据