DewTwin-Coin：一种基于Chandrayaan-3 LIBS和ChaSTE数据的月球水冰勘探星载自主框架
DewTwin-Coin: an onboard autonomous framework for lunar water-ice prospecting using Chandrayaan-3 LIBS and ChaSTE data
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中文总结 AI 辅助
提出DewTwin-Coin框架，基于find-S算法和物理规则，利用温度和氢氧比实时定位月球水冰，在Chandrayaan-3数据上验证，支持自主决策。
中文摘要 AI 辅助
在月球风化层中定位水冰对于未来在那里建立可持续基地至关重要。然而，来自地球的通信延迟、有限的带宽以及功率限制，要求一个星载的、自主的、时间高效的决策框架来定位月球风化层中的挥发性物质（如水冰）。在这项工作中，我们提出了一个框架DewTwin-Coin，它可以在不钻探的情况下实时定位潜在的水冰地点。其决策原理基于一种find-S学习算法，该算法利用某位置的表面温度和氢氧强度比。核心思想是一个基于物理的规则——只有当温度低于110 K且氢氧强度比在1.7到2.3之间时，水冰才是稳定的。我们在Chandrayaan-3的3165个激光诱导击穿光谱（LIBS）元素数据和387个Chandra表面热物理实验（ChaSTE）数据上验证了DewTwin-Coin。在一个16 GB RAM的系统上，它在615秒内对所有3165个位置进行了分类，没有产生水冰的强信号，这与Chandrayaan-3的现场分析一致。该框架对未来月球和其他行星任务非常重要，在这些任务中，星载漫游车可以自主确定水冰的可行钻探位置，而不会在温暖地形中发出错误的钻探命令。因此，任务的星载装置可以在功率和存储容量方面扩展其技术极限。
英文摘要
It is important to locate water-ice in the lunar regolith to build futuristic, sustainable bases there. But communication delays from Earth, limited bandwidth, and power constraints demand an onboard, autonomous, time-efficient decision-making framework for locating volatiles such as water-ice in the lunar regolith. In this work, we present a framework, DewTwin-Coin, that can locate potential water-ice sites in real time without drilling. Its decision-making principle is based on a find-S learning algorithm that uses surface temperature and the Hydrogen-to-Oxygen intensity ratio at a location. The core idea is a physics-based rule $-$ water-ice is stable only if the temperature is below 110 K and the Hydrogen-to-Oxygen intensity ratio is between 1.7 and 2.3. We validate DewTwin-Coin on Chandrayaan-3's 3165 laser-induced breakdown spectroscopy (LIBS) elemental data with 387 Chandra's surface thermophysical experiment (ChaSTE) data. On a 16 GB RAM system, it classified all 3165 locations within 615 seconds, yielding no strong signatures of water-ice, which matches the Chandrayaan-3 in-situ analysis. This framework is very important for future lunar and other planetary missions in which an onboard rover can autonomously determine feasible drilling locations for water-ice without issuing false drilling commands in warm terrains. Thus, the mission's onboard setup can stretch its technical limits in both power and memory capacity.
发表机构
- The Oxford College of Engineering（牛津工程学院）
- Indian Institute of Science Education and Research (IISER) Tirupati（印度科学教育研究所提鲁帕蒂分校）
机构由 AI 辅助整理，请以论文原文为准。
