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首页> 外文会议>European-African Regional Conference of the Internatinal Society for Terrain Vehicle Systems >LUNAR SOIL CHARACTERISTIC ESTIMATION BASED ON IMAGE ANALYSIS
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LUNAR SOIL CHARACTERISTIC ESTIMATION BASED ON IMAGE ANALYSIS

机译：基于图像分析的月球土壤特征估计

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Before lunar surface sampling operation, the main method to judge the mechanical state of lunar soil around the lander is to produce indentation on the lunar surface by the end of the lunar contact component. The indentation is the mechanical behaviour of the lunar soil under the stress condition, which reflects bearing characteristic and bulk density of the lunar soil. Therefore, it is necessary to use the indentation image to predict and retrieve the mechanical properties of the lunar soil around the lander. In order to be easy to identify, the lunar soil is classified into three mechanical states according to its hardness: loose, natural and compact in this study. Then, various lunar soil simulant regolith and its different mechanical states were prepared in both the soil bin laboratory at Jilin and the sampler assembly internal field at Beijing respectively. The indentation tests on the lunar surface touch-down were carried out, to collect the digital images. The indentation depth information was extracted, the relationship and regularity between indentation depth and pressure characteristics was analyzed, and characteristic indexes and their threshold used for non-parametric identification of lunar soil simulant regolith mechanical state were obtained. Furthermore, the recognition rate of lunar soil simulant regolith mechanical state was improved by subdivision method. The verification test shows that the success rate of judging the mechanical state of lunar soil simulant regolith by indentation image is 67%. The rest samples that had not been successfully identified are judged as denser and harder states, which accord with the strict principle of lunar surface sampling mission. An application software system was developed based on the image analysis of indentation and the inversion technology of lunar soil characteristics. The achievement of this study can guide the instruction decision-making of the feed of sampling on the lunar surface and provide an effective technical method for the rapid determination of the pressure characteristics of the lunar soil in the upcoming lunar exploration sampling task.
机译：在月球表面采样操作之前，主要方法判断着陆器周围的月球土壤的机械状态是在月球接触元件的末端产生在月球表面上的压痕。压痕是月球土壤在应力条件下的力学行为，反映了月球土壤的轴承特征和散装密度。因此，有必要使用压痕图像预测和检索着陆器周围的月球土壤的机械性质。为了易于识别，根据其硬度，月球土壤被分为三种机械状态：在本研究中松动，自然和紧凑。然后，在吉林的土壤箱实验室和北京的采样器组装内部领域的土壤箱实验室都制备了各种月球土壤模拟促销标准和其不同的机械状态。进行了在月球表面接触上的压痕测试，以收集数字图像。提取压痕深度信息，分析了压痕深度和压力特性之间的关系和规律，获得了用于非参数鉴定的特征指标及用于月球土壤模拟机械状态的非参数识别。此外，通过细分方法改善了月球土壤模拟机械状态的识别率。验证测试表明，通过压痕图像判断月球土壤模拟骨灰岩机械状态的成功率为67％。尚未成功确定的其余样本被判断为更密集和更难的国家，这符合月球表面采样使命的严格原则。基于压痕图像分析和月球土壤特性的反演技术开发了应用软件系统。该研究的成就可以指导月球表面上采样的指令决策，并提供一种有效的技术方法，可以快速测定即将到来的月球勘探采样任务中月球土壤的压力特性。

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