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A technical, financial, and policy analysis of the RAMSES RFID inventory management system for NASA's International Space Station: prospects for SBIR/STTR technology infusion

机译:美国宇航局国际空间站RamsEs RFID库存管理系统的技术,财务和政策分析:sBIR / sTTR技术注入的前景

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摘要

Engineering, management, and social science methodologies have been employed to analyze a new asset tracking and management system for human spaceflight applications. The Massachusetts Institute of Technology and Aurora Flight Sciences developed Rule-based analytic Asset Management for Space Exploration System (RAMSES) via NASA Small- Business Technology Transfer (STTR) Phase I and Phase II contracts. RAMSES leverages Generation II passive Radio Frequency Identification (RFID) technology to automate the tracking the tens of thousands of small, portable cargo assets that are currently stored onboard the International Space Station (ISS). A Monte Carlo Net Present Value analysis found that RAMSES is likely to have significant positive value for NASA when ISS inventory transactions are concentrated in a subset of the total cargo transfer bag (CTB) population, and/or if ISS Operations are continued into 2018/2020. The volume, mass, and accuracy of the RAMSES system have a significant impact upon the estimated NPV. Testing of the prototype hardware in reduced-gravity conditions reaffirmed the viability of the system. Metals cargo objects were detected with up to 100% accuracy, paper with 96%, and water with roughly 93%. Finally, a comparative analysis of RAMSES and five other NASA Small-Business Innovation Research (SBIR) / Small-Business Technology Transfer (STTR) projects identified three non-technical characteristics and/or informal processes that might be unique to SBIR/STTR technologies that are successfully infused into the mainstream NASA innovation system. These included pre-proposal knowledge exchanges between companies and NASA, strong matching of a project with a relevant NASA COTR, and the availability of an infusion opportunity
机译:工程,管理和社会科学方法论已被用于分析用于人类航天应用的新资产跟踪和管理系统。麻省理工学院和Aurora Flight Sciences通过NASA小型企业技术转让(STTR)第一阶段和第二阶段合同开发了基于规则的太空探索系统分析资产管理(RAMSES)。 RAMSES利用第二代无源射频识别(RFID)技术来自动跟踪当前存储在国际空间站(ISS)上的成千上万的小型便携式货物资产。蒙特卡洛净现值分析发现,当国际空间站的库存交易集中在总的货物转运袋(CTB)人口中的一部分时,和/或国际空间站的运行持续到2018 /年,RAMSES可能对NASA具有显着的正值。 2020年。 RAMSES系统的体积,质量和准确性对估计的NPV有重要影响。在重力降低的情况下对原型硬件进行的测试再次证明了系统的可行性。检出的金属货物物体的准确度最高为100%,纸张的检出准确度为96%,水的检出率约为93%。最后,对RAMSES和其他五个NASA小型企业创新研究(SBIR)/小型企业技术转让(STTR)项目的比较分析确定了SBIR / STTR技术可能独有的三个非技术特征和/或非正式过程,已成功注入主流NASA创新系统。其中包括公司与NASA之间的提案前知识交流,项目与相关NASA COTR的紧密匹配以及注入机会的可用性

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    Grindle Abraham T;

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  • 年度 2010
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  • 正文语种 eng
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