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Web-based Simulation for Operations Support and Training Management on Future Exploration Missions

机译:基于网络的运营支持和培训管理对未来勘探任务的仿真

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Long-duration manned spaceflight missions require new planning, training, andoperations tools to ensure that safety and performance as well as efficiency and cost affordability requirements can be met. The length and complexity of missions will also require tools with more advanced automation and intelligent support both on the ground and for the astronauts. Success will depend on the delivery of continuous system knowledge, flexibility of the ground and orbital crews, and real-time intelligent support information at their disposal. Through work on three SBIR projects with NASA and the U.S. Navy, PLANET LLC and ORBITEC are developing a baseline simulation platform for exploration applications that incorporates 3D visualization with intelligent, logic-based decision support and physics-based behavior simulation. By integrating a "logic engine" for authoring of complex system or procedural simulations in a text-based flowchart format, simulation tools can be created with reduced programming, making them a more cost-effective option for ground-based, on-orbit, and embedded training systems. The integration of a "physics engine" also will immediately allow for real-time simulation that reacts to data-driven behaviors, physical phenomenon, or other equation-based interactions. Physics-based simulation was once only achieved through highly expensive videogame engines or dedicated hardware simulators, which precludes their use as an operations interface or mobile training platform. These new capabilities are being demonstrated in current NASA training system developments and as a toolset in the new integrated set of performance support tools from United Space Alliance called Questus~(TM).
机译:长期载人航天飞行任务需要新的规划,培训,andoperations工具,以确保安全和性能以及效率和成本承受能力的需求都可以得到满足。任务的长度和复杂性也需要既在地面上的宇航员更先进的自动化和智能化支持工具。成功将取决于持续的系统知识,地面和轨道船员的灵活性,并且实时智能支持信息在他们的处置交付。通过三个SBIR项目与美国航天局和美国海军工作,PLANET LLC和ORBITEC正在开发探索应用的基准仿真平台,采用三维可视化与基于物理的智能,基于逻辑的决策支持和行为模拟。通过集成的复杂系统或基于文本的流程图格式程序模拟的创作“逻辑引擎”,模拟工具可以与减少的编程来创建,这使得它们对于基于地面的,在轨,和更具成本效益的选择嵌入式训练系统。一个“物理引擎”还集成将立即允许实时仿真作出反应,以数据驱动的行为,物理现象,或其他基于方程的相互作用。基于物理模拟一度只能通过非常昂贵的视频游戏引擎或专用硬件仿真器实现,作为操作界面或移动培训平台这阻碍了它们的使用。这些新功能在当前美国航空航天局的培训体系的发展和作为来自联合太空联盟的新组集成的性能支持工具的工具箱被称为证明〜Questus(TM)。

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