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Industrialization of Early Stage Design via Simulation Data Science, Platform and the Cloud

机译:通过仿真数据科学,平台和云实现早期设计的产业化

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Today, it is clear that some of the Navy's new-surface combatant designs will largely be driven by the much more power-hungry weapons and sensors of the future. The ship platform solution must be an optimized combination of power generation, conversion, control and another new variable: energy storage. At the same time, the Navy needs to engineer, model, and simulate in accordance with real-world scenarios to ensure power is available for the ultimate combat effectiveness. Interoperability with the fleet and new fleet assets such as unmanned vehicles present both an opportunity and a challenge. The scale of the problem is intractable as HM&E architecture and topology options in the thousands, combined with operational load cases can potentially produce billions of design and mission scenarios to evaluate for a single platform. This paper will explore the implications of the advent of recent technologies that can help to drive even greater innovation and collaboration across the Navy R&D community including: Simulation Data Science, Cloud and platform-based computing. Simulation Data Science is an enabler for innovation. It is a family of applications and technologies to capture and manage information, standardize simulation processes, leverage data analytics, & integrate the practice of simulation into the enterprise.
机译:如今,很明显,海军的某些新水面战斗机设计将主要由未来需要更多动力的武器和传感器驱动。船舶平台解决方案必须是发电,转换,控制和另一个新变量:储能的优化组合。同时,海军需要根据实际情况进行工程设计,建模和仿真,以确保拥有强大的动力来实现最终的战斗力。与车队和新的车队资产(例如无人驾驶车辆)的互操作性既是机遇,也是挑战。问题的规模是棘手的,因为成千上万的HM&E体系结构和拓扑选项,再加上运行负载情况,可能会产生数十亿个设计和任务方案,以评估单个平台。本文将探讨最近出现的技术的含义,这些技术可以帮助推动整个海军研发界的更大创新和协作,包括:仿真数据科学,云计算和基于平台的计算。仿真数据科学是创新的推动力。它是一系列应用程序和技术,用于捕获和管理信息,标准化模拟流程,利用数据分析以及将模拟实践集成到企业中。

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