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Adaptive Distributed Aviation Asset Optimization for Operational Effectiveness (Phase Ⅱ)

机译:自适应分布式航空资产优化以提高运营效率(第二阶段)

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The paper describes the use of an Intelligent Decision-aiding Agent (IDA) associate for management of distributed aviation assets during warfighter net-centric operations. VELOXITI, Inc. (formerly Applied Systems Intelligence, Inc.), is collaborating with government personnel to demonstrate and evaluate a Situational Awareness Fusion Enhancement (SAFE) Aid in a man-in-the-loop experimentation environment as part of an Aviation Development Directorate - Applied Aviation Technology Directorate (ADD-AATD) Phase II Small Business Innovative Research (SBIR) project. Last year's Phase I focus was on defining the requirements for integrating a collaborative adaptive tasking system (CATS) into a full mission simulation environment. This year's efforts have grown into the SAFE Aid Intelligent Decision-Aiding Associate (IDA) system which incorporates a platform agnostic Intelligent Associate System for scout/attack/utility helicopters, and which will be integrated, demonstrated and evaluated in an operationally relevant man-in-the-loop simulation environment. SAFE Aid is intended to dramatically increase situational awareness within the cockpit and allow the ability to identify and access multiple Surveillance and Reconnaissance assets with a single bezel button to automatically task manned and unmanned assets. This tasking is based upon prioritization of Area of Operations (AO) events that optimizes all Surveillance and Reconnaissance assets to cover high priority events in the AO. SAFE Aid also enables aircrew safe route planning functionality, collision avoidance, predictive aircraft positioning, over the horizon weather updates, and many other operationally relevant functionality for scout/reconnaissance/attack/utility helicopter missions including MEDEVAC support. This paper will show the development, integration, demonstration and evaluation of the SAFE Aid technology that reduces aircrew workload and enables aircrews to effectively manage and utilize distributed aviation assets, without impairing their operational performance on other flight tasks. Aircrews will fly operationally relevant mission vignettes in a laboratory simulation environment with SAFE Aid operating and without SAFE Aid operating. Data collection and analysis of aircrew responsiveness will assess the aircrew's ability to optimize interaction between manned and unmanned aircraft within a relevant mission context environment. Mission safety will be demonstrated using the ability for the system to incorporate additional knowledge bases adapted to accommodate evolving Tactics, Techniques and Procedures (TTPs). Mission demonstrations will involve multiple aircrews operating in two simultaneous mission simulation environments. Operational effectiveness and situational awareness requirements will consider data and user interfaces, real-time performance and human interaction issues. These defined requirements will aid in documenting the evaluation criteria for the SAFE Aid IDA. Evaluation criteria consider collection and analysis of the measurements for both a simulator-based environment and for full flight environments. The ultimate goal is to identify IDA benefits for aircrew members when the SAFE Aid system is operating, as compared to when the system is not operating, and the impact this has on operationally relevant mission scenario success.
机译:本文介绍了在作战人员以网络为中心的作战过程中,如何使用智能辅助决策代理(IDA)来管理分布式航空资产。 VELOXITI,Inc.(以前为Applied Systems Intelligence,Inc.)正在与政府人员合作,以在环人实验环境中演示和评估情景感知融合增强(SAFE)援助,这是航空发展局的一部分-应用航空技术局(ADD-AATD)第二阶段小型企业创新研究(SBIR)项目。去年的第一阶段重点是定义将协作式自适应任务系统(CATS)集成到完整的任务模拟环境中的要求。今年的工作已发展为SAFE Aid智能决策辅助助理(IDA)系统,该系统结合了用于侦察/攻击/多用途直升机的平台不可知的智能辅助系统,并将在与业务相关的人工指导中进行集成,演示和评估。环仿真环境。 SAFE Aid旨在极大地提高驾驶舱内的态势感知能力,并允许使用单个边框按钮识别和访问多个监视和侦察资产的功能,从而自动执行有人值守和无人值守任务的任务。该任务基于对操作区域(AO)事件的优先级划分,该事件优化了所有监视和侦察资产,以涵盖AO中的高优先级事件。 SAFE Aid还为机组人员/侦察/攻击/多用途直升机任务(包括MEDEVAC支持)提供了机组安全路线规划功能,避撞,飞机预测性定位,地平线天气更新以及许多其他与操作相关的功能。本文将展示SAFE Aid技术的开发,集成,演示和评估,该技术可减少机组人员的工作量,并使机组人员能够有效地管理和利用分布式航空资产,而不会损害其在其他飞行任务中的运行性能。在SAFE Aid运行和没有SAFE Aid运行的情况下,机组人员将在实验室模拟环境中飞行与操作相关的任务渐晕。机组人员响应性的数据收集和分析将评估机组人员在相关任务环境中优化有人机和无人飞机之间相互作用的能力。任务安全性将通过该系统整合适用于不断发展的战术,技术和程序(TTP)的其他知识库的能力来证明。任务演示将涉及在两个同时进行的任务模拟环境中运行的多个机组人员。运营效率和态势感知要求将考虑数据和用户界面,实时性能和人机交互问题。这些已定义的要求将有助于记录SAFE Aid IDA的评估标准。评估标准考虑了基于模拟器的环境和全飞行环境下的测量值的收集和分析。最终目标是确定SAFE Aid系统运行时(与系统未运行时相比)为机组人员带来的IDA收益,以及对操作相关任务场景成功的影响。

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