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

机译:操作效率的自适应分布式航空资产优化(阶段Ⅱ)

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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:本文介绍了智能决策代理(IDA)在广告员以网络为中心的操作期间使用分布式航空资产管理。 VELOXITI,INC。(原应用系统Intelligence Inc.)正在与政府人员合作,以展示和评估作为航空开发主任的一部分的循环实验环境中的情境意识融合增强(安全)援助 - 应用航空技术董事会(ADD-AATD)第二阶段小型企业创新研究(SBIR)项目。去年的阶段,我专注于定义将协作自适应任务系统(CAT)集成到全方位仿真环境中的要求。今年的努力已经发展成为安全援助智能决策协会(IDA)系统,该系统包括用于侦察/攻击/实用直升机的平台不可知智能助理系统,并将其综合,在经营相关的人中展示和评估 - 循环仿真环境。安全援助旨在大大提高驾驶舱内的情境感知,并允许使用单个挡板按钮识别和访问多次监控和侦察资产,以自动签署载人和无人资产。此任务基于操作区域(AO)事件的优先级,优化所有监控和侦察资产,以涵盖AO中的高优先级事件。安全援助还使机组安全路线规划功能,碰撞避免,预测飞机定位,在地平线天气更新和侦察/侦察/攻击/攻击/实用直升机中的许多其他可操作相关的功能,包括Medevac支持。本文将展示安全援助技术的开发,集成,演示和评估,可减少机组仪器工作量,并使机组人员能够有效地管理和利用分布式航空资产,而不会在其他飞行任务上损害其运行性能。机组人员将在实验室模拟环境中飞行可操作相关的特派团,安全援助运营,无需安全援助。数据收集和转机响应能力分析将评估机组人员在相关的特派上下文环境中优化有人和无人机之间的互动的能力。使用该系统的能力纳入适用于适应不断发展的策略,技术和程序(TTP)的能力,将展示使命安全。使命示范将涉及在两个同时执行任务仿真环境中运行的多个机组人员。操作效率和情境感知要求将考虑数据和用户界面,实时性能和人类交互问题。这些定义的要求将有助于记录安全援助IDA的评估标准。评估标准考虑收集和分析模拟器的环境和全飞行环境的测量。最终目标是在安全辅助系统运行时识别机组人员的IDA益处,与系统未运行相比,这对操作相关的任务方案成功的影响。

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