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Adaptive Distributed Aviation Asset Optimization for Operational Effectiveness

机译:自适应分布式航空资产优化以提高运营效率

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The paper describes the use of an intelligent agent associate (IAA) for management of distributed aviation assets during manin-rnthe-loop experimentation and evaluation for warfighter net-centric operations. Bell Helicopter and Applied SystemsrnIntelligence, Inc. are integrating a collaborative adaptive tasking system (CATS) into a full mission simulation evaluationrnenvironment in the Bell Helicopter Manned Unmanned Operations Capability Development Laboratory in Huntsville,rnAlabama. The IAA CATS serves to validate development and test activities which enable aviators to effectively managerndistributed aviation assets, in this example - unmanned aircraft, without impairing their performance on other flight tasks.rnThe IAA CATS enables enhanced aviator performance and mission safety and demonstrates the ability for the system tornincorporate additional knowledge bases adapted to accommodate evolving Tactic’s Techniques and Procedures (TTPs).rnAccelerated Adaptive Distributed Aviation Asset Optimization of Operational Effectiveness will show that even in complexrnsituations, the decision aiding functions provided by CATS enhance aviator performance and mission safety. The CATSrnenables human-centered requirements analysis and refinement, and acts as an integrating layer that brings together situationrnassessment, dynamic planning and procedure execution assistance to the federated helicopter systems architecture. ThernCATS system reflects the task needs of the flight crew but does not interfere with or impede the ability of the pilot to performrnwhatever actions are required during mission execution and does not add task demands to pilot workload. The influence ofrnthe CATS is to reduce net task demands on the aircrew while insuring mission success and flight safety that results inrnaviation asset management from a combat helicopter cockpit environment. The development of additional operationalrnscenarios to drive requirements specification will be evaluated over time for other applications associated with Parapublicrnand Commercial aviation asset management. Operational effectiveness and situational awareness requirements consider datarnand user interfaces, space, power and weight, real-time performance and human interaction issues. These definedrnrequirements aid in defining and documenting the evaluation criteria for the IAA CATS. Evaluation criteria considerrncollection and analysis of the measurements for both a simulator-based environment and for full flight environments.
机译:本文描述了在以战斗员网络为中心的行动的人为环实验和评估期间,使用智能代理助理(IAA)管理分布式航空资产的过程。贝尔直升机公司和应用系统公司将智能协作任务系统(CATS)集成到位于阿拉巴马州汉斯维尔的贝尔直升机有人驾驶无人作战能力发展实验室的全面任务仿真评估环境中。 IAA CATS用于验证开发和测试活动,从而使飞行员能够有效地管理分布式航空资产(在此示例中为无人飞机),而不会损害其在其他飞行任务上的性能。IAACATS能够增强飞行员的性能和飞行任务安全性,并展示出该系统整合了适应不断发展的战术技术和程序(TTP)的其他知识库。加速的自适应分布式航空资产运营效率优化将显示,即使在复杂的情况下,CATS提供的决策辅助功能也可以提高飞行员的性能和任务安全性。 CATS实现了以人为中心的需求分析和细化,并充当一个集成层,将情况评估,动态规划和程序执行协助集成到联合直升机系统体系结构中。 CATS系统可以反映飞行机组的任务需求,但不会干扰或阻碍飞行员执行任务执行过程中需要采取的任何行动的能力,也不会增加飞行员的工作量。 CATS的影响是减少空勤人员的净任务需求,同时确保任务成功和飞行安全,从而避免战斗直升机驾驶舱环境对资产进行资产管理。随着时间的流逝,将评估与需求相关的其他运行方案的开发,以用于与Parapublicrnand商业航空资产管理相关的其他应用程序。运营效率和态势感知要求考虑数据和用户界面,空间,功率和重量,实时性能和人机交互问题。这些已定义的要求有助于定义和记录IAA CATS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。

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