INMARA II = Intelligent Machine Reasoning and Action

INMARA II = 智能机器推理和行动

• 批准号: 710158
• 金额: $ 12.22万
• 依托单位: BARNARD MICROSYSTEMS LIMITED
• 依托单位国家: 英国
• 项目类别: GRD Proof of Concept
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=710158
• 关键词: INMARA; II; Intelligent; Machine; Reasoning

This Proof of Concept Application is a follow on from our successful INMARA FeasibilityStudy 130597. We are developing small unmanned aircraft for use throughout the world inscientific (ash cloud monitoring), commercial (oil and mineral exploration and production)and state (land and maritime border patrol) applications.Our aim is to provide each unmanned aircraft with some of the intelligence of a bird, so that itflies predictably and safely, avoiding other aircraft. It then either returns to base, or lands in asuitable location, if the early onset of system failure is detected, so avoiding a costly crash andits detrimental impact on the business case. In geophysical survey work, the cost of thesensors and the satellite communications unit on the aircraft can exceed $200,000.We propose to build and test prototype hardware and software that will perform IntelligentMachine Reasoning and Action and adaptive flight control, on our existing InView unmannedaircraft, in real time, to prove our concept. The system will continuously monitor the state ofthe aircraft and the external environment and detect and diagnose performance degradationand faults. It will decide on the action to take to ensure predictable behaviour and the bestexecution of the mission objectives, in the face of changing system status and a dynamicexternal environment.This Proof of Concept work will help us to build a world leading aerospace business in theU.K. based on the design, manufacture and export of unmanned aircraft systems and relatedservices to oil and mineral rich countries.The societal benefits of this work include the prospect of increased safety of small unmannedaircraft and the reduced environmental impact associated with their operation, since smallunmanned aircraft use less fuel per km flown than their manned counterparts.This demanding and dramatic Proof of Concept will be generally applicable to a wide varietyof ground, sea and air based robotic vehicles.

此概念验证应用程序是我们成功的INMARA可行性研究130597的后续。我们正在开发小型无人驾驶飞机，用于世界各地的非科学(火山灰云监测)、商业(石油和矿产勘探和生产)和国家(陆地和海上边境巡逻)应用。我们的目标是为每一架无人驾驶飞机提供一些鸟的情报，使其能够预测和安全飞行，避开其他飞机。然后，如果检测到系统早期出现故障，它要么返回基地，要么降落在合适的位置，从而避免代价高昂的崩溃及其对业务案例的不利影响。在地球物理测量工作中，传感器和飞机上的卫星通信单元的成本可能超过20万美元。我们建议在我们现有的InView无人驾驶飞机上构建和测试执行智能机器推理和操作以及自适应飞行控制的原型硬件和软件，以实时验证我们的概念。该系统将持续监测飞机和外部环境的状态，并检测和诊断性能下降和故障。它将决定采取什么行动，以确保可预测的行为和任务目标的最佳执行，面对不断变化的系统状态和动态的外部环境。这项概念验证工作将帮助我们在英国建立一个世界领先的航空航天业务，其基础是设计、制造和出口无人驾驶飞机系统以及向石油和矿产资源丰富的国家提供相关服务。这项工作的社会效益包括提高小型无人驾驶飞机的安全性和减少与其操作相关的环境影响，因为小型无人驾驶飞机每飞行公里消耗的燃料比有人驾驶的同类飞机更少。这一要求苛刻和戏剧性的概念验证将普遍适用于广泛的地面。基于海上和空中的机器人车辆。