课题基金 / 基金详情

Transformative Digital Air Vehicle with IoT Sensors for Safer Urban Skies (AVATAR)

Transformative Digital Air Vehicle with IoT Sensors for Safer Urban Skies (AVATAR)
具有物联网传感器的变革性数字飞行器,可实现更安全的城市天空 (AVATAR)
批准号:
10062407
负责人:
金额:
$84.67万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
AVATAR致力于通过创新的智能物联网(IoT)传感皮肤持续监控变革性飞行器(TAV)的运行,并通过准确的物理模型和高级分析提供信息,从而降低直接运营成本,延长使用寿命和更安全的天空。AVATAR的数字孪生(DT)模型将与真实的结构并行工作,并在必要时提供偏离预期(模拟)行为的操作行为的早期预警,从而实现预测性维护概念。此外,通过记录每个飞行器在每次飞行中所经历的实际载荷谱,它将优化单个飞行器的使用寿命,从而有助于实现安全和可持续的空中移动。AVATAR提出的物联网传感皮肤是实时关键操作信息获取以及物理飞行器和数字飞行器之间通过无线通信连接的关键推动因素。AVATAR DT平台将提供物联网,大数据和机器学习的无缝集成,以收集,计算和预测。AVATAR将遵循基于不同类型数据和先进分析方法开发数字孪生模型的现代方法,消除了直接连接真实的飞行器和虚拟模型的需要,并通过ML和AI建立这种连接。AVATAR致力于加速空中交通的数字化转型,尤其是在城市环境中。AVATAR将首先通过风洞测试验证其创新技术的有效性,然后对EVEKTOR的超轻型眼镜蛇飞机和北欧之翼的Asphalt电动无人机进行真实的飞行测试。联合体成员由工业领导者组成,(Evektor、Nordic Wing和NTT),排名靠前的大学(帝国理工学院伦敦、拉夫堡大学、卢森堡大学)和领先的研究机构(丹麦技术研究所)。AVATAR通过小型飞机制造商的参与,为加速空中交通的数字化转型做出了贡献,特别是在城市环境中(Evektor,Nordic Wing)和世界领先的全球技术服务(NTT)通过利用基于机器学习的开发对数据和人工智能进行智能分析,提供连接和通信链路。Evektor(EVE)是一家欧洲领先的公司,参与飞机和飞机部件的完整开发,包括认证。Nordic Wing(NW)在制造用于测绘和测量的固定翼无人机方面处于领先地位。AVATAR在技术上由伦敦帝国理工学院航空系的SI&HM集团领导,并由Evektor管理。
英文摘要
AVATAR is dedicated to developing a digital twin by continuously monitoring the operation of transformative air vehicles (TAV) through an innovative smart Internet of Things (IoT) sensing skin, informed by accurate physical models and advanced analytics, resulting in reduced direct operative costs, extended service life and safer skies. AVATAR’s digital twin (DT) model will act in parallel to the real structure and provides, where necessary, an early warning of operational behaviour that deviates from expected (simulated) behaviour contributing towards a predictive maintenance concept. Additionally, by recording the actual load spectrum that each air vehicle experiences during every flight, it will optimize the individual vehicle’s service life, which contributes towards safe and sustainable air mobility.The IoT sensing skin proposed by AVATAR is a key enabler for real-time critical operational information acquisition and connectivity between the physical aircraft and the digital counterpart through wireless communication. AVATAR DT platform will provide a seamless integration of IoT, big data and machine learning to collect, compute and predict. AVATAR will conform to the modern approach towards developing a digital twin based on different types of data and advanced analytical methods which eliminates the need for the real air vehicle and the virtual models to be directly connected and builds this connection through ML and AI. AVATAR contributes to the acceleration of digital transformation of air mobility, particularly in urban setting.AVATAR will validate the effectiveness of its innovative technologies first through wind tunnel testing, followed by real flight test of EVEKTOR’s ultralight Cobra airplane and Nordic Wing’s Astero electric unmanned aircraft. The consortium members consist of a good balance of industrial leads (Evektor, Nordic Wing and NTT), top-ranked universities (Imperial College London, Loughborough University, University of Luxembourg) and leading research institutes (Danish Technological Institute).AVATAR contributes to the acceleration of digital transformation of air mobility, particularly in urban setting by involving small aircraft manufacturer (Evektor, Nordic Wing), and world leading global technology services (NTT) providing the connectivity and communication link through intelligent analysis of data and AI leveraging machine learning-based developments. Evektor (EVE) is a leading European company involved with complete development of aircraft and aircraft components, including certification. Nordic Wing (NW) is in the fore front of manufacturing fixed-wing drone for mapping and surveying. AVATAR is technically lead by the SI&HM group at the department of Aeronautics, Imperial college London, and managed by Evektor.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
超灵敏高分辨的Digital-CRISPR技术用于免扩增的多重核酸检测
  • 批准号:
    22104048
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    陈勇
  • 依托单位:
基于Digital Twin的数控机床智能运行维护方法研究
  • 批准号:
    51875323
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2018
  • 负责人:
    胡天亮
  • 依托单位:
基于数字PCR(digital-PCR)技术的耳聋无创产前检测研究
  • 批准号:
    LQ19H040016
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2018
  • 负责人:
    严恺
  • 依托单位:
基于Digital LAMP技术的循环肿瘤细胞检测和分型新方法研究
  • 批准号:
    81702102
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2017
  • 负责人:
    王纪东
  • 依托单位: