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SMARTER - A 4D, Cloud-based Simulation-as-a-Service Digital Twin of the Combined ATM / UTM Airspace

SMARTER - A 4D, Cloud-based Simulation-as-a-Service Digital Twin of the Combined ATM / UTM Airspace
SMARTER - ATM / UTM 联合空域的 4D、基于云的仿真即服务数字孪生
批准号:
75825
负责人:
金额:
$48.77万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
翻译
SMARTER是ATM / UTM空域组合的四维数字孪生体。使用新颖的机器学习/深度强化学习技术,SMARTER将解决未来飞行挑战赛问题陈述2中出现的挑战。智能意志:*基于大规模多人在线游戏(MMOG)技术,提供一个创新的、协作的、基于云的模拟即服务环境,在该环境中,数千架飞机(包括传统民用飞机、军用飞机和无人机)将基于真实世界数据和模拟数据进行模拟。*学习、推断和推知需要的新规则,以适应安全、有效(环境和商业)管理ATM和UTM联合交通(非隔离、较低空域和途中交通)。这些规则可用于支持无人机运营商和空中导航服务提供商(ansp)的CAP670、CAP722、ED-109A、DO-178C合规性的安全案例,并促进全球容量管理建模和协作决策。*允许用户(例如ansp)测试“假设”场景,包括建模传感器故障/低覆盖区域、天气、人口密度、无人机失去控制、通信中断、特殊使用区域/危险区域。smart将了解每架飞机、空域以及系统的系统需要如何做出反应,以满足安全和性能kpi。*开发新的数学技术,以描述与确定空域现状的单一真实来源相关的不确定性,因为来自传感器、测量、雷达(主要和次要监视)、ADS-B(通过卫星通信)等的数据输入的多样性,所有这些数据质量水平不一。*开发下一代,交钥匙4D可视化和用户体验技术与触觉控制,以游戏化空域的操作-从集中式,基于云的服务器流到标准PC,移动设备或4D可视化设备(如oculus Rift等)。这有利于快速的场景测试。用户将能够获得一个帐户,登录并使用该环境,而无需购买任何专门的设备。*由于环境是基于云的,它将提供一个按需协作的决策环境,多个利益相关者可以共同努力,就容量和分离管理标准达成共识,同时尊重小型中小企业(例如无人机运营商)、ansp和大型跨国原始设备制造商的商业限制。SMARTER将使用新兴的ATM数据标准(如WIXM / FIXM / AIXM)无缝集成到ANSP操作中。此外,smart提供的仿真环境除了可用于促进安全、高效的分离管理规则的制定外,还可用于培训无人机操作员、空中交通管制员甚至飞行员。
英文摘要
SMARTER is a Four-Dimensional Digital Twin of the Combined ATM / UTM Airspace. Using novel machine learning / deep reinforcement learning techniques, SMARTER will address challenges arising from problem statement 2 of the Future Flight Challenge. SMARTER will:* Based on Massive Multiplayer Online Game (MMOG) technology, provide an innovative, collaborative, cloud-based Simulation-as-a-Service environment where several thousand aircraft (both traditional civil aircraft, military aircraft and UAVs) will be simulated based on both real-world data and simulated data.* Learn, infer and deduce the new rules needed to accommodate the safe _and_ efficient (both environmentally and commercially) management of the combined ATM and UTM traffic (both for non-segregated, lower airspace and en route traffic). These rules can then be used in support of the safety case for CAP670, CAP722, ED-109A, DO-178C compliance for both UAV operators and Air Navigation Service Providers (ANSPs) and facilitate global capacity management modelling and collaborative decision making.* Allow users (e.g. ANSPs) to test "what-if" scenarios including modelling sensor failures / low coverage regions, weather, population density, loss of control of the UAV, loss of communications, special use areas / danger areas. SMARTER will learn how each aircraft, the airspace and indeed the system of systems is required to react in order to both meet safety and performance KPIs.* Develop novel mathematical techniques to characterise the uncertainty associated with ascertain the single source of truth for the presented state of the airspace given the multiplicity of data inputs from sensors, measurements, radar (both primary and secondary surveillance), ADS-B (over satellite comms), etc all of which are at varying levels of data quality.* Develop next-generation, turn-key 4D visualization and user experience techniques with haptic controls to gamify the manipulation of the airspace - streaming from centralized, cloud-based servers to either standard PC, mobile device or 4D visualization devices (e.g. Occulus Rift, etc.). This facilitates rapid scenario testing. Users will be able to get an account, log-in and use the environment without purchasing any specialized equipment.* Since the environment is cloud-based, it will provide an on-demand collaborative decision making environment where multiple stakeholders can work together to form a consensus on capacity & separation management standards whilst respecting the commercial constraints of both small SMEs (e.g. UAV operators), ANSPs and large multinational OEMs.SMARTER will use emerging ATM data standards (such as WIXM / FIXM / AIXM) for seamless integration into ANSP operations. Furthermore, as well as being used to facilitate the development of the safe, efficient separation management rules, the simulation environment provided by SMARTER can be used to train UAV operators, air traffic controllers and even pilots.
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  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    胡勤勤
  • 依托单位:
4D导向性动态生物材料的构建及其修复神经损伤的作用与机制研究