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
• 金额: $ 48.77万
• 依托单位: TEKTOWR LTD
• 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
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=75825
• 关键词: SMARTER; 4D; Cloud; based; Simulation

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.

SMARTER是ATM / UTM联合空域的四维数字孪生模型。使用新的机器学习/深度强化学习技术，SMARTER将解决未来飞行挑战赛的问题陈述2所带来的挑战。SMARTER将：* 基于大规模多人在线游戏（MMOG）技术，提供一个创新的、协作的、基于云的仿真即服务环境，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仿真。学习，推断和推导出新的规则，需要适应安全和有效的（环境和商业）管理的组合ATM和UTM交通（无论是非隔离，较低的空域和航路交通）。这些规则可用于支持无人机操作员和空中导航服务提供商（ANSP）的CAP 670、CAP 722、艾德-109 A、DO-178 C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，包括模拟传感器故障/低覆盖区域、天气、人口密度、无人机失控、通信丢失、特殊使用区域/危险区域。SMARTER将了解每架飞机、空域以及系统中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，以消除与确定当前空域状态的单一真实来源相关的不确定性，因为传感器、测量、雷达（主要和次要监视）、ADS-B（通过卫星通信）等数据输入的多样性，所有这些都处于不同的数据质量水平。开发下一代交钥匙式4D可视化和用户体验技术，通过触觉控制将空域操作游戏化-从集中式云服务器流式传输到标准PC、移动终端或4D可视化设备（例如Occulus Rift等）。这有助于快速场景测试。用户将能够获得一个帐户，登录并使用环境，而无需购买任何专用设备。由于该环境是基于云的，它将提供一个按需协作决策环境，多个利益相关者可以在此共同努力，就容量和分离管理标准达成共识，同时尊重小型中小企业的商业限制。（例如无人机操作员），SMARTER将使用新兴的ATM数据标准（如WIXM / FIXM / AIXM）无缝集成到ANSP运营中。此外，SMARTER提供的仿真环境不仅可用于促进安全、高效的间隔管理规则的制定，还可用于培训无人机操作员、空中交通管制员甚至飞行员。