DAFNI-ROSE

基础设施是现代社会的支柱。在我们的日常生活中，我们依赖于水和能源的供应、公路、铁路和其他交通网络、通信网络、废物处理和回收，以及我们生活和工作的建筑物。这些系统的工作方式对我们的经济、社会和物质福祉以及自然环境都有重大影响，特别是在气候变化的背景下。因此，基础设施投资被视为繁荣的驱动力。英国的国家基础设施战略制定了政府复兴基础设施的计划，包括数千亿英镑的公共和私人投资。然而，这将对经济、社会和环境产生什么影响，目前还不清楚。这种不确定性源于基础设施系统的复杂性及其与人和环境的交互。EPSRC支持的大学研究一直在积极开发计算机模型，以模拟基础设施并探索其影响，以支持决策。然而，由于努力分散，以及当地资源有限，无法将模型扩展到国家基础设施复杂性所需的范围和细节，这阻碍了研究。DAFNI的目标是允许研究人员使用最先进的建模、模拟和可视化技术，以便更好地了解和发展战略思维。Dafni已经开发出来，这要归功于EPSRC的800万GB资本投资，这是英国基础设施和城市研究合作学院的一部分，这样研究人员就可以在带有中央数据库的通用计算系统上运行模型。使用尖端计算机，模型和模拟可以扩展到更大的覆盖范围和分辨率。协作者可以将平台用作共享工作空间，来自不同部门的模型结合在一起，使用来自不同来源的数据来探索他们的交互。Dafni还提供了一个遗产，一个可以在项目生命周期之外使用模型和数据的地方。2021年3月，Dafni将完成由EPSRC资助的开发阶段，并准备为基础设施研究社区提供服务。Dafni-Rose隶属于EPSRC的纯资源战略设备基金，将提供必要的资源，使Dafni免费供研究人员使用，并继续在计算和数据密集型计算的前沿领域发展。为Dafni-ROSE提供的两年资金将扩大Dafni的用途和能力，支持EPSRC的工程和相关计划。它将扩展在开发阶段建立的关系，这样更多的用户和项目可以从对Dafni的投资中获益。Dafni-Rose还将把目光投向学术界以外的领域，与政府和行业建立合作。关键的用户群体是培养技能的研究型学生，以探索基础设施的建模。Dafni-ROSE将包括一项培训计划，以培养熟悉数据密集型设计和规划工具的下一代基础设施工程师。数字双胞胎是改变国家基础设施效率和可靠性的机会。在数字双胞胎系统中，来自真实系统的数据被馈送到运行中的计算机模拟中，以预测结果，然后可以反馈到真实系统以引导其方向。Dafni-Rose将为联合的国家基础设施数字孪生兄弟提供一个平台，耦合不同的模拟模型，这些模型将共同促进国家范围内的数字孪生兄弟。基础设施还影响到广泛的其他领域，包括环境、我们在哪里和如何生活、我们的经济和我们的健康。Dafni-Rose将发展跨学科的合作，探索建筑、人类和自然环境之间的丰富互动。

Infrastructure provides the backbone of modern societies. In our daily lives, we depend on supplies of water and energy, road, rail and other transport networks, communication networks, and waste disposal and recycling, as well as the buildings we live and work in. How these systems work has a major impact on our economic, social and physical well-being, and also on the natural environment, particularly in the light of climate change. Consequently, infrastructure investment is seen as a driver for prosperity. The UK's National Infrastructure Strategy sets out the government's plan for a renaissance in infrastructure, with hundreds of billions of pounds of public and private investment. However, the impact this will have on the economy, society and the environment, is not clearly understood. This uncertainty results from the complexity of infrastructure systems and their interaction with people and the environment.University research supported by EPSRC has been actively developing computer models to simulate infrastructure and explore its impact, to support decision making. However, research is hampered by fragmentation of effort, and limitations of local resources to scale models to the range and detail required for the complexity of national infrastructure. Particular limitations are access to quality data and combining models from different sectors together into "system-of-systems" models.DAFNI's vision is to allow researchers to use state-of-the-art modelling, simulation and visualisation to better inform and develop strategic thinking. DAFNI has been developed, thanks to an £8 million capital investment from EPSRC as part of the the UK Collaboratorium for Research on Infrastructure and Cities, so researchers can run models on a common computing system with a central repository of data. Using cutting edge computers, models and simulations can be scaled to greater coverage and resolution. Collaborators can use the platform as a shared workspace, and models from different sectors combined to explore their interactions using data from different sources. DAFNI also provides a legacy, a place where models and data can be used beyond the lifetime of a project.In March 2021 DAFNI will complete its development phase funded by EPSRC, and will be ready to deliver a service to the infrastructure research community. DAFNI-ROSE under EPSRC's Resource-Only Strategic Equipment fund, will provide resources essential to make DAFNI freely available for researchers and continue its development at the cutting edge of compute and data-intensive computing. Two years of funding for DAFNI-ROSE will widen the usage and capability of DAFNI, supporting EPSRC's Engineering and related programmes. It will extend the relationships established in the development phase, so more users and projects can reap the benefits of the investment in DAFNI. DAFNI-ROSE will also look beyond academia, engaging government and industry to build collaborations.A key group of users are research students developing skills to explore modelling of infrastructure. DAFNI-ROSE will include a programme of training to develop the next generation of Infrastructure Engineers familiar with data intensive tools for design and planning.Digital Twins are an opportunity to transform the efficiency and reliability of national infrastructure. In a digital twin, data from real systems are fed into a running computer simulation, to predict outcomes that can then be fed back to the real system to steer its course. DAFNI-ROSE will provide a platform for a federated national infrastructure digital twin, coupling diverse simulation models that will together contribute to digital twins that are national in scope.Infrastructure also affects a wide range of other areas, including the environment, where and how we live, our economy and our health. DAFNI-ROSE will develop collaborations across disciplines to explore the rich interaction between the built, human and natural environments.