DART (Digital Automated Retrofit Toolset)

价值10万亿美元的建筑业目前依赖于手工劳动密集型流程，生产率下降，采用新技术的速度缓慢。它受到COVID-19危机的严重影响，其技术采用率低[][0]可能会极大地阻碍疫情后的复苏。现有建筑物的维修和升级尤其具有挑战性，可以概括为：* 效率低下，依赖于重复的、手工的、费力的过程; * 高度可变，取决于个人的专业知识和解释; * 依赖于很少访问、共享或传播的信息; * 未能从过去的错误中吸取教训。英国政府已通过立法，到2050年实现净零碳排放。许多地方政府已经宣布进入碳紧急状态，并设定了到2030年提前20年实现净零碳排放的目标。然而，英国拥有欧洲效率最低的住房存量（能源保护协会，2015年），家庭能源使用约占英国温室气体排放量的14%（气候变化委员会，2019年）。为了应对气候变化的挑战，需要做出前所未有的努力，将英国2800万套房屋（住房、社区和地方政府部，2019年）升级到现代标准。任务的规模和必要的时间表意味着改造必须在不牺牲质量的情况下以具有成本效益的方式大量交付。当面临通过全屋改造或管理英国2800万户家庭的维护来减少气候变化的挑战时，目前的预算是完全不够的。该项目将重新思考如何通过将建筑环境与最先进的数字，测量和人工智能技术连接起来来测量，维护和改造建筑物。目前，测量建筑物和改造过程是费力的，定制的，高度可变的，依赖于个人的专业知识和解释，而吸取的经验教训很少分享。在许多情况下，调查仍然用笔和纸进行。当使用数字技术时，它通常只不过是笔和纸的平板电脑版本。Q-Bot将抓住这一机遇，通过开发一种独特的解决方案，将改造过程带入世纪，该解决方案可以调查建筑物，确定其需求，管理过程中固有的风险，选择和设计最具成本效益的升级路径，管理规范，采购和安装能源效率措施，以确保选择最佳的改造解决方案，并验证安装和措施翻新后的性能。[0]：#_mill_1

The $10 trillion construction industry currently relies on manual, labour-intensive processes, has falling productivity and is slow to adopt new technologies. It has been severely affected by the Covid-19 crisis and its low rate of technology adoption is likely[][0] to greatly hinder the post-pandemic recovery. The repair and upgrade of existing buildings is particularly challenging and can be broadly characterised as: * inefficient, relying on repetitive, manual, laborious processes; * highly variable and subject to individual expertise and interpretation; * depends on information that is rarely accessible, shared or disseminated; * failing to learn from past mistakes. The UK government has passed legislation to reach net zero carbon emissions by 2050\. Many local authorities have declared a carbon emergency and set targets to reach net zero carbon emissions two decades sooner, by 2030\. However, the UK has some of the least efficient housing stock in Europe (Association for the Conservation of Energy, 2015) and energy use in homes accounts for approximately 14% of UK greenhouse gas emissions (Committee on Climate Change, 2019). An unprecedented effort will be needed to upgrade the UK's 28 million homes (Ministry of Housing, Communities & Local Government, 2019) to modern standards in order to meet the challenge of climate change. The scale of the task and the necessary timescales mean that retrofits must be cost effectively delivered at volume and without sacrificing quality. Current practises are entirely inadequate when faced with the challenge of reducing climate change through whole-house retrofit, or managing the maintenance of the UK's 28 million homes. This project will rethink how buildings are surveyed, maintained and retrofitted by connecting the built environment with state of the art digital, surveying and AI technologies. Surveying buildings and the retrofit process, is currently laborious, bespoke, highly variable, reliant on individual expertise and interpretation, while lessons learned are rarely shared. In many cases surveys are still performed with pen and paper. When digital technology is employed it is often little more than a tablet version of pen and paper. Q-Bot will address this opportunity and bring the retrofit process into the 21st century by developing a unique solution that can survey a building, identify its needs, manage the risks inherent with the process, select and design the most cost-effective upgrade path, manage the specification, procurement and installation of energy efficiency measures to ensure the optimal retrofit solutions are selected and verify the installation and measure performance post-retrofit. [0]: #_msocom_1