DART (Digital Automated Retrofit Toolset)

DART（数字自动化改造工具集）

• 批准号: 78960
• 金额: $ 7.53万
• 依托单位: Q-BOT LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 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=78960
• 关键词: DART; Digital; Automated; Retrofit; Toolset

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

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，生产率不断下降，采用新技术的速度也很慢。它受到了新冠肺炎危机的严重影响，其低技术采用率可能会极大地阻碍疫情后的恢复。现有建筑物的维修和升级尤其具有挑战性，可概括为：*效率低下，依赖重复的、手工的、费力的过程；*高度可变，并取决于个人的专门知识和解释；*依赖于很少获得、分享或传播的信息；*未能从过去的错误中吸取教训。英国政府已通过立法，力争在2050年前实现净零碳排放。许多地方当局已经宣布进入碳紧急状态，并设定了提前20年，到2030年实现净零碳排放的目标。然而，英国拥有一些欧洲最低能效的住房存量(节能协会，2015)，家庭能源使用约占英国温室气体排放的14%(气候变化委员会，2019年)。为了应对气候变化的挑战，英国需要做出前所未有的努力，将英国2800万套住房(住房、社区和地方政府部，2019年)升级到现代标准。这项任务的规模和必要的时间表意味着，必须在不牺牲质量的情况下，以成本效益高的方式批量交付翻新。面对通过全屋翻新来减少气候变化的挑战，或者管理英国2800万户家庭的维护，目前的做法是完全不够的。该项目将通过将建筑环境与最先进的数字、测量和人工智能技术相结合，重新思考如何测量、维护和翻新建筑。调查建筑物和翻新过程目前是费力的、量身定做的、高度多变的、依赖于个人的专门知识和解释，而吸取的经验教训很少分享。在许多情况下，调查仍然是用笔和纸进行的。当使用数字技术时，它往往只不过是平板电脑版的纸和笔。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21世纪，该解决方案可以测量建筑物，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，管理能效措施的规范、采购和安装，以确保选择最佳的改造解决方案，并验证安装和测量改造后的性能。[0]：#_msocom_1