Adaptive Learning for Zero Defects in Building Construction

自适应学习实现建筑施工零缺陷

• 批准号: 104792
• 金额: $ 24.55万
• 依托单位: TR CONTROL SOLUTIONS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104792
• 关键词: Adaptive; Learning; Zero; Defects; Building

"According to the industry-led, Get It Right Initiative, the total cost of avoidable errors in the UK construction industry is £10-£25Bn per annum (or 10%-25% of project cost).If these errors could be reduced, then buildings could be built at lower cost and more buildings could be constructed with the same labour and materials, thus increasing productivity.Sometimes defects (caused by errors) are not detected when the building is completed and handed over to the occupants, and they persist for many months or even years. So by reducing these defects, the quality of the environment in which people live and work will be improved. An undiscovered defect may also endanger the occupants of a building.Buildings may also use more energy and water than they were designed to because of defects, leading to higher bills, energy waste and unnecessary carbon dioxide emissions to the atmosphere.Defects often occur due to insufficient site supervision and poor communication with site operatives. Sometimes operatives are reluctant to ask for clarification because they are concerned about appearing ignorant or inadequate. This can result in tasks being performed incorrectly leading to defects.Defects (sometimes called 'snags') are often discovered during an inspection. When a defect is discovered it can be a time-consuming and costly process to correct the problem.The aim of this project it to achieve the construction of buildings with zero defects. The zero defects philosophy was promoted in the automotive manufacturing sector more than 30 years ago and we now have better quality cars, that cost less (relatively) than those made in the 1970s.Our project aims to achieve fewer defects by preventing their occurrence, rather than by detecting and fixing them. This is far preferable because it will lower the overall cost of construction and also prevent delays.Our proposed innovation (to be based upon this feasibility study) will use computer technology (mobile and cloud) and Artificial Intelligence (AI) to check that a site operative understands the task that they are being asked to perform. If they don't, it will attempt to explain it to them in a way that they can understand. If the system is not satisfied that the instructions have been understood it will alert a supervisor.In this way it will prevent defects that might have occurred because of a lack of understanding. As the system is used it will learn more about defects and defect prevention."

根据行业主导的Get It Right倡议，英国建筑业每年可避免的错误的总成本为100亿GB(或项目成本的10%-25%)。如果这些错误能够减少，那么建筑就可以以更低的成本建造，更多的建筑可以用同样的劳动力和材料建造，从而提高生产率。有时，当建筑完工并移交给居住者时，(由错误引起的)缺陷没有被发现，这些缺陷会持续几个月甚至几年。因此，通过减少这些缺陷，人们生活和工作的环境质量将得到改善。未被发现的缺陷也可能危及建筑物的居住者。建筑物也可能因为缺陷而消耗比设计更多的能源和水，导致更高的账单、能源浪费和不必要的二氧化碳排放到大气中。缺陷往往是由于工地监督不足和与工地工作人员沟通不足而发生的。有时，特工不愿要求澄清，因为他们担心显得无知或不称职。这可能会导致任务执行不正确，从而导致缺陷。缺陷(有时称为“障碍”)经常在检查过程中被发现。当发现一个缺陷时，纠正这个问题可能是一个耗时和昂贵的过程。这个项目的目标是实现建筑的零缺陷。零缺陷理念是30多年前在汽车制造领域推广的，我们现在拥有质量更好的汽车，成本(相对)低于20世纪70年代制造的汽车。我们的项目旨在通过防止缺陷发生而不是通过检测和修复缺陷来实现更少的缺陷。这是更可取的，因为它将降低总体建设成本，并防止延误。我们提出的创新(基于此可行性研究)将使用计算机技术(移动和云)和人工智能(AI)来检查现场操作人员是否理解他们被要求执行的任务。如果他们不这样做，它将试图以他们能够理解的方式向他们解释。如果系统不满意说明已经被理解，它将通知主管。这样，它将防止由于缺乏理解而可能发生的缺陷。随着该系统的使用，它将了解更多关于缺陷和缺陷预防的知识。