课题基金 / 基金详情

Adaptive Learning for Zero Defects in Building Construction

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
负责人:
金额:
$24.55万
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
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
“根据行业主导的Get It Right Initiative,英国建筑业可避免错误的总成本为每年100亿至250亿英镑(或工程成本的10%-25%)。如果这些误差能够减少,那么建筑物可以以更低的成本建造,并且可以用相同的劳动力和材料建造更多的建筑物,因此提高了生产率。有时,当建筑物完工并移交给使用者时,(由错误引起的)缺陷没有被发现,并且这些缺陷持续数月甚至数年。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使用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。缺陷通常是由于现场监督不足以及与现场操作人员沟通不良而发生的。有时,操作员不愿意要求澄清,因为他们担心显得无知或不充分。这可能导致任务执行不正确,从而导致缺陷。缺陷(有时称为“障碍”)通常在检查过程中发现。当发现缺陷时,纠正问题可能是一个耗时且昂贵的过程。该项目的目的是实现零缺陷建筑的建设。30多年前,零缺陷理念在汽车制造业得到推广,现在我们拥有质量更好的汽车,成本(相对)低于20世纪70年代的汽车。我们的项目旨在通过预防缺陷的发生,而不是通过检测和修复来减少缺陷。这是更可取的,因为它将降低施工的总体成本,并防止延误。我们提出的创新(将基于此可行性研究)将使用计算机技术(移动的和云)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,它将试图以他们可以理解的方式向他们解释。如果系统不满意指令被理解,它会提醒主管,这样就可以防止由于缺乏理解而可能发生的缺陷。随着系统的使用,它将了解更多关于缺陷和缺陷预防的信息。"
英文摘要
"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."
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: