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Automated data collection in tall building construction

Automated data collection in tall building construction
高层建筑施工中的自动数据收集
批准号:
RGPIN-2017-06792
负责人:
McCabe, Brenda
金额:
$1.53万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
预想是一个自动化系统,在真实的现场条件和虚拟世界之间架起了桥梁。室内施工,涉及到新建和翻新,尤其难以自动跟踪,部分原因是由于密闭空间的拥挤,多变的光照条件和不断变化的工作环境。在工作日结束时,设想的系统将检查建筑项目的数字设计和进度模型,即4D建筑信息模型或4D- bim,以确定进度和质量检查的位置并确定优先顺序。在确定访问每个地点的最有效路径后,将派遣无人机(UAV)。将开发一种创新的无人机导航系统,专门针对室内环境,允许无人机自主,弹性和安全操作,从而使无人机知道它在哪里,它需要去哪里,以及如何有效和安全地到达那里。提取的有关施工进度的位置、数量和质量的信息将随后反馈给4D-BIM。此外,还提出可以通过动画和交互式显示技术(如数字洞穴)将这些信息可视化。这个循环过程在整个施工阶段持续进行,并确保将实际情况顺利、可互操作和准确地集成到设计模型中。与该提案相关的研究挑战是开发和集成用于受限空间的无人机自主导航系统,实时路径规划和数据捕获优先排序方法,以及与可视化工具通信的通用软件独立框架。****这项跨学科研究的结果可以提高项目经理在网站上的技术可访问性。允许用户直接与BIM设计进行交互和更改的潜力,例如通过沉浸式环境(例如数字洞穴或谷歌眼镜)移动或改变门的摆动方向,这是令人兴奋的。跟踪建筑的进度状态——什么已经建成,什么还没有建成——可以对建筑行业产生重大影响。实时数据可以为业主和承包商提供基于证据的决策和创新支持。这个设想的系统将促进完整的态势感知,简化建筑数据的收集、分析和可视化
英文摘要
Envisioned is an automated system that bridges the gap between real field conditions and the virtual world. Indoor construction, which relates to new construction and renovations, is especially difficult to track automatically due in part to congestion in confined spaces, variable light conditions, and continually changing work environment. At the end of the workday, the envisioned system will examine the digital design and schedule model, known as 4D building information models or 4D-BIMs, of the construction project to identify and prioritize locations for progress and quality inspections. After determining the most efficient path to visit each location, an unmanned aerial vehicles (UAV) will be dispatched. An innovative UAV navigation system will be developed specific to indoor environments to allow autonomous, resilient, and safe operation of UAV, thereby allowing the UAV to know where it is, where it needs to go, and how to get there efficiently and safely. The information extracted about the location, quantity, and quality of progress of construction will then be communicated back to the 4D-BIM. Further, it is proposed that this information can be visualized in animating and interactive display technologies such as digital caves. This cyclic process continues throughout the construction stage and ensures smooth, interoperable, and accurate integration of real-world conditions into design models. The research challenges related to this proposal are the development and integration of an autonomous navigation system for UAV in confined spaces, a real time path planning and data capture prioritization method, and a generalized software-independent framework to communicate with visualization tools.****The outcomes of this interdisciplinary research can improve the accessibility of technology for project managers on the site. The potential to allow the user to directly interact with and make changes in a BIM design, such as moving or changing the direction of swing of a door, through an immersive environment, such as digital caves or google glasses, is exciting. Tracking the state of progress in construction – what has been built and what has not – can have a major impact on the construction industry. Real time data can support the owner and the contractor with evidence-based decision making and innovation. This envisioned system would facilitate complete situational awareness, streamlining collection, analysis, and visualization of construction data.***
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Automated data collection in tall building construction
  • 批准号:
    RGPIN-2017-06792
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2021
  • 负责人:
    McCabe, Brenda
  • 依托单位:
BIM-driven productivity improvements for the Canadian construction industry
  • 批准号:
    530550-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $7.81万
  • 财政年份:
    2020
  • 负责人:
    McCabe, Brenda
  • 依托单位:
Automated data collection in tall building construction
  • 批准号:
    RGPIN-2017-06792
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2020
  • 负责人:
    McCabe, Brenda
  • 依托单位:
BIM-driven productivity improvements for the Canadian construction industry
  • 批准号:
    530550-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $10.41万
  • 财政年份:
    2018
  • 负责人:
    McCabe, Brenda
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: