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Crane operation assisted planning and optimization

Crane operation assisted planning and optimization
起重机操作辅助规划和优化
批准号:
561098-2020
负责人:
Bouferguene, Ahmed
金额:
$7.85万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
在对大型模块化项目进行投标时,特别是在现场组装的范围内,成功的可能性取决于:(i)对业主要求的变化作出快速反应的能力;以及(ii)能够清楚地表示起重机操作的所有细节,包括:(a)起重机选择;(b)拾取点的位置;(c)吊车路径规划;(d)数字升降机动画,强调正确的索具配置,起重机摆动方向和潜在的升降机障碍。解决这些操作细节的投标提案向业主发出信号,表明支持者的工程团队不仅已经彻底调查和了解了项目的各个方面,而且还能够将这些元素整合到动画平台中,以帮助利益相关者(包括业主)完善他们对替代组装方案的理解,从而进行知情的招标过程。在这种情况下,拟议研究的关键成果将是一个决策支持系统,该系统可以基于项目中每个升降机的3D模拟,为整个项目生成4级起重机时间表(4D),从而形成成本估算(5D)的基础,用于招标、比较和执行。基于4D和5D信息的各种场景的生成将最终形成价值工程选择标准(6D)形式的优化方法,在此基础上,合作伙伴组织可以选择满足项目需求的最佳可用解决方案(即范围三角形)。本研究的潜在效益包括提高加拿大起重机服务企业的竞争力;由于起重机操作效率的提高,减少了建筑的碳足迹;改进设备选择(防止过度设计,从而减少地面准备和运输设备(如起重机部件,索具和起重机垫)的二氧化碳排放);并提高安全性(通过简化操作和改善升降机计划人员与索具人员/操作员之间的沟通)。
英文摘要
When bidding on large-scale modular projects, and specifically the scope of on-site assembly, the likelihood of success is governed by: (i) the capacity to respond rapidly to changes requested by owners; and (ii) the ability to clearly represent all the details of crane operations, including: (a) crane selection; (b) location of pick points; (c) crane path planning; and (d) a digital lift animation emphasizing proper rigging configuration, crane swing direction, and potential lift obstructions. A bidding proposal that addresses these operational details signals to the owner that the proponent's engineering team not only has thoroughly investigated and understood every aspect of the project, but is also able to integrate these elements within an animation platform to help the stakeholders (including the owner) refine their understanding of alternative assembly scenarios and thus conduct a well-informed tendering process. In this context, the key deliverable of the proposed research will be a decision-support system that can generate level-4 crane schedules for a complete project (4D), based on 3D simulation of each lift in the project, which can, in turn, form the basis of cost estimation (5D) for the purpose of bidding, comparison, and execution. The generating of various scenarios based on this 4D and 5D information will culminate in an optimization approach in the form of value engineering selection criteria (6D), based upon which the partner organization can select the best available solution that satisfies the project requirements (i.e., a scope triangle). The potential benefits of this research include increased competitiveness of Canadian crane service enterprises; reductions in the carbon footprint of construction due to increased efficiency of crane operations; improved equipment selection (preventing overdesign and thereby reducing CO2 emissions with respect to ground preparation and transportation of equipment such as crane components, rigging, and crane mats); and improved safety (through streamlined operations and improved communication between lift planners and rigging crew/operator).
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Using machine learning-based automation process to improve the productivity of CCTV inspections of municipal drainage systems
  • 批准号:
    RGPIN-2020-05384
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Bouferguene, Ahmed
  • 依托单位:
Using machine learning-based automation process to improve the productivity of CCTV inspections of municipal drainage systems
  • 批准号:
    RGPIN-2020-05384
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2021
  • 负责人:
    Bouferguene, Ahmed
  • 依托单位:
Design, selection, and management of modular crane rigging for heavy industrial projects
  • 批准号:
    518160-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $7.3万
  • 财政年份:
    2020
  • 负责人:
    Bouferguene, Ahmed
  • 依托单位:
Using machine learning-based automation process to improve the productivity of CCTV inspections of municipal drainage systems
  • 批准号:
    RGPIN-2020-05384
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2020
  • 负责人:
    Bouferguene, Ahmed
  • 依托单位:
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