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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
当投标大型模块化项目时,特别是现场组装的范围,成功的可能性取决于:(I)对业主要求的变化做出快速反应的能力;以及(Ii)清楚地表示起重机操作的所有细节的能力,包括:(A)起重机选择;(B)拾取点的位置;(C)起重机路径规划;以及(D)强调正确的索具配置、起重机摆动方向和潜在的电梯障碍物的数字升降机动画。一份涉及这些操作细节的投标建议书向业主发出的信号是,倡议者的工程团队不仅彻底调查和了解了项目的每一个方面,而且能够将这些要素整合到一个动画平台中,帮助利益相关者(包括业主)加深对替代组装场景的理解,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电梯的3D模拟,为整个项目(4D)生成4级起重机时间表,这反过来又可以形成用于投标、比较和执行目的的成本估计(5D)的基础。根据这一4D和5D信息生成各种方案将最终形成价值工程选择标准(6D)形式的优化方法,合作伙伴组织可以根据该标准选择满足项目要求的最佳可用解决方案(即范围三角形)。这项研究的潜在好处包括提高了加拿大起重机服务企业的竞争力;由于起重机作业效率的提高,减少了施工的碳足迹;改进了设备选择(防止过度设计,从而减少了地面准备和起重机部件、索具和吊车垫子等设备的运输方面的二氧化碳排放);以及提高了安全性(通过简化操作和改善电梯规划者和索具工作人员/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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