Design, selection, and management of modular crane rigging for heavy industrial projects

起重机正变得越来越复杂，能够提升更重的负载，因此变得越来越大，越来越重。举升工程师需要做出复杂的决定，是开发定制设备，还是设计可多次使用的单元，从而确保足够的投资回报。虽然有些设备可以快速设计和定制，但大多数设备必须经过彻底的设计，这需要更长的设计时间和适当的代码测试。投资于油砂开发等重工业项目的前期索具设备工程的企业在项目竞标中获得了竞争优势，但优化索具选择只有在工程师有起重机操作的其他索具选择并能快速评估几种可能的解决方案时才有效。这需要努力组织、分类和不断更新现有的装配组件数据库。在此背景下，提出了一种最先进的索具管理方法。NCSG起重机和重型运输公司拥有一支大型起重机车队，这些起重机要么用于内部重型建筑项目，要么租给其他建筑商。为了扩大合作伙伴的服务范围，研究团队将建立一个通用的自动化系统，根据能力、现场布局几何形状和适当的索具来选择最合适的起重机。将开发一种通用的移动起重机定位算法；并将使用可视化和动画验证理论分析的输出。开发的移动起重机的选择、定位和操作方法消除了对设备的猜测，通过提高现场设备的利用率，将大大节省成本，从而提高加拿大油砂开发作业的竞争力和盈利能力。该研究还将提高移动起重机的安全性，目前移动起重机是建筑工地造成伤害和生产力损失的重要因素。最后，在提高起重机作业效率的同时，减少由于作业计划不佳、猜测或暂停设备故障而导致停工的可能性，也将有助于减少现场工作的排放。

Cranes are becoming increasingly complex, able to lift heavier loads, and thus are becoming larger and heavier. Lift engineers are required to make complex decisions whether to develop customized equipment or to design units that can be utilized multiple times and thereby ensure a sufficient return on investment. Although some equipment can be designed quickly and custom-made, most must be engineered thoroughly, which requires longer design time and proper code testing. Enterprises that invest in upfront rigging equipment engineering for heavy industrial projects such as oil sands developments achieve a competitive edge in project bidding, but optimized rigging selection is only effective if the engineer has alternative rigging options for crane operation and can quickly evaluate several possibly solutions. This requires an effort to organize, categorize, and continually update the existing rigging component database. In this context, a state-of-the-art rigging management approach is proposed. NCSG Crane & Heavy Haul Corporation owns a large fleet of cranes that are either used for internal heavy construction projects or rented to other builders. To expand the partner's range of services, the research team will build a generic and automated system for selecting the most appropriate crane based on capacity, site layout geometry, and appropriate rigging for the project at hand; will develop a versatile algorithm for locating mobile cranes; and will validate the output of theoretical analyses using visualization and animations. The developed approach for selecting, locating and operating mobile cranes eliminates equipment guesswork and will result in significant savings by improving the utilization of onsite equipment, thereby increasing the competitiveness and profitability of Canadian oil sands development operations. This research will also improve the safety of mobile cranes operations, which at present is a significant contributor to injury and lost productivity on construction sites. Finally, improving the efficiency of crane operations while reducing the likelihood of work stoppages due to poor operational planning, guesswork, or suspended equipment failure will also serve to reduce the emissions from onsite work.