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

起重机变得越来越复杂，能够提升更重的负载，因此变得越来越大和更重。电梯工程师需要做出复杂的决策，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工程设计，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投标中具有竞争优势，但只有当工程师具有起重机操作的替代索具选项并能够快速评估几种可能的解决方案时，优化的索具选择才有效。这需要努力组织、分类和不断更新现有的索具组件数据库。在这种情况下，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个大型的起重机车队，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，用于根据能力，现场布局几何形状和手头项目的适当索具选择最合适的起重机;将开发一种用于定位移动的起重机的通用算法;并将使用可视化和动画验证理论分析的输出。所开发的选择、定位和操作移动的起重机的方法消除了设备猜测，并将通过提高现场设备的利用率来节省大量资金，从而提高加拿大油砂开发业务的竞争力和盈利能力。这项研究还将提高移动的起重机操作的安全性，目前这是建筑工地受伤和生产力损失的重要原因。最后，提高起重机操作的效率，同时减少由于操作计划不佳、猜测或暂停设备故障而导致的停工的可能性，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.