Automated heavy lift planning and animation system

加拿大的工业项目在很大程度上依赖于使用移动的起重机，协助起重和安装重型预制模块。有效地管理昂贵的重型起重机起重作业对这些项目的成功至关重要，因为规划不足可能导致成本超支和进度延误。此外，由于涉及的起重机的尺寸和典型工业项目的现场拥挤，规划中的准备不足可能会导致起重机车身与周围环境发生碰撞。当前重型起重规划实践中的一个挑战是冗长且容易出错的手动规划过程，其中对项目范围或设计的任何改变都可能导致重新规划起重机操作。因此，为了提高效率并避免规划过程中的错误，合作伙伴公司一直在与阿尔伯塔大学合作，开发实现自动化重型起重研究的方法。在VB.Net环境下开发了一个集成的起重机管理系统--高级起重机规划与优化（ACPO）系统，可以自动选择起重机位置、检查起重机的起重能力、执行起重路径检查以及规划起重机行走路径。然而，在此之前的研究的目标，起重机步行负载和三维动画模型的起重机操作可视化需要加强。因此，本研究的重点将是增强先前构建的ACPO系统（完成起重机行走和3D动画模型），以及扩展ACPO范围。这将通过现场边界修改、在线和螃蟹行走规划、4D动画、碰撞检测、起重机偏好分析、CO2排放分析、双起重机起重机规划和高级起重机/配置选择来实现。

Industrial projects in Canada rely heavily upon the use of mobile cranes, which assist with the lifting and installation of heavy prefabricated modules. Efficiently managing costly heavy crane lift operations is critical to the success of these projects, where insufficient planning may result in cost overruns and schedule delays. In addition, due to the size of the cranes involved and the site congestion of typical industrial projects, insufficient preparation in planning can cause collisions between the crane body and the surroundings. A challenge in current heavy lift planning practice is the lengthy and error-prone manual planning process, where any change to the project scope or design may lead to re-planning of the crane operations. Thus, in order to improve the efficiency and avoid errors in the planning process, the partner company has been working with the University of Alberta to develop methodologies by which to achieve automated heavy lift studies. An integrated crane management system, the advanced crane planning and optimization (ACPO) system, was developed in the VB.Net environment to automatically select the crane location, check the crane's lifting capacity, perform the lift path checking, and plan the crane walking paths. Among the objectives of this previous study, however, the crane walking with load and the 3D animation model for crane operation visualization need to be enhanced. The focus of this study will thus be on the enhancement of the previously built ACPO system (completing the crane walking and 3D animation model), as well as on extending the ACPO scope. This will be achieved through site boundary modification, in-line and crab walking planning, 4D animation, collision detection, lift preference analysis, CO2 emission analysis, two-crane lift planning, and high-level crane/configuration selection.