Abstract Hoisting operations are an essential part of petrochemical plant construction. The pre-layout planning of hoisting facilities, including hoisted objects and cranes, is the key to ensuring the success of the entire construction. However, most current site layout planning methods optimize construction facilities from the 2D plane space, which makes the safety of large-scale hoisting difficult to guarantee. This work proposes an unmanned-aerial-vehicle-based 3D reconstruction for hoist site mapping and layout planning. The core of this study is to utilize real-time 3D spatial information as a constraint for hoisting facility layout planning. Improved image-based modeling techniques are used to reconstruct the 3D construction site model in real-time. The geometric parameters extracted by the site model support the mathematical programming model presented in this work for a safe and efficient rapid layout planning. The C101 tower hoisting in the construction of the Wuhan Petrochemical Plant is used to verify the effectiveness of the method. Calculation results show that the method can push the position and save planning time intelligently. Furthermore, this method can provide a new solution to hoisting safety and efficiency.

中文翻译：

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基于无人机的石油化工建设中提升现场测绘和布局规划的3D重建

摘要 起重作业是石油化工厂建设的重要组成部分。包括被吊物和起重机在内的起重设施的预布置规划是确保整个施工成功的关键。然而，目前大多数场地布局规划方法都是从二维平面空间优化施工设施，使得大型吊装的安全性难以保证。这项工作提出了一种基于无人机的 3D 重建方案，用于吊机现场测绘和布局规划。本研究的核心是利用实时 3D 空间信息作为起重设施布局规划的约束。改进的基于图像的建模技术用于实时重建 3D 施工现场模型。场地模型提取的几何参数支持本文提出的数学规划模型，以实现安全高效的快速布局规划。以武汉石化厂建设中C101塔吊装为例验证了该方法的有效性。计算结果表明，该方法可以智能推送位置，节省规划时间。此外，这种方法可以为起重安全和效率提供新的解决方案。