UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction

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.