Automated Selection and Localization of Mobile Cranes in Construction Planning

Abstract

Accurate selection and location of mobile cranes is a critical issue on construction sites, being able to contribute to the improvement of the safety and efficiency of lifting operations. Considering the complexities and dynamics of construction sites, this study aimed to develop a useful approach for automated selection and localization of mobile cranes based on the simulation of crane operations. First, the information required for crane selection and localization is analyzed and extracted from BIM (building information modeling). Then, mainly considering the crane capacity, the initial crane type is selected with candidate location points. Based on the simulation of lifting operation at the candidate points, feasible location points and crane types are determined through three constraint checks (i.e., environment constraint, operation constraint, and safety constraint). Besides, two kinds of efficiency optimization, namely lifting time minimization and crane movement minimization, are presented to figure out the best location points from the feasible points. Finally, the proposed approach is validated using a case study. This research contributes to not only crane operation planning but also automatic construction simulation, thus supporting the implementation of intelligent construction in the future.

Enhancing Efficiency in Industrial Metal Roof Replacement: Utilizing Goal Programming for Cost Optimization

“…Metal roofing panels, flashing, insulation, and other components are carefully arranged and prepared for effective installation. Effective coordination among the crane operator, roofing contractors, and other personnel is crucial to optimise workflow and reduce downtime [14].…”

“…In previous studies by [14], managers often grapple with optimising project implementation while considering time, cost, and quality objectives. To address this, the balancing method, a prevalent approach, is employed to harmonise these three facets effectively.…”

A Predictive Analytics Framework for Mobile Crane Configuration Selection in Heavy Industrial Construction Projects

“…In the past decades, the selection of cranes and their location on the job site is often made manually and largely dependent on the design of the building. This method, manual planning through trial and error based on the site shape, is inefficient and error-prone in today's construction projects, where projects become more and more complex [1,5,6].…”

“…(2) optimum crane location; (3) crane path planning; (4) the usage and coordination of multiple cranes; and (5) simulation and visualization of crane operation [5][6][7][8][9].…”

“…(2) load dimension; (3) the maximum load to be lifted; (4) the maximum radius at which a load has to be placed; and (5) the depth of placement [6,9].…”