An innovative crane-lift path planning system for high-rise modular integrated construction

Zhu, Aimin; Pan, Wei

doi:10.1007/s41693-022-00074-3

Cited by 3 publications

(1 citation statement)

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“…The proposed platform was demonstrated to be effective and informative in simulating various crane lifts. Zhu and Pan [ 38 ] established a theoretical foundation for automated crane-lift path planning and contributed to the application of metaheuristics in the construction industry. Zhou et al [ 39 ] proposed an improved RRT algorithm for lifting path planning of mobile cranes.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Analysis of the Positioning Accuracy in the Loading Systems of Mobile Cranes

2022

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In this work, the authors analyse the influence of the order and range of sequential movements of a crane’s working members on the accuracy of the final cargo positioning. The analysis was conducted on the basis of a specially developed method in which the authors proposed the introduction of a geometrical indicator of positioning the load in the intermediate positions (after completing each movement sequence) and in the target position, depending on the adopted control strategy and the accuracy of kinematic input of the working mechanisms (powered mechanisms). A mathematical model was presented to enable the accuracy of unidirectional positioning of the crane’s working members when conducting sequential movements controlled through the rotation of the crane column, inner and outer boom, and retractable stages of the six-section telescopic boom. Sample results of the numerical simulations showing the influence of the assumed kinematic inputs of the crane members on the accuracy of unidirectional angular and linear positioning and, consequently, on the accuracy of the final positioning of the transported cargo, were presented. Moreover, an indicator of the cargo positioning accuracy dependent on the location of an operator or a video camera and the trajectory of the cargo was developed, allowing the formulation of application conclusions.

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Section: Introductionmentioning

confidence: 99%