Automation and optimization in crane lift planning: A critical review

Hu, Songbo; Fang, Yihai; Bai, Yu

doi:10.1016/j.aei.2021.101346

Cited by 23 publications

(3 citation statements)

References 138 publications

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“…These decisions can be time-consuming and largely depend on the experiences of human planners [5]. Automatic lift planning for cranes is a promising tool for improving the safety and efficiency of the crane lifting process [6].…”

Section: Introductionmentioning

confidence: 99%

“…To improve the quality of planned paths, the time efficiency, safety, ease of operation, and visibility should be considered. Despite mounting pressures caused by increasing energy costs, the problem of energy efficiency during crane lifting has not been sufficiently studied [4], [6], [9]. Future studies will inevitably combine these factors to generate a quality planning model.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Three-Dimensional Lift Planning for Intelligent Boom Cranes

Zhang

et al. 2023

IEEE/ASME Trans. Mechatron.

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Manually planning a crane's lifting path is complicated and laborious since it typically depends on the planner's experience. We examined dynamic threedimensional lift planning, including problem formulation for multiobjective planning and problem-solving with an improved A* algorithm. First, we quantified various feasible movements by introducing energy and time consumption models to determine the most efficient and quickest path. Second, we examined a new method for determining the visible lifting path in Configuration space (C-space) and derived an obstacle enveloping method for collision detection in C-space. Our method is both safe and feasible. Finally, we proposed an improved A* algorithm for lift planning considering multiple objectives and featuring better computational efficiency. The experimental and simulation results demonstrate that the proposed lift planning method can comprehensively consider multiple objectives, thus providing a high-quality path for actual lifting. Furthermore, compared with the ordinary A* algorithm, the improved A* algorithm had better computational efficiency and consumed less energy and time. To our best knowledge, this is the first novel algorithm for planning crane lifts considering energy consumption and visibility in C-space.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Three-Dimensional Lift Planning for Intelligent Boom Cranes

Zhang

et al. 2023

IEEE/ASME Trans. Mechatron.

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“…Other challenging research tasks include stability analysis with swinging payloads [ 22 ], outrigger loads determination [ 23 ], movement trajectory optimization [ 7 ], heavy lift path planning [ 24 , 25 ], lift planning automation [ 26 , 27 ], and computational approaches for load positioning [ 28 , 29 ].…”

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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