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Multi-equipment collaborative optimization scheduling for intelligent construction scene
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DOI：10.1016/j.autcon.2024.105780.png)
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Abstract
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How to realize the efficient scheduling of construction equipment and ensure the construction quality is the key problem that restricts the development of intelligent construction technology. This paper proposes a multi- equipment collaborative optimization scheduling method for intelligent construction scene. Firstly, a logical model of intelligent construction scene is proposed, and the characteristics and requirements of construction in intelligent construction scene are clarified. Considering the relationship between construction processes and the control requirements of construction quality, an intelligent planning model of multi-equipment collaborative scheduling scheme is established. Aiming at the problem of equipment scheduling analysis, an improved non- dominant classification genetic algorithm (NSGA-II) is proposed. According to the solution results of the improved NSGA-II, the data mapping relationship between the scheduling scheme and the construction completion time and construction energy consumption is established. The verification and application of the proposed method are carried out by a cable truss structure experimental model.
Keywords:
Intelligent construction scene
Multi-equipment collaboration
Optimized scheduling
Deep learning
Experimental verification
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