Multi-equipment collaborative optimization scheduling for intelligent construction scene

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. • A logical model of intelligent construction scene is proposed, which clarifies the relationship between components, processes and equipment. • 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. • A systematic multi-equipment collaborative optimization scheduling calculation method is proposed, and the corresponding calculation program is designed. • A complete experimental model is designed to verify the proposed method and provide a reference for engineering practice.

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Publication Details

Journal
Automation in Construction
Published
2024-09-23
DOI
https://doi.org/10.1016/j.autcon.2024.105780
Citations
9
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.39
Controls
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article

Multi-equipment collaborative optimization scheduling for intelligent construction scene

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9 citations
Automation in Construction
BIM and Construction Integration
2.39
article

Multi-equipment collaborative optimization scheduling for intelligent construction scene

Zhansheng Liu, Guoliang Shi, Dechun Lu, Qingwen Zhang, Xiuli Du
article en
9 citations

Abstract

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. • A logical model of intelligent construction scene is proposed, which clarifies the relationship between components, processes and equipment. • 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. • A systematic multi-equipment collaborative optimization scheduling calculation method is proposed, and the corresponding calculation program is designed. • A complete experimental model is designed to verify the proposed method and provide a reference for engineering practice.

Automation in ConstructionVol. 168
Beijing University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 12%
BIM and Construction Integration
2.39
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