Smart work packaging-enabled constraint-free path re-planning for tower crane in prefabricated products assembly process. (January 2020)

• Record Type: Journal Article
• Authors: Li, Xiao; Chi, Hung-lin; Wu, Peng; Shen, Geoffrey Qiping
• Is Part Of: Advanced engineering informatics. Volume 43(2020)
• Publication Date: 2020-01
• Subjects: Crane path planning -- Smart work packaging -- Prefabrication housing production -- Constraints management -- Building information modeling; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2019.101008
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: The approach for crane path re-planning in a dynamic environment is proposed. The dynamic constraints in the construction site are classified and prioritized. A decision mechanism is developed into SWP to generate path when it is necessary. The adaptivity of the SWP-enabled constraints optimization service is investigated. The validity of this approach is demonstrated by simulation in a BIM environment. Abstract: Lack of constraint-free crane path planning is one of the critical concerns in the dynamic on-site assembly process of prefabrication housing production (PHP). For decades, researchers and practitioners have endeavored to improve both the efficiency and safety of crane path planning from either static environment or re-planning the path when colliding with constraints or periodically updating the path in the dynamic environment. However, there is a lack of approach related to the in-depth exploration of the nature of dynamic constraints so as to assist the crane operators in making adaptive path re-planning decisions by categorizing and prioritizing constraints. To address this issue, this study develops the smart work packaging (SWP)-enabled constraints optimization service. This service embraces the core characteristics of SWP, including adaptivity, sociability, and autonomy to achieve autonomous initial path planning, networked constraints classification, and adaptive decisions on path re-planning. This service is simulated and verified in the BIM environment, and it is found that SWP-enabled constraints optimization service can generate the constraint-free path when it is necessary.