EconPapers    
Economics at your fingertips  
 

Research on Operating Simulation System for Tower Crane Based on Parallel System Theory

Hao Peng, Yihua Mao () and Xing Su
Additional contact information
Hao Peng: Zhejiang University
Yihua Mao: Zhejiang University
Xing Su: Zhejiang University

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1033-1045 from Springer

Abstract: Abstract Tower-crane-related accidents occur frequently, and branding the driver’s field of vision is hopefully conducive to reduce visibility-related accidents. The simulation system has become a hot topic and been widely used for training of the driver but rarely contribute to the real-time operations. This article applies the parallel system theory to simulation these systems, thus the virtual system can guide the real operations, in which multiple virtual screens are provided to the driver in blind lifts. This article proposes an overall framework and analyzes some key technologies of building the operating simulation system, including rapid differential modeling of tower cranes, high fidelity modeling of the construction site, and synchronization approach of them. Tests and feedbacks were conducted and collected respectively in laboratory and field. Results reveal that the framework of the simulation system is feasible and the performance is accurate and reliable. The response to the shortcomings and the next research plan is discussed.

Keywords: Simulation system; Parallel system theory; Tower crane (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_73

Ordering information: This item can be ordered from
http://www.springer.com/9789811588921

DOI: 10.1007/978-981-15-8892-1_73

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-981-15-8892-1_73