Lifting Load Recording and Management Method of the Lift for Construction Based Sensing Information

Authors

  • Taekyu Ko Department of Convergence Engineering for Future City, Sungkyunkwan University, Korea Author
  • Joonghwan Shin Department of Smart Factory Solution, LG CNS, Korea Author
  • Kyuhyup Lee Department of Convergence Engineering for Future City, Sungkyunkwan University, Korea Author
  • Soonwook Kwon School of Civil, Architectural Engineering & Landscape Architecture, Sungkyunkwan University, Korea Author
  • Chung-Suk Cho Department of Civil, Infrastructure and Environmental Engineering, Khalifa University, UAE Author
  • Suwan Chung Department of Future & Smart Construction Research, KICT, Korea Author
  • Goeun Choi Department of Global Smart City Researcher, Sungkyunkwan University, Korea Author

Keywords:

Construction Lift, Lifting Record, Lifting Performance, Object Recognition Technique, Monitoring Of Lifting, Building Automation

Abstract

While buildings in recent days become taller and larger, many problems occur during the management of construction. Particularly, as the vertical movement of manpower and materials during construction has become longer while the lifting frequency and load increase, the need for a good lifting management practice is also increasing. Therefore, this study presents a real-time lifting performance monitoring system that can store and manage lifting records for construction management. Through review of literature and preceding studies related to construction lift, the concept of lift planning and operation management was understood, leading to the development of a system to monitor lifting operation and performance information. This system enabled quick measurement of the lifting performance during construction phase while responding to changes in the project schedule. To verify this system, a case study was conducted in which the current status and characteristics of the sensing-based lifting performance were derived.

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Published

2022-06-30

Issue

Section

Articles