| Vol. - No. | Vol.11 - No.2 |
|---|---|
| Date | Jun., 2022 |
| Title |
Lifting Load Recording and Management Method of the Lift for Construction Based Sensing Information |
| Author |
Taekyu Ko1, Joonghwan Shin2, Kyuhyup Lee1, Soonwook Kwon3, Chung-Suk Cho4, Suwan Chung5, and Goeun Choi6 |
| Institutions |
1Department of Convergence Engineering for Future City, Sungkyunkwan University, Korea 2Department of Smart Factory Solution, LG CNS, Korea 3School of Civil, Architectural Engineering & Landscape Architecture, Sungkyunkwan University, Korea 4Department of Civil, Infrastructure and Environmental Engineering, Khalifa University, UAE 5Department of Future & Smart Construction Research, KICT, Korea 6 Department of Global Smart City Researcher, Sungkyunkwan University, Korea |
| 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. |
| Keyword |
Construction Lift, Lifting Record, Lifting Performance, Object Recognition Technique, Monitoring Of Lifting, Building Automation |
| PP. | PP.125~135 |
| Paper File |
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