A Field-Oriented Test-Simulation of Embedded Lift Information System for High Rise Buildings

For the past few years, numerous high-rise buildings have been built all around the world. Among them, vertical movement management of materials and labors is closely related to productivity of super-high rise construction. The objective of this study is to develop an embedded lift information system(ELIS) which can increase productivity of multi-cage temporary lift for construction site. And verify usefulness of ELIS through field-oriented testsimulation. The algorithm used in this system is expected to enable efficient respond to complex movement in high-rise construction lifts by applying principles of the vertical lifting operation. The developed algorithm can optimize lift operation time by using lifting cycle estimating method which is generated based on installed lift’s specification and real-time sensor data. Current status of lift uploaded transmitted sensor data every two seconds on average has become a vital part of arithmetic computation based on current optimum lift selection algorithm. This algorithm process is main decisionmaker of ELIS based lift control module. This and follow-up study aim to develop unmanned smart construction lift with a goal of improve productivity and safety of vertical lifting in high-rise construction site.