یک روش پیش بینی بارهای بارگیری عمودی براساس تحلیل طولانی مدت سری زمانی برای ساخت و ساز ساختمان های بلند

As recent building have been getting higher and larger, vertical lift planning and operation are key factor for successful project. Although many studies have been trying to set up a construction lift planning system at early stage before lift installation, but there are not regarding lift management for on-going project using operation data from the field. In this study In this study, to predict lifting event which may be generated during remained construction schedule, long-term time-series based data analysis was conducted. Data was collected embedded lift monitoring sensor and database. The pattern analysis was carried out reflecting characteristics of Tact based finishing work control. And this study shows an effective value of activity oriented time-series analysis to lift management on high-rise building construction. Lastly, this study has served as a key lead of lift monitoring based decision-making for vertical lift zoning. Therefore, it is anticipated to settle as a system based data-centric construction management technique in the field.