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A Prediction Method of Vertical Lifting Loads based on Long-Term Time Series Analysis for High-Rise Building Construction

机译:基于高层建筑施工的长期时间序列分析的垂直提升载荷预测方法

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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 decisionmaking for vertical lift zoning. Therefore, it is anticipated to settle as a system based data-centric construction management technique in the field.
机译:随着最近的建筑越来越高,垂直提升规划和操作是成功项目的关键因素。虽然许多研究一直在举起升降机之前在早期建造建筑提升规划系统,但是没有关于从现场操作数据的运转项目的电梯管理。在本研究中的这项研究中,为了预测可以在剩余的施工时间表期间产生的提升事件,进行了长期时间序列的数据分析。收集数据嵌入式升力监控传感器和数据库。进行图案分析,反映了基于Tact的精加工性控制的特征。本研究表明了活动导向时间序列分析的有效值,以提升高层建筑施工。最后,本研究曾作为基于升降升降区划的提升监测的关键引领。因此,预计将作为基于系统的基于系统的数据中心施工管理技术。

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