Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review

BIM-based estimation of vertical transportation demands during the construction of high-rise buildings

In this paper, we propose a method of effectively visualizing particulate matter data based on a 3D spatial grid system to overcome the limitations of 2D spatial information. The metropolitan area in Korea was set as the demonstration site for the regional scope, whereas the Gangnam Station area in Seoul, South Korea, was set for the local scope. The particulate matter data were collected from the Korean Air Quality Forecasting System (KAQFS), public data, and private corporations. The 3D data were created by applying the GRS80 coordinate transformation and GIS spatial interpolation according to the data attribute. Moreover, the grid size was determined according to the spatial scope, and the data were structuralized for a library application. For the empirical analysis, the 3D particulate matter data were visualized by building an open-sourcebased 3D Geospatial Grid Library. The results demonstrated that the 3D spatial distribution of particulate matter data for each time series can be visualized, which can be used as scientific evidence for establishing policies related to particulate matter.

/pdf/three-dimensional-visualization-of-particulate-matter-data-26qu4bfq.pdf

Three-dimensional Visualization of Particulate Matter Data Focused on Metropolitan and Gangnam Station Areas in South Korea

Purpose The objective of this study is to develop an algorithm which can increase productivity of lift operation on temporary twin-cage and multi-cage lifts for construction sites the algorithm is developed for optimizing operation efficiency at high-rise construction sites Moreover, it is expected that the algorithm can reduce working hours and traffic queues through operation optimization Method The developed algorithm can optimize lift operation time by using a lifting cycleestimating method which is generated based on the fundamental concerns when lift scheduling is planned Lifting cycleestimation is a vital part for an arithmetic computation based on lift selection algorithm which controls factors such as distance between each lifts, among passengers, and distances among lifts according to moving direction Results & Discussion We carried out surveys and conducted interviews with mechanical and construction professionals to analyse fundamental considerations of material lifting operation planning We extracted the weight of each of the relevant factors Based on the weight of factors, we set the lifting cycle-estimate suitable for high-rise buildings The optimized operating algorithm is extracted through lifting cycle-estimates Finally, we propose the prototype of an interface that is embedded into the lift with the optimized operating algorithm

An Optimized Operation Algorithm for Twin or Multi-Cage Lift Systems for High-Rise Construction Sites

3D Grid Size Optimization of Automatic Space Analysis for Plant Facility Using Point Cloud Data

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An Optimized Operation Algorithm for Twin or Multi-Cage Lift Systems for High-Rise Construction Sites

3D Grid Size Optimization of Automatic Space Analysis for Plant Facility Using Point Cloud Data