建筑信息建模
参数统计
系统工程
可视化
参数化设计
预警系统
计算机科学
参数化模型
工程类
人工智能
航空航天工程
数学
化学工程
统计
相容性(地球化学)
作者
Yu Zhou,Wei Feng,Ling Pei Chen
出处
期刊:Advances in Science and Technology
日期:2021-04-27
卷期号:105: 231-240
被引量:2
标识
DOI:10.4028/www.scientific.net/ast.105.231
摘要
The escalator intelligent design method with variable engineering parameters is proposed in this study by integrating the escalator parametric design and data-driven modeling method, in which, the developed intelligent design method provides efficient improvements in the solving the problems of escalator parametric intelligent layout and automatic modeling under different engineering conditions, for instance, different lifting heights and various station floor heights. Unlike other works in the literature, aiming to integrate the information collected by different equipment, the methods of Industry Foundation Classes (IFC) expansion and Dynamo parametric data acquisition platform is introduced to develop the BIM 4D model. The computational result in the case study and applications show that, a big data system for enabling visualization, monitoring, and warning of escalator operations is developed in this work, which can provide real-time monitoring and safety warning during the design, construction and operation stage of escalator operations.
科研通智能强力驱动
Strongly Powered by AbleSci AI