2023, 15(2): 37-43. doi: 10.16670/j.cnki.cn11-5823/tu.2023.02.07
基于数字孪生的山岭地区高速公路施工进度管理研究
| 1. | 中海建筑有限公司贵州分公司，贵阳 550000 |
| 2. | 华中科技大学 国家数字建造技术创新中心 土木与水利工程学院，武汉 430074 |
Research on Highway Construction Control System in Mountainous Area Based on Digital Twin
| 1. | China Construction International Investment (Guizhou) Co., Ltd., Guiyang 550000, China |
| 2. | National Center of Technology Innovation for Digital Construction, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
引用本文:
朱海明, 王顺超, 王嘉晨, 刘勇, 朱平, 陈维亚. 基于数字孪生的山岭地区高速公路施工进度管理研究[J]. 土木建筑工程信息技术,
2023, 15(2): 37-43.
doi: 10.16670/j.cnki.cn11-5823/tu.2023.02.07
Citation:
Haiming Zhu, Shunchao Wang, Jiachen Wang, Yong Liu, Ping Zhu, Weiya Chen. Research on Highway Construction Control System in Mountainous Area Based on Digital Twin[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2023, 15(2): 37-43.
doi: 10.16670/j.cnki.cn11-5823/tu.2023.02.07
摘要:本研究将数字孪生技术引入高速公路施工进度管理，提出了利用BIM参数化建模和实景建模技术构建山岭地区高速公路数字孪生模型的方法，设计了基于蓝牙技术、GPS技术及ZigBee技术的数据采集和映射方案，并在此基础上构建了基于数字孪生的进度推演模型。本文以雷榕高速公路工程项目为依托，利用数字孪生模型和数据采集技术实时获取现场工程量和进度影响信息数据，通过数据驱动的方式构建进度推演模型，使施工过程中的进度安排、资源配置更加合理，减少由于工期延误造成的成本问题或赶工引发的质量问题。
Abstract: In recent years, China's highway engineering construction has developed rapidly and it has entered into the stage for finer planning. The construction environment and geological conditions of engineering in mountainous areas are complex, which increases the difficulty and requirements of construction progress management and requires the introduction of new technical means to assist management. Using BIM parametric modeling and realistic modeling techniques, the study proposes a method to construct a digital twin model of highways in mountainous areas and designs a data collection and mapping scheme on the basis of Bluetooth technology, GPS technology and ZigBee technology. Relying on the above work, this study constructs a progress derivation model based on the digital twin. The digital twin of construction site can be used to deduce the construction progress and to realize the progress management decision based on real-time data, and it can also contribute to the facility management of highways in mountainous areas.
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