TY - GEN
T1 - Safety monitoring platform for deep excavation based on BIM and big data technology
AU - Wenpeng, Dong
AU - Maoxuan, Qin
AU - Xiaofeng, Fang
AU - Yixuan, Wang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - In order to overcome the monitoring problems and difficulties in the process of deep excavation construction, this paper proposes a new safety monitoring platform for deep excavation based on BIM and big data technology. The platform is based on BIM model of visual security monitoring web platform, building a lightweight model. Based on this, the platform is also combined with big data technology, which can visualize the data information of Egypt, collect and analyze the monitoring data. In addition, the platform can control and sort out the real-time input and real-time storage data information. The result of this experiment shows that combined with engineering examples, the platform meets the needs of rapid processing and feedback of deep foundation pit monitoring data, and intuitively reflects the overall picture of the safety risk points of foundation pit engineering, allowing different parties to handle online and offline inspections, thereby improving work efficiency and information sharing, it has reference significance for the BIM application of deep foundation pit engineering.
AB - In order to overcome the monitoring problems and difficulties in the process of deep excavation construction, this paper proposes a new safety monitoring platform for deep excavation based on BIM and big data technology. The platform is based on BIM model of visual security monitoring web platform, building a lightweight model. Based on this, the platform is also combined with big data technology, which can visualize the data information of Egypt, collect and analyze the monitoring data. In addition, the platform can control and sort out the real-time input and real-time storage data information. The result of this experiment shows that combined with engineering examples, the platform meets the needs of rapid processing and feedback of deep foundation pit monitoring data, and intuitively reflects the overall picture of the safety risk points of foundation pit engineering, allowing different parties to handle online and offline inspections, thereby improving work efficiency and information sharing, it has reference significance for the BIM application of deep foundation pit engineering.
KW - BIM technology
KW - Big data technology
KW - Building Information Modeling
KW - Deep excavation
KW - Safety monitoring platform
KW - Visualization
UR - https://www.scopus.com/pages/publications/85115629605
U2 - 10.1109/ICRIS52159.2020.00138
DO - 10.1109/ICRIS52159.2020.00138
M3 - 会议稿件
AN - SCOPUS:85115629605
T3 - Proceedings - 2020 International Conference on Robots and Intelligent Systems, ICRIS 2020
SP - 537
EP - 540
BT - Proceedings - 2020 International Conference on Robots and Intelligent Systems, ICRIS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Robots and Intelligent Systems, ICRIS 2020
Y2 - 7 November 2020 through 8 November 2020
ER -