摘要
泥水盾构机在进行地铁线路的挖掘过程中容易受到地质和其他各种因素的影响,导致掘进的线路偏离之前设定好的轴线,这就很容易发生重大工程事故,所以对盾构进行姿态控制十分重要。本文运用提取到的线路数据并对其进行数据融合,从中选择优质参数建立泥水盾构机的XGBoost模型,给出油缸压力预测区间,帮助司机进行盾构姿态控制操作。将所建模型在盾构实验室平台上线测试,结果较好。
Mud-water shield machine is easily affected by geological and other factors in the digging process of subway line,that may lead to the deviation of the excavation line from the planning trace and occur major engineering accidents.Therefore it is very important to design methods to control the attitude of shield digging machine.In this paper,based on the extracted line data from big digging data base and what high-quality parameters are selected to establish the XGBoost model of mud-water shield machine,the prediction interval of cylinder pressure is forecasted to help a driver to control the attitude of shield machine.The model is tested online on the shield platform and the results are effective.
作者
孙振川
张合沛
凌美杰
万建军
SUN Zhen-Chuan;ZHANG He-Pei;LING Mei-Jie;WAN Jian-Jun(State Key Laboratory of Shield Machine and Boring Technology,Zhengzhou Henan450001,China;School of Mathematics and Statistics,Zhengzhou University,Zhengzhou Henan450001,China)
出处
《机电产品开发与创新》
2022年第1期92-95,共4页
Development & Innovation of Machinery & Electrical Products
基金
国家重点研发计划(2018YFB1701404)复杂装备制造行业应用验证与解决方案
国家重点研发计划(2020YFB1712100)智能互联装备网络协同制造/运维集成技术与平台研发。
关键词
泥水盾构
盾构姿态控制
数据融合
XGBoost模型
油缸压力预测
Mud-water shield machine
Shield digging attitude control
Data fusion
XGBoost model
Oil cylinder pressure prediction
作者简介
孙振川(1972-),男,陕西韩城人,硕士,教授级高级工程师。从事盾构TBM掘进技术研究工作;通信作者:张合沛。
