摘要
结合隧道施工地表沉降主控对象和泥水气压平衡盾构多变量施工参数特点,结合"基于深度学习的地表沉降评估分析软件编制和服务"技术攻关项目,运用现代控制理论建立一套泥水气压平衡盾构多变量融合控制自学习方法。经编程仿真试验和实际工程示范应用,反映所建立的盾构多变量融合控制自学习方法具有稳定地表沉降质量的技术性能。
Combined with the main control object of surface settlement and the multivariable construction parameter characteristics of slurry pneumatic balance shield in the tunnel construction, combined with the technical research project of "Development and Service of Surface Settlement Evaluation Analysis Software Based on deep learning", the modern control theory is used to establish a set of multivariable fusion control self-learning method for slurry pneumatic balance shield. Through programming simulation test and practical engineering demonstration application, the result shows that this established shield multivariable fusion control self-learning method has the technical performance of stabilizing the surface settlement quality.
出处
《城市道桥与防洪》
2020年第7期292-294,M0027,共4页
Urban Roads Bridges & Flood Control
关键词
盾构
地表沉降
多变量融合
自学可控制
shield
surface settlement
multivariable fusion
self-learning control
