摘要
TBM信息化采集了海量数据,对TBM数据的标准化预处理是进行诸多研究的前提。基于此,提出了一种TBM掘进数据标准化处理方法,依托TBM现场施工掘进大数据,以破岩特征为依据选取基本掘进参数(刀盘转速、推进速度、刀盘推力及刀盘扭矩)分析掘进过程TBM数据特点,提出循环掘进过程空推段、上升段、稳定段及下降段起点的判别方法,对稳定段起点提出了标准差法判别方法、均值判别方法、直方图判别方法,满足实时和非实时的数据划分需求。最后对两个TBM工程的数据进行标准化预处理,实现施工大数据的标准化。结果表明,提出的标准化预处理方法可实现循环掘进过程数据的有效划分。研究成果可推广应用于众多TBM工程的数据标准化处理,有效实现机器学习数据库的建立。
During TBM construction process,massive data are collected through information technology,and the stan⁃dardized pre-processing of TBM data is a precondition for multiple studies.Thus,a standardized pre-processing method of TBM tunnelling data is put forward.Based on the big data generated in TBM tunnelling and the TBM rock-breaking characteristics,the basic tunnelling parameters(e.g.cutterhead rotation speed,advancing speed,cut⁃terhead thrust,and cutterhead torque)are selected to analyze the data characteristics during TBM tunnelling.The judgement methods of starting points of idle stage,ascent stage,stable stage and descent stage during the process of cyclic tunnelling are proposed,and furthermore the standard deviation judgement method,mean value judgement method and histogram judgement method are put forward for the starting point of the stable stage,so as to meet the requirements for segmentation of real-time and non-real-time data.Finally,the standardized pre-processing of TBM data is conducted for two TBM tunnel projects to realize the standardization of big data during construction.The result shows that the proposed standardized pre-processing method can realize the effective segmentation of cy⁃clic tunnelling data.The research results can be applied to the standardized data processing of many TBM tunnel projects to effectively create the database for machine learning.
作者
王双敬
王玉杰
李旭
刘立鹏
尹韬
WANG Shuangjing;WANG Yujie;LI Xu;LIU Lipeng;YIN Tao(State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,China Institute of Water Resources and Hydropower Research,Beijing 100048;School of Civil Engineering and Transportation,Hohai University,Nanjing 210098;School of Civil Engineering,Beijing Jiaotong University,Beijing 100044)
出处
《现代隧道技术》
CSCD
北大核心
2022年第2期38-44,52,共8页
Modern Tunnelling Technology
基金
中国电力建设股份有限公司重点科技项目(DJ-ZDXM-2019-10)
国家自然科学基金(52179121)
陕西省自然科学基金(2019JLZ13,2019JLP-23).
作者简介
王双敬(1992-),男,博士研究生,主要从事TBM大数据分析及数据挖掘工作,E-mail:shuangjingde@163.com;通讯作者:王玉杰(1974-),男,博士,正高级工程师,主要从事TBM大数据分析及数据挖掘工作,E-mail:wangyj@iwhr.com。
