摘要
TBM(全断面岩石掘进机)在掘进过程中会采集大量数据,数据类型丰富,总量庞大。但由于PLC采集数据的机制,原始数据规模庞大且包含了大量冗杂信息。本文基于标准化数据预处理,通过阈值设定,标准差划分等技术手段,以掘进段为单位对原始数据进行了初步分割,在此基础上进行了降噪和滤波,对异常数据进行了分类,基于处理后的数据对特征参数现场贯入指标(FPI)和扭矩贯入指标(TPI)进行了分析,研究了特征参数与围岩地质情况的相关性。结果表明:数据预处理程序能够较好的进行掘进段划分,经过处理的数据得到的特征参数质量高,与围岩地质情况有较好的关联度。
TBM(Full Face Rock Tunnel Boring Machine)collects a large amount of data in the excavation process.However,due to the mechanism of PLC data collection,the original data is large-scale and contains miscellaneous information.Based on this,through the standardized data preprocessing,this paper preliminarily divides the original data into different boring section by the threshold setting and standard deviation division,and then carries out noise reduction and filtering,classifies the abnormal data to improve the quality of data.Based on the processed data,this paper analyzes the characteristic parameters field penetration index(FPI)and torque penetration index(TPI),studies the correlation between characteristic parameters and surrounding rock geological conditions.The results show that the data preprocessing program can better divide the boring section.The characteristic parameters have a high correlation with the geological conditions of surrounding rock.It can preliminarily judge the abnormal working conditions encountered by TBM such as stuck machine and weak surrounding rock through the threshold.
作者
孙云
张云旆
刘立鹏
李鹏宇
王双敬
Sun Yun;Zhang Yunpei;Liu Lipeng;Li Pengyu;Wang Shuangjing(Yunnan Dianzhong Water Diversion Engineering Co.,Ltd.,Kunming,650000,China;China Institute of Water Resource and Hydropower Research,Beijing 100048,P.R.China;China Railway Engineering Equipment Group Co.,Ltd.,Zhengzhou 450016,P.R.China)
出处
《地下空间与工程学报》
CSCD
北大核心
2023年第2期594-608,共15页
Chinese Journal of Underground Space and Engineering
基金
云南省重点科技专项计划(202002AF080003-4)。
作者简介
孙云(1977-),男,云南绿春人,高级工程师,主要从事水利水电工程施工技术的研究。E-mail:61451466@qq.com;通讯作者:张云旆(1994-),男,陕西延安人,博士生,主要从事TBM、机器学习等领域的研究。E-mail:zhangyp19@mails.tsinghua.edu.cn。
