Analysis Method for Metro Monitoring Data Using&nbsp;Modified
Statistics Process Control

SHI Leilei; GUO Caixia; WANG Yichen; KONG Heng

doi:10.3973/j.issn.2096-4498.2023.06.013

Tunnel Construction >

2023 , Vol. 43 >Issue 6: 1027 - 1034

DOI: https://doi.org/10.3973/j.issn.2096-4498.2023.06.013

Analysis Method for Metro Monitoring Data Using Modified Statistics Process Control

SHI Leilei ,
GUO Caixia ,
WANG Yichen ,
KONG Heng

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(1.Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education,Beijing University of Technology,Beijing 100124,China;2.Beijing Municipal Construction Group Co.,Ltd.,Beijing 100045,China;3.Agiletech Engineering Consultants Co.,Ltd.,Beijing 100037,China;4.Beijing Construction Engineering Group Co.,Ltd.,Beijing 100055,China)

Online published: 2023-07-14

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Abstract

Herein, the statistical process control(SPC) technology based on the traditional "doublecontrol" indicator analysis method is introduced and modified to scientifically analyze metro monitoring data. The significance level of the hypothesis test (α=0.27%) corresponding to the 3σ criterion of the SPC is low according to the Chinese cardinal engineering national code GB 500682018. Therefore, the 2σ discontinuity identification criterion applied in civil engineering is proposed based on the significance level α=5%. The proposed scientific monitoring and analysis method for metro construction is established by combining the novel criterion and the SPC technology. A case study is conducted to verify the feasibility of the proposed method. The results show that SPC can fully utilize the monitoring data and analyze unidentified data variations through the traditional "doublecontrol" indicator analysis. The modified SPC outperforms the traditional method in terms of project application and data analysis results.

Key words： ; metro; monitoring data; statistical process control; 3σ criterion; 2σ discontinuity criterion

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SHI Leilei , GUO Caixia , WANG Yichen , KONG Heng .

Analysis Method for Metro Monitoring Data Using Modified Statistics Process Control

[J]. Tunnel Construction, 2023 , 43(6) : 1027 -1034 . DOI: 10.3973/j.issn.2096-4498.2023.06.013

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