Shield Tail Seal System Operation State Detection Research Based on Data Segmentation of Slope and Shield Tail Seal Cavity Pressure Change Laws

In recent years, with the continuous advancement of various underground engineering construction projects in China, shield technology as an important technology in underground tunnel construction,Shield machine as an indispensable construction equipment in shield technology, shield machine systems can be safe and reliable operation is more and more important. Because of the working environment of the shield tail seal, it is difficult to verify its working status through experiments, because there is still no perfect shield tail seal status detection method. In this paper, a shield tail sealing system state detection scheme based on the slope and shield tail sealing system operation law is proposed for the operational state detection of shield tail sealing system in shield tunneling machine. The main research content is as follows: (1) according to the shield tail sealing system pressure change rule and slope change rule put forward a shield tail sealing system sealing cavity data for data segmentation, segmentation for different cycle data of three different stages. (2) According to the segmentation algorithm to segment the data features of the first two phases of each cycle respectively, the state detection algorithm based on dynamic time regularization and system operation law is proposed for different phases.(3) Aiming at the data features of the third stage segmented by the segmentation algorithm, a system operation state detection method based on sliding window outlier detection is proposed. (4) The accuracy of the comprehensive validation algorithm for shield tail sealing system operation anomaly detection is verified based on real data from real shield sealing system operation. The final results show that the proposed algorithm consists of good stability and accuracy.

Authors

Institutions

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756434
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shield Tail Seal System Operation State Detection Research Based on Data Segmentation of Slope and Shield Tail Seal Cavity Pressure Change Laws

Zhufa Zhou, Zhenggang Guo, Qingchao Sun, Wen Si Hao et al.
Time Series Analysis and Forecasting
article

Shield Tail Seal System Operation State Detection Research Based on Data Segmentation of Slope and Shield Tail Seal Cavity Pressure Change Laws

Zhufa Zhou, Zhenggang Guo, Qingchao Sun, Wen Si Hao, Min Wang, Fuwen Zhang
article en

Abstract

In recent years, with the continuous advancement of various underground engineering construction projects in China, shield technology as an important technology in underground tunnel construction,Shield machine as an indispensable construction equipment in shield technology, shield machine systems can be safe and reliable operation is more and more important. Because of the working environment of the shield tail seal, it is difficult to verify its working status through experiments, because there is still no perfect shield tail seal status detection method. In this paper, a shield tail sealing system state detection scheme based on the slope and shield tail sealing system operation law is proposed for the operational state detection of shield tail sealing system in shield tunneling machine. The main research content is as follows: (1) according to the shield tail sealing system pressure change rule and slope change rule put forward a shield tail sealing system sealing cavity data for data segmentation, segmentation for different cycle data of three different stages. (2) According to the segmentation algorithm to segment the data features of the first two phases of each cycle respectively, the state detection algorithm based on dynamic time regularization and system operation law is proposed for different phases.(3) Aiming at the data features of the third stage segmented by the segmentation algorithm, a system operation state detection method based on sliding window outlier detection is proposed. (4) The accuracy of the comprehensive validation algorithm for shield tail sealing system operation anomaly detection is verified based on real data from real shield sealing system operation. The final results show that the proposed algorithm consists of good stability and accuracy.

Dalian University of Technology (CN)
Openalex Percentile: Top 69%
Time Series Analysis and Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.