Predicting tunnel boring machine performance with the Informer model: a case study of the Guangzhou Metro Line project

被引:0
|
作者
Zhao, Junxing [1 ]
Ding, Xiaobin [1 ,2 ]
机构
[1] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
[2] South China Univ Technol, Guangdong Prov Key Lab Modern Civil Engn Technol, Guangzhou 511442, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Boring machine performance; Informer model; Deep learning; Thrust force; TBM(sic)(sic); Informer(sic)(sic); (sic)(sic)(sic)(sic); (sic)(sic); TBM PERFORMANCE; ROCK;
D O I
10.1631/jzus.A2400012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Accurately forecasting the operational performance of a tunnel boring machine (TBM) in advance is useful for making timely adjustments to boring parameters, thereby enhancing overall boring efficiency. In this study, we used the Informer model to predict a critical performance parameter of the TBM, namely thrust. Leveraging data from the Guangzhou Metro Line 22 project on the big data platform in China, the model's performance was validated, while data from Line 18 were used to assess its generalization capability. Results revealed that the Informer model surpasses random forest (RF), extreme gradient boosting (XGB), support vector regression (SVR), k-nearest neighbors (KNN), back propagation (BP), and long short-term memory (LSTM) models in both prediction accuracy and generalization performance. In addition, the optimal input lengths for maximizing accuracy in the single-time-step output model are within the range of 8-24, while for the multiple-time-step output model, the optimal input length is 8. Furthermore, the last predicted value in the case of multiple-time-step outputs showed the highest accuracy. It was also found that relaxation of the Pearson analysis method metrics to 0.95 improved the performance of the model. Finally, the prediction results were most affected by earth pressure, rotation speed, torque, boring speed, and the surrounding rock grade. The model can provide useful guidance for constructors when adjusting TBM operation parameters. (sic) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) (TBM) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) TBM (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic),(sic)(sic),(sic)(sic),(sic)(sic)(sic)(sic),(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)TBM(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)1. (sic)(sic)(sic)(sic)(sic) TBM (sic)(sic)(sic) Informer (sic)(sic)(sic)(sic); 2. (sic)(sic)(sic)(sic)(sic)(sic)(sic)7(sic)(sic)(sic)(sic)(sic)TBM(sic)(sic); 3. (sic)(sic)(sic) Informer (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); 4. (sic)(sic)(sic)(sic) Informer (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic) (sic)1. (sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); 2. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) TBM (sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic); 3. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); 4. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) TBM (sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic) (sic)1. (sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic),K(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). 2. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); (sic)(sic)(sic)(sic)(sic)(sic), 8 (sic) 24 (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic) 8 (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic); (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) 0.99 (sic) 0.98. 3. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). 4. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) 0.80 (sic)(sic)(sic) 0.95; (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). 5. (sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) 0.95; (sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) ((sic)(sic)(sic)(sic)(sic)(sic)0.77).
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