Shield tunneling support pressure dynamic prediction and intelligent decision control system
The invention relates to the technical field of shield tunneling, in particular to a shield tunneling support pressure dynamic prediction and intelligent decision control system, which comprises a parameter selection module for acquiring historical data of M initial parameters and performing correla...
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Format | Patent |
Language | Chinese English |
Published |
18.04.2023
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Abstract | The invention relates to the technical field of shield tunneling, in particular to a shield tunneling support pressure dynamic prediction and intelligent decision control system, which comprises a parameter selection module for acquiring historical data of M initial parameters and performing correlation degree calculation to obtain N decision parameters; the data construction module is used for constructing a training data set based on the historical data of the N decision parameters and the historical support pressure data; the model training module is used for training the support pressure prediction model; the prediction module is used for obtaining a real-time time sequence data set and obtaining a support pressure prediction value based on the real-time time sequence data set and the trained support pressure prediction model; and the control module obtains a predicted value of each decision parameter based on the support pressure predicted value and a particle swarm algorithm, and performs shield tunneli |
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AbstractList | The invention relates to the technical field of shield tunneling, in particular to a shield tunneling support pressure dynamic prediction and intelligent decision control system, which comprises a parameter selection module for acquiring historical data of M initial parameters and performing correlation degree calculation to obtain N decision parameters; the data construction module is used for constructing a training data set based on the historical data of the N decision parameters and the historical support pressure data; the model training module is used for training the support pressure prediction model; the prediction module is used for obtaining a real-time time sequence data set and obtaining a support pressure prediction value based on the real-time time sequence data set and the trained support pressure prediction model; and the control module obtains a predicted value of each decision parameter based on the support pressure predicted value and a particle swarm algorithm, and performs shield tunneli |
Author | SON CHANG-YONG LIU YUNQI YUAN DAJUN YAO ZHANHU KIM DAE-RYONG CHENG XIAOQING CHEN YUE |
Author_xml | – fullname: YAO ZHANHU – fullname: KIM DAE-RYONG – fullname: SON CHANG-YONG – fullname: CHENG XIAOQING – fullname: CHEN YUE – fullname: YUAN DAJUN – fullname: LIU YUNQI |
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DocumentTitleAlternate | 盾构掘进支护压力动态预测与智能决策控制系统 |
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RelatedCompanies | BEIJING JIAOTONG UNIVERSITY |
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Snippet | The invention relates to the technical field of shield tunneling, in particular to a shield tunneling support pressure dynamic prediction and intelligent... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
Title | Shield tunneling support pressure dynamic prediction and intelligent decision control system |
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