{"title":"Deformation Monitoring Method of Large Section Shallow Buried Tunnel Based on GNSS Technology","authors":"Neng Li","doi":"10.1109/iaai51705.2020.9332839","DOIUrl":null,"url":null,"abstract":"In the deformation monitoring of large-section shallow buried tunnels, the traditional monitoring methods are affected by the temporal and spatial effects of tunnel construction, resulting in insufficient safety of the monitoring methods. Therefore, a deformation monitoring method based on GNSS technology for large cross-section shallow excavation tunnel is proposed. The GNSS automation equipment and its technology are combined to realize the real-time acquisition of monitoring data, and the displacement trend diagram of monitoring points is displayed. According to the known monitoring parameters, the basis for judging the deformation stability is determined. Combined with the calculation results of tunnel surrounding rock and support structure parameters, the optimal fitting monitoring results are obtained. The experimental results show that the total power factor of the designed large-section shallow buried tunnel deformation monitoring method based on GNSS technology is stable, the monitoring results are basically consistent with the actual tunnel deformation, and its safety has been improved.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iaai51705.2020.9332839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the deformation monitoring of large-section shallow buried tunnels, the traditional monitoring methods are affected by the temporal and spatial effects of tunnel construction, resulting in insufficient safety of the monitoring methods. Therefore, a deformation monitoring method based on GNSS technology for large cross-section shallow excavation tunnel is proposed. The GNSS automation equipment and its technology are combined to realize the real-time acquisition of monitoring data, and the displacement trend diagram of monitoring points is displayed. According to the known monitoring parameters, the basis for judging the deformation stability is determined. Combined with the calculation results of tunnel surrounding rock and support structure parameters, the optimal fitting monitoring results are obtained. The experimental results show that the total power factor of the designed large-section shallow buried tunnel deformation monitoring method based on GNSS technology is stable, the monitoring results are basically consistent with the actual tunnel deformation, and its safety has been improved.