Shenzhen University

Xiangsheng Chen

Xiaohua Bao

Hongzhi Cui

Min Zhu

Changqing Xia

Jiqiang Liu

Chen Wang

Yong Zhao

Yaohong Zhu

Jinqing Jia

Shuoli Wu

Xiangpeng Cao

Lele Cao

Shuangxi Guo

Houpu Liu

Dengwei Chen

Subway tunnel intelligent monitoring method and system relate to the field of track detection. The method includes: activating the inspection device to inspect the track section and detect foreign objects; when the inspection device detects the foreign object during foreign object detection, identifying and acquiring a volume of the foreign object, and according to a correspondence between a range interval to which the volume of the foreign object belongs and a processing scheme, determining the processing scheme for the foreign object with the corresponding volume; implementing the processing scheme for the foreign object with the corresponding volume.

Subway tunnel intelligent monitoring method and system

A method for monitoring resilience of a shield tunnel based on multi-source heterogeneous data is provided, including following steps: collecting the multi-source heterogeneous data and processing computer data, where the collecting the multi-source heterogeneous data includes: collecting a tunnel displacement u, a tunnel cross section convergence ΔD and a tunnel damage area S; and the processing computer data includes: S, performing data preprocessing; S, performing data processing, where the multi-source heterogeneous data preprocessed in step Sis processed to calculate a tunnel performance indicator P and a tunnel resilience indicator Re; S, determining tunnel status; S, performing manual argumentation; S, giving a remediation measure according to the status of the resilience of the tunnel in step S; S, storing and archiving processed data; and S, performing terminal outputting, where the data obtained in step Sis displayed and output through a plurality of terminals.

Method for monitoring resilience of shield tunnel based on multi-source heterogeneous data

A method and system are provided for non-destructive testing of a tunnel lining, and relate to the field of tunnel quality testing technologies. The method includes: obtaining tunnel design information; extracting rebar arrangement information and lining information; determining theoretical arrangement interval information; determining location information of a signal conducting bar group; pre-embedding signal conducting bars in sequence based on the location information of the signal conducting bar group; and manufacturing the lining, mounting an interface slot based on a location of the signal conducting bar, and marking a location of each interface slot as input point location information or receiving point location information, wherein the input point location information indicates a location corresponding to the signal input connection point, and the receiving point location information indicates a location corresponding to the signal receiving point.

Method and system for non-destructive testing of tunnel lining

The present application relates to an efficient shallow geothermal energy utilization and storage system and method based on deep learning optimization. It includes the steps of obtaining current time information; determining theoretical energy consumption demand curve information; acquiring the heat exchange component number information and a corresponding single-member potential energy information; calculating single-member energy storage information according to the single-member potential energy information and preset efficiency threshold information; adding single-member energy storage information corresponding to the heat exchange component number information to obtain total stored energy information; calculating replacement time information according to the theoretical energy consumption demand curve information and the total stored energy information; and replacing the heat exchange component corresponding to the heat exchange component number information at the replacement time.

Shallow geothermal energy efficient utilization and storage system and method based on deep learning optimization

A shear control instrument under a three-dimensional space condition and a control method of the shear control instrument can include a loading system, a transposition system and a control monitoring system. The loading system is used for loading a soil body sample. The transposition system is connected with the loading system in an anchoring manner and is used for adjusting the direction of the loading system. The control monitoring system is connected with the transposition system in an anchoring manner and is used for controlling the transposition system and monitoring test data.

Shear control instrument under three-dimensional space condition and control method of shear control instrument

A construction monitoring method and system for a V-shaped column in an underground foundation pit, a terminal and a storage medium can include the following steps: acquiring different stress-related data at a plurality of preset positions of stand columns in real time; and analyzing and judging whether the change rate of the stress-related data exceeds a preset change rate range or not or whether the stress-related data exceeds a preset stress-related data range or not.

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Guangdong, China

Xiangsheng Chen