Shenzhen University

South China Agricultural University

Guangdongsheng Yuchen Electronics & Technology Co., Ltd.

Zte Corporation

Chen Wang

Qi Zhang

Min Zhu

Xiaohua Bao

Xiangsheng Chen

Zijun Liang

Zhuo Yang

Changqing Xia

Jiqiang Liu

Kezheng Wang

Fang Lin

Shuangxi Guo

Houpu Liu

Dengwei Chen

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

The present disclosure provides a determination method, an elimination method and an apparatus for an electron microscope aberration. The determination method comprises: training a neural network for image recognition using a plurality of electron microscope simulation images to obtain an electron microscope image recognition model; recognizing an electron microscope image of an experimental sample using the electron microscope image recognition model to obtain the electron microscope simulation image corresponding to the electron microscope image of the experimental sample; and obtaining the corresponding set aberration as an imaging aberration of the electron microscope image of the experimental sample according to the electron microscope simulation image corresponding to the electron microscope image of the experimental sample. Through the above solution, an aberration value of an electron microscope can be obtained using a lattice image of the experimental sample, thereby improving an imaging effect of the electron microscope.

Determination method, elimination method and apparatus for electron microscope aberration

A modularized combined intelligent heat collector system, comprising a PTCR-xthm electric heating chip heat source main engine, a data control template, a constant-temperature and constant-pressure device and a variable-frequency pump; the variable-frequency pump and the PTCR-xthm electric heating chip heat source main engine are connected to the data control template; the outlet end of the PTCR-xthm electric heating chip heat source main engine is connected to the constant-temperature and constant-pressure device; the outlet end of the constant-temperature and constant-pressure device is connected to the PTCR-xthm electric heating chip heat source main engine through the variable-frequency pump; the PTCR-xthm electric heating chip heat source main engine directly leads out a user heating pipeline; and/or the PTCR-xthm electric heating chip heat source main engine leads out the user heating pipeline through the constant-temperature and constant-pressure device, and is connected to a heat exchanger of a user water heater.

Modularized combined intelligent heat collector system

Growing community of inventors

Guangdong, China

Chen Wang