Islam Karimov Tashkent State Technical University, Tashkent, Uzbekistan

S. S. Sayyidkosimov, Doctor of Engineering Sciences, Professor
A. T. Nizamova, PhD, Associate Professor, at.nizamova@gmail.com
A. M. Khakimov, Senior Lecturer of the Department, PhD

The article discusses promising directions for the development of mine surveying and geodetic support in underground construction, with a particular focus on improving accuracy of mine surveying during tunneling at construction phase II of the Tashkent Metro using the shield method. The study explores modern technical tools and methods of mine surveying, including high-precision electronic tachometers, laser scanning, automated observation stations, and integrated satellite and inertial technologies. Special attention is given to the application of integrated measurement technologies that provide high-precision navigation of the shield system, as well as to the implementation of automated real-time monitoring systems that enable prompt tracking of changes in geometric parameters of tunnels and surrounding rock mass. The practical part of the study includes the analysis of the accuracy characteristics obtained at specific sections of phase II in the Tashkent Metro. The potential for integrating sensor technologies directly into the tunnel structure is also considered, ensuring continuous monitoring of deformations and subsidence. The article presents the data on the mutual alignment of tunnels, which was achieved with minimal deviations, thereby confirming the effectiveness of the proposed solutions. Thanks to the timely correction of data obtained from the electronic tachometer, along with the regular verification and refinement of coordinate references, minimal linear and angular deviations of the shield tunneling system were achieved when entering a teardown room. This demonstrates a high efficiency of the proposed geodetic support method at the final stage of tunneling. The study concludes that the accuracy of mine surveying can be significantly enhanced through the integrated use of advanced technologies and the optimization of measurement techniques. Additionally, the application of the inertial navigation systems and digital data processing methods, including machine learning algorithms, is identified as a promising direction for improving the accuracy of deformation prediction. The results obtained have a high scientific and practical value and can be used to enhance the safety, efficiency, and reliability of the design, construction, and operation of underground structures in densely populated urban areas with complex geotechnical conditions.
The work was carried out as a part of the research project of the Department of Mine Surveying and Geodesy: Mine Surveying in Laying of Permanent Railway Track in Subways.
This innovative project for scientific research was successfully implemented at the construction site of Phase II of the Yunusabad Line in the Tashkent Metro.

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