Telecommunication solutions for creating high-precision satellite positioning at Kacharsk quarry
Bibliographic record
Abstract
With the increasing need for digitalization in mining production, the relevance of applying modern geodesy and surveying technologies, particularly using digital communication systems and satellite navigation, has significantly increased. Scientific and technical progress has enabled the development and implementation of high-precision measurement technologies that significantly surpass traditional methods in performance and accuracy. A differential correction base station utilizing GNSS (Global Navigation Satellite Systems) data for measurements is created as a part of the geodetic work automation at Kacharsk deposit. This article presents the development of a software and a technical facility for a high-precision satellite positioning system, which has successfully passed all testing stages and has been implemented in industrial operation. This integrated system allows measurement tasks to be performed in real-time and post-processing modes, taking into account the complex conditions of signal transmission at the depths of quarries and beyond the dumps. The work was conducted by the D.A. Kunayev Mining Institute in collaboration with the Institute of Space Technique and Technology. The project co-financing by a private partner JSC "SSGPO". The development includes creating a differential correction center, which facilitates the transmission of correction information and differential corrections to mobile devices at the site. This provides the increased measurement accuracy and optimized production management processes in the constantly changing geometry of the quarry. A software-based mathematical algorithm for processing and analyzing satellite data has been developed within the project, significantly enhancing the efficiency of geodetic measurements. The implementation of satellite technologies not only improves the accuracy and efficiency of geodetic works but also promotes the digital transformation of the entire production process at Kacharsk deposit. Such developments are a key element in the strategy of creating an “intelligent mine”, where all processes are maximally automated and optimized to ensure safety, efficiency and sustainability of production. In the context of sustainable development, the adoption of these technologies also contributes to minimizing the environmental impact of mineral extraction through precise positioning and planning of mining, leading to reduced waste and optimized resource usage. Financing and support for such projects highlight the importance of integrating science and technology into the sustainable development of the industry. This research is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. BR23991563). The authors also express their profound gratitude for the assistance in implementing the developed high-precision satellite positioning system into industrial operation to the scientific staff of the Institute of Space Technique and Technology, A. S. Raskaliev, A. I. Samsonenko and S. Zh. Zhumagali.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".