The article is devoted to the analysis of working with the software product TIM CREDO Mine Surveying using data from the Mikashevichi granite quarry. The study examines the process of data processing using point clouds, format conversion, and data densification through Python scripts. The results of quarry surface modeling and its comparison with contour lines obtained from the GIS software Surfer are presented. The proposed data processing improvement methods have increased modeling accuracy and reduced data processing costs.
| Mualliflar | Bildyuk, Egor Viktorovich, Бильдюк, Егор Викторович, Bildyuk, Egor Viktorovich |
|---|---|
| Jurnal | Саноатда рақамли технологиялар |
| Nashr sanasi | 2025-12-09 |
| Jild | 3 |
| Son | 4 |
| Betlar | 67-70 |
| Til | Rus |
| DOI | 10.70769/3030-3214.srt.3.4.2025.28 |
DOI: 10.70769/3030-3214.srt.3.4.2025.28 · Maqolaning asl sahifasi
TIM CREDO Mine Surveying, point cloud, Python script, data conversion, .las format, upsampling, interpolation, geodetic data, quarry, modeling, DXF contours, Surfer, ТИМ КРЕДО Маркшейдерия, облако точек, Python-скрипт, конвертация данных, формат .las, интерполяция, геодезические данные, карьера, моделирование, DXF-изолинии, Surfer, TIM CREDO Marksheyderiya, nuqta buluti, Python skripti, ma’lumot konvertatsiyasi, .las formati, apsempling, interpolatsiya, geodezik ma’lumotlar, karyer, modellashtirish, DXF izoliniyalar, Surfer
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