Modeling of pipeline transportation facilities based on remote sensing data

Author:

Dolgopolov D.V.1ORCID

Affiliation:

1. Ai Co, CJSC

Abstract

The author considers the results of geospatial modeling of a production facility based on data from various types of surveys obtained during monitoring. The essence is to combine it in a single coordinate space for subsequent modeling with remote methods. The technological solutions are described; they enable performing geospatial modeling of pipeline transport objects on the basis of a single coordinate space due to the data from various types of remote studies. The site of the oil refinery, where reconstruction must have been carried out, was chosen as the object of the research. The remote sensing data were obtained through ground-based laser scanning and digital aerial photography using a drone. A scheme for remote sensing, information preprocessing and geospatial modeling of pipeline transportation facilities is provided. As a methodological basis for geospatial modeling, constructive methods are used, assuming the finiteness of the elements and the use of its basic components as an information unit.

Publisher

FSBI Center of Geodesy, Cartography, and SDI

Subject

Computers in Earth Sciences,Earth-Surface Processes,Geophysics

Reference14 articles.

1. Avrunev E.I., Karpik A.P., Melkii V.A. Printsipy formirovaniya edinogo geoprostranstva territorii. Problemy geologii i osvoeniya nedr: Trudy XXIII Mezhdunarodnogo simpoziuma imeni akademika M. A. Usova studentov i molodykh uchenykh, posvyashchennogo 120 so dnya rozhdeniya akademika K.I. Satpaeva, 120 so dnya rozhdeniya professora K.V. Radugina, Tomsk: Izdatel'stvo TPU, 2019, 2 Vol. 1, pp. 428–429.

2. Altyntsev M. A. Metodika integratsii dannykh mobil'nogo lazernogo skanirovaniya i aerofotos"emki dlya sozdaniya tsifrovoi modeli mestnosti. Vestnik SSUGT, Vol. 27, no. 5, pp. 5–18. DOI: 10.33764/2411-1759-2022-27-5-5-18.

3. Ignat'eva S. S., Komissarov A. V. Sostoyanie, problemy i perspektivy primeneniya tekhnologii nazemnogo lazernogo skanirovaniya dlya obsledovaniya vertikal'nykh stal'nykh, sharovykh i gorizontal'nykh rezervuarov nefti i gaza. Interekspo Geo-Sibir', 2017, Vol. 9, no. 2, pp. 26–28.

4. Maiorov A. A., Tsvetkov V. Ya., Andreeva O. A. Trekhmernoe geoinformatsionnoe modelirovanie pri massovom sbore informatsii. Izvestia vuzov. Geodesy and Aerophotosurveying, 2020, Vol. 64, no. 2, pp. 229–236.

5. Makarycheva E. M., Ibragimov E. R., Kuznetsov T. I., Shurshin K. Yu. Primenenie vozdushnogo lazernogo skanirovaniya dlya geotekhnicheskogo monitoringa ob"ektov magistral'nogo truboprovoda. Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov, 2019, Vol. 9, no. 1, pp. 21–31. DOI: 10.28999/2541-9595-2019-9-1-21-31.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3