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最小二乘法结合条件方程法在利用全球导航卫星系统(GNSS)观测数据进行铁路轨道清查中的应用

Application of Least Squares with Conditional Equations Method for Railway Track Inventory Using GNSS Observations.

作者信息

Czaplewski Krzysztof, Wisniewski Zbigniew, Specht Cezary, Wilk Andrzej, Koc Wladyslaw, Karwowski Krzysztof, Skibicki Jacek, Dabrowski Paweł, Czaplewski Bartosz, Specht Mariusz, Chrostowski Piotr, Szmaglinski Jacek, Judek Slawomir, Grulkowski Slawomir, Licow Roksana

机构信息

Department of Geodesy and Oceanography, Faculty of Navigation, Gdynia Maritime University, 81-374 Gdynia, Poland.

Department of Geodesy, Faculty of Geoengineering, University of Warmia and Mazury, 10-719 Olsztyn, Poland.

出版信息

Sensors (Basel). 2020 Sep 1;20(17):4948. doi: 10.3390/s20174948.

DOI:10.3390/s20174948
PMID:32882914
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7506772/
Abstract

Satellite geodetic networks are commonly used in surveying tasks, but they can also be used in mobile surveys. Mobile satellite surveys can be used for trackage inventory, diagnostics and design. The combination of modern technological solutions with the adaptation of research methods known in other fields of science offers an opportunity to acquire highly accurate solutions for railway track inventory. This article presents the effects of work carried out using a mobile surveying platform on which Global Navigation Satellite System (GNSS) receivers were mounted. The satellite observations (surveys) obtained were aligned using one of the methods known from classical land surveying. The records obtained during the surveying campaign on a 246th km railway track section were subjected to alignment. This article provides a description of the surveying campaign necessary to obtain measurement data and a theoretical description of the method employed to align observation results as well as their visualisation.

摘要

卫星大地测量网络通常用于测量任务,但也可用于移动测量。移动卫星测量可用于轨道清查、诊断和设计。现代技术解决方案与其他科学领域已知研究方法的适配相结合,为获取高精度的铁路轨道清查解决方案提供了契机。本文介绍了使用安装有全球导航卫星系统(GNSS)接收器的移动测量平台所开展工作的成果。所获得的卫星观测(测量)数据采用经典陆地测量中的一种方法进行了平差。在第246公里铁路轨道区段测量活动期间获得的记录进行了平差处理。本文介绍了获取测量数据所需的测量活动,以及用于平差观测结果及其可视化方法的理论描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/06253626baba/sensors-20-04948-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/c82ea13054e9/sensors-20-04948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/122d2d0b9fa4/sensors-20-04948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/000fc1dcbcc6/sensors-20-04948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/8dfec3bb1b74/sensors-20-04948-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/7fa85e66f54b/sensors-20-04948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/d64218a2a225/sensors-20-04948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/86830f285b01/sensors-20-04948-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/05af7a2c9b3b/sensors-20-04948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/06253626baba/sensors-20-04948-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/c82ea13054e9/sensors-20-04948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/122d2d0b9fa4/sensors-20-04948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/000fc1dcbcc6/sensors-20-04948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/8dfec3bb1b74/sensors-20-04948-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/7fa85e66f54b/sensors-20-04948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/d64218a2a225/sensors-20-04948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/86830f285b01/sensors-20-04948-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/05af7a2c9b3b/sensors-20-04948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abc/7506772/06253626baba/sensors-20-04948-g009.jpg

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本文引用的文献

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