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THE VISUAL ASSESSMENT OF THE CONDITION OF A SHAFT LINING AND REINFORCEMENT EQUIPMENT USING A VIDEO MONITORING SYSTEM

PhD Wojciech Jaskowski, PhD Tomasz Lipecki, PhD Pawel Cwiakala, MSc Wojciech Matwij

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.092View metrics

Abstract

The paper presents made for Salt Mine пїЅWieliczkaпїЅ: <System of video monitoring of the housing and shaft reinforcement condition during sealing the rock mass around the mine shaft "Kosciuszko">. It was used during the monitoring of sealing the rock around the mine shaft "Kosciuszko", and now serves for periodic visual inspection. Due to the fact that ongoing work injection may lead to deformation of the shaft lining and reinforcement the system that allowed real-time monitoring of the shaft was built. The processing of data obtained from recorded movies and photos gives also possibilities to generate a numerical model of the shaft in the form of a three-dimensional point cloud. In order to determine the accuracy of the 3D model a comparative analysis of a cloud of points obtained from laser scanning was made. Multistage accuracy analysis showed a high correlation between the models in the analyzed portion of the shaft. The mean square error of the model was calculated which amounted пїЅ33mm. The precision of the spatial model demonstrates the usefulness of the system for acquiring 3D data in vertical mine excavations. The acquired experience allows for continuous improvement of the system and increasing the accuracy of the data obtained by this method.

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Publication details

Title
THE VISUAL ASSESSMENT OF THE CONDITION OF A SHAFT LINING AND REINFORCEMENT EQUIPMENT USING A VIDEO MONITORING SYSTEM
Authors
PhD Wojciech Jaskowski, PhD Tomasz Lipecki, PhD Pawel Cwiakala, MSc Wojciech Matwij
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
727-734
SWS Citekey
Jaskowski20179727734
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
References9
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