Authors: Benton, DJ; Seymour, JB; Boltz, MS; Raffaldi, MJ; Finley, SA
Editors: Wesseloo, J
Conference: Eighth International Conference on Deep and High Stress Mining, 28-30 March, Perth
Published: Australian Centre for Geomechanics, Proceedings of the Eighth International Conference on Deep and High Stress Mining, pp.587-598, Perth
Deformation and support conditions in underground mines are typically monitored through visual inspection and geotechnical instrumentation. However, the subjectivity of visual observation techniques can result in ambiguous or incomplete analyses with little quantifiable data. Monitoring displacements with conventional instrumentation can be expensive and time-consuming, and the information collected is typically limited to just a few locations. Moreover, conventional methods usually provide vector rather than tensor descriptions of geometry changes, the latter of which offer greater insight into rock movements and potential ground fall hazards. To address these issues, researchers from the National Institute for Occupational Safety and Health’s Spokane Mining Research Division have developed and evaluated photogrammetric systems for ground control monitoring applications in underground mines. In cooperation with the Hecla Mining Company, photogrammetric surveys were conducted over a three-year period at the Lucky Friday mine in northern Idaho, United States of America, as underhand cut-and-fill mining methods were used to mine Ag-Pb-Zn ore in rockburst-prone ground conditions at depths approaching 2,100 metres. A photogrammetric system was developed for underground use at the mine that is not only mobile, rugged, and relatively inexpensive, but also capable of producing measurements comparable to conventional displacement-measuring instrumentation. This paper describes the components of the photogrammetric system, discusses the use of point cloud analyses from photogrammetric surveys to monitor bulk deformation in underground entries, and explains the advantages of full tensor descriptions of three-dimensional (3D) ground movement, particularly in regard to the interpretation of potential movement along fault intercepts. The practical use of photogrammetry to augment measurements from conventional instruments, such as crackmeters, is presented, as well as the use of photogrammetric data in conjunction with 3D visualisation software to synthesise and integrate complex information from diverse sources including geology, mining configuration, seismicity, and geotechnical instrumentation.
Keywords: photogrammetry, ground monitoring, instrumentation, remote sensing
Keywords: photogrammetry, ground monitoring, instrumentation, remote sensing
Benton, DJ, Seymour, JB, Boltz, MS, Raffaldi, MJ & Finley, SA 2017, 'Photogrammetry in underground mining ground control — Lucky Friday mine case study', in J Wesseloo (ed.), Proceedings of the Eighth International Conference on Deep and High Stress Mining
, Australian Centre for Geomechanics, Perth, pp. 587-598.
Barazzetti, L, Sala, R, Scaioni, M, Cattaneo, C, Gibelli, D, Giussani, A, Poppa, P, Roncoroni, F & Vandone, A 2012, ‘3D scanning and imaging for quick documentation of crime and accident scenes’, in EM Carapezza (ed.), Proceedings of SPIE: Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, vol. 8359.
Benton, DJ, Iverson, SR, Martin, LA, Johnson, JC & Raffaldi, MJ 2016, ‘Volumetric measurement of rock movement using photogrammetry’, International Journal of Mining Science and Technology, vol. 26, pp. 123–130.
Benton, D, Iverson, S, Johnson, J & Martin L 2014, ‘Photogrammetric monitoring of rock mass behavior in deep vein mining’, Proceedings of the Thirty-Third International Conference on Ground Control in Mining, pp. 221–227.
Birch, JS 2008, ‘Using 3DM analyst mine mapping suite for underground mapping’, Laser and Photogrammetric Methods for Rock Tunnel Characterization, American Rock Mechanics Association, Alexandria.
Boesemann, W 2003, ‘Photogrammetry in the line: recent developments in industrial photogrammetry’, Proceedings of SPIE Volume 5144: Optical Measurement Systems for Industrial Inspection III, International Society for Optics and Photonics, pp. 758–765.
Coleman, P, Martini, L & Brune, J 2010, Safety and Health in U.S. Mines, 1999- 2009, National Institute for Occupational Health and Safety internal report.
Ferrero, AM, Forlani, G, Roncella, R & Voyat, HI 2009, ‘Advanced geostructural survey methods applied to rock mass characterization’, Rock Mechanics and Rock Engineering, vol. 42, no. 5, pp. 631–665.
Jose, A, Haak, D, Jonas, S, Brandenburg, V & Deserno, TM 2015, ‘Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color’, in LM Hadjiiski & GD Tourassi (eds), Proceedings of SPIE Volume 9414: Medical Imaging 2015: Computer-Aided Diagnosis.
Kalpoe, D, Khoshelham, K & Gorte, B 2011, ‘Vibration measurement of a model wind turbine using high speed photogrammetry’, in F Remondino & MR Shortis (eds), Proceedings of SPIE Volume 8085: Videometrics, Range Imaging, and Applications XI, International Society for Optics and Photonics.
Koschitzki, R, Schacht, G, Schneider, D, Marx, S & Maas, H-G 2011, ‘Integration of photogrammetry and acoustic emission analysis for assessing concrete structures during loading tests’, in F Remondino & MR Shortis (eds), Proceedings of SPIE Volume 8085: Videometrics, Range Imaging, and Applications XI, International Society for Optics and Photonics.
Lato, M, Kemeny, J, Harrap, RM & Bevan, G 2013, ‘Rock bench: Establishing a common repository and standards for assessing rockmass characteristics using LiDAR and photogrammetry’, Computers and Geosciences, vol. 50, pp. 106–114.
Li, H, Zhang, RC, Yang, B & Wu, MF 2014, ‘Principle and geometric precision of photographic geological logging of tunnels’, Journal of Applied Remote Sensing, vol. 8, 083617.
Orr, TJ, MacDonald, BD, Iverson, SR & Hammond, WR 2015, ‘Development of a generic mine visualization tool using unity’, Proceedings of the Thirty-Seventh International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Society for Mining, Metallurgy & Exploration, Englewood.
Paar, G & Kontrus, H 2006, ‘Three-dimensional tunnel reconstruction using photogrammetry and laser scanning’, Proceedings of the Third Nordost, Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3DDaten.
Partsinevelos, P, Mertikas, S, Agioutantis, Z, Tsioukas, V, Tripolitsiotis, A & Zervos, P 2014, ‘Rockfall detection along road networks using close range photogrammetry’, in DG Hadjimitsis, K Themistocleous, S Michaelides & G Papadavid (eds), Proceedings of SPIE: Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), vol. 9229.
Preston, R, Roberts, D, McIntire, H & Stead, D 2015, ‘Use of photogrammetry to estimate mine pillar damage and strength’, Proceedings of the 2015 International Symposium on Rock Mechanics, International Society for Rock Mechanics, Lisboa.
Seymour, J, Martin, L, Clark, C, Tesarik, D & Stepan, M 2013, ‘An analysis of recent MSHA accident data for underground metal mines using backfill’, SME 2013 Annual Conference and Expo, Preprint 13-061.
Seymour, J, Benton, D, Raffaldi, M, Johnson, J, Martin, L, Boltz, MS & Richardson, J 2016, ‘Improving ground control safety in deep vein mines’, Proceedings of the Third International Symposium on Mine Safety Science and Engineering, vol. 1, no. 87,
Schwartz, JM 2011, ‘Precise positioning surveillance in 3-D using night-vision stereoscopic photogrammetry’, in JJ Güell, KL Bernier, JT Thomas & DD Desjardins (eds), Proceedings of SPIE Volume 8042: Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011, International Society for Optics and Photonics.
Signer, S 2011, Assessment of Ground Control for Underground Metal Mines. Ground Control Branch Strategic Planning Document, National Institute for Occupational Health and Safety internal report.
Urban, R, Braun, J & Stroner, M 2015, ‘Precise deformation measurement of prestressed concrete beam during a strain test using the combination of intersection photogrammetry and micro-network measurement’, in F Remondino & MR Shortis (eds), Proceedings of SPIE Volume 9528: Videometrics, Range Imaging, and Applications XIII, International Society for Optics and Photonics.
Viggiani, G & Hall, SA 2008, ‘Full-field measurements, a new tool for laboratory experimental geomechanics’, Proceedings of the Fourth International Symposium on Deformation Characteristics of Geomaterials, pp. 3–26.