Abstract

In surface mining, rockfall can seriously threaten the safety of personnel located at the base of highwalls and cause serious damage to equipment and machinery. Close-range photogrammetry for the continuous monitoring of rock surfaces represents a valid tool to efficiently assess the potential rockfall hazard and estimate the risk in the affected areas. This work presents an autonomous terrestrial stereo-pair photogrammetric monitoring system developed to observe volumes falling from sub-vertical rock faces located in surface mining environments. The system has the versatility for rapid installation and quick relocation in areas often constrained by accessibility and safety issues and it has the robustness to tolerate the rough environmental conditions typical of mining operations. It allows the collection of synchronised images at different periods with high-sensitivity digital single-lens reflex cameras, producing accurate digital surface models (DSM) of the rock face. Comparisons between successive DSMs can detect detachments and surface movements during defined observation periods. Detailed analysis of the changes in the rock surface, volumes and frequency of the rocks dislodging from the sub-vertical rock surfaces can provide accurate information on event magnitude and return period at very reasonable cost and, therefore, can generate the necessary data for a detailed inventory of the rockfall spatial-temporal occurrence and magnitude. The system was first validated in a trial site, and then applied on a mine site located in NSW (Australia). Results were analysed in terms of multi-temporal data acquired over a period of seven weeks. The excellent detail of the data allowed trends in rockfall event to be correlated to lithology and rainfall events, demonstrating the capability of the system to generate useful data that would otherwise require extended periods of direct observation.

Highlights

  • Rock mass instabilities involving the detachment of rocks of various sizes from vertical or sub-vertical rock faces created during resource exploitation activities represent a significant safety hazard for personnel and machinery located at the base of rock walls [1]

  • To allow the easy and flexible installation of the system, the camera box is supported by a mounting-arm which can be clamped to a cylindrical steel pole

  • An autonomous terrestrial stereo-pair photogrammetric monitoring system was developed to collect volumes and frequency of rocks detaching from sub-vertical rock faces in surface mining environments, and it is described in this paper

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Summary

Introduction

Rock mass instabilities involving the detachment of rocks of various sizes from vertical or sub-vertical rock faces created during resource exploitation activities represent a significant safety hazard for personnel and machinery located at the base of rock walls [1]. An inherent drawback is the sparseness of measurements, that provides only pointwise (a priori defined) observations This represents a significant issue for the identification of unanticipated rock slope instabilities, such as rockfalls, for which more detailed digital surface models (DSM) are required [18]. Detailed three-dimensional (3D) models of rock slopes [19] can be successfully obtained by satellite, airborne and ground-based (GB) platforms such as Synthetic Aperture Radar Interferometry (InSAR), Light Detection and Ranging (LiDAR) and photogrammetry [18] These systems allow for high-resolution data acquisition, device portability and easy and fast data processing. Frequency–magnitude curves derived from collected data need to be quickly obtained For this purpose, accurate real-time change detection of the rock surface tracked by comparing models collected at different periods in time, are essential for a detailed inventory of the spatial-temporal occurrence and magnitude of the events. Results are analysed in terms of multi-temporal data acquired by the photogrammetric system over a period of seven weeks

Photogrammetric Monitoring System
Image Processing
Multi-Temporal Data Analysis
System Validation
Application
Site Description
March 2018 size and position
Findings
Conclusions
Full Text
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