Summary
Fast growing mechanization and automation in the mining industry has been adopted to increase production, productivity and safety, but it requires quick, precise and automatic measurements. In particular, the measurement of deformations around a coal-mining face has been an extremely difficult task due to the time and space constraints of such sites. In a continuing drive to reduce the inherent risks of danger during working around such difficult areas, much routine inspection work is increasingly being undertaken by remote measuring systems. The advent of digital photogrammetry provides an opportunity for real-time dimensional measurement of such inaccessible areas. In this paper, some examples of reliability testing of automatic measurements using grey scale digital images of mining structures is described. A CCD (charged coupled device) based active triangulation system is combined with image understanding algorithms to provide machine vision capability and for automatic measurement of the textureless and featureless surface of sandstone strata. This paper also presents some results of initial laboratory investigations conducted to test the reliability of basic components of the system.
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Singh, R., Chapman, D.P. & Atkinson, K.B. Machine vision for dimensional measurements in mines. Geotech Geol Eng 15, 185–203 (1997). https://doi.org/10.1007/BF00880824
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DOI: https://doi.org/10.1007/BF00880824