Abstract
In order to avoid or reduce the mined-out area of instability, we should monitor these hazards in situation so as to achieve the purpose of disaster prevention and mitigation, using the monitoring results predicted and timely protective measures. Due to rock with nonlinear dynamic instability disasters and time series data, the theory of grey system was suitable for disaster of identification. So the method on the modeling of grey prediction model was researched in this paper, the grey system theory was put into application in mined-out area with instability of rock, the identification model was established with the characteristics of rock acoustic emission. The data sequence of acoustic emission monitoring was forecasted by the established model of mine in field. Forecasting results in the actual situation had shown relatively close to the grey prediction model, It was indicated that the grey prediction model was feasible.
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Zhang, H., Song, W. (2010). Hazard Source Identification of Mined-Out Area Based on Grey System Theory. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_63
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DOI: https://doi.org/10.1007/978-3-642-16167-4_63
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