ABSTRACT
The hydrogeological conditions of coal resource exploitation are complex. Therefore, the research on effective water control technology is of great significance for the mining of coal mines. This paper proposes a method of water inrush early warning based on the curve similarity analysis model (CSAM). Firstly, the data variation curve based on the advancing distance is plotted according to the monitoring data of two adjacent mine working faces. Secondly, based on the derivative dynamic time warping (DDTW) algorithm integrating Gaussian function and Procrustes analysis combined with discrete fréchet distance, the similarity of distance and trend of the curve is measured respectively. The experiment shows that there is an obvious difference in the similarity of the water inflow curve between normal mining and water inrush in the working face. The method based on curve similarity measurement proposed in this paper provides a new idea for early warning of water inrush in the coal mining areas.
