Construction of online Monitoring System and Monitoring Data Analysis for Tailings in Alpine Region

Chinese alpine regions experience strong sunshine, large temperature differences, prolonged low temperature and other conditions. Tailings melting caused by tailings spring flood season, in winter and spring alternately, can easily result in dam collapse. According to the characteristics of climate and temperature differences in the alpine region, there is great utility in analyzing the stability of the tailings dam, slope future trend and preventing tailings dam failure by designing and constructing a tailings pond online monitoring system suitable for alpine regions. A system capable of monitoring accurately under extreme weather conditions could track and transmit data, in real time, describing the changes of saturation line, displacement and settlement of the tailings. In this paper we establish an online monitoring system suitable for the alpine region in Inner Mongolia and analyze tailings online monitoring data from 2015 to 2016 to judge dam operation trends. By calculating the Hurst index and the average cycle period based on R/S method, we reached the conclusion that there is a long-term memory and persistence for the time series data of the monitoring point. The average cycle of the monitoring point can provide theoretical support for informing future trends of the monitoring points of the dam.