Multi-stress Monitoring and Early Warning Analysis of Underground Water Storage Goaf
To solve the problem of vague stress monitoring and early warning for water storage facilities in coal mine underground goaf,a system was designed and built on site.By eliminating anomalies and standardizing corresponding force source data,the Hartley test method was used to determine whether there was any difference in the overall variance of the basic data.Furthermore,a detailed analysis was conducted on the weak trend of stress data under the condition of no difference in variance.The four level early warning interval of stress data with prominent change trend was obtained through F-ratio,p-value,and t-test methods.Taking a water storage goaf in a western mine as the research object,the reliability of the multi stress monitoring and early warning method is tested,which can identify and independently warn the same source multi stress monitoring data,and analyze the specially identified stress data.The research results showed that the multi-stress monitoring and early warning method could accurately identify the real-time changes and fluctuations in stress data.After testing 40 stress data on site,the success rates of testing fourth level and first level and above stress data were 90%and 95%,respectively,indicating that this method can quantitatively highlight and identify multi-stress data.A joint comparative analysis was conducted on the changes in water level height during the contract period,and it was found that there is a positive correlation between stress changes and water level height,which has been well validated.This method has been practically applied on site and has good practicality.
water storage and goafmonitoring and early warningHartley testvariancefour-level early warningwater level