Accuracy Optimizing of TRT Advance Forecast in Xishimen Iron Mine

For the large quantity of development drilling work in Xishimen iron mine, the method combined Experts Method and analytic hierarchy process (AHP) are used in TRT Advance forecast, focusing on the advantages of each method, and overcome the shortcomings of each method. Utilizing the analytic hierarchy process (through the MATLAB program) to calculate analyze and judging the weight function for each indicator of the 17 indexes, establish goaf assessment indicator system. Applying to Xishimen iron mine as an example, the main influencing factors of the goaf hidden dangers are goaf volume, correlation of goafs around, buried depth, maximum exposure area, which are consistent with the actual situation. Analyzing the combination weight analysis of advance forecast improves the accuracy of the advance forecast, makes it rationality, and makes the qualitative indexes quantitative; all of these provide the supports for the standardization of the advance forecast.