Coal And Gas Outburst Real-time Monitoring And Early-warning Technology Of Jiuli Hill Mine

Such as coal and gas outburst of coal and rock dynamic disasters seriously affect the safetyin coal mine production, and threaten the safety of mine workers. With the increase of miningdepth, the danger of coal and gas outburst is increasing. For the problem that there are manyinterference sources on the handing face and false alarm with single indicator, this paper studieda method to filter out interference and establish a system of real-time monitoring andearly-warning. This effectively improved the real-time and accuracy of early-warning, and haveimportant meaning to ensure the safety of coal mine production.This paper studied on three real-time monitoring indictors of EMR (electromagneticradiation), AE(acoustic emission) and gas in14141heading face of Jiuli hill mine. It analyzedEMR and AE’s response regularity of construction and outburst risk in heading face. Throughstudied the regularity and characteristics of interference signals, filtering method was putforward, the influence was reduced. Based on the test in site, the method of early-warning bysingle indictor and early-warning criteria were put forward, and the system of real-timemonitoring and early-warning in Jiuli hill was established.This paper obtains the results as following:(1) Analyze existing predictors in work face using the Logistic regression model, as theresults the pulse of electromagnetic radiation and the amount of drill cuttings did not enter themodel; the intensity of electromagnetic radiation, initial speed from borehole gas emission, drillcutting gas analytical indicators and soft layer thickness were entered into the model. Indicatesthat on this workface, the model indicators above sensitive to outburst risk, whileelectromagnetic pulse and drill cuttings insensitive.(2)Established a monitoring system in the face with electromagnetic radiation, acousticemission and gas indictors, field test results show that: the intensity of electromagnetic radiationand acoustic emission are sensitive to constructions such as hydraulic cutting and blasting, andreflect to the overstep of common indictors and outburst risk in advance.(3)On the heading face, analyzed the interference suffered by acoustic emission andelectromagnetic radiation to determine the major interference. Through statistical analysis of thecharacteristics of interference and interference filter method by software is proposed based onthe characteristics, and the original data trend retains after interference is filter out.(4) Early-warning method such as overrun warning, trend warning, volatility warning wereproposed, and the thresholds were determined using fuzzy math to achieve the effect thatearly-warning use real-time monitoring indictors. Integrated real-time monitoring and early-warning criteria were established based on the monitoring situation in field, it improved theaccuracy of early-warning.