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基于指標(biāo)氣體變化規(guī)律的煤氧化自燃預(yù)報實驗研究

發(fā)布時間:2018-05-25 13:18

  本文選題:指標(biāo)氣體 + 臨界溫度。 參考:《中國礦業(yè)大學(xué)》2014年碩士論文


【摘要】:采空區(qū)自然發(fā)火直接威脅礦井的安全生產(chǎn),制約綜采放頂煤技術(shù)的發(fā)展,已成為實現(xiàn)綜放面高產(chǎn)高效和安全生產(chǎn)的主要障礙之一。實現(xiàn)煤炭自燃特性的準(zhǔn)確認(rèn)知是避免采空區(qū)自然發(fā)火的必要條件。 煤炭自燃特性如臨界溫度、最短自然發(fā)火期及指標(biāo)氣體優(yōu)選對自燃預(yù)測具有良好的指導(dǎo)意義。但以上指標(biāo)的分析往往依賴于技術(shù)人員經(jīng)驗,主觀性較強(qiáng)。本文基于程序升溫實驗,對指標(biāo)氣體變化規(guī)律進(jìn)行研究,綜合分段擬合、回歸分析、關(guān)聯(lián)度分析等方法,以期實現(xiàn)較為客觀的煤樣臨界溫度分析計算,最短發(fā)火期預(yù)測及較高溫度段指標(biāo)氣體優(yōu)選。 本文通過對指標(biāo)氣體變化規(guī)律的分析,建立了基于耗氧速率和CO氣體濃度變化的氧化動力學(xué)參數(shù)計算模型,通過分段擬合計算了不同溫度階段表觀活化能,分析得到了不同變質(zhì)程度煤樣的臨界溫度變化規(guī)律;匯總了20個不同煤質(zhì)煤樣活化能、水分、硫分、灰分等實驗數(shù)據(jù),并采用SPSS軟件建立了實驗最短發(fā)火期的線性回歸預(yù)測模型;進(jìn)行了較高溫度階段(100~200℃)指標(biāo)氣體及相關(guān)比值與溫度的灰色B型關(guān)聯(lián)度分析,優(yōu)選了煤樣自燃預(yù)報氣體。 應(yīng)用上述方法對和順一緣煤礦15#煤層煤樣自燃特性進(jìn)行分析,并采用Fluent軟件對1523綜放面采空區(qū)指標(biāo)氣體CO濃度積聚規(guī)律的進(jìn)行了探討。結(jié)果表明,煤樣氧化升溫臨界溫度在95~105℃范圍內(nèi),采空區(qū)指標(biāo)氣體CO臨界階段預(yù)報范圍為0.51-1.94ppm/℃,實驗最短發(fā)火期為121天,較高溫度階段優(yōu)選預(yù)報氣體為C2H6氣體,,所得工作面回風(fēng)隅角CO的積聚濃度最大為88ppm,采空區(qū)最高濃度為772ppm,是CO氣體監(jiān)控及煤自燃火災(zāi)防治的重點。 本研究結(jié)論實現(xiàn)了對氧化升溫階段煤自燃特性的數(shù)據(jù)化判斷,對指導(dǎo)采空區(qū)遺煤自燃的現(xiàn)場預(yù)報工作具有積極意義。
[Abstract]:Spontaneous combustion in goaf directly threatens the safety of mine production and restricts the development of fully mechanized top coal caving technology. It has become one of the main obstacles to realize high yield and high efficiency and safe production of fully mechanized caving face. Realizing accurate cognition of coal spontaneous combustion is a necessary condition to avoid spontaneous combustion in goaf. The characteristics of coal spontaneous combustion such as critical temperature, the shortest spontaneous combustion period and the optimal selection of index gas have good guiding significance for the prediction of spontaneous combustion. However, the analysis of the above indexes often depends on the experience of technical personnel and is subjective. Based on the temperature programmed experiment, this paper studies the change law of index gas, synthesizes the methods of piecewise fitting, regression analysis, correlation analysis and so on, in order to realize more objective analysis and calculation of critical temperature of coal sample. Prediction of the shortest ignition period and optimal selection of target gases at higher temperatures. Based on the analysis of the variation law of the index gas, the oxidation kinetics parameter calculation model based on oxygen consumption rate and CO concentration variation is established, and the apparent activation energy at different temperature stages is calculated by piecewise fitting. The critical temperature variation of coal samples with different metamorphic degree was obtained, and the experimental data of activation energy, moisture, sulfur, ash and so on were collected from 20 coal samples with different metamorphism. The linear regression prediction model for the shortest firing period of the experiment was established by using SPSS software, and the grey B correlation analysis of the index gas and the correlation ratio with the temperature was carried out in the higher temperature stage, and the prediction gas for spontaneous combustion of coal sample was selected. The characteristics of spontaneous combustion of coal samples in No. 15 coal seam of Heshun Yiyuan Coal Mine are analyzed by using the above method, and the law of CO concentration accumulation in goaf of 1523 fully mechanized caving face is discussed by Fluent software. The results show that the critical temperature of oxidation temperature of coal sample is 95 ~ 105 鈩

本文編號:1933256

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