基于Logistic回归分析的煤自燃多级预警方法研究

为实现煤自燃过程的精细分级与自燃隐患的精确预警,保障井下煤自燃防治工作有效开展和煤炭资源安全开采.以甘肃王家山矿202工作面煤样为测试对象,采用煤自然发火试验与程序升温试验手段模拟煤体自然发火过程.测定煤自燃指标气体等特性参数数据,分析相关指标气体特征,将煤自燃过程划分为稳定、波动和剧烈反应3大区间.通过处理指标数据以...     

煤矿井下隐蔽火源反演研究

煤矿井下由于煤炭自燃引发的火灾是煤矿生产过程中一大突出灾害,一旦发生火灾将严重影响煤矿的正常生产,这不仅威胁着井下人员的生命安全,还会给国家带来巨大的经济损失。由于矿井下隐蔽火源是引发火灾的重大因素之一,所以要更好的解决煤炭自燃而引发火灾的问题,重中之重就是对煤炭自燃隐蔽火源位置的确定。只有准确的确定了火源的位置,才能有的放矢地进行灭火。本文结合煤矿井下煤炭自燃发火的特点,建立数学模型,把煤矿井下隐蔽火源位置确定问题归纳为热传导方程的寻源反问题,利用离散正则化方法求解热传导方程,克服了反演问题的不适定性,并应用matlab进行了反演数值模拟,验证了利用离散正则化反演方法的实用性,为防火、灭火采取措施提供了依据,在理论上也具有一定的研究与应用价值。     

高瓦斯矿井孤岛综放采空区遗煤自燃综合防治技术

针对国阳二矿高瓦斯自燃煤层综放开采的实际情况,分析了"U+Ⅱ"型孤岛综放面采空区遗煤自燃特点及危险性。利用单元法对孤岛面的漏风状况进行了实测,并通过数值模拟分析了综放采空区内的漏风流场,根据采空区自燃"三带"的渗流风速确定了可能自燃带的范围,表明采空区漏风是"U+Ⅱ"型孤岛综放面采空区遗煤自燃的主要危险因素。在此基础上,结合实际情况系统地制定了以有效控制采空区漏风和重点发火区域注胶为主的综合防灭火技术措施,为有效控制综放采空区遗煤自燃,实现矿井高产高效、安全生产提供技术保障。实践表明,运用控制工作面风量与高抽巷负压、均压堵漏、压注胶体防灭火材料及加快工作面推进速度等综合防灭火技术防治高瓦斯矿井"U+Ⅱ"型孤岛综放面采空区遗煤自燃是可行的。     

Investigation of the propensity of sulfide concentrates to spontaneous combustion in storage

Spontaneous combustion of sulfide concentrates can cause many serious problems during storage. In this study, two representative samples (sulfur-rich sulfide concentrate and iron-rich sulfide concentrate) were investigated for the self-heating behavior using the crossing-point temperature (CPT) method. The corresponding apparent activation energies were determined, 13.7366 kJ/mol for iron-rich sulfide concentrate and 21.3817 kJ/mol for sulfur-rich sulfide concentrate. Furthermore, the surface temperatures of sulfide concentrate stockpiles in different seasons were also measured by a thermal image apparatus. It was found the temperature for iron-rich sulfide concentrate stockpile was higher than that for rich-sulfur sulfide concentrate stockpile. These research results show iron-rich sulfide concentrate exhibits stronger propensity to spontaneous combustion than sulfur-rich sulfide concentrate. Particular attention should be paid to the fire hazard of iron-rich sulfide concentrate in daily safety check work. The combination of the CPT method with the infrared thermal image measurement provides a new approach for the risk assessment on the propensity of sulfide concentrates to spontaneous combustion during the production, storage and transportation. The useful data and experience achieved in this investigation can be also referenced in similar cases later.     

Sources of underground CO: Crushing and ambient temperature oxidation of coal

As a harmful gas in underground coal mine, CO seriously threatened the safety of miners. Currently, the spontaneous combustion of residual coal in goaf is generally considered as the main source of underground CO. CO gas is also widely used as an indicator gas in fire prediction in mines. However, high concentrations of CO are also detected in some mines without spontaneous combustion of coal. Therefore, in the paper, with four ranks of coal, we studied other two potential CO sources: crushing and oxidation at ambient temperature. The more completely crushed coal produces more CO. The concentration of generated CO is inversely proportional to moisture content in coal. Therefore, the addition of water can inhibit the generation process of CO during the crushing process of coal. Lignite with low metamorphic grade can be oxidized to produce CO at ambient temperature (25 °C), and anthracite with high coal rank can be only oxidized to produce CO at 60 °C. Infrared spectra indicated that the coal with rich aliphatic hydrocarbons and oxygen-containing functional groups are more susceptible to oxidation at room temperature. Moreover, the smaller particle size of coal is more beneficial to the oxidation at ambient temperature to generate CO. CO generation during coal oxidation is also closely related to the ventilation rate.     

硫化矿石堆自燃预测预报技术

笔者在参考大量有关煤炭自燃理论研究成果的基础上,结合国内外关于硫化矿石氧化自燃的研究现状,对硫化矿石堆自燃的预测预报技术进行系统分析。概述硫化矿石氧化自热的机理;详细介绍硫化矿石的自燃倾向性测试、综合因素评价、统计经验法等预测方法;找出煤炭与硫化矿石堆自燃过程的共性,提出了数学模型模拟预测方法;阐述了标志气体分析和测温两种预报方法。展望硫化矿石堆自燃预测预报技术对硫化矿山的安全生产具有重要的指导意义。     

Research and application of comprehensive electromagnetic detection technique in spontaneous combustion area of coalfields

Perplexed by severe disasters, spontaneous combustion areas of coalfields in China not only lose a large number of precious coal resources but damage the ecological environment badly. The premise of effective control against the disasters is investigations on the source position and scope of spontaneous combustion areas at coalfields so as to provide scientific basis for fire extinguishment design and construction of coalfields. Working principles, construction methods and detection effects of high resolution earth resistivity method, transient electromagnetic method (small loop-center probe device) applied in the detection of combustion areas at coalfields have been introduced. The application shows that the above mentioned methods can detect the accurate position of underground combustion areas, are effective ones in detecting the combustion center, combusted area and distribution scope of combustion areas at coalfields, and have broad application prospects.     

采空区隐蔽火源探测及声学法煤温感知新技术探讨*

为精准判定采空区等地下隐蔽火区高温点的位置和范围,综述现有采空区煤自燃温度探测技术,重点总结和分析红外探测法、分布式光纤测温法、指标气体探测法、热电偶测温技术以及同位素测氡法等煤层测温手段的研究进展与技术瓶颈,着重研究声学法测温的技术原理及实现方式;结合分层建模和插值建模的优点,探讨声学测温技术在采空区松散煤体煤温反演探测应用中的可行性。结果表明:受限于煤层赋存及开采方式等煤矿现场的实际情况,准确反演和精确定位采空区等隐蔽火源高温点和位置的探测方法和装备技术有待进一步发展;声学法探测松散煤体自燃温度的基本原理、传播衰减规律、温度场重构模型及其关键特征参量需进一步准确获取;综合考量声学测温技术原理和实现过程,该技术适用于采空区松散煤体自燃火区的环境特征,有望成为采空区隐蔽火源位置精准探测发展前景良好的探测方法。     

乌达煤矿采空区煤自燃影响因素评价分析

应用层次分析理论,选择影响乌达煤矿采空区煤自然发火的主要因素即煤的自燃倾向性、煤层的赋存条件、开采技术水平等,进行分析计算。依据层次分析法确定了采空区煤自燃各影响因素的权重系数,并对其进行总排序,最后进行综合评定各采空区煤自燃影响因素。评定结果表明:煤自燃倾向性M、煤的硫含量L、回采工作面推进速度g、地质构造d等是影响采空区煤自燃的主要因素。为制定相应的开拓开采方案和有效的防火措施,提供了科学的理论依据和切合实际情况的评价方法。     

矿井下着火点位置数值模拟研究

矿井煤炭自燃是煤矿五大自然灾害之一,而煤炭自燃隐蔽着火点位置的确定是解决煤炭自燃问题的关键。本文结合实际情况将火源位置的确定问题归结为热传导方程的寻源反问题。在理想状态下,把煤矿井下热传导的三维模型简化为二维模型,建立热传导方程及初始条件和边界条件,在matlab中编制了有限差分程序对井下着火点的温度场进行了正反演模拟。数值模拟结果表明:该方法能够较准确地反演出火源的特性,并随着离散化程度的提高,离散解逐渐逼近真实解。通过本文的数值模拟我们得知有限差分法求解热传导寻源反演的方法是解决矿井隐蔽火源发火点位置的有效途径之一,对矿井防、灭火研究具有较高的理论和实际应用价值。     

Dynamic risk assessment for underground gas storage facilities based on Bayesian network

Loss of the underground gas storage process can have significant effects, and risk analysis is critical for maintaining the integrity of the underground gas storage process and reducing potential accidents. This paper focuses on the dynamic risk assessment method for the underground gas storage process. First, the underground gas storage process data is combined to create a database, and the fault tree of the underground gas storage facility is built by identifying the risk factors of the underground gas storage facility and mapping them into a Bayesian network. To eliminate the subjectivity in the process of determining the failure probability level of basic events, fuzzy numbers are introduced to determine the prior probability of the Bayesian network. Then, causal and diagnostic reasoning is performed on the Bayesian network to determine the failure level of the underground gas storage facilities. Based on the rate of change of prior and posterior probabilities, sensitivity and impact analysis are combined to determine the significant risk factors and possible failure paths. In addition, the time factor is introduced to build a dynamic Bayesian network to perform dynamic assessment and analysis of underground gas storage facilities. Finally, the dynamic risk assessment method is applied to underground gas storage facilities in depleted oil and gas reservoirs. A dynamic risk evaluation model for underground gas storage facilities is built to simulate and validate the dynamic risk evaluation method based on the Bayesian network. The results show that the proposed method has practical value for improving underground gas storage process safety.     

干燥条件下高硫煤低温氧化特性研究

为进一步揭示不同环境条件下高硫煤的低温氧化特性,选取含硫量较低、自燃倾向性较高的褐煤,向其添加不同比例的FeS2,配制成含量分别为3%,5%,7%的混合高硫煤样,利用中国矿业大学自行研制的煤氧化模拟试验系统,测试分析干燥混合煤样在低温氧化过程中,交叉温度和指标气体CO产生量体积的变化。试验结果表明,在低温干燥的条件下,随着FeS2含量的增加,煤样的氧化特性受到抑制:交叉点温度升高;指标气体CO产生量在相同温度时体积降低。因此,在高硫煤层自燃火灾防治过程中,应尽量控制煤层周围环境的干燥度。     

矿井防灭火技术现状及研究进展

评述了国内外常用防灭火技术的现状,并分析了常用技术的主要优缺点;列举防灭火技术的最新研究进展,包括粉煤灰固化泡沫技术、三相泡沫技术、悬浮山砂的稠化剂技术等;介绍新技术的特点及应用情况。在防治矿井煤炭自燃的过程中,由于煤自燃特点及矿井的实际条件,单一的手段难以起到完全理想的效果,往往是多种防灭火技术综合作用的结果。     

煤自然发火预测预报技术的现状与展望

煤自然发火预测预报是对煤层火灾参数指标进行超前判识及预警的根本技术手段。笔者通过概述国内外近年来有关煤自然发火预测预报技术的主要研究成果 ,并结合其现状分析和新技术介绍 ,进一步对煤自然发火预测预报技术的发展趋势作出了展望 ,对煤矿的安全生产和火灾预测预报技术的发展具有重要的指导意义     

煤炭自然发火事故树分析及预防

为了有效地控制煤炭自然发火,减少矿井火灾的发生,依据系统工程的原理,结合煤炭自燃的条件建立了煤炭自然发火事故树,求解得出了事故树最小径集,利用最小径集得出了各基本事件的结构重要度,从而定性分别对砌碹巷道煤炭自然发火事故、采空区(报废采区)遗煤自然发火事故、采空区(生产采区)遗煤自然发火事故、报废巷道与停工停风独头巷道煤炭自然发火事故进行了分析,得出了引起煤炭自然发火的主要原因,并针对其提出了防治煤炭自然发火的预防措施。     

Study of coal oxidation behaviour in re-opened sealed heating

Possible changes in the oxidation behaviour of coal in the spontaneous combustion site of re-opened sealed heating were studied. Two samples of bituminous coal and three types of coal pre-treatment procedures were applied to simulate in situ conditions at the “spon-com” site: i) pre-oxidation of coal, ii) pre-heating of coal under inert gas, and iii) immersion of pre-heated coal in liquid water. Pre-treated samples were then examined for the production rate of the indication gases evolved during oxidation and for oxidation heat effects. Two main conclusions were drawn with respect to oxidation of the coal in re-opened sealed heating: i) carbon monoxide and unsaturated hydrocarbons maintain their relevance as spontaneous combustion indication gases, however, increased production of both carbon oxides can be expected; ii) coal in the extinguished spontaneous combustion site gains increased susceptibility to the self-heating process.     

集对分析在煤炭自然发火危险性评价上的应用

为了解煤炭自然发火危险性程度,及时对采空区在发火前采取相关措施,对其进行发火危险性评价显得尤为重要。提出了基于集对分析的煤炭自然发火危险性评价方法,以集对分析理论为基础,将煤炭自然发火看成一个确定不确定系统,建立了煤炭自然发火评价模型。以梁家煤矿4110采空区为例,将计算结果与基于熵权未知理论的评价结果作比较,得出的结论一致。表明了集对分析运用在煤炭自然发火危险性评价上是可行的,可为矿井生产和其他系统的分析评价提供参考     

Numerical investigation and theoretical prediction of self-ignition characteristics of coarse coal stockpiles

Spontaneous combustion of coarse coal stockpiles in temporary coal storage yards was investigated numerically using COMSOL Multiphysics software. The main purposes of the numerical investigation were to identify the self-ignition characteristics of coarse coal stockpiles and formulate a theoretical model to predict the self-ignition time and locations of coarse coal piles. A mathematical model for self-ignition of coarse coal piles was developed and the process of spontaneous ignition of coarse coal stockpiles was simulated. The kinetic data of low-temperature oxidation reaction was obtained from the laboratory-scale experiments with bituminous coals taken from Jindi Coal Mine of Shanxi Province in China. The influence of moisture was ignored because the studied coal had low moisture content (mass concentration: 1.87%) and both coal and ambient environment were assumed to be saturated with moisture (or ambient environment was assumed to be dry). The effects of five variables (i.e. wind velocity, oxygen concentration, height, porosity, and side slope) on the spontaneous ignition in coarse coal piles were examined. Simultaneously, a theoretical prediction model was formulated in light of variable analyses and a great number of simulations.Compared to self-ignition characteristics of fine-particle coal piles, several self-ignition characteristics of coarse coal piles were identified by numerical investigation. Wind-driven forced convection plays a predominant role in self-heating of coarse coal piles. As wind velocity increases, the self-ignition location in the pile migrates from the lower part which is close to the surface of the windward side to the upper part near to the surface of the leeward side. Wind velocity increase exerts the positive or the negative effect on self-heating, which depends on a critical wind velocity value to sustain balances of both the heat and the availability of oxygen in the coarse coal pile. The behavior of self-ignition is remarkably sensitive to both oxygen concentration and height, and a coarse coal stockpile will not ignite spontaneously as long as one of two critical variable values is satisfied: oxygen concentration of 5% or height of 3 m. The theoretical prediction model suggests when and where countermeasures should be made to prevent the self-ignition in the coal stockpile with engineering accuracy.     

露头煤层自燃相似实验研究及热释放速率计算

为了研究露头煤层自燃发火过程以及判定火灾发展状态与趋势,自主设计了露头煤层自燃过程相似模拟系统实验装置。通过分析相似模拟实验数据,得到火区气体CO_2,CO,O_2体积分数与温度之间的变化关系具有良好的相关性,可作为判定火灾状态的标志性气体,并拟合出O_2体积分数与温度之间的关系方程。根据氧消耗原理及相关理论,得到了煤在干燥环境中阴燃状态下的热释放速率简化关系方程,为煤田火灾的研究和防治提供了参考依据。     

基于事故树分析法的气膜式储煤棚消防安全风险分析

为了降低气膜式储煤棚的消防安全风险,运用事故树分析方法对导致气膜式储煤棚发生火灾的相关因素进行分析,绘制出气膜式储煤棚火灾事故树,计算出最小割集、最小径集以及基本事件的结构重要度,并对它们进行研究分析,最后结合分析结果提出相关意见与建议,为煤矿储运企业进行火灾防控提供一定的参考。