煤矿井下自燃火灾的图像识别及综合判据系统

煤矿自燃火灾的早期探测及预报是保证煤炭生产安全的有效手段。目前已有的各种预测预报技术,虽对煤炭自燃火灾的防治起到一定的作用,但对于不同煤质和不同地质赋存情况下的煤矿,单一探测方法的预测精度有限,在探测的准确性和有效性方面尚不能完全满足各种类型煤矿安全生产的需要。为了提高煤炭自燃灾害早期探测的可靠性,笔者提出一种以图像识别技术为基础的煤炭自燃发火探测方法,并进一步利用信息融合技术结合其他探测方法建立一套煤矿自燃发火综合判据系统,该系统有助于提高煤炭自燃预测的准确性,对煤矿的安全生产能发挥重要作用。     

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。     

模糊综合评判法在煤炭自燃预测中的应用

运用模糊综合评判法预测煤炭自燃。在分析煤炭自燃影响因素的基础上，从煤体的氧化放热性能、供氧条件和煤体蓄放热环境三方面确定了模糊综合证券的因素指标，提出了确定评判指标属性值和权重值的方法，并将模糊综合评判法成功应用于矿山煤炭自燃的预测。     

多因素耦合条件下硫化矿自燃神经网络动态预测模型研究

硫化矿石自燃是多种因素、多场耦合综合作用的结果,是一典型的非线性问题。笔者应用人工神经网络技术,以Matlab软件为平台,通过现场调查和理论分析,建立了矿石含硫量、通风强度、环境温度3因素与硫化矿石自燃之间的预测模型;通过数据样本学习与部分现场监测数据相结合进行模拟,研究表明预测数据与实测结果基本吻合,误差控制在10%以内,取得了较好的效果。该研究为预防硫化矿石自燃提供一个新的思路和方法,具有一定的理论意义和应用价值。     

采区煤层煤炭自燃发火危险模糊评价方法的研究

采区煤层煤炭自燃发火危险程度综合评价预测的目的是揭示煤炭自燃的规律,以采取相应的技术决策,控制煤炭自燃,减少损失,实现安全生产。 煤层自燃灾害的预测与防治技术的研究涉及到大量的信息处理问题,及信息处理所必须的数学分析与计算。然而,人们却很难找到一种有效的数学方法来处理这些系统的     

煤炭自燃灾变过程突变特性研究

为深入了解煤自燃机理,实现对煤矿火灾的科学防治,有必要研究煤炭自燃过程及其特性。煤自燃过程中,温度和氧化产物都表现出明显的非线性特征。基于突变理论,结合煤自燃化学反应动力学理论,描述煤自燃的非线性发展过程,并分析氧化气体、温度和煤自燃属性之间的定量关系,从理论上阐释煤自燃升温和降温过程中非对称现象的产生原因。提出用突变温度作为指标评价煤自燃倾向性。分别用程序升温氧化试验和绝热氧化试验,验证煤自燃倾向性评价结果和滞后效应现象。结果表明,理论分析和试验结果具有很好的一致性。     

煤炭自燃位置的分析与查找

从分析煤炭自燃的条件出发,提出了火源点的分析原则,并应用这些原则对兴隆庄煤矿的煤炭自燃情况进行了具体分析。     

基于储运现状的煤炭自燃影响因素分析

文章先分析了煤炭储运的现实条件和防自燃措施的现状,然后针对储存和运输过程中几个影响煤炭自燃的因素,对其在防治煤炭自燃时几种矛盾的理论知识和做法进行了分析,以便采取正确的技术措施和管理措施防止煤炭在储运过程中自燃现象的发生。     

基于MATLAB工具箱的开采煤层自燃危险性预测

正确预测开采煤层自燃发火的趋势与危险性,对煤矿安全生产具有重要的指导意义。煤层自燃发火的趋势和危险程度与其影响因素之间存在着复杂的非线性关系,而人工神经网络具有极强的非线性逼近能力,能真实刻画出输入变量与输出变量之间的非线性关系。为准确预测开采煤层自燃发火的危险性,笔者针对反向BP神经网络收敛差的缺点,分别采用基于MATLAB神经网络工具箱中的VLBP和LMBP算法的改进BP神经网络模型对开采煤层自燃的危险性进行了预测。根据开采煤层自燃的特点,选取煤本身自燃倾向性、煤层地质及赋存条件、通风技术条件3个关键影响因素作为开采煤层自燃危险性的评判指标,建立了开采煤层自燃危险性预测的神经网络模型。实际应用效果表明,采用基于MATLAB神经网络工具箱的BP网络模型,能克服一般BP网络收敛较慢的缺点,能加快收敛速度;运用LMBP算法比VLBP算法快,但需较大计算机内存;该模型收敛速度快,准确性高,是一种十分有效的开采煤层自燃危险性预测方法。     

煤炭自然发火预报指标气体研究

利用指标气体预报煤炭自燃是预防和控制煤炭自燃火灾的重要方法,不同煤样自然发火的指标气体及临界值可能不同,在实际预报中,应根据矿井实际情况选择正确的指标气体及其临界值.通过自燃特性试验,研究了高头窑煤矿2-3煤层煤炭自燃过程中的标志性气体,分析了各气体产生量随煤样温度变化的曲线.确定该矿的主要指标气体为CO、C2H4及稀烷比.当CO含量持续存在并不断增加则认为煤炭已自燃,C2H4含量达到0.5ppm意味着煤体的温度可能已经达到145℃.该结果对该矿煤炭自燃火灾的预防和控制工作具有重要意义.     

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.     

堆积状态下低品质煤临界自燃着火点测定与研究

为了研究低品质煤炭堆积状态下内部自热理论,采用临界自燃着火点理论和Frank-Kamenetskii 模型研究了煤堆内部热产生与热散失平衡理论以及煤堆表面的换热现象;并应用设计研发的煤堆热扩散率及温度监测实验装置和测定方法来评估低品质煤样（褐煤以及亚烟煤）临界自燃温度。结果表明:煤样堆积状态下临界自燃着火点温度可通过实验室内测定分析不同体积网框在不同环境温度条件下自热曲线得出;同体积条件下,临界自燃着火点随着煤品质的升高而增加;在140 ℃ 环境条件下,1#,2# 和3# 煤样在快速升温的前20 min内,温度变化趋势相似;在60~65 ℃,3种煤样出现温度转折点,升温速率开始减缓;根据煤样临界自燃着火点温度结合F-K热发火边界条件理论得出的堆积体积与着火点耦合关系式可预测大体积煤样自燃倾向性及临界自燃温度。     

煤炭自燃发火危险程度识别研究

对影响煤炭自燃发火危险程度的主要因素进行主观判断，运用逐步聚类分析法，对开采煤层煤炭自燃发火的危险程度进行识别，为判定煤炭自燃发火危险程度提供了一种理论方法     

煤炭自燃机理及防治技术分类研究

通过分析国内外学者对煤自燃机理的不同说法,提出了煤自燃过程的3个阶段,即潜伏阶段、自热阶段和自燃阶段,指出煤体要发生自燃必须具备4个条件:具有低温氧化性并以破碎的状态存在,有氧体积分数大于12%的空气连续通过,煤炭氧化所生成热量的速度大于散热的速度,上述3个条件同时存在的时间大于煤炭最短自然发火期等等.根据对煤炭自燃机理的研究,将防治技术措施按其作用机理可分为减漏风供氧、吸热降温和既能隔氧又能降温等3类.对防治煤炭自燃以及选择有效而可靠的技术措施具有积极的指导意义.     

Comprehensive evaluation on self-ignition risks of coal stockpiles using fuzzy AHP approaches

Self-ignition in coal stockpiles is a serious economic, environmental and safety problem. Evaluation is an effective way to identify the self-ignition hazards in implicit environment of coal piles and provides a guide for countermeasures against spontaneous combustion in coal piles. In this paper, a comprehensive evaluation system is proposed. The trapezoidal and the triangular extent fuzzy AHP methods are employed to handle the imprecision and uncertainty of the effects of factors. A coal stockpile stored at the Bulk Cargo Logistics of Tianjin Port of China and three coal piles in the Teruel basins of Spain are studied to demonstrate the validity of the index system and the effectiveness of fuzzy AHP approaches. The evaluated results indicate that the proposed evaluation system and approaches are valid and objective for evaluating self-ignition risks of coal stockpiles; compared with the trapezoidal fuzzy AHP method, the triangular extent fuzzy AHP approach is more effective to evaluate self-ignition risks of coal piles for the priorities of factors impacting self-ignition risks are highlighted by their weight comparisons' calculation using the triangular extent analysis. The comprehensive evaluation system is beneficial to manage self-ignition risks of coal piles from a holistic point of view and to establish an early warming system of self-ignition risks of coal piles.     

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。     

A numerical model to simulate smouldering fires in bulk materials and dust deposits

A numerical model is presented which consists of a set of partial differential equations for the transport of heat and mass fractions of eight chemical species to describe the onset of self-ignition and the propagation of smouldering fires in deposits of bulk materials or dust accumulations. The chemical reaction sub-model includes solid fuel decomposition and the combustion of char, carbon monoxide and hydrogen.The model has been validated against lab-scale self-ignition and smouldering propagation experiments and then applied to predictions of fire scenarios in a lignite coal silo. Predicted reaction temperatures of 550 K and propagation velocities of the smouldering front of about 6 mm/h are in good agreement with experimental values derived from lab-scale experiments.     

A study on the influence of liquid water and water vapour on the self-ignition of lignite coal-experiments and numerical simulations

The current paper presents experimental investigations as well as numerical simulations on the influence of water and humidity on the self-ignition of combustible bulk materials.It is well known, that bulk materials may undergo self-ignition if stored under specific conditions. In some cases, large amounts of these materials are exposed to a humid surrounding, e.g. dried coal in a moist atmosphere. Due to the effects of condensation and adsorption of water, additional heat is generated and transported into the bulk material. If the pile is stored slightly below its self-ignition temperature, the bulk material can become supercritical and an ignition occurs.Experiments were carried out for German lignite coal sampled in two different particle size fractions. They showed, that subcritical deposits turned to supercritical behaviour if the relative humidity in the surrounding was suddenly increased or water was poured on the surface of the sample. Besides the experiments, a numerical model was established to describe the effects of self-heating until ignition of the deposit, including the transportation of moisture. Simulations with this model led to satisfying results when compared to the experiments.     

基于BP神经网络的煤与瓦斯突出预测系统开发

煤与瓦斯突出影响因素多,难以为其建立合适的多指标非线性预测模型,为提高突出预测的准确性和增强预测预报方法的实用性,采用改进的BP算法建立煤与瓦斯突出预测数学模型。通过研究不同算法的突出预测效果,对已建模型的泛化能力进行检验,利用Matlab GUI和神经网络工具箱设计开发煤与瓦斯突出预测系统,通过向系统输入已知的突出样本数据,经过学习、训练,实现对未知参数的预测。仿真结果表明:网络在训练300次后,误差训练曲线的均方差(MSE)可以达到10-15,实际预测误差也小于0.1,系统得到的5组数据预测结果与实际情况相符。     

Influence of inert materials on the self-ignition of flammable dusts

Flammable solid bulk materials, including dusts, often undergo spontaneous combustion and the spread of reaction fronts. By addition of inert substances, the ignition and combustion behavior can be influenced. In a series of experiments different types of coal were mixed with inert powders to study the effect of the composition on the self-ignition temperature and on the formal kinetic parameters.Hot storage tests as well as simultaneous-thermal analysis were used as experimental techniques with the latter being coupled to FTIR measurements to analyze the composition of gaseous reaction products.All conducted hot storage experiments led to the conclusion that the self-ignition temperature was increased by admixing inert material if the decomposition temperature of the inert matter was higher than the self-ignition temperature of the combustible component at the sample characteristic length. If (exothermic) decomposition of the inert material occurred before a noticeable growth of reaction rate of the combustible material, even a reduction in the self-ignition temperature could be observed. In addition, significantly higher maximum reaction temperatures were observed for the mixtures than for the combustible material alone.