Feasibility of monitoring a mine fan by using interaction of vibrator system

The impeller of turbo machinery is a typical nonlinear multi-oscillator system.The vibration of each module is coupling, including fluid-solid coupling of the blade.The subject of our investigation was a KDF-5 mine fan for which we analyzed air vibration signals and axial vibration signals by using correlation dimension analysis under five variable working conditions.The results indicate that their correlation dimension curves show a uniform trend.That is to say, the characteristics of the variation signals of the integral structure are correlated and mutually embodied.It proves that it is possible to monitor the working state of a mine fan by coupling the vibration signals and air vibration signals for these are more sensitive in representing the status of the impeller system.

Development of testing techniques for mine fan performance

Three progressive stages of testing techniques are elaborated,which are en-tirely manual operating,taking separate instruments testing and computer program con-trolling.The testing method and principle are detailed based on the testing process formeteorological parameters,air pressure,air quality and rotating velocity.And every testingtechnique is analyzed.Finally, the technique outlook is viewed.All this plays a leading rolein development of the testing techniques.

Stress-strain State and Vibration Frequencies of Blades of the Main Mine Fan Impeller

The paper discusses geometrical characteristics and strength parameters of fan blades equipped with replaceable active part it end ended to improve the fan adjustability owing to replacement or removal of the active part, which allows the fan to maintain a wide range of ventilation modes.

Stability of multiple fans in mine ventilation networks

In large mines,single fan is usually not enough to ventilate all the working areas.Single mine-fan approach cannot be directly applied to multiple-fan networks because the present of multiple pressures and air quantities associated with each fan in the network.Accordingly,each fan in a multiple-fan system has its own mine characteristic curve,or a subsystem curve.Under some consideration,the conventional concept of a mine characteristic curve of a single-fan system can be directly extended to that of a particular fan within a multiple-fan system.In this paper the mutual effect of the fans on each other and their effect on the stability of the ventilation network were investigated by Hardy Cross algorithm combined with a switching-parameters technique.To show the validity and reliability of this algorithm,the stability of the ventilation system of Abu-Tartur Mine(one of the largest underground mine in Egypt)has been studied.

基于Ansys workbench煤矿风机主轴有限元分析

煤矿风机在煤矿生产工作中起着重要的作用,风机主轴是风机的核心零件。针对风机主轴受到径向载荷和轴向载荷的影响是否会导致主轴损坏的问题,依据现实煤矿生产环境和条件,构建轴流式煤矿风机模型,对风机主轴进行静力学分析,根据主轴静力学分析中出现的主轴应力集中现象提出解决方案。对风机主轴进行优化设计,重新进行静力学分析,消除应力集中现象。采用模态分析法对风机主轴的强度性能和刚度性能进行检测,最后通过搭建试验平台对仿真结果进行验证。结果表明,当风机机主轴径向与轴向同时增加载荷时,风机主轴在工作过程中可安全可靠的运行。

基于变频调速技术的矿山通风机优化控制研究

针对矿山通风机系统能耗高、控制精度差等问题,提出一种融合变频调速技术的优化控制方法。通过模块化设计控制系统,集成PID控制、模糊控制等算法,并在某煤矿主通风机上开展实验验证。结果表明,优化控制方案可使系统能耗降低21.8%,效率提高10.4个百分点,风量稳定性提升60.4%,响应速度加快66%。该研究为矿山通风机节能增效提供了新思路和技术支撑。

矿井通风机智能化管控技术研究

矿井通风是煤矿安全生产的关键环节。矿井智能化控制系统的建设是矿井智能化发展的关键,在此基础上,构建了智能监控系统,实现了对风机运行参数、通风参数及有毒有害气体浓度的实时采集与分析。同时,还根据瓦斯传感器、风筒风量传感器等对风机进行了智能变频调风。应用实例表明,该系统能够有效提高矿井的生产效率,降低生产成本,对其他类似矿井的通风工作具有一定的借鉴意义。

煤矿通风机在线监控系统关键技术研究

针对煤矿通风机监测手段落后、系统功能单一及实时性差等问题,对通风机无人值守技术进行了研究,提出了一种基于PLC(Programmable Logic Controller,可编程逻辑控制器)及工业以太网的煤矿通风机在线监控方案,并对系统关键技术进行了详细分析。系统通过应用以PLC监控和工业以太网为核心的高速通信网络,实现了监控室到风机运行现场的数据交互与远程在线监控,还具备故障预警诊断功能,有效提高了通风机智能化监测水平。

矿井主通风机监测和健康状态评估系统分析

为进一步实现对矿井主通风机的有效监测,以及对其健康状态的有效评估,结合矿井监测工作的实际需要,首先对该系统的硬件部分进行了选型设计,明确了相关器件的参数;其次对该系统的软件部分进行设计,以支持各个功能模块的有效运行。最后,在软硬件部分均设计完成后,对该系统的实际应用情况予以测试。测试结果表明,该系统能够在实现预期功能的基础上,提供较为准确的数据,预计其在今后的矿井通风安全保障工作中具有潜在的应用价值。

Evaluating the impact of auxiliary fan practices on localised subsurface ventilation

Mines are continually expanding in size and depth,leading to an increased reliance on localised subsurface ventilation systems.The use of underground auxiliary fans is a favoured method to increase and control airflow in working areas.However,the effectiveness of auxiliary fans in this regard is not clear.This paper evaluated the performance of these underground fan systems in four different South African deeplevel gold mines.A total auxiliary fan system efficiency of 5%was found across six systems,with the average fan efficiency of 33 fans at 38%.The results showed that these fans deviate significantly from their design operating points.Therefore,there are significant shortcomings in current underground fan practices.Our detailed investigations led to the conclusion that the assemblage of underground auxiliary fan systems results in significant energy inefficiencies.Therefore,maintaining good underground fan practice such as optimal fan selection,ducting design and maintenance is crucial for the efficacy of a mine ventilation network.

Use of booster fans in underground coal mining to advantage

A booster fan is an underground main fan which is installed in series with a main surface fan and used to boost the air pressure of the ventilation to overcome mine resistance.Currently booster fans are used in several major coal mining countries including the United Kingdom,Australia,Poland and China.In the United States booster fans are prohibited in coal mines although they are used in several metal and non-metal mines.A study has been undertaken to examine alternatives for ventilating an underground room and pillar coal mine system.A feasibility study of a hypothetical situation has shown that current ventilation facilities are incapable of fulfilling mine air requirements in the future due to increased seam methane levels.A current ventilation network model has been prepared and projected to a mine five years plan."Ventsim visual" software simulations of different possible ventilation options have been conducted in which varying methane levels are found at working faces.The software can also undertake financial simulations and project present value total costs for the options under study.Several scenarios for improving the ventilation situation such as improving main surface fans,adding intake shafts,adding exhaust shafts and utilizing booster fans have been examined.After taking into account the total capital and operating costs for the five years mine plan the booster fan scenarios are recommended as being the best alternatives for further serious consideration by the mine.The optimum option is a properly sized and installed booster fan system that can be used to create safe work conditions,maintain adequate air quantity with lowest cost,generate a reduction in energy consumption and decrease mine system air leakage.

基于遗传算法与Hardy-Cross方法的矿井通风机控制

针对矿井通风机系统控制的复杂问题,提出了一种遗传算法与Hardy-Cross方法相结合的矿井通风控制,强化了其在处理离散变量和非凸搜索空间中寻找全局最优解的能力。通过数学形式化定义问题并结合基尔霍夫定律,确立了通风机网络的优化模型。根据实际用风情况智能调节通风机的供风量,以实现能源节约和安全生产的目标。通过对某煤矿的通风案例深入研究和验证,风扇的配置在优化气流方面表现出了卓越性能。该研究不仅为矿山工程领域提供了新的优化思路和方法,也为通风机系统的管理提供了重要参考。

基于迁移学习的矿用主扇风机滚动轴承故障诊断方法

矿用主扇风机滚动轴承的状态监测与故障诊断研究对煤矿生产安全具有重要意义。现有的滚动轴承故障诊断方法在实际工况中进行直接应用时存在训练不足、故障诊断准确率不足的问题,且矿用主扇风机滚动轴承长期处于正常运行状态,正常样本的数量远多于故障样本,即存在样本不平衡问题。因此,提出一种基于迁移学习的矿用主扇风机滚动轴承故障诊断方法(TLCNN+加权交叉熵损失)。该方法将常规滚动轴承数据作为源域数据,将矿用主扇风机滚动轴承数据作为目标域数据。首先利用对称极坐标(SDP)方法将振动信号转换为SDP图像;然后利用充足的源域图像样本对常规滚动轴承故障诊断模型进行训练,训练完成后将诊断模型的参数迁移至矿用主扇风机滚动轴承故障诊断模型中;其次迁移过程中对低层网络进行锁定并通过目标域图像样本对模型的高层网络进行微调,便可得到参数权重优化后的矿用主扇风机滚动轴承故障诊断模型。最后,为了解决样本不平衡问题,在模型中添加了加权交叉熵损失函数进行训练,使诊断模型对作为少数类的故障样本赋予更高的权重并在诊断过程中更加关注故障样本,从而提高诊断准确率。为了验证提出方法的有效性,通过常规滚动轴承故障试验台与实际工况中的矿用主扇风机滚动轴承数据进行了试验验证。结果表明所提方法可以对矿用主扇风机滚动轴承的运行状态进行准确识别分类,准确率达99.28%。

煤矿筒仓局部通风机节能降噪技术研究

近年来,随着技术的发展以及人们对绿色、低碳生产理念的追求,通过技术手段实现筒仓局部通风机的节能降噪成为研究热点。优化筒仓通风机的设计,减少能源浪费和环境污染,不仅可以提高煤矿的经济效益,还可以为矿工提供一个更为舒适和安全的工作环境。主要探讨了局部通风机的工作原理,同时针对其实际运行中存在的高能耗和噪声问题,探讨了变频技术、优化设计和采用节能材料等节能技术,以及采用吸声材料、采用隔音罩和动平衡技术等降噪技术,旨在为煤矿筒仓局部通风机节能降噪改造提供一定的思路。

通风系统改造优化及应用

随着煤矿开采作业持续进行,采区风量需求大幅提高,为保障矿井生产安全稳定,需对通风系统进行改造优化。以山西省某煤矿为实例,分析计算矿井风量与阻力,针对主风机选型、布设等提出优化改造方案,最终通过实践证明优化效果显著。

矿山多级机站通风系统风机优化选型方法

为了确定多级机站风机的最优不平衡风压分配方式,提出了一种以通风风机功率最小、最佳匹配风机风量和最佳匹配风机风压为目标的多级机站风机优选多目标优化模型,可用于确定各装机点所需的优选风机型号及风机安装角度。该模型既获得了近似满足风量要求的优选方案,也避免了非线性模型求解不收敛的问题,并在大规模多级机站通风系统中表现出高效的求解能力。此外,提出的多风机优选方法通过数学模型构建各级机站之间的相互约束关系,在风机工况范围内约束各装机点的不平衡风压,以解决各级机站风机风压合理分配的问题,避免因风机风压分配不合理导致风机选型失败。实例验证结果表明本研究的多级机站通风系统风机选型方案是可靠的。

基于PLC的矿井通风机变频集控系统的设计与研究

针对煤矿通风系统主通风机传统起动与运行方式存在的起动电流较大、运行效率与可靠性低、设备运行能耗大等问题,采用PLC控制及变频调速控制技术对主通风机控制系统进行改造设计。系统以双冗余PLC为控制核心、变频器为调速装置,通过建立由工业以太网组成的通信网络完成井上井下互联互通,实现对主通风机远程集中监控、电机变频调速及输出风量自适调节等智能化功能。在实际应用中,系统可有效改善井下瓦斯浓度及稳定风量,实现节能降耗。

地下矿扇形中深孔装药设计模型研究与应用

为解决地下矿扇形中深孔装药设计过程中人机交互设计存在的主观性大、炮孔装药能量无法均匀分布和装药效果难以定量评估等问题,提出了一种地下矿扇形中深孔装药设计数学模型。总体思路为:结合爆破边界空间约束和爆破参数要求,运用参数化装药设计思想构建地下矿扇形中深孔装药设计数学模型,采用运筹学方法解算数学模型得到最优化装药设计。研究成果在数字采矿软件平台中开发实现,并将构建的装药优化模型用于某地下矿扇形中深孔装药设计。试验结果表明,相似地质条件和装药条件下,2次爆破试验中,采用参数化装药设计现场出矿大块率明显低于人机交互式装药设计,装药设计时间极大地缩短,从4 h减少至5 min。地下矿扇形中深孔装药设计优化方法极大地减少了设计技术人员工作量,最大程度地保障了炮孔间装药能量分布均匀性,有效提高了爆破质量。

煤矿主通风机智能运维管理系统开发与应用

由于煤矿主通风机部件及配件都要进行定点、定期检查,来发现设备的特殊现象与隐患,及时掌握设备故障的初期信息,并基于知识图谱和专家经验进行故障诊断和辅助决策。因此,本文基于煤矿在设备管理方面的先进经验,研究了主通风机状态检修、优化检修与设备全生命周期管理相结合的设备管理方法,开发了相应的运维管理软件,以期提高设备的可靠性和安全性,降低运维成本。

煤矿主通风机不停风倒机控制技术研究

针对煤矿通风系统主备风机传统倒机方式供风稳定性与连续性差、备用风机启动失败率高、存在通风失稳风险等问题,研究了煤矿主通风机稳风倒机技术,从煤矿通风系统大滞后、非线性特点的角度出发,提出了一种基于粒子群优化的模糊PID不停风倒机控制方案,并设计了相应系统。该系统通过优化算法自适应调节风门开合角度,可有效缩短倒机时间,提高备用风机启动成功率,实现倒机过程井下通风不中断,确保通风系统全过程安全稳定运行。