Back-and-forth mining for hard and thick coal seams—research about the mining technology for fully mechanized caving working face of Datong Mine

The article introduced the key technology, mining process, and back-and-forth mining method for the caving working face of hard-thick coal seams in Datong mine, and researched this innovations process, optimized the systemic design and working face out-play, tried to perfect the caving mining technology of hard-thick coal seams further.

Ground pressure and overlying strata structure for a repeated mining face of residual coal after room and pillar mining

To investigate the abnormal ground pressures and roof control problem in fully mechanized repeated mining of residual coal after room and pillar mining,the roof fracture structural model and mechanical model were developed using numerical simulation and theoretical analysis.The roof fracture characteristics of a repeated mining face were revealed and the ground pressure law and roof supporting conditions of the repeated mining face were obtained.The results indicate that when the repeated mining face passes the residual pillars,the sudden instability causes fracturing in the main roof above the old goaf and forms an extra-large rock block above the mining face.A relatively stable ‘‘Voussoir beam" structure is formed after the advance fracturing of the main roof.When the repeated mining face passes the old goaf,as the large rock block revolves and touches gangue,the rock block will break secondarily under overburden rock loads.An example calculation was performed involving an integrated mine in Shanxi province,results showed that minimum working resistance values of support determined to be reasonable were respectively 11,412 kN and 10,743 kN when repeated mining face passed through residual pillar and goaf.On-site ground pressure monitoring results indicated that the mechanical model and support resistance calculation were reasonable.

The main projects and development status of noise forecasting and controlling on working face in coal mine

Noise from the machine on coal working face seriously influenced the miners' physical and mental health, and also, due to the noise, there may be a major hidden danger in safety from accidents as all safety warning signals may be masked by the noise. This paper summarized the features of mine environmental noise on working face, such as the variety of noise sources, the continuity of high intensity and slow attenuation in narrow space, etc.The main projects about noise forecasting and controlling on working face was emphatically expounded;the development status about mines machinery noise mechanism and environmental noise acoustic characteristics of space-time of these main research topics were also introduced.

Waste-filling in fully-mechanized coal mining and its application

A fully-mechanized coal mining (FMCM) technology capable of filling up the goaf with wastes (including solid wastes) is described. Industrial tests have proved that by using this technology not only can waste be re-used but also coal resources can be exploited with a higher recovery rate without removing buildings located over the working faces. Two special devices, a hydraulic support and a scraper conveyor, run side-by-side on the same working face to simultaneously realize mining and filling. These are described in detail. The tests allow analysis of rock pressure and ground subsidence when backfilling techniques are employed. These values are compared to those from mining without using backfilling techniques, under the same geological conditions. The concept of equivalent mining height is proposed based on theoretical analysis of rock pressure and ground subsidence. The upper limits of the rock pressure and ground subsidence can be estimated in backfilling mining using this concept along with traditional engineering formulae.

Analysis and key control technologies to prevent spontaneous coal combustion occurring at a fully mechanized caving face with large obliquity in deep mines

In order to prevent spontaneous coal combustion occurring at a fully mechanized caving face with large obliquity in deep mines in China,we have analyzed the characteristics of spontaneous coal combustion and explain theoretically the factors affecting spontaneous coal combustion,such as rock bursts,high temperatures,high ventilation resistance,slow advancing speed and large obliquity mining.Key technologies to prevent spontaneous combustion occurring in sharply inclined seams in deep mines are proposed;these include pouring water,stopping leakage in upper and lower corners of the working face,choking off the goaf and covering the coal.CO concentrations were controlled within two years to less than 15×10-6 at the upper corner by applying these technologies at the 1410 working face of the Huafeng coal mine.Our method has significant theoretical value and is of practical importance in controlling spontaneous coal combustion occurring at a fully mechanized caving face with large obliquity in deep mines.

Mechanical behaviors of coal measures and ground control technologies for China's deep coal mines-A review

This paper reviews the major achievements in terms of mechanical behaviors of coal measures,mining stress distribution characteristics and ground control in China’s deep underground coal mining.The three main aspects of this review are coal measure mechanics,mining disturbance mechanics,and rock support mechanics.Previous studies related to these three topics are reviewed,including the geo-mechanical properties of coal measures,distribution and evolution characteristics of mining-induced stresses,evolution characteristics of mining-induced structures,and principles and technologies of ground control in both deep roadways and longwall faces.A discussion is made to explain the structural and mechanical properties of coal measures in China’s deep coal mining practices,the types and dis-tribution characteristics of in situ stresses in underground coal mines,and the distribution of mining-induced stress that forms under different geological and engineering conditions.The theory of pre-tensioned rock bolting has been proved to be suitable for ground control of deep underground coal roadways.The use of combined ground control technology(e.g.ground support,rock mass modification,and destressing)has been demonstrated to be an effective measure for rock control of deep roadways.The developed hydraulic shields for 1000 m deep ultra-long working face can effectively improve the stability of surrounding rocks and mining efficiency in the longwall face.The ground control challenges in deep underground coal mines in China are discussed,and further research is recommended in terms of theory and technology for ground control in deep roadways and longwall faces.

Analysis and control of hydraulic support stability in fully-mechanized longwall face to the dip with great mining height

The working condition of the hydraulic support in working face can be divided into three kinds of situations in the following: roof fall and collapse with cavity,advancing support and supporting.Took single support with four-pole in longwall face to the dip as research object,control method was studied to avoid support instability in three situations mentioned above.Based on these researches,the major factors of influencing on support stability and its controlling measures were put forward.According to specific conditions of working face 1215(3),which is fully-mechanized and Iongwall face to the dip with great mining height in Zhangji Coal Mine,Huainan Mining Group,the effective measures was taken to control supports stability.

基于差分非平稳Transformer的液压支架立柱压力预测

液压支架立柱压力预测是回采工艺决策的重要依据,也是确保围岩稳定的基础信息之一。然而,液压支架立柱压力虽然具有一定的规律性,却无法用简单的数学模型进行预测;且在回采过程中,支架不接顶、顶板破碎、传感器检测误差等带来大量的随机噪声,使得压力数据劣化为非平稳时间序列,给压力的预测带来的很大的困难。本文在Transformer基础上,提出一种差分非平稳Transformer模型,在Transformer的编码器和解码器中分别引入差分归一化和反归一化操作,以提升序列的平稳性。同时,在Transformer中采用去平稳注意力机制,计算序列元素之间的关联关系,以增强模型的预测能力。在真实的煤矿支架立柱数据集上的对比实验表明,本文提出的差分非平稳Transformer的预测效果达到0.674,表现明显优于LSTM、Transformer和非平稳Transformer模型。

基于残差优化的综采工作面煤壁点云补全方法

煤矿综采工作面巷道的数字化三维重建过程中需要完整且密集的煤壁点云数据。受遮挡、视角限制等因素影响,采集的综采工作面煤壁点云数据往往不完整且稀疏,影响下游任务,需进行煤壁点云修复和补全。目前缺少针对井下点云补全任务的数据集和网络模型,现有模型用于煤壁点云补全时存在点云密度分布不均匀、点云特征信息丢失等情况。针对上述问题,设计了一种基于残差优化的煤壁点云补全网络模型,采用监督学习方式学习点云特征信息,通过最小化密度采样和残差网络迭代优化输出完整点云。采集煤矿井下真实综采工作面煤壁点云数据,预处理后筛选可用数据,通过模拟随机空洞制作煤壁点云缺失数据集,并用缺失数据集训练基于残差优化的煤壁点云补全网络模型。实验结果表明:与经典的FoldingNet,TopNet,AtlasNet,PCN,3D-Capsule点云补全网络模型相比,基于残差优化的煤壁点云补全网络模型针对构造的缺失煤壁点云和稀疏煤壁点云补全的倒角距离、地移距离及F1分数均能达到最优水平,整体补全效果最佳;针对实际缺失的煤壁点云,该模型能够实现有效补全。

煤矿井下非均匀照度图像去噪研究

煤矿综采工作面空间小、照明环境复杂多变,采煤过程中伴随着大量的粉尘、大雾,导致采集的图像出现曝光、细节特征减弱等问题,难以对井下照明区域光照强度过大的图像进行有效的特征提取。针对上述问题,提出了一种煤矿井下非均匀照度图像去噪算法。首先,将视频截取为图像,判断图像是否需要进行光照抑制,将需要进行光照抑制的RGB图像拆分通道,并计算每个通道的光照调节因子,实现图像的整体光照调节;然后,将未进行整体光照抑制的图像和经整体光照抑制的图像进行反射分量提取,即将输入的图像转换为HSV空间图像,使用单尺度Retinex(SSR)算法对V通道图像中的光照分量进行单独处理,将V分量中的入射分量去除,保留反射分量,并对反射分量使用直方图均衡算法实现光照均衡化处理;最后,使用基于引导滤波的暗通道先验算法对经过光照处理后的图像进行去雾处理,并使用伽马校正函数重新调节亮度不均的图像。主观评价结果表明:提出的煤矿井下非均匀照度图像去噪算法有效抑制了因光照导致整体亮度较高的问题,且由于大雾、粉尘等因素导致图像模糊的部分更加清晰,图像的细节特征更加突出。采用信息熵、均值、标准差、空间频率4种评价指标对提出的算法效果进行客观评价,结果表明,提出的算法在信息熵、均值、标准差、空间频率上较多尺度Retinex(MSR)算法分别平均提升了21.87%,-56.06%,153.43%,294.45%,较基于颜色保持的多尺度视网膜增强(MSRCP)算法分别平均提升了1.18%,-39.56%,33.29%,-4.71%,较带色彩恢复的多尺度视网膜增强(MSRCR)算法分别平均提升了38.06%,-55.27%,462.10%,300.96%,说明提出的算法能更有效地增加图像信息量、抑制光照强度、提升边缘信息及图像清晰度。

特厚煤层工作面煤厚变化电磁波透视响应特征

目的为掌握煤厚变化对特厚煤层工作面电磁波透视探测的影响,以准确圈定地质异常区,保障工作面安全高效生产。方法根据煤层工作面地质条件,利用三维仿真软件,对煤厚变化进行了电磁波透视数值模拟,并结合工作面探查实例进行了分析。结果0~20m煤厚范围,随煤厚减小,电磁波透视场强值呈抛物线下降趋势,可分为缓慢降低(煤厚≥9m)、明显降低(9m>煤厚≥5m)和快速降低(煤厚<5m)3个范围。煤厚10m以上的工作面适合于依据相对煤层变薄程度和变薄区煤厚来分析透视电磁波响应:变薄程度>1/3正常煤厚且煤厚<8m的薄煤区有明显响应,变薄区煤厚越小,透视电磁波场强降低越显著。煤厚10m以下的工作面,可以仅依据相对煤层变薄程度分析透视电磁波响应:变薄程度>1/4正常煤厚的薄煤区有明显响应,变薄程度越大,透视电磁波场强降低越显著。陕西金源招贤矿业有限公司特厚煤层1304工作面探测实例表明:正常煤厚变化及薄煤区的电磁波响应特征与数值模拟结果一致;工作面物探圈定的落差1m以上断层及薄煤区范围,与实际揭露范围相吻合。结论利用煤厚变化电磁波响应特征能够可靠地探查特厚煤层工作面地质异常区范围。

刮板输送机技术发展历程(一)——国外技术

刮板输送机是井下采煤工作面的“脊梁”装备,它经历了6次技术变革,持续推动采煤工艺变革及生产效率持续提升。刮板输送机第1次技术变革发生于1900-1940年,诞生了可拆卸刮板输送机,煤矿开启半机械化开采时代;第2次技术变革产生于1940-1950年,创制了可弯曲刮板输送机,煤矿进入机械化开采时代;第3次技术变革形成于1950-1985年,创设了可自移刮板输送机,煤矿跨入综合机械化开采时代;第4次技术变革出现在1985-2000年,已发展成为重型化刮板输送机,煤矿走向高产高效综采时代;第5次技术变革形成于2000-2010年,研发出自动化刮板输送机,煤矿迈向数字化综采时代;第6次技术变革始于2010年,创新推出智能化刮板输送机,煤矿开启少人化智采时代。英国和德国为刮板输送机初创做出巨大贡献,研制出多种早期的刮板输送机机型。苏联对刮板输送机的系列化,以及对机械化采煤机的配套起到重要的创新推动作用。在此基础上,1954年,英国把安德顿滚筒采煤机与垛式支架、可弯曲刮板输送机组合为综合机械化采煤机组,建成世界上第一个综采工作面。21世纪以来,世界煤炭开采的重心逐步转向我国,国外刮板输送机研发与制造影响力逐年衰减,我国逐渐成为刮板输送机的制造强国。

冲击地压煤层矿井间临近工作面相互采动影响分析

为了对冲击地压煤层矿井间临近工作面相互采动影响进行分析,以义桥煤矿3309工作面和唐阳煤矿432工作面为研究背景,采用数值模拟的研究方法,从巷道侧垂直应力和覆岩垂直位移两个方面研究了两工作面相互采动的影响。当两工作面开采时,3309工作面运输顺槽侧的应力增大了26.0%~28.0%,顶板位移增大了7.3%~10.1%,432工作面运输顺槽侧的应力增大了31.8%~48.8%,顶板位移增大了12.8%~19.2%。通过上述分析可以得出冲击地压煤层矿井间临近工作面相互采动时,对工作面应力集中分布及顶板运移规律均具有明显的影响。并在采取相应卸压措施的基础上,提出3条关于影响较大区域防冲补强措施的建议,以降低两工作面相互采动影响,确保工作面安全生产。

综放工作面煤矸识别技术及其应用

综放工作面煤矸识别技术作为智能放煤开采的关键技术,已经成为煤炭智能开采领域的技术难题。首先介绍了综放工作面煤矸识别技术的重要性及其对生产安全和经济效益的影响。随后,指出了该技术目前存在的问题和挑战,如难以识别不同形状、颜色和深度的煤块和岩层;识别过程中噪声和复杂背景的影响等。详细阐述了综放工作面煤矸识别技术的主要方法如射线法、视觉法和振动与声音信号法。通过对煤矸识别方法的原理、技术特点和优缺点等方面进行分析,全面评估了当前综放工作面煤矸识别技术的应用现状以及各种方法的适用条件和存在的问题。最后,探讨了该技术的未来发展趋势,强调了多传感器融合、深度学习和智能决策与实时监测作为当前技术发展的主要方向。

大采高工作面柔模沿空留墙掘巷技术

柔模混凝土沿空留巷技术已应用多年,在中厚煤层和薄煤层开采下均取得了较好的支护效果,但在厚煤层大采高工作面,因巷道高、巷旁支护压力大、混凝土早期强度低易受压损坏难以有效支撑顶板。大采高工作面矿压显现剧烈,巷旁维护难度大,故此提出一种新型的预浇墙柔模混凝土沿空留墙掘巷新技术,即在上工作面回采前,刷煤扩帮后提前预浇柔模混凝土墙体,提高煤帮整体支撑力的同时,解决柔模混凝土墙短期无法有效承载顶板来压的难题;待回采一定距离后,再沿墙滞后掘进下工作面回采巷道,且掘进方向与上工作面回采方向一致,缓解接续紧张,最终实现无煤柱开采。以王庄煤业3503工作面回采留设预浇墙为工程背景,建立了沿空留墙掘巷围岩结构力学模型,理论计算得出墙体力学支护参数,并通过现场应用验证了该技术的可实施性。结果表明:理论计算分析确定了墙体高宽比为5 m×1.5 m,混凝土强度C30即可满足留墙支护要求;沿墙掘进巷道总体变形量小,顶底板和两帮最大移近量仅为260 mm和125 mm,墙体最大受压18 MPa,小于墙体自身承载力;下工作面临近巷道掘进115 m后即趋于稳定。该技术应用全阶段效果良好,满足巷道使用要求,有效解决了大采高工作面沿空留巷重大技术难题,也可为相似工况无煤柱开采提供技术借鉴。

两次采动影响下小煤柱巷道切顶卸压围岩控制技术

为解决多次采动影响下留小煤柱巷道矿压显现剧烈、围岩变形量大的问题,提出了“切顶卸压+顶、帮锚索补强”联合控制技术。以贾家沟煤矿10115运输巷为工程背景,分析了切顶卸压位置、高度与巷道围岩垂直应力分布的关系,给出切顶卸压关键参数,并研究了留小煤柱巷道在切顶卸压后受两次采动影响下的矿压显现规律。结果表明:切顶卸压后,煤柱上的应力峰值随切顶深度的增加呈指数降低;10115运输巷在邻近工作面一次采动过程中巷道围岩变形依次呈现出无变形、缓慢变形、快速变形和围岩稳定的变化规律,本工作面二次采动过程中巷道围岩变形依次呈现出明显变形和剧烈变形的规律;巷道围岩在受二次采动影响时变形更加剧烈,巷道变形量为一次采动时的3.0~7.5倍。

基于MES−YOLOv5s的综采工作面大块煤检测算法

综采工作面的目标具有高速运动、多尺度、遮挡等特点,现有的目标检测算法存在精度低、模型占用的内存大、硬件依赖强等问题。针对上述问题,提出了一种基于MES−YOLOv5s的综采工作面大块煤检测算法。采用轻量化设计,将MobileNetV3作为主干网络,以减小模型占用的内存,提高CPU端的检测速度;在颈部网络添加高效多尺度注意力(EMA)模块,融合不同尺度的上下文信息,并进一步减少计算开销;采用SIoU损失函数代替CIoU损失函数,以提高训练速度和推理准确性。消融实验结果表明:MobileNetV3大幅减少了模型占用的内存和检测时间,但mAP损失严重;EMA模块和SIoU损失函数可在一定程度上恢复损失的精度,同时保证模型在CPU上具有较高的检测速度,满足煤矿井下目标实时检测需求。对比实验结果表明,与DETR,YOLOv5n,YOLOv5s,YOLOv7模型相比,MES−YOLOv5s模型综合性能最好,mAP为84.6%,模型占用的内存为11.2 MiB,在CPU端的检测时间为31.8 ms,在高速运动、多尺度、遮挡和多目标的工况环境下能够保持较高的召回率和精度。

基于OpenGL的三维地质建模及资源量估算

OpenGL是用于渲染2D、3D矢量图形的跨语言、跨平台的应用程序编程接口,常用于CAD、虚拟现实、科学可视化程序和电子游戏开发,可以与Visual C++紧密接口,便于实现机械手的有关计算和图形算法,可保证算法的正确性和可靠性,尤其是矿产资源估算中具有良好的应用效果。本文以Python软件平台为基础,以某内蒙古鄂尔多斯上湾煤矿为例,根据已有的煤矿煤层数据资料建立煤层三维地质数学模型,对综采面煤炭储量数据进行估算,并将矿井综采面实际掘进回采数据做为对照组,数据表明,该方法的较传统块段法更准确可靠。

坚硬顶板切顶卸压技术对巷道围岩变形规律影响

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