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Machine learning algorithms have been widely used in mine fault diagnosis. The correct selection of the suitable algorithms is the key factor that affects the fault diagnosis. However, the impact of machine learning algorithms on the prediction performance of mine fault diagnosis models has not been fully evaluated. In this study, the windage alteration faults (WAFs) diagnosis models, which are based on K-nearest neighbor algorithm (KNN), multi-layer perceptron (MLP), support vector machine (SVM), and decision tree (DT), are constructed. Furthermore, the applicability of these four algorithms in the WAFs diagnosis is explored by a T-type ventilation network simulation experiment and the field empirical application research of Jinchuan No. 2 mine. The accuracy of the fault location diagnosis for the four models in both networks was 100%. In the simulation experiment, the mean absolute percentage error (MAPE) between the predicted values and the real values of the fault volume of the four models was 0.59%, 97.26%, 123.61%, and 8.78%, respectively. The MAPE for the field empirical application was 3.94%, 52.40%, 25.25%, and 7.15%, respectively. The results of the comprehensive evaluation of the fault location and fault volume diagnosis tests showed that the KNN model is the most suitable algorithm for the WAFs diagnosis, whereas the prediction performance of the DT model was the second-best. This study realizes the intelligent diagnosis of WAFs, and provides technical support for the realization of intelligent ventilation. 相似文献
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针对某金矿,在回收金银的基础上,对金银浮选尾矿进行云母和长石浮选,以及提纯石英试验,最终获得SiO2品位99.91%的石英产品。提纯石英产品与比利时矽比科矿业有限公司石英产品进行对比试验,通过化学成分、粒度组成、熔制、粘度和热膨胀系数测试对比试验,得出金矿提纯石英达到甚至超过矽比科进口石英产品的各项技术指标。 相似文献
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A mathematical model for open pit mine production scheduling with Grade Engineering® and stockpiling
《矿业科学技术学报(英文版)》2021,31(4):717-728
This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable (i.e. high-grade) and undesirable (i.e. low-grade or uneconomic) materials and ensure the delivery of only selected quantity of high quality (or high-grade) material to energy, water, and cost-intensive processing plant. The model maximizes the net present value under a range of operational and processing constraints. Given that the proposed model is computationally complex, the authors employ a data pre-processing procedure and then evaluate the performance of the model at several practical instances using computation time, optimality gap, and the net present value as valid measures. In addition, a comparison of the proposed and traditional (without Grade Engineering) models reflects that the proposed model outperforms the traditional formulation. 相似文献
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The economic relationship between China and Myanmar is regarded as a win–win cooperation. However, Chinese investments, especially in extractive and natural resource sectors, are associated with a number of unwanted environmental consequences. Moreover, the environmental impact assessment (EIA) quality of Chinese enterprises has often been criticized. EIA identifies adverse impacts to the environment through evidence-based decision making. On this basis, this paper provides an evaluation of Chinese EIA performance within the natural resources sector through a structured review of 15 environmental impact statements (EISs). This research also evaluates the EISs of the three largest and most controversial projects, the Myitsone Hydropower Dam, Lappadaung Copper Mine and Sino-Myanmar oil and gas pipelines. The findings reveal several omissions, inadequacies and deficiencies in all the projects with a significant number of EISs falling short of satisfactory quality. Through the analysis, the paper summarizes the factors affecting the EIA performance and proposes feasible recommendations to improve EIA practices in Chinese development projects in Myanmar. 相似文献
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煤层气成藏条件研究是有效划分成藏类型或含气系统,煤层气富集高渗有利区预测、评价及优选的关键基础工作。基于赵庄井田煤层气地质条件及相关测试资料,借鉴前人研究成果,从煤生烃、煤层气储集和煤层气封盖保存条件等方面对赵庄井田煤层气成藏条件进行了研究。研究结果表明:煤中丰富的生烃物质在良好的生烃动力作用下,提高了生烃率和生烃量,为煤层气成藏提供了基础条件;煤变质程度高,促使煤中微小孔隙发育,煤层气储集能力增强和储集空间增大,有利于煤层气大量储存和富集;煤层埋深、围岩特性、构造及地下水径流等地质条件的有机匹配,为煤层气成藏提供了良好的封盖保存条件,是煤层气成藏的关键因素。 相似文献
7.
煤储层物性及特征是煤层气地质理论的重要内容,加强其研究对提高煤层气勘探开发成效至关重要。基于天荣矿地质、煤层气勘探及相关测试等资料,采用地质与煤层气地质理论对该矿二2煤储层物性及特征进行了研究。结果表明:天荣矿二2煤层物理性质良好,生烃物质丰富;煤层含煤性、稳定性、可采性好,煤层气含量和纯度高,可为煤层气开发提供良好对象和气源条件;煤变质程度高,煤中裂隙相对发育,但其渗透性整体较差,渗透率分异显著且普遍低下;煤储层能量较强且分异显著,煤储层压力状态为欠压—超压型,并以正常—超压煤储层压力状态为主,有利于煤层气高产富集。 相似文献
8.
在对沁水盆地赵庄矿煤层气开发地质、煤层气生产井资料深入研究的基础上,分析、总结了区内煤层气直井低产原因,并据此提出了区内地面抽采后续开发方向。研究认为:3号煤层气含量偏低、含气饱和度低、临储比低,致使排采阶段气含量可降幅度低,是其低产的宏观表征;3号煤储层不匹配孔级,较差连通性,即微、小孔为主,中孔次之,大孔不发育,微裂隙连通性差,致使扩散缓慢、影响储层改造和抽采效果,是其低产的微观表征;3号煤层远高于顶底板塑性及相近的水平应力,进一步造成改造缝长受限,泄流面积不足。因此,建议区内后续地面抽采方式应以增大泄流面积开发方式为主。 相似文献
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由于小青煤矿北二采区顶板含水砂岩较为发育,给安全生产造成了隐患,为保证矿井安全生产,通过对顶板砂岩沉积、岩性和地质构造等因素进行研究,分析了4煤层顶板含水砂岩的富水性。该项研究对类似条件下其他矿井水害防治工作具有一定的参考价值。 相似文献