FAST MEASUREMENT OF ASH CONTENT IN COAL WASHING PLANT

The coal filter cake is a product of fine coal after floatation which has an ash content of 7-13%, water content of 30±2%, and a particle size of less than 1 mm. The ash content was measured by the intensity of the single backscattered gamma-ray, and its accuracy is mainly dependent on the energy of the gamma-ray. The 238Pu low energy photon source is selected in this work. The energy of its gamma-ray is 15 keV, which can result not only in the best sensitivity, but also in the lowest contribution to the environment radiation. The root mean square deviation of the ash measurement is±0.33% (±1σ).     

龙滩碾压混凝土重力坝的设计特点

龙滩碾压混凝土重力坝工程量巨大,最大坝高初期建设时为192m,最终为216.5m,技术难度大。设计中针对碾压混凝土施工特点,从枢纽布置、坝体结构、混凝土配合比、温控、施工方案等方面进行了深入的研究,形成了有特色的设计方案,实现了碾压混凝土连续快速施工。     

大红山铜矿岩体结构调查分析

大量工程实践已证明岩体结构是控制岩体稳定性的重要影响因素。为此，以大红山铜矿为研究背景，在选定有代表性调查地段的基础上，引入详细观测线法对其岩体结构进行了详细调查与统计。分析结果表明：调查区域内巷道岩体节理裂隙比较密集和发育，主要发育有倾向N53E、走向N37W、倾角53°，倾向W26S、走向N36W、倾角68°；倾向E1S、走向NIE、倾角89°的三组优势结构面，其中优势结构面第二组和第三组构成不稳定块体，并且断层及软弱夹层比较发育，加剧了巷道的破碎程度，对巷道围岩的稳定性有控制作用。最后提出了在巷道施工中密切注意围岩稳定性变化，避免工程事故的发生的建议。     

变频器在链条炉系统中的应用

本文介绍了链条炉的定义，链条炉应用变频调速的意义，链条炉控制系统的原理，锅炉采用变频调速控制的优点，变频调速的控制方法和逻辑，链条炉采用变频调速装置的节能分析。     

CONDITIONING COAL GAS WITH REFRIGERATED METHANOL IN A SYSTEM OF PACKED COLUMNS

Experience with the operation of a pilot-scale unit is used to outline potential difficulties in the operation of acid gas removal systems on gases produced from coal. The pilot plant has been used to condition gases produced from subbituminous coal, devolatilized char, peat and lignite. The solvent used in the acid gas removal system has been refrigerated methyl alcohol. Data from this study document accumulation of hydrocarbons, sulfur and nitrogen compounds, and mercury in the circulating solvent.     

焦炉烘炉问题探讨

介绍了柳钢焦化厂6、7号焦炉烘炉中存在的问题及其改进措施。     

试论我国冶金矿山的装备水平

本文分析了我国冶金矿山装备水平的现状及存在的问题，对提高我国冶金矿山装备水平提出了建议。     

组合评价方法在煤矿安全风险评估中的应用

研究煤矿安全风险准确评估问题,煤矿生产的复杂性导致煤矿事故的动态性、模糊性和随机性,且影响煤矿安全风险等级指标多,指标与风险等级之间呈复杂的非线性关系,导致传统评估方法的准确率低。为了提高煤矿安全风险评估的准确率,提出一种组合的煤矿安全风险评估方法。首先构建出煤矿安全风险评估指标体系,然后采用层次分析法计算各评估指标权重,且采用模糊方法建立判断矩阵,最后将其输入到BP神经网络学习建立煤矿安全风险评估模型。利用具体数据对模型性能进行了验证性测试。实验结果表明,相比较于其它评价方法,组合评价方法提高了煤矿安全风险评估的准确率,是一种有效的煤矿安全风险评估方法。     

Coupling control on pillar stress concentration and surface cracks in shallow multi-seam mining

In order to ensure safe mining and reduce surface damage in shallow multi-seam mining, the failure characteristics of interburden strata with different coal pillars offset distances between pillars in the upper and lower seams, the distribution characteristics of stress concentration in coal pillars, and the development characteristics of stratum cracks and subsidence were investigated by physical and UDEC2 D simulation. Meanwhile, the effect of different coal pillar offset distances on stress concentration of coal pillar and development of stratum cracks were studied. Based on those results, a formula for safe mining and reducing surface damage was established, which provided a theoretical basis for safe and environmentally friendly mining in shallow multi-seam. According to the results, the optimal coal pillar offset distance(the side to side horizontal distance of the upper and lower coal pillars) between the upper and lower coal seams was developed to reduce the stress concentration of coal pillars and surface damage.The results of this study have been applied in Ningtiaota coal mine and have achieved good results in safe and environmentally friendly mining.     

Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development

Surprisingly, no investigation has been explored relationships between operating variables and metallurgical responses of coal column flotation (CF) circuits based on industrial databases for under operation plants. As a novel approach, this study implemented a conscious-lab “CL” for filling this gap. In this approach, for developing the CL dedicated to an industrial CF circuit, SHapley Additive exPlanations (SHAP) and extreme gradient boosting (XGBoost) were powerful unique machine learning systems for the first time considered. These explainable artificial intelligence models could effectively convert the dataset to a basis that improves human capabilities for better understanding, reasoning, and planning the unit. SHAP could provide precise multivariable correlation assessments between the CF dataset by using the Tabas Parvadeh coal plant (Kerman, Iran), and showed the importance of solid percentage and washing water on the metallurgical responses of the coal CF circuit. XGBoost could predict metallurgical responses (R-square > 0.88) based on operating variables that showed quite higher accuracy than typical modeling methods (Random Forest and support vector regression).