基于BP神经网络的加药控制系统研究

浮选是最重要的选矿方法之一,煤矿浮选工艺自动加药控制问题是影响浮选效果的重要因素;传统加药控制主要是由加药工根据生产经验来控制,为了解决浮选精度低这一问题,文中提出采用BP神经网络作为加药控制系统加药量的预测模型,并采用动量项方法对其进行优化,通过仿真得出动量项法网络和测试样误差曲线,说明带动量项改进的神经网络更容易满足网络精度的要求,并且该方法能够有效地降低误差、减小浪费。     

Positive state‐bounding observer for positive interval continuous‐time systems with time delay

This paper is concerned with the problem of positive observer synthesis for positive systems with both interval parameter uncertainties and time delay. Conventional observers may no longer be applicable for such kind of systems due to the positivity constraint on the observers, and they only provide an estimate of the system state in an asymptotic way. A pair of positive observers with state‐bounding feature is proposed to estimate the state of positive systems at all times in this paper. A necessary and sufficient condition for the existence of desired observers is first established, and the observer matrices can be obtained easily through the solutions of a set of linear matrix inequalities (LMIs). Then, to reduce the error signal between the system state and its estimates, an iterative LMI algorithm is developed to compute the optimized state‐bounding observer matrices. Finally, a numerical example is presented to show the effectiveness and applicability of the theoretical results. Copyright © 2011 John Wiley & Sons, Ltd.     

金选别工艺的发展与深化

本文阐述了充分考虑矿石性质,探索出混合浮选的分步流程,恰当的施用多元扑收剂所产出的“协同效应”,稳定和强化选别工艺,收到提高选金技术指标的效果。     

美国大学教学评估及其对中国高等教育的启示

美国大学和学院，学生对教师教学进行有效性评估。不同大学对教学有不同要求和标准；美国学术界对教学评估体系利与弊展开过辩论，而学生和老师的背景特征可能引起偏见。美国学生对老师进行教学评估的体系，对中国高等教育教学可能有一定的他石意义，但是，评估体系的现实条件有差异，中国不应当照抄或照搬美国教学评估，尤其应该摒弃将教与学关系扭曲为买方和卖方关系的观念。取其精华而弃其糟粕，建立适应中国的教学评估体系才能提高高等教育质量。     

胍基阳离子捕收剂反浮选磷矿的性能与机理分析

为了研究磷矿反浮脱硅过程中,胍基阳离子磷矿捕收剂的作用机理,以N-椰油基-1,3-丙撑二胺、单氰胺、乙酸为原料制得一种阳离子表面活性剂,并用于傅里叶红外光谱仪表征,测试了该药剂与3种矿物作用前后的接触角、Zeta电位、红外光谱,进行了石英、白云石、胶磷矿的纯矿物浮选试验等。结果表明:该合成药剂属胍基阳离子表面活性剂,在广泛pH值范围内,对石英的捕收能力较强,对白云石次之,对胶磷矿较弱;在弱碱性下,对白云石捕收性能有所提高;相较白云石、胶磷矿,该药剂更易与石英产生吸附作用,使矿物表面呈现疏水性;接触角、Zeta电位、红外光谱测试结果说明与3种矿物的吸附主要是物理吸附。试验结果说明该胍基阳离子表面活性剂可以作为磷矿反浮脱硅捕收剂。     

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).     

磷石膏提质降杂实验研究

磷石膏的综合利用对保护环境、促进企业可持续健康发展具有重要意义,但是磷石膏中的磷、氟、二氧化硅等杂质影响其利用。针对云南磷石膏中二氧化硅含量高的问题,采用正浮选工艺开展了磷石膏提质降杂的实验研究。通过单因素条件实验获得了合适的工艺参数：浮选温度为15 ℃、矿浆pH为2、十二胺用量为300 g/t。在此条件下,进行了“一粗二精”的正浮选开路流程实验,获得了二水石膏（CaSO₄·2H₂O）质量分数为97.5%、二氧化硅质量分数为1.17%的精矿,所得精矿达到了GB/T 23456—2018《磷石膏》一级品指标的要求;二水石膏回收率为98.58%、二氧化硅去除率为92.23%。通过正浮选不仅成功实现了二水石膏和二氧化硅的有效分离,而且磷石膏中的水溶磷和水溶氟也得到了有效去除,从而提高了磷石膏的品质。     

某含铜尾矿粗砂工艺矿物学特征及选矿试验研究

为查找铜损失在尾矿中的原因并制定选矿回收工艺,对某低品位含铜尾矿粗砂进行了工艺矿物学分析和选矿试验研究。结果表明：含铜矿物主要是黄铜矿（CuFeS2）,嵌布粒度微细且呈浸染状分布,未能充分单体解离而损失在尾矿中。经过选矿优化试验确定粗尾砂可采用立式搅拌磨,使微细粒级铜矿物充分单体解离;然后,采用优先浮选工艺回收铜,闭路试验可获得Cu品位18.02%、Cu回收率41.05%的铜精矿。     

Collector matching in origin potential flotation

Through thermodynamic calculation and electrochemistry analysis~ taking the galena as example,the ba-sis for collector matching in origin potential flotation (OPF) was studied. The results of thermodynamic calculation show that the upper limit value of pH and flotation potential of diethyldithiocarbamate (DDTC) is higher than that of xanthogenate (KBX), which indicates that the collecting ability of DDTC for galena is better than that of KBX.The results of the interface capacitance analysis show that lead diethyldithiocarbamate (PbD2) is more steady than lead xanthogenate (Pb(BX)2) on the galena surface under the oxidation condition; the resistance analysis shows thatD2 (DDTC oxidizes into its dimmer) and dixanthogen (BX)2 will occur non-faradic desorption on the pyrite electrodesurface when the potentials are above 0.13 V and 0.2 V respectively. A synthetical criterion ΔE of collecting ability and selectivity was proposed. The results predicted by this criterion are confirmed through flotation experiments of ore.     

Progress in flotation de-silica

1　INTRODUCTIONBayer sprocessisatypicalmethodtoproducea luminumoxidefrombauxite .Forthediasporic baux ite ,theBayer sprocesscaneconomicallyproducealu minumoxideonlywhenthemassratioofAl2 O3toSiO2 >10 .However ,inChina ,thealuminumoxidewasmainlyproducedbyusing“sinteringprocess”or“in parallelBayer sinteringcombination process”technologiesbecausethediasporic bauxiteischarac terizedbyhighcontentofaluminumoxideandsilicabutlowAl2 O3/SiO2 (average 5 6 ) .Thesetwotech nologieshavetheproble…