基于智能磨矿介质及CNN和优化SVM模型的球磨机负荷识别方法

当前球磨机负荷检测方法难以准确评估磨机内部变化,给磨机综合运行状态的控制和优化带来较大难度。本文设计了一款内嵌加速度传感器且与钢球介质物理性质相一致的智能磨矿介质用于识别磨机负荷,开展了不同充填率等磨矿条件下的磨矿试验,设计磨矿效果系数划分磨机负荷状态;分别采用了卷积神经网络方法(CNN)和优化的支持向量机(SVM)模型对智能磨矿介质获取的加速度信号进行球磨机负荷识别。基于优化的SVM模型将获取的一维加速度信号进行互补集合经验模态分解算法（CEEMD）去噪、时域特征值和样本熵提取等预处理,将上述磨机负荷的特征向量分别输入GA?SVM、GS?SVM、PSO?SVM分类模型进行训练,研究表明,PSO?SVM模型的识别准确率可达98.33%,但存在训练过程繁琐,耗费时间长的问题。在图像识别领域具有优秀应用能力的CNN模型是把智能磨矿介质检测加速度信号数据转换为二维图片后直接输入基于VGG19网络的CNN模型进行分类识别,磨机负荷分类识别准确率高于优化的SVM模型,可达98.89%,在保证识别准确率的同时有效节约了计算时间。基于CNN的智能磨矿介质球磨机负荷识别方法可为实现球磨机负荷检测与在线评估提供重要解决方案与技术保障。      

邻菲罗啉-硫氰酸钾-水体系液固分离钴(Ⅱ)

当分析元素含量极低时,往往要求在测定之前辅以化学分离预富集手段以纯化富集待测物和除去干扰基体。实验利用邻菲罗啉和硫氰酸钾作为微痕量Co²⁺的络合剂,建立了一种液固体系分离富集微痕量Co²⁺的新方法。分别考察了邻菲罗啉溶液用量、硫氰酸钾溶液用量、酸度对分离效率的影响。结果表明,当体系中Co²⁺含量为100 μg时,控制体系pH=2~6,加入1.00 mL 1.5 g/L邻菲罗啉溶液、1.00 mL 0.1 mol/L硫氰酸钾溶液、1.00 mL 10 g/L EDTA溶液、1.00 mL 40 g/L硫脲溶液,震荡静置后,Co²⁺与邻菲罗啉、硫氰酸钾反应生成的离子缔合物定量沉淀到溶液底部,而Cd²⁺、Fe³⁺、Zn²⁺、Ni²⁺、Cu²⁺、Pb²⁺、Al³⁺、Ag⁺等离子仍留在水相中,从而实现了Co²⁺与这些离子的定量分离。方法成功用于合成水样中微痕量Co²⁺的定量分离,富集率在97.2%～98.6%之间。     

Control of NO x emissions from diesel engine by selective catalytic reduction (SCR) with urea

Topics in Catalysis - Among the catalysts screened, Cu-ion exchanged ZSM5 zeolite exhibited the highest NO removal activity, particularly at low reaction temperatures below 200 °C,...     

Modeling circulating fluidized bed biomass gasifiers. Results from a pseudo-rigorous 1-dimensional model for stationary state

Results from a 1-dimensional and semirigorous model for atmospheric and circulating fluidized bed biomass gasifiers (CFBBGs), presented in the (previous) paper by Corella and Sanz [J. Corella, A. Sanz, Modeling circulating fluidized bed biomass gasifiers. A pseudo-rigorous model for stationary state. Fuel Process. Technol. 86 (2005) 1021–1053], are shown here. Process variables predicted by the model are gas composition (H₂, CO, CO₂, CH₄, C₂H_n, H₂O and O₂ contents), gas yield, tar content in the flue gas and char concentration in the solids. Both axial profiles in the riser and values at the gasifier exit are calculated from the model and are shown here for some selected sets of process variables. Variables analyzed in depth are: total air flow (used as equivalence ratio, ER), percentage of secondary air flow, height (location) of the secondary air flow, biomass moisture and biomass flow rate, expressed as the biomass weight hourly space velocity in the gasifier. All the results from the model agree both with known published data and with some tests made to check the model.     

柱撑膨润土吸附水溶液中Cr6+的性能研究

研究了无机、有机和无机-有机柱撑膨润土对水中C r6 的吸附去除性能。结果表明:三种柱撑膨润土对C r6 的去除效果明显高于膨润土原土,当投土量为8 g/L时,对C r6 的吸附去除率分别为81.03%、95.41%和85.11%;三种柱撑膨润土对C r6 的吸附在60 m in达到平衡;溶液pH对C r6 的去除有一定的影响,在酸性条件下的去除率略大于中性和碱性;温度升高,C r6 的去除率略有下降。     

新型阻垢剂IA-SSS-MA聚合物的合成与表征

以衣康酸(IA)、苯乙烯磺酸钠(SSS)和马来酸酐(MA)为单体,以水为溶剂,过硫酸铵作引发剂,合成了衣康酸-苯乙烯磺酸钠-马来酸酐(IA-SSS-MA)三元聚合物阻垢剂,考察了单体配比、反应温度、引发剂量、滴加时间等对聚合物阻碳酸钙垢效果的影响,结果表明:当单体配比为IA∶SSS∶MA=5∶1∶0.25(摩尔比),反应温度100℃,引发剂量占单体总量13%,滴加时间为5 h,阻碳酸钙垢效果最好,阻垢率达到98.11%。     

Submerged membrane adsorption hybrid system (SMAHS): process control and optimization of operating parameters

This study is to investigate the effect of operating parameters of submerged membrane adsorption hybrid system (SMAHS) such as preadsorption and powdered activated carbon requirement, aeration, filtration flux; There is an optimum value for each of the operating parameters and they are specific to the wastewater used. The duration and frequency of backwashing are vital parameters for successful long-term operation of a membrane system. The backwash duration and frequency required to remove the reversible component of the foulant layer increased with time during the operation of membrane and is not fixed. A new methodology introduced in this study to decide the appropriate duration and frequency of backwash based transmembrane pressure during the membrane operation. This method led to significant saving on the amount of backwash water and energy requirement.     

Operations research in solid waste management: A survey of strategic and tactical issues

Solid waste management (SWM) is an increasingly complex task, absorbing a huge amount of resources and having a major environmental impact. Computerized systems based on operations research techniques can help decision makers to achieve remarkable cost savings as well as to improve waste recovery. Nevertheless, the literature is quite scattered and disorganized. The objective of this paper is to present an updated survey of the most relevant operations research literature on SWM, mainly focusing on strategic and tactical issues. In addition to providing an extensive bibliographic coverage, we describe the relationships between the various problems, and outline future research.