通过晶种胶作导向剂的凝胶预陈化路线合成多级孔道FAU/α-Al2O3整体材料

以整体型α-Al2O3为载体，晶种胶作导向剂，通过凝胶预陈化路线合成了多级孔道FAU整体材料。对合成的样品进行了FT-IR、XRD、SEM和N2吸附脱附表征。根据实验结果确定了晶种胶、凝胶预处理及预陈化步骤的作用，同时提出了不同路线生成氧化铝复合物可能的合成机理。结果发现：负载的FAU沸石的粒径、形状及数量可通过改变晶化凝胶的组成，并且α-Al2O3载体的结构没有明显改变。具有简单、可重现且易将三重孔道结构融于成型的整体材料中的特点，通过晶种胶预处理的凝胶预陈化路线可加强载体内表面与沸石间的界面作用，形成纯相FAU晶体沉积在α-Al2O3载体骨架表面的形貌。另外，该方法可为其他的多级孔道沸石的合成提供思路。                                  

基于改进词嵌入表示和卷积神经网络的银行智能派单系统的研究

银行智能派单系统的实现和功能完善,对银行提升客户满意度、提高突发事件处理效率、降低人工处理成本等非常重要。针对现有的基于Word2vec和TextCNN模型的银行智能派单系统进行了改进,针对特征词权重表达性弱,特征词类别及位置区分性弱等问题,提出基于改进TF-IDF加权的Word2vec词嵌入表示和卷积神经网络结合的银行智能派单系统:首先利用Word2vec模型得到输入事件单的词嵌入向量;再针对经典TF-IDF方法不具备类别区分性、位置区分性,也没有考虑极端频率特征词代表性的情况,提出改进型TF-IDF算法,计算每个特征词的权重,得到基于改进TF-IDF加权的Word2vec词嵌入表示;最后在卷积神经网络模型中进行训练,通过迭代训练最终得到分类器,利用分类器可对输入事件单信息自动进行系统类别的判断。实验结果表明改进词嵌入表示的银行智能派单系统分类模型的宏查准率、宏查全率、准确率以及宏F1值都得到进一步的提高。     

在线超低温预浓缩-全二维气相色谱-飞行时间质谱联用系统在大气挥发性有机物监测中的应用

采用自主研制的在线超低温预浓缩设备，连续在线采集大气样品或者连续采集苏玛罐离线样品，对样品进行超低温捕集浓缩和二次超低温冷冻聚焦，采用全二维气相色谱-飞行时间质谱联用技术分离检测浓缩后的挥发性有机物，实现对大气中C2~C12共100多种挥发性有机物的浓缩富集和定性定量分析。本研究对该方法的线性、重复性、加标回收率、检出限等性能进行表征，并与常规一维气相色谱-四极杆质谱联用系统的定性定量结果进行比较。结果表明，该方法不仅满足大气中挥发性有机物检测的性能指标要求，且组分定性定量的准确性、灵敏度等指标均优于一维气相色谱-四极杆质谱联用技术，在挥发性有机物成分较复杂的大气样品检测中具有明显优势。     

Study of traffic characteristics based on internet web real-time traffic conditions by image identification technology

With the rapid development of Internet, it is increasingly convenient to obtain real-time traffic condition information, which has greatly stimulated the improvement of urban traffic guidance. Traffic conditions are generally divided into four grades in the existing network platform, which are expressed in different colours. The understanding of traffic condition is still at the level of abstract senses. Therefore, it is difficult to grasp the characteristics of urban traffic. To this end, a new idea is proposed in this paper, and the new idea is to study the urban traffic characteristics based on real-time traffic condition information extraction with image identification technology. With this method, we can not only quantify the abstract traffic condition information, but also solve the loss of traffic condition information. In addition, an instance is analysed in this paper, it shows that it can provide references for urban traffic organization management very well.     

基于多尺度CSRBFs的地层三维地质建模

基于矿山多源数据实现地层三维地质建模是数字矿山研究中的一项重要工作，其成果有助于矿山资源评估、生产规划编制等工作的有序进行。采用插值方法对离散采样的非均匀点状数据进行处理，是精准构建矿体模型的关键。然而，矿体建模常用的插值方法在处理数据时，很少有效顾及数据的非均匀性。基于多尺度CSRBFs插值方法，提出了一种可以处理非均匀数据的地层三维建模技术。首先从多源数据中提取非均匀的地质离散点数据集。然后，使用多尺度CSRBFs插值构建地层表面模型，插值步骤包括：①样品点获取与单位法向量计算；②通过八叉树空间索引构建层次点集；③使用多尺度CSRBFs方法在样品点集上由粗到细逐层插值，计算地层表面隐式函数；④地层隐式曲面可视化。最后，使用提出的断层建模方法在连续地层表面构建正断层、逆断层和交叉断层模型。研究表明：多尺度CSRBFs（Multi-scale CSRBF， MsCSRBF）插值方法通过十折交叉验证获得的平均误差为0.943 m，精度优于反距离加权法（Inverse Distance Weighted， IDW）和普通克里金法（Ordinary Kriging， OK），且MsCSRBF方法相比于IDW和OK方法插值运算效率更高。上述分析表明：多尺度CSRBFs差值方法能够针对非均匀数据进行地层表面模型的高精度、快速重建。     

Effect of porosity and crack on the thermoelectric properties of expanded graphite/carbon fiber reinforced cement-based composites

Cement-based composites is a promising type of structural material, which has prospective applications in relieving the urban heat island effect in summer and melted snow with low energy consumption. However, the major drawbacks of cement-based composites are heterogeneity, porosity, and brittleness. Porosity and microcrack have considerable influence on the thermoelectric of cement-based composites applied in large-scale concrete structures in future. This paper studied in detail the effect of porosity and crack on thermoelectric properties of the cement-based composite. The proper pores and cracks in the cement matrix are advantageous to enhance the Seebeck effect, but meanwhile it also reduces the electrical conductivity. So combined with Seebeck effect, electrical conductivity and other factors, it can obtain a comparatively low electrical conductivity (0.063S cm⁻¹) of expanded graphite/carbon fiber reinforced cement-based composites (EG-CFRC), but EG-CFRC manifests the maximum thermoelectric figure of merit (ZT) has reached 2.22 × 10⁻⁷ when the porosity is 3.90%. With different porosity, the Seebeck effect of prepared EG-CFRC was strengthened when the crack existed. The effect is most pronounced by a factor of 2 when the porosity is 28.90%. Therefore, based on stabilizing the conductivity, the crack is fittingly made to have a good effect on the Seebeck coefficient.     

基于EDEM和Fluent的废电路板颗粒气流静电分选仿真研究

为了提高废电路板破碎料的分选效率,选用铜颗粒和玻璃颗粒作为研究对象,利用静电气流复合分选技术在EDEM和Fluent耦合仿真下寻求最佳的分选参数。并在Fluent中添加风,对风速进行优化。结果表明:施加在两极板上的库仑力在±1.7×10~5nC之间时,粒径为3mm的颗粒综合分选效率最优,在此基础上,当风速达到35m/s时,综合分选效率都优于静电分选效率。     

A novel methodology for evaluating wear behavior of rubber composites under combination of sliding and rolling conditions

The wear behavior of tire tread rubber composites has attracted widespread attention of researcher duo to its serious environmental pollution and high frequency of occurrence for a long time. Herein, a new test method is developed, an improved Akron friction testing machine on a laboratory scale was utilized to estimate the wear loss and mechanism of the rubber composites under rolling and sliding coupling condition. The results indicated that the wear loss quickly increases with the increase of the relative sliding velocity. The main wear mechanism, including adhesive, thermofatigue, tear and curl wear, was governed by the thermal deposition of the worn surface. Scanning electron microscope analysis showed thermal decomposition tear region gradually expanded on the worn surface by increasing relative sliding velocity. The heat distribution numerical analysis supported the experimental results, which confirmed that the heat distribution of the worn surface is entirely consistent with the distribution of the thermal decomposition tear region.     

新冠肺炎疫情对上海经济社会发展的影响机制与应对策略

新型冠状病毒肺炎(以下简称新冠肺炎)疫情对上海经济社会发展造成了诸多影响,上海正在深入学习贯彻习近平总书记系列重要讲话精神,坚定推进"两手抓、两手硬、两手赢"。通过电话咨询部分企业家、查阅媒体相关文献、对比SARS疫情、政策分析等方式,研究认为新冠肺炎疫情对上海经济发展的影响可以从"短期-中期-长期"的时间序列进行分析,而对社会发展影响则可从"个人-社区-城市-社会"空间序列进行探讨,在影响机制的基础上还提出了相应的对策建议。