一种基于抽取LMS的距离旁瓣抑制方法

在噪声雷达中，传统相关处理方法的距离旁瓣受到时宽带宽积的限制，在有限相关处理时间内得到的距离旁瓣较高，会造成微弱目标被强目标、杂波旁瓣淹没的现象。提出一种基于抽取最小均方（Least Mean Square,LMS）滤波的噪声雷达旁瓣抑制方法，将LMS滤波器的系数作为距离压缩结果，从而获取较低的距离旁瓣。对该方法的性能进行了理论分析，并通过数字仿真验证了算法的有效性和理论分析的正确性。     

基于双时间点检测的毫米波雷达人流量监测方法

针对现有基于视频监控的人流量统计方案成本高、算法复杂且不利于个人隐私保护的局限性，利用毫米波雷达体积小、成本低、分辨率高的特点，提出了一种基于双时间点检测的人流量监测方法。该方法先获取人体目标散射点位置和多普勒频移信息来构成点云数据，然后根据多普勒频移正负来判断人体的运动方向，并筛选具有高多普勒频移值的点云数据以降低干扰点对聚类结果的影响；在双时间点对特定区域内人员数量进行统计，并根据双时间点之间所获取的点云数据聚类结果对所统计人员数据进行修正。实验结果表明，该方法能够用匿名的方式以较高的正确率统计人员进出。     

2种灰色模型在矿区地表沉陷预计中的适用性

目前矿区地表单点沉陷动态预计方法主要基于传统的水准测量数据,监测方法单一,成本高,观测点易破坏,不能保证地表形变信息的实时性,且采用灰色模型进行地表沉陷预计时只针对单一模型的应用,没有结合模型自身特点分析其适用性。以袁店二矿7221工作面为试验区域,采用合成孔径雷达差分干涉测量技术监测矿区地表沉陷量,分别建立了描述沉陷量与时间关系的GM(1,1)与灰色Verhulst模型进行地表沉陷量预计,实现了矿区地表沉陷监测与动态预计一体化。通过比较、分析GM(1,1)与灰色Verhulst模型对地表沉陷量的拟合及预计结果,得出了2种灰色模型在矿区地表沉陷预计中的适用性:在矿区开采沉陷开始至活跃前期,若地表单点沉陷量曲线呈近似单峰型,则宜采用GM(1,1)进行短期预计;当矿区地表沉陷进入衰退阶段,单点沉陷量曲线呈平底饱和状态,则宜采用灰色Verhulst模型进行中长期预计。     

大口径光学元件装夹转运结构设计及分析

为了实现大口径光学元件的安全装夹、转运,通过光学元件开槽与不开槽两种装夹方式的分析,得出开槽夹紧转运方式将带来微裂纹、应力集中、成本高等缺陷,提出了利用摩擦力克服光学零件的重力和惯性力的低应力装夹转运方案。通过对光学元件低应力夹紧结构设计,并利用有限元分析方法,得到不开槽装夹方式下,光学元件的最大主应力为1.11 MPa,最大切应力为0.73 MPa,远低于光学元件破坏的强度极限,且受力均匀,无应力集中现象。     

高效液相色谱法测定熟肉制品中8种合成着色剂

目的建立高效液相色谱法同时快速测定熟肉制品中8种合成着色剂的检测方法。方法称取粉碎后的样品于离心管中,加入碱性乙醇溶液提取合成着色剂,用硫酸溶液和钨酸钠溶液去除蛋白,滤液经浓缩后定容。样液过滤后经Agilent C18(5μm, 250 mm×4.6 mm)色谱柱分离,,流动相为0.02 mol/L NH4Ac(pH 6.86)和甲醇,流速为1.0mL/min,柱温40℃。采用二极管阵列检测器在254nm波长处进行检测,外标法定量。结果该方法在0.5～10.0 mg/kg线性范围内(靛蓝为1.0～20.0 mg/kg)线性良好,相关系数均大于0.990,检出限为0.1～1.0μg/kg,平均回收率为80.8%～104.7%,相对标准偏差为4.29%～4.87%。结论该方法操作简单、灵敏度高、重复性好,满足同时检测熟肉制品中8种合成着色剂的要求。     

Anatase/rutile-TiO2 hollow hierarchical architecture modified by SnO2 toward efficient lithium storage

Hierarchical architecture of anatase/rutile-mixed phases TiO₂ with hollow interior was successfully fabricated via a Topotactic synthetic method, including the synthesis of CaTiO₃ precursors and transforming them into TiO₂ through ion-exchange process. The as-synthesized TiO₂ hierarchical architectures as the anode materials were used as lithium-ion batteries (LIBs). Compared with TiO₂ samples, the TiO₂@SnO₂-5% shows the improved lithium storage capacity, cycling performance and rate properties. The impedance of the TiO₂ electrode decreases evidently after adding few amount of SnO₂. The hollow hierarchical structure with different compositions provide much more active sites, and well connect interface among anatase, rutile, and SnO₂, facilitating the electron and ion transport quickly and efficiently. Addition appropriate number of SnO₂ not only well kept the hierarchical architecture but also enhanced the capacity and conductivity of the TiO₂ sample. As a result, TiO₂@SnO₂-5% exhibited excellent lithium storage performance.     

基于改进雷达图的配电系统电能质量评估方法

本文针对配电系统电能质量综合评估存在的评估指标权重分配过于主观或客观的问题,提出一种基于改进雷达图法的配电系统电能质量评估方法。该方法利用最小偏差组合权重法计算各评估指标的最优组合权重。并在传统雷达图的基础上对各指标轴间夹角值的确定和特征向量的选取两方面做了进一步的改进。首先采用扇形区域取代原始的三角形区域,并利用最小偏差组合权重法计算各指标轴间夹角值。其次选择新的特征向量构造评估函数对配电系统电能质量进行综合评估。最后通过对某钢铁厂棒材变电站10kV配电系统电能质量进行综合评估,验证了该方法的可行性和合理性。较传统雷达图而言,改进雷达图法解决了传统雷达图法中各指标间信息共用以及评估结果不唯一的问题,使评估结果更加准确合理。     

Syngas Methanation over Spray‐Granulated Ni/Al2O3 Catalyst in a Laboratory Transport‐Bed Reactor

Syngas methanation in a laboratory transport‐bed reactor has been performed. It was found that the CO conversion over the granular Ni/Al₂O₃ catalyst only slightly increased with the rise of aeration gas velocity for the recycling valve but severely decreased due to decreased gas residence time in the reactor. The effect of increasing the temperature of the recycled catalyst on the CO conversion at atmospheric pressure was also studied. Both the experimental temperature rise along the transport‐bed reactor and the estimated heat balance involving reactions verified the high heat‐transfer efficiency and its technical superiority for syngas methanation.     

Potential of plasmonic microreactor for Photothermal hydrogen-enriched fuel production from biomethane

In the present article, a series of coupled computational physics - fluid dynamics models were developed aiming at assessing the feasibility of photothermal synthetic fuel production from biogas (biomethane) and steam blends using plasmonic nanostructure Ag/TiO₂ substrate (each, 0.1 μm in thickness) inside a thermal, momentum and mass transport boundary layer in a microreactor. A chain of partial and complete biogas reforming and water-gas shift reactions were modelled as the dominant chemical reactions responsible for synthetic fuel production from biomethane. Using equilibrium analysis, plausible thermodynamic operating conditions were identified and applied to the computational models. The effect of light wavelength (λ) on the reaction rate, chemical conversion extent, syngas quality, exergy partitioned in synthetic fuel, and composition of gas products were investigated. The results showed that the performance of the microreactor is wavelength-dependent. It was found that the highest production rate for the synthetic fuel was achieved at 580 nm < λ < 620 nm. Within the same wavelength range, the chemical conversion of biomethane to synthetic fuel reached 85% at steam to methane ratio of 3 and the synthetic fuel quality was >2.05, which is suitable for a Fischer-Tropsch process. It was also identified that the syngas quality of the synthetic fuel can be regulated by adjusting the wavelength of the light. The exposure time was also identified to be a critical parameter affecting the performance of the microreactor. For an exposure duration of up to 10 ns, high quality of synthetic fuel >2.05 can be achieved within the optimum wavelength range of 580 nm < λ < 620 nm.     

一种基于雷达图表示的数值型数据的CNN分类方法

卷积神经网络（convolutional neural networks， CNN）是一种广泛用于分析视觉图像的分类方法.由于数值数据存在着非线性、耦合性等复杂的空间关系，因此基于CNN的数值型数据的研究较少.本文的目的是找到一种可行的方法，将CNN的应用领域扩展到数值数据.于是提出了一种基于雷达图表示的数值型数据的CNN分类方法（Radar-CNN）.该算法首先将数值数据表示成雷达图形式，然后将其输入CNN中构建分类模型.为了进一步研究特征尺度和序列对性能的影响，提出了两种改进算法Rank Radar-CNN和SFS Radar-CNN.为了验证所提算法的有效性，引入TE化工过程数据集进行实验测试并比较，实验结果表明Radar-CNN及其改进算法具有优异的性能.