变电站不锈钢金属膨胀节泄漏原因分析

从化学成分、断口电镜扫描、X射线能谱和金相试验等方面,分析了沧州供电公司某变电站电流互感器不锈钢膨胀节泄漏的原因,认为泄漏是不锈钢膨胀节外表面点状电化学腐蚀所致,而该膨胀节表面状态的不连续性,周围潮湿的空气介质及空气介质中富含S、Cl等元素,是造成膨胀节外表面点状电化学腐蚀的主要原因。     

辽河油田超稠油三元复合吞吐影响因素研究

针对辽河油田曙一区超稠油井吞吐轮次高、吞吐效果逐渐变差的特点,提出了超稠油三元复合吞吐采油工艺技术。通过11管人造岩心物理模拟驱替实验,开展了超稠油三元复合吞吐影响因素研究。实验结果表明：水蒸汽注入量、CO2注入量及表面活性剂使用质量分数对工艺效果均有影响。其研究结果对优化超稠油三元复合吞吐施工工艺及施工参数有重要的指导意义。     

基于改进超图的变电站自动化系统关键要素识别

泛在电力物联网是我国电网发展的最新方向,从特征来看,其作为信息流与电力流高度耦合的复杂系统——信息物理系统,从关键节点识别的角度开展安全防范研究至关重要.以变电站自动化系统为研究对象,提出了一种基于改进超图的变电站自动化系统关键要素识别方法.讨论变电站自动化系统逻辑拓扑图中各类中心性指标,从中选择适用于逻辑结构分析的两...     

一种基于平衡变压器的单相/三相供电方法

提出了一种新的基于Y/＞/D型平衡变压器的单相变三相供电方法.其原理是将单相电源分成并联的两条支路:一条直接接入平衡变压器一次侧α相,另一条经变流器移相成与之正交的β相,使其符合平衡变压器两相变三相的平衡变换条件,从而在二次侧获得三相对称电压.与单相变三相变流器相比,在同等负载条件下,该方法的变流器部分只需承受总负载的一半,因而更经济.最后,仿真实验证明了该方法的可行性和实用性.     

Carreau两段黏度模型应用于苯乙烯-丁二烯-苯乙烯嵌段共聚物/高岭土改性沥青的研究

采用流变学方法研究了苯乙烯-丁二烯-苯乙烯嵌段共聚物(SBS)/高岭土改性沥青的流变性能,并用Carreau两段黏度模型对流变性能进行了模拟.结果表明,在实验温度范围内,基质沥青为简单牛顿流体,SBS改性沥青为非牛顿流体;SBS改性沥青存在着2个剪切变稀区域,且星形SBS改性沥青较线型SBS改性沥青的2个剪切变稀区域更为明显,随着SBS用量的增加,剪切变稀越明显.在低频区,Carreau两段黏度模型模拟曲线与实验曲线重合;随着SBS含量的增加或加入高岭土,第一时间参数值增大,高岭土与SBS的预先共混促使SBS在改性沥青中的表观份数有所增加.     

ScienceWord+PagePlayer模式电子教案设计与实现——《多面体和棱柱》课题教案制作

随着教学办公自动化的发展,针对"Word+PowerPoint模式"电子教案模式中的一些不足,应用ScienceWord和PagePlayer设计制作的电子教案不仅能够方便制作出各种几何图形,还能快速制作出各种教学需要的特效文字,实现更简便高效的电子教案制作。     

基于RS和GIS的生态环境监测评估应用系统

通用遥感影像处理软件侧重于遥感数据的预处理,用于实现旱涝等生态环境监测评估功能时操作复杂。为简化生态环境监测评估的工作流程,该文结合RS, GIS和GPS技术,以监测评估模块为核心,研发了基于RS和GIS的生态环境监测评估系统。用该系统对广西2005年6月的特大洪涝灾害进行了动态监测和评估,取得了较好的监测效果。     

Evaluating MODIS data for mapping wildlife habitat distribution

Habitat distribution models have a long history in ecological research. With the development of geospatial information technology, including remote sensing, these models are now applied to an ever-increasing number of species, particularly those located in areas in which it is logistically difficult to collect habitat data in the field. Many habitat studies have used data acquired by multi-spectral sensor systems such as the Landsat Thematic Mapper (TM), due mostly to their availability and relatively high spatial resolution (30 m/pixel). The use of data collected by other sensor systems with lower spatial resolutions but high frequency of acquisitions has largely been neglected, due to the perception that such low spatial resolution data are too coarse for habitat mapping. In this study we compare two models using data from different satellite sensor systems for mapping the spatial distribution of giant panda habitat in Wolong Nature Reserve, China. The first one is a four-category scheme model based on combining forest cover (derived from a digital land cover classification of Landsat TM imagery acquired in June, 2001) with information on elevation and slope (derived from a digital elevation model obtained from topographic maps of the study area). The second model is based on the Ecological Niche Factor Analysis (ENFA) of a time series of weekly composites of WDRVI (Wide Dynamic Range Vegetation Index) images derived from MODIS (Moderate Resolution Imaging Spectroradiometer – 250 m/pixel) for 2001. A series of field plots was established in the reserve during the summer–autumn months of 2001–2003. The locations of the plots with panda feces were used to calibrate the ENFA model and to validate the results of both models. Results showed that the model using the seasonal variability of MODIS-WDRVI had a similar prediction success to that using Landsat TM and digital elevation model data, albeit having a coarser spatial resolution. This suggests that the phenological characterization of the land surface provides an appropriate environmental predictor for giant panda habitat mapping. Therefore, the information contained in remotely sensed data acquired with low spatial resolution but high frequency of acquisitions has considerable potential for mapping the habitat distribution of wildlife species.     

无线局域网的构建

随着无线网络技术的日趋成熟,无线网络的应用越来越广泛,详细地介绍了无线局域网的几种标准,无线网络构建的六种方案,以及在无线网络中常见的几种安全问题的解决方案。     

基于爱因斯坦t-模的模糊联想记忆的学习算法

为神经网络提供有效学习算法是神经网络研究的关键问题。文章利用t-模的伴随蕴涵算子,为基于Max和Tes合成的模糊联想记忆网络Max-TesFAM提供了一种新的学习算法,此处Tes是由爱因斯坦提出的一种t-模算子。从理论上严格证明了,只要Max-TesFAM能完整可靠地存储所给的多个模式对,则该新的学习算法一定能找到使得网络能完整可靠存储这些模式对的所有连接权矩阵的最大者。最后,用实验说明了所提出的学习算法的有效性。