变压器内部故障在线检测方法仿真及误差分析

为研究变压器内部故障在线检测方法的有效性及抗干扰性,搭建实际变压器的非线性三维有限元模型.对变压器常见几种类型的内部故障进行详细的结构仿真,通过"场-路耦合法"构建各类型故障的ΔV-I1轨迹.同时,通过对正常绕组的测量信号设置一定的误差,构建了考虑测量误差时的误差轨迹.在此基础上,将正常时的标准轨迹、误差轨迹和各种类型的故障轨迹进行对比分析,通过对ΔV-I1轨迹特征差异的定性分析与定量计算,验证该方法在实际应用中的有效性,总结判断各类型故障的规则,同时针对测量误差所造成的干扰提出了建议.     

基于神经网络和遗传算法的锭子弹性管性能优化

为得到减振弹性管对下锭胆的支承弹性和锭子高速运动下的稳定性等性能的最优匹配效率,依据减振弹性管的等效抗弯刚度及底部等效刚度系数公式,利用MatLab数值分析软件构建弹性管抗弯刚度和底部挠度数学模型。首先,结合Isight优化软件基于径向基神经网络构建其近似模型,且使精度达到可接受水平,并以模型的关键结构参数弹性模量、螺距、槽宽、壁厚为设计变量,结合遗传算法对弹性管抗弯刚度和底部挠度进行多目标优化设计,得到Pareto最优解集和Pareto前沿图,确定出减振弹性管结构工艺参数的优化方案。通过对优化数据进行分析发现,该方案在保证减振弹性管弹性的同时,其底部振幅明显减弱。     

Regulation of sensory nerve conduction velocity of human bodies responding to annual temperature variations in natural environments

The extensive research interests in environmental temperature can be linked to human productivity / performance as well as comfort and health; while the mechanisms of physiological indices responding to temperature variations remain incompletely understood. This study adopted a physiological sensory nerve conduction velocity (SCV) as a temperature‐sensitive biomarker to explore the thermoregulatory mechanisms of human responding to annual temperatures. The measurements of subjects’ SCV (over 600 samples) were conducted in a naturally ventilated environment over all four seasons. The results showed a positive correlation between SCV and annual temperatures and a Boltzmann model was adopted to depict the S‐shaped trend of SCV with operative temperatures from 5°C to 40°C. The SCV increased linearly with operative temperatures from 14.28°C to 20.5°C and responded sensitively for 10.19°C‐24.59°C, while tended to be stable beyond that. The subjects’ thermal sensations were linearly related to SCV, elaborating the relation between human physiological regulations and subjective thermal perception variations. The findings reveal the body SCV regulatory characteristics in different operative temperature intervals, thereby giving a deeper insight into human autonomic thermoregulation and benefiting for built environment designs, meantime minimizing the temperature‐invoked risks to human health and well‐being.     

用于制备膨体颗粒调剖剂的含油污泥除油技术研究

利用含油污泥制备膨体颗粒调剖剂用于调剖堵水是一种新的污泥资源化技术，研究了含油污泥的预处理方法，尤其是除油技术。分别使用热水酸洗、热水酸洗／除油剂对污泥进行了除油试验，并以干泥含油率为指标考察了pH值、水与泥质量比、除油剂用量对除油效果的影响。试验结果表明，在水与泥质量比为2．0、pH值为6．0、45℃条件下，用矿化水热水酸洗可使干泥含油率从31．5％降至19．4％。同样条件下，除油剂用量为40．0mg／L时，热水酸洗／除油剂处理能使干泥含油率进一步降至11．2％。聚合试验结果表明，经热水酸洗／除油剂处理后的污泥能够聚合得到胶块强度高、膨胀倍数高的膨体颗粒调剖剂。     

Cu-Mg/Al_2O_3催化乙醇和乙二胺合成N-乙基乙二胺

在固定床反应器内,乙醇和乙二胺经分子间催化胺化反应合成了N-乙基乙二胺(NEED),考察了一系列铜系催化剂的活性,并筛选出催化性能较好的Cu-Mg/A l2O3催化剂;通过X射线衍射和透射扫描电子显微镜方法表征了助剂Mg对Cu/A l2O3催化剂的改性作用;考察了助催化剂Mg含量、反应温度、反应压力、进料量和乙二胺含量等对Cu-Mg/A l2O3催化剂性能的影响。实验结果表明,Cu-Mg/A l2O3催化剂具有很好的活性和选择性;在200℃、3.0MPa、质量分数20%的乙二胺乙醇溶液、进料量1.0mL/m in的条件下,乙二胺的转化率为71.56%,产物NEED的选择性和收率分别为92.62%和69.86%;经过20 d的连续使用表明,Cu-Mg/A l2O3催化剂具有良好的稳定性。     

基于数据挖掘的OLAP分析技术及应用

数据仓库和数据挖掘技术是目前信息技术研究的热点问题之一,介绍了数据挖掘(data mining)、数据仓库(datawarehouse)及联机分析处理(OLAP)技术。并以零售业决策支持系统为例,介绍了该系统的体系结构、数据仓库的设计、系统实现关键技术及各子系统功能,着重论述了如何利用OLAP技术实现企业决策支持系统。     

用JHS-3胶合砂防粉细砂

针对孤东油田大量油井出现粉细砂甚至粘土砂而严重影响生产的问题,研制了用JHS-3胶合砂防粉细砂方法。介绍了胶合砂的基本配方、主要技术指标及防砂机理。适应性分析结果表明,施工井的层数、处理半径和施工压力升幅3个因素直接影响着胶合砂的防砂堵水效果。现场20井次的应用情况可看出,胶合砂能有效地防住粉细砂和粘土砂,明显地改善产液剖面,并有显著的降水增油效果。     

硫酸铈和磷酸处理对铌酸表面酸度及催化活性的影响

用硫酸铈和磷酸对固体铌酸进行了表面处理。表面酸度和TG DTA测定结果表明 ,与未处理的固体铌酸相比 ,处理后表面强酸量提高 3～ 5倍 ,耐受温度由 30 0℃提高到 5 0 0～ 6 0 0℃。用于催化酯化合成二甘醇二苯甲酸酯增塑剂 ,处理后固体铌酸的催化活性和重复使用寿命有明显提高。     

An Interval Fuzzy Multiobjective Watershed Management Model for the Lake Qionghai Watershed, China

Integrated watershed management is required to ensure the reasonable use of resources and reconcile interactions among natural and human systems. In the present study, an interval fuzzy multiobjective programming (IFMOP) method was used to solve an integrated watershed management problem. Based on system analysis, an IFMOP model suitable for a lake watershed system {IFMOPLWS} was developed and applied to the Lake Qionghai watershed in China. Scenario analysis and an interactive approach were used in the solution process. In this manner, various system components were incorporated into one framework for holistic consideration and optimization. Integrality and uncertainty, as well as the multiobjective and dynamic characteristics of the watershed system, were well addressed. Using two scenarios, two planning schemes were generated. Agriculture, tourism, macroeconomics, cropland use, water supply, forest coverage, soil erosion, and water pollution were fully interpreted and compared to identify a preferable planning alternative for local agencies. This study showed that the IFMOPLWS is a powerful tool for integrated watershed management planning and can provide a solid base for sustainable watershed management.     

一种基于树形结构显示关联数据的设计

论述了在程序设计过程中 ,使用树形控件、SQL 语句、临时表等多种手段 ,达到多个关联数据库的数据由一个可视化树形结构控件显示的方法和技巧