SOE系统输入卡件的设计

事件顺序记录,即SOE（Sequence of Events）系统可以正确、快速地确定事故故障,迅速处理事故,恢复系统的正常运行。SOE系统中输入卡件的设计,包括卡件的组成及软件模块的设计。产品测试表明,系统接收多点数据信息正确,能够及时准确的反映数据采集的实时数值,并提供报警信息。     

新疆科研投入现状及问题分析

本文基于新疆2001—2013年科学与实验研究投入数据的统计,并且对新疆与全国的科研经费、科研投入强度、科研产出等方面进行差异比较分析,发现新疆科研投入存在的不足和问题,最后在此基础上提出拓展经费融资渠道、加大政府科研投入力度、保护科研人员知识产权等相关政策建议。     

PE文件结构分析和构建

主要分析了PE文件的整体结构,重点探讨了PE头结构、输入表以及节表数据,以此重新构建PE文件,形成可执行PE文件。     

牵引变流器优化控制仿真研究

在电力机车牵引变流器优化控制的研究中,动车组牵引变流器是动车组完成电能转换和传递的关键部件,性能好坏直接关系到动车组能否安全可靠运行。针对CRH2A型牵引变流器输出电压变化率大、谐波含量高等问题,对多电平技术在牵引变流器中的应用进行了研究。首先分析了二极管箝位型五电平变流器(DCMLC)和模块化五电平变流器(M2LC)的工作原理及控制策略,分别构建了牵引变流器的优化模型;并根据CRH2A型牵引变流器主电路实际设计参数应用Matlab仿真软件对五电平DCMLC和M2LC分别进行了建模和仿真,比较和分析了牵引变流器中不同逆变器电路拓扑结构及其对应的控制策略对系统输入输出性能的影响。仿真结果初步验证了两种优化模型对CRH2A型牵引变流器性能的改善效果。     

UHT乳中Ccps信息的计算机管理

针对UHT乳系列产品,找出影响质量的关键点,并实时跟踪监测,针对问题实际制定纠偏措施,设计出了关键控制点（CCPs）信息的计算机管理程序,并对数据不定时查询和验证。     

浅谈五笔字型输入法速度

随着科学技术的发展以及办公自动化的普及,文字输入将是提高办公效率的基础。汉字的输入法较多,但是五笔字型输入法是几种输入法中最专业、速度最快、效率最高的一种录入方法。这种方法较其他输入法有着显著的优点,无论多么复杂的汉字和词组,最多只需击四个键便可输入电脑。重码率低于O.02％。懂五笔打字容易,但真正要会五笔打字就要付出相当的努力,还要讲究一定的方法和技巧,进行有效而系统的练习,才能提高五笔字型的输入速度。     

Role of multiplicity in reactive distillation control system design

The impact of steady-state multiplicities on the control of a simulated industrial scale methyl acetate reactive distillation (RD) column is studied. At a fixed reflux rate, output multiplicity, with multiple output values for the same reboiler duty, causes the column to drift to an undesirable steady-state under open loop operation. The same is avoided for a fixed reflux ratio policy. Input multiplicity, where multiple input values give the same output, leads to “wrong” control action under feedback control severely compromising control system robustness. A new metric, rangeability, is defined to quantify the severity of input multiplicity in a steady-state input–output (IO) relation. Rangeability is used in conjunction with conventional sensitivity analysis for the design of robust control structures for the RD column. Results for the two synthesized control structures show that controlling the most sensitive reactive tray temperature results in poor robustness due to low rangeability causing “wrong” control action for large disturbances. Controlling a reactive tray temperature with acceptable sensitivity but larger rangeability gives better robustness. It is also shown that controlling the difference in the temperature of two suitably chosen reactive trays further improves robustness of both the structures as input multiplicity is avoided. The article brings out the importance of IO relations for control system design and understanding the complex dynamic behavior of RD systems.     

Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network

Rainfall forecasting plays many important role in water resources studies such as river training works and design of flood warning systems. Recent advancement in artificial intelligence and in particular techniques aimed at converting input to output for highly nonlinear, non-convex and dimensionalized processes such as rainfall field, provide an alternative approach for developing rainfall forecasting model. Artificial neural networks (ANNs), which perform a nonlinear mapping between inputs and outputs, are such a technique. Current literatures on artificial neural networks show that the selection of network architecture and its efficient training procedure are major obstacles for their daily usage. In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks. The technique will be implemented to forecast rainfall for a number of times using rainfall hyetograph of recording rain gauges in the Upper Parramatta catchment in the western suburbs of Sydney, Australia. Results of the study showed the structuring of ANN network with the input parameter selection, when coupled with GA, performed better compared to similar work of using ANN alone.