A new kind of compound solid-state quasi-optical power combiner

In this paper, a new kind of solid-state quasi-optical power combiner is presented. It consists of two or more singlecavity multiple-device power combiners and a Fabry-Perot cavity. The experimenal results using six Gunn diodes at X-band show that the total output power is higher than 400 mW, the total combining efficiency is as high as 83%, and the frequency stability is better than 10^?5.     

单模光纤的传输衰减随温度变化的研究

本文从实验上测量了单模石英光纤在－50～120℃范围内的损耗。随着温度升高，光纤的损耗随之降低，在常温附近达到最小。其后损耗随着温度的继续升高而增加。损耗的变化主要是由于杂质的吸收和微弯损耗。本文对杂质的吸收以及微弯损耗进行了数值模拟，并且从理论上定性地解释了损耗对温度的依赖关系。     

底水油藏射孔优化设计

为了优化底水油藏的生产参数，研究了不同产量时射孔长度的优化方法。采用球面流和径向流相结合的模型推导了临界产量和无水采油量的计算公式，分别以临界产量和无水采油量为标准，对胜利油田桩西区块底水油藏上6口油井的射孔长度进行了优化设计，优化结果表明，对于底水油藏应首先按照临界产量对射孔长度进行优化设计，如果得到的最大临界产量不符合实际生产的要求，就应按照无水采油量进行射孔优化设计。研究表明，当油井产量超过临界产量后，以临界产量为标准得到的优化射孔长度会减小油井的无水采油量。     

天然气的储存

随着能源结构的调整,天然气在一次能源中的比重逐步增大,天然气的储存成为人们日益关注的课题,作者就此作一综述。     

基于混合遗传算法的树状注水管网拓扑优化

以投资最小为目标函数,以井间隶属关系的惟一性、连接注水井数量等限制为约束条件,建立了树状注水管网拓扑优化数学模型.根据模型特点,将优化问题分为分配层和几何层,分别采用遗传算法和非线性优化方法进行求解.并对遗传算法的操作过程进行了改进,调整了适应函数,采用随机多父辈适应函数值加权交叉和多种变异操作,结合了模拟退火算法,并给出了初温的确定方法,改进了选择复制操作,从而形成了混合遗传算法.该算法能够有效地提高收敛速度,避免早熟收敛.利用算例说明了该方法的有效性.     

基于HMM方法的动态手势轨迹训练性能研究

基于HMM(Hidden Markov Model,隐形马尔可夫模型)对动态手势轨迹的训练是手势识别的关键技术之一。本文对HMM的模型训练采用Baum.Welch算法,并分别从迭代次数,样本个数选取,以及模型初值选取等方面对动态手势轨迹的训练性能进行了研究。实验结果表明HMM方法对具有时空特性的动态手势轨迹识别是非常有效的。     

面向城市固体废物管理辅助决策的GIS解决方案

把城市固体废物产生预测、固体废物的运输、固体废物的处理的优化决策、固体废物的处理的定量经济评价等作为一个整体考虑，提出了一体化的GIS解决方案。利用灰色预测模型进行固体废物产生量及成分预测，并借助于组件GIS的开发技术增强其空间表达和分析能力，为城市固体废物产生预测、评价、处理提供决策支持。     

Optimal control and operation of drum granulation processes

Process optimisation and optimal control of batch and continuous drum granulation processes are studied in this paper. The main focus of the current research has been: (i) construction of optimisation and control relevant, population balance models through the incorporation of moisture content, drum rotation rate and bed depth into the coalescence kernels; (ii) investigation of optimal operational conditions using constrained optimisation techniques; (iii) development of optimal control algorithms based on discretized population balance equations; and (iv) comprehensive simulation studies on optimal control of both batch and continuous granulation processes. The objective of steady state optimisation is to minimise the recycle rate with minimum cost for continuous processes. It has been identified that the drum rotation-rate, bed depth (material charge), and moisture content of solids are practical decision (design) parameters for system optimisation. The objective for the optimal control of batch granulation processes is to maximize the mass of product-sized particles with minimum time and binder consumption. The objective for the optimal control of the continuous process is to drive the process from one steady state to another in a minimum time with minimum binder consumption, which is also known as the state-driving problem. It has been known for some time that the binder spray-rate is the most effective control (manipulative) variable. Although other possible manipulative variables, such as feed flow-rate and additional powder flow-rate have been investigated in the complete research project, only the single input problem with the binder spray rate as the manipulative variable is addressed in the paper to demonstrate the methodology. It can be shown from simulation results that the proposed models are suitable for control and optimisation studies, and the optimisation algorithms connected with either steady state or dynamic models are successful for the determination of optimal operational conditions and dynamic trajectories with good convergence properties.     

现场总线技术的特点及其在热电站的应用

阐述了现场总线技术的含义、主要特点和优点,对比了现场总线控制系统与DCS系统的区别,介绍了现场总线技术在洛阳石化分公司热电站的典型应用及其发展前景。