液相物性对气液两相管流流型和压降影响的研究

通过实验研究了不同液相介质(水相和油相)对气液两相管流中流型和压降的影响.实验管线为内径50mm的透明有机玻璃管,管线从入口到分离器长约35m,实验管段由一个高3.3m、宽0.72m的垂直倒U型管和一个长3m的水平管组成.实验结果表明对于较低液相粘度的气液两相流动,液相物性对水平管中塞状流向弹状流的转化以及倒U型管中下降管内的环状液膜流动向间歇流动的转化有一定的影响,但对水平管中分层波状流动向间歇流动的转化以及倒U型管中上升管内的流型转化影响很小.通过分析压降数据得出,对于倒U型管中的上升段,液相流动状态对于压降起着主导作用,但在下降管内液相和气相的流动状态都对压降有重要影响.     

Kalman filtering techniques for reducing variance of digital speckle displacement measurement noise

Target dynamics are assumed to be known in measuring digital speckle displacement. Use is made of a simple measurement equation, where measurement noise represents the effect of disturbances introduced in measurement process. From these assumptions, Kalman filter can be designed to reduce variance of measurement noise. An optical and analysis system was set up, by which object motion with constant displacement and constant velocity is experimented with to verify validity of Kalman filtering techniques for reduction of measurement noise variance.     

关于气液两相流流型及其判别的若干问题

气液两相流体系是一个复杂的多变量随机过程体系,流型的定义、流型过渡准则和判别方法等方面的研究是多相流学科目前研究的重点内容.本文就与气液两相流流型及其判别有关的研究状况进行了回顾和评述,力图反映近年来气液两相流流型及其判别问题研究的状态和趋势.      

一种基于概念模型的数据集成框架研究

提出了一种基于概念模型的数据集成方法,对总体的数据集成系统框架进行了构建,对概念模型的描述方法、模型间关系、以及系统中不同层次间的映射进行了介绍。最后对基于概念模型的集成策略进行了设计。通过这一系统可以支持对全局概念和各个数据源的建模,并通过有效的推理机制完成对多数据源的集成。     

Tracking speckle displacement by double Kalman filtering

A tracking technique using two sequentially-connected Kalman filter for tracking laser speckle displacement is presented. One Kalman filter tracks temporal speckle displacement, while another Kalman filter tracks spatial speckle displacement. The temporal Kalman filter provides a prior for the spatial Kalman filter, and the spatial Kalman filter provides measurements for the temporal Kalman filter. The contribution of a prior to estimations of the spatial Kalman filter is analyzed. An optical analysis system was set up to verify the double-Kalman-filter tracker's ability of tracking laser speckle's constant displacement.