一种基于自校准技术的信号采集系统

介绍一种基于自校准技术的信号采集系统 .该系统能消除温度漂移与时间漂移引起的误差 .系统电路简洁、实用 ,达到较高的精度     

基于PCA的火电厂湿法烟气脱硫系统的传感器故障诊断

提出一种基于主元分析(PCA)的故障诊断方法,用于解决火电厂湿法烟气脱硫系统的传感器故障诊断问题.该方法利用PCA建立故障诊断模型,通过计算平方预报误差、传感器识别指数、故障重构值,对传感器故障进行检测、识别及恢复.利用华能福州电厂湿法烟气脱硫系统的采集数据进行传感器的完全失效、偏差、漂移与精度等级下降等4种类型故障的...     

微机电系统压力传感器抗干扰系统设计

鉴于传统的硅基MEMS压阻式压力传感器普遍存在温度漂移和时间漂移误差,本文采用恒温控制和恒流源自校正方法针对上述问题设计和研究了一种MEMS压力传感器抗干扰系统。首先,简单介绍了传感器的各项参数和温漂、时漂原理。其次,设计并制作了传感器相关外部抗干扰电路。最后,对该系统进行实验测试。结果表明,抗干扰系统能减小传感器温漂和时漂误差,热零点漂移的绝对值由恒温前的0.0652%FS/℃降至恒温后的0.00788%FS/℃,热灵敏度漂移的绝对值由0.118%FS/℃降至0.0153%FS/℃,时漂补偿后预测误差由-3.436~0.875 kPa降低至-2.086~1.765 kPa。该设计对MEMS压力传感器温漂、时漂补偿等抗干扰方面的研究具有一定参考价值。     

基于反馈调节器的应变式位移传感器非线性校正

因受自身材质、工艺等条件的限制以及温度等外界环境影响,应变式位移传感器的输入-输出特性存在非线性误差.采用最小二乘法建立传感器正模型、逆模型及传统方法补偿后的传感器输出误差模型.在此基础上根据反馈控制理论引入反馈调节器,利用传感器正模型与输出误差模型对系统非线性特性做进一步补偿,实现对传统非线性校正方法的改进.同时,通过调节反馈系数改变反馈调节器的作用强度,可抑制系统零点漂移.研究结果表明,经含有反馈调节器的非线性校正环节作用后,系统的非线性特性及零点漂移得以改善     

一种基于光线漂移补偿的导轨角度误差测量方法

提出了一种带有光线漂移补偿的测量导轨俯仰角误差、偏摆角误差的方法及系统.将平面反射镜作为角度测量敏感元件,利用二维位置敏感探测器(PSD)和透镜组合来实时监测激光器本身所引起的光线角度漂移.实验结果表明:使用本系统测量导轨的角度误差,由激光器本身所引起的光线角度漂移对导轨偏摆角及俯仰角误差的影响可分别减少89.3%和69.2%,进一步提高了导轨角度误差测量的精度.     

一种光纤光栅加速度传感系统

研制了一种高精度、低成本适合于地震勘探和矿山安全等工程领域的光纤光栅加速度传感系统。该系统利用加速度改变光纤光栅中心波长的原理工作,可以有效消除温度漂移对动态应变测量的影响。实验结果表明,传感器频响在2-100Hz,灵敏度1．2pm／με,动态范围达80dB,是一种较为理想的光纤加速度传感系统。     

刀口位置误差对激光光束漂移测量精度的影响

本文对刀口法激光光束漂移测量系统中刀口位置误差进行了分析，分析表明，在刀口位置误差中，Ｚ和△Ｚ对测量精度的影响最大。利用微调机构可以消除Ｚ的影响，△Ｚ的影响需采用高精度对焦机构来减小或消除，该分析对指导实验过程和完善系统设计具有指导意义。     

光纤电压传感器光路系统误差分析

研究了光纤电压传感器光路系统中光源、光纤、电光晶体和光电探测器对测量误差的影响结果表明,采用谱线宽度窄、温度漂移小的光源,可减小电光效应的相位延迟误差;采用单模光纤有利于提高信噪比;采用多次提拉的纯净BGO晶体,可抑制双折射的影响;采用暗电流小、线性度好的光电探测器,有利于减小传感器的漂移,改善传感器的线性度．     

镜头埋入深度的组合测量方法

根据精密摄像系统中摄像头实际安装工况，为了避免传统的点接触测量法的缺点，提出了多电容传感器组合的非接触式镜头埋入深度测量法．采用电容传感器测量，可实现非接触测量，仪器体积小巧，精度高达0．1μm,此外，利用多个传感器对环境敏感而漂移的同向性，抑制了单一传感器数据的漂移，提高了测量的稳定性。克服了单一传感器无法进行形位误差测量的缺陷，标定和现场实验证明了该方法的可行性，系统测量精度达到2μm．     

光纤电压传感器光路系统误差分析

研究了光纤电压传感器光路系统中光源、光纤、电光晶体和光电探测器对测量误差的影响．结果表明。采用谱线宽度窄、温度漂移小的光源,可减小电光效应的相位延迟误差;采用单模光纤有利于提高信噪比;采用多次提拉的纯净BGO晶体,可抑制双折射的影响;采用暗电流小、线性度好的光电探测器,有利于减小传感器的漂移,改善传感器的线性度．     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.