基于虚拟仪器的水电机组振动监测系统设计

介绍了基于C++Builder开发平台和研华PCI-1715U数据采集卡的水电机组振动测试系统,通过设计相应的系统硬件和软件,可以对水电机组的运行状态进行实时振动监测和各种数据分析,为水电机组的状态监测提供了很好的技术手段.     

基于MCGS的海洋生态环境实时监测系统软件设计

设计了基于MCGS组态软件的海洋生态环境自动监测系统软件,结合营养盐、多参数、海水总有机碳等传感器的使用,实现了对水质综合参数、营养物质、有机物等多项海洋生态参数的实时自动监测,并通过DTU数据传输终端将数据实时传送至用户数据中心。该软件采用模块化设计,数据结构较稳定,可移植性和可扩展性较强,界面生动清晰,用户操作简单,维护方便。实验结果表明,该软件运行稳定,数据通信可靠,可用于海洋生态环境的实时监测。     

选煤厂自动冲洗控制系统

将PLC与WinCC组态相结合,建立了自动冲洗控制系统。上位机的WinCC组态监控软件实现了冲水过程的图像实时监控,下位机可编程控制器(PLC)实现对自动冲洗系统各个执行机构的控制。应用结果表明,本控制系统使用方便,运行可靠。     

基于Modbus协议在中央空调的应用

针对传统的中央空调系统通讯实施性差,自适应调节能力差,自动化集成度低等特点,设计了基于Modbus协议的工业监控系统。该系统以BOCTEK组态软件作为上位机监控,下位机采用DDC控制器实现对空调温度的精确控制,从而实现了中央空调系统参数显示,自动报警,报表打印的功能,实现了中央空调系统的准确合理控制。     

基于SCADA 的物联网大气环境监测系统设计

为解决传统监测系统无法做到精确、实时地监控各地区大气环境数据的问题, 设计了基于SCADA(Supervisory Control And Data Acquisition)系统, 集组态软件、计算机和数据库技术于一体的物联网大气环境监测系统。该系统使用便携式气体检测仪作为下位机对大气污染物浓度进行采集, 利用组态软件搭建中央监控平台对采集数据进行接收处理与分析。该系统实现了下位机接收数据, 服务器存储数据, 并能实时进行数据监测及历史数据查询。实验结果显示, 该系统既可实时监控监测节点的大气环境变化, 又可实现监测节点的历史数据查询, 生成历史报表, 具有采集数据、存储数据及气体浓度预警的功能。解决了传统监测系统存在的监测范围无法细化、监测数据无法实时更新与发布的问题, 为更加方便、实时、高效地监测大气环境提供了技术保障。     

带钢热连轧AGC系统实时仿真

设计了基于数字信号处理器DSP的热连轧自动厚度控制(AGC)实时仿真器,建立了调厚过程压下系统和变形区的动态模型.仿真时,仿真器实时并行地计算带钢和轧机的模型,计算机控制系统的控制器运行AGC软件,两者通过内存映像网实时交换数据,因此通过虚拟的对象实现了对AGC软件的实时离线调试.     

浅谈PLC在水厂水质监测中的应用

水质指标和机组运行参数,是水厂监测的重要内容,为保证水厂安全优质供水并实现安全经济运行,必须对水厂运行机组和水质指标进行测量与监视。本文介绍了我水厂实时数据采集系统,它由PLC、计算机、水质监测仪表、传感变送器,采用可编程序控制器（PLC）作为实时数据采集系统的核心,具有长期运行稳定,精度高,可通信,易编程,体积小等特点,它与计算机组成计算机实时数据采集系统,具有实时信号采集,集中图形显示,智能化数据处理,自动打印记录等诸多优点,是工业生产过程中监测技术的发展方向。     

带钢热连轧AGC系统实时仿真

设计了基于数字信号处理器(DSP)的热连轧自动厚度控制(AGC)实时仿真器,建立了调厚过程压下系统和变形区的动态模型.仿真时,仿真器实时并行地计算带钢和轧机的模型,计算机控制系统的控制器运行AGC软件,两者通过内存映像网实时交换数据,通过虚拟的对象实现了对AGC软件的实时离线调试.     

船舵测试数据采集系统的设计与实现

集中监测控制台内集成一套以工控机为核心的数据采集系统,利用组态软件力控监控测试画面和阿尔泰板卡采集数据,满足对试验台加载系统和受试舵机的遥控、压力调节、报警监测、过程数据采集、存储和实时显示等功能.并能按操作者设定的函数自动计算出扭矩等无法直接测量的参数,输出指定的数据表格及曲线图.     

基于MCGS组态软件的加料过程自动监控系统设计

针对工业生产加料过程中自动化程度低、工人劳动强度大、生产成本高等缺点,设计了基于MCGS组态软件的加料过程自动监控系统。采用三菱FX-1N型PLC作为生产现场信号的采集及控制信号输出的控制器,上位机采用MCGS组态软件开发出动态监控界面,能够对整条生产线的运行情况进行实时监测。监控系统的设计符合自动化生产的要求,具有较高的工业应用价值。     

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.