CSR控制系统的大规模多级分布式数据交互系统

CSR控制系统是一个庞大的网络分布式控制系统,它是由许多子系统组成。大规模多级分布式数据交互系统是CSR控制系统中的核心。它是实现CSR束流多能量级连调的核心，它涉及整个CSR控制系统的数据传输以及数据结构定义。大规模多级分布式数据交互系统的开发是基于螺旋模型，采用螺旋模型进行开发能最优实现CSR控制系统的需求以及各开发阶段具有很大的设计灵活性。该大规模多级分布式数据交互系统完全实现了采集数据的上行和控制数据的下行，系统通过网页实现对控制数据的录入以及对采集数据的实时显示。CSR所有数据都存储于Oracle数据库系统，数据库系统是一个三级分布式数据库系统，这样能均衡各前端服务器的资源与性能。前端服务器COM组件通过TCP/IP与ARM控制器和多功能控制器进行数据上行下行的数据交互，以及通过PCI 接口实现与各FPGA板卡进行数据交互。 论文论述了对大规模多级分布式数据交互系统、网页系统、Oracle数据库系统、COM组件库、PCI驱动程序以及各软件系统的设计实现。对大规模多级分布式数据交互系统主要从系统的结构、各级硬件设计和各级软件系统的设计这几个方面进行论述；网页系统主要描述了该系统是基于MVC框架模型的开发设计并介绍了JavaBean与Oracle数据库系统的数据交互；Oracle数据库系统主要从二级Oracle数据库的自动实时更新，和各触发器系统这几方面进行论述；又从各COM接口的功能方法进行对COM组件库的全面论述；PCI驱动程序的设计开发是与各FPGA板卡的数据交互的必须条件。大规模多级分布式数据交互系统的软件开发都采用了螺旋模型对其进行开发。本文的工作是CSR控制系统中的核心部分，具有重要的意义，同时也给同行研究工作者提供了重要的参考。 本文核心及创新点：1、创造性地提出了大规模多级分布式数据交互系统软件工程。2、三级分布式数据库系统的自动实时更新。3、采用web+Oracle+COM+PCI+ARM+FPGA+DSP的多级数据传输。4、设计并实现虚拟加速器。 从现场调试运行和验收的情况来看，大规模多级分布式数据交互系统不论从结构设计，还是软硬件设计开发都达到了设计要求

基于CAN总线的分布式数据采集与控制系统

本文给出了一种基于 CAN总线的分布式数据采集与控制系统的设计与应用，介绍了 CAN总线的硬件接口电路设计，并对系统的整体结构、硬件配置、软件功能及各节点功能分别作了详细说明。实验表明，该系统具有结构简单、可靠性高、性能价格比高等特点，有广阔的应用前景。

SJA1000在数据采集与控制系统中的应用

本文介绍了一种新型的现场总线控制器ＳＪＡ １０００的基本结构及其功能特点，简要叙述了ＳＪＡ１０００与ＡＴ８９Ｃ５１组成的在基于ＣＡＮ总线的分布式数据采集与控制系统中的硬件接口电路和工作原理，最后还给出了通信程序清单。

基于CAN总线的分布式数据采集与控制系统

随着电子技术和计算机技术的不断发展，工业生产过程的控制系统正在向着智能化、数字化和网络化的方向发展。传统的集散控制方式和计算机分层控制方式已经开始让位于智能终端与网络结合的总线网络控制方式。当今，在工厂中过程控制环境下的分布式自动化系统变得越来越复杂，尤其系统内部的各设备之间需要快速交换大量的信息，以便实现对被控系统更为精确的控制和提供一些辅助的评价函数。这就意味着要不断增加带宽和提高通信速率以满足网络通信的需要。在现有的多种可利用网络设备中，CAN总线以其清晰的定义、极高的可靠性及其独特的设计，被认为是最能有效地解决这一问题的途径之一。而且市场上基于通信技术的产品中，就实时性考虑，由于CAN总线采用的非表意性的通信方式，因此其结构更为简单，实时性更好。基于此背景，我们以CAN总线作为通信媒介，将分布于各控制现场的传感器、执行器和控制器有序地连接起来，构成了一个基于CAN总线的分布式局域网络控制系统。本文首先介绍了基于CAN总线的分布式数据采集与控制系统的总体结构。然后从硬件方面描述了基于CAN总线的通信协议转换单元、数据采集单元和输出控制单元的功能、硬件配置及各单元功能的具体实现过程，给出了各单元的性能指标。软件方面，以C语言作为平台，开发了基于CAN总线的上位计算机管理与监控软件，实现了对整个网络设备的系统管理和系统控制功能。对于该总线系统，作者运用了PID控制和模糊控制算法实现了对水箱液位的控制，达到了理想的效果。基于CAN总线的控制系统很好地解决了集散控制系统难以解决的难题，模糊控制的应用能很好地把总线控制系统应用到具有非线性、大时滞和难于获得精确模型的控制系统中。

人口空间数据误差分析研究

Spatial population data, obtained through the pixeling method, makes many related researches more convenient. However, the limited methods of precision analysis prevent the spread of spatial distribution methods and cumber the application of the spatial population data. This paper systematically analyzes the different aspects of the spatial population data precision, and re-calculates them with the reformed method, which makes breakthrough for the spread of the pixeling method and provides support and reference for the application of spatial population data. The paper consists of the following parts: (2) characters of the error; (2) origins of the error; (3) advancement on the calculating methods of the spatial population data. In the first place, based on the analysis of the error trait, two aspects of the spatial population data precision are characterized and analyzed: numerical character and spatial distributing character. The later one, placed greater emphasis on in this paper, is depicted in two spatial scales: county and town. It is always essential and meaningful to the research in this paper that spatial distribution is as important as numerical value in analyzing error of the spatial distributed data. The result illustrates that the spatial population data error appears spatially in group, although it is random in the aspect of data statistics, all of that shows there lies spatial systematic error. Secondly, this paper comes to conclude and validate the lineal correlation between the residential land area (from 1:50000 map and taken as real area) and population. Meanwhile, it makes particular analysis on the relationship between the residential land area, which is obtained from the land use map and the population in three different spatial scales: village, town and county, and makes quantitative description of the residential density variation in different topological environment. After that, it analyzes the residential distributing traits and precision. With the consideration of the above researches, it reaches the conclusion that the error of the spatial distributed population is caused by a series of factors, such as the compactness of the residents, loss of the residential land, the population density of the city. Eventually, the paper ameliorates the method of pixeling the population data with the help of the analysis on error characters and causes. It tests 2-class regionalization based on the 1-class regionalization of China, and resorts the residential data from the land use map. In aid of GIS and the comprehensive analysis of various data source, it constructs models in each 2-class district to calculate spatial population data. After all, LinYi Region is selected as the study area. In this area, spatial distributing population is calculated and the precision is analyzed. All it illustrates is that new spatial distributing population has been improved much. The research is fundamental work. It adopts large amounts of data in different types and contains many figures to make convincing and detailed conclusions.

Web-based spatiotemporal visualization of marine environment data

With long-term marine surveys and research, and especially with the development of new marine environment monitoring technologies, prodigious amounts of complex marine environmental data are generated, and continuously increase rapidly. Features of these data include massive volume, widespread distribution, multiple-sources, heterogeneous, multi-dimensional and dynamic in structure and time. The present study recommends an integrative visualization solution for these data, to enhance the visual display of data and data archives, and to develop a joint use of these data distributed among different organizations or communities. This study also analyses the web services technologies and defines the concept of the marine information gird, then focuses on the spatiotemporal visualization method and proposes a process-oriented spatiotemporal visualization method. We discuss how marine environmental data can be organized based on the spatiotemporal visualization method, and how organized data are represented for use with web services and stored in a reusable fashion. In addition, we provide an original visualization architecture that is integrative and based on the explored technologies. In the end, we propose a prototype system of marine environmental data of the South China Sea for visualizations of Argo floats, sea surface temperature fields, sea current fields, salinity, in-situ investigation data, and ocean stations. An integration visualization architecture is illustrated on the prototype system, which highlights the process-oriented temporal visualization method and demonstrates the benefit of the architecture and the methods described in this study.