42 resultados para Bus lanes


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在偏振耦合测试仪的PCI接口数据采集系统中,现场可编程门阵列(FieldProgramableGateArray)实现了对模/数器件的控制功能,同时完成了与PCI总线控制器间的数据接口功能。应用自顶向下的设计思想,完成了FPGA内部的逻辑设计,并对其逻辑功能进行了仿真验证,给出了FPGA数据采集时的测试时序图。应用FPGA实现的数据采集系统可以检测出偏振耦合检测仪中的微弱干涉光信号。

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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。

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在基于不同总线标准的个人计算机、工程工作站以及一些工业控制机间建立高速的并行通信通道,将它们构成多机系统,能够以较小的代价获得增强的系统特性.本文引入了一种在系统总线间提供并行数据通道的异种总线互连底板——总线桥的概念,讨论了它的结构和工作原理,提出了其实现方案,并着重描述了为总线桥定义的双向并行通讯协议 BBP(Bus Bridge Prtocol)

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本文论述了CAN总线系统中CAN适配卡的重要作用,在分析其他CAN适配卡实现方案优缺点的基础上提出了一种基于USB的新型CAN适配卡的实现方案,并详细的阐述了设计方法,给出了具体的软硬件实现方案。

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介绍了基于CAN总线的多种监控系统联网设计,该设计应用DDE(动态数据交换)技术实现VB程序与多种组态软件开发的SCADA系统的数据交换,通过调用动态链接库函数完成总线的数据通信,从而搭建了工业现场的信息化管理平台.

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介绍了如何把模糊控制算法与现场总线中的CAN总线结合起来应用于控制系统 ,并设计了一种智能型模糊控制算法 ,给出了系统的整体结构和现场模糊控制单元的硬件实现电路及其软件设计思路 ;系统的仿真结果表明 ,该系统实时性好 ,控制精度较高 ,鲁棒性强 ,在现场控制中有效可行

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介绍了基于CAN总线的路桥收费系统的设计与应用 ,给出了收费系统的整体结构 ,并对系统的硬件配置、软件功能作了详细说明。现场应用表明 ,该系统结构简单 ,可靠性高 ,应用灵活

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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。

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现场总线的发展与应用引起了传统控制系统结构的改变,CAN总线因其自身的特点被广泛应用于自动控制领域。本文介绍了一种基于CAN总线的粮情测控系统,给出了系统的总体结构,并对系统的硬件配置和软件功能作了详细的说明。实际应用表明本系统具有结构简单、可靠性高、灵活方便等优点,并且具有较好的性能价格比,有着广泛的应用前景。

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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。

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Since 1990s, commercial conditions in China including commercial environment, retail types, scale of retail enterprises, spatial structure of retail and shopping decision making factors have changed. In order to keep up with these changes, commercial geography should set up new perspectives, theories and methods to analyze its internal mechanism and changing rules, and thus provide reasonable and practical scientific basis to commercial planning, location decision of retail enterprises and commercial environment construction. Taking Xicheng and Haidian District of Beijing as research case, which is a sector region from city center to rural region, this paper selects 12 commercial centers as most important study objects of this sector. This paper mainly makes use of the methods of Modeling, Pearson Bivaiiate Correlations Analysis, Factor Analysis and Logit model. Based on 1300 questionnaires and fieldwork, this paper focuses on modeling of Consumer Satisfaction of Commercial Environment (CSCE), evaluation of commercial environment and driving factors of consumers' shopping location decision. Firstly, this paper discusses the development of commercial geography and commercial environment evaluation, the new characteristics and trends of commercial development in Beijing and physical commercial environment of Xicheng and Haidian District of Beijing from chapter 1 to chapter 4. Secondly, this paper summarizes characteristics of residents' shopping behavior in chapter 5. Thirdly, this paper sets up an evaluative model of CSCE, and analyzes consumer satisfaction indexes of commercial environment and their spatial features in chapter 6. Fourthly, this paper infers how residents' attributes and shopping behaviors affect their preferences of shopping location and what are residents' shopping location decisions and their influencing factors in chapter 7. Fifthly, this paper constructs a significant index model and a pyramidal framework of CSCE, and further analyzes the diversity and competitive advantage of commercial environment in chapter 8. Finally, some conclusions are drawn as follows: 1. Characteristics of residents' shopping behavior mostly embody residents' time distance preference, commodity consumption preference, shopping time distribution and shopping activity characteristics. The important factors that influence shopping location choice of residents are distance, transportation, commodity price, commodity types and commodity quality. However, the important factors, which influence shopping location re-choice of residents, are commodity price, commodity quality, commodity types and transportation. 2. CSCE indexes of 12 commercial centers show us significant spatial characteristics, such as spatial differences of "Center-fringe region", spatial characteristics of axes, spatial diversity of ring roads and so on. 3. Influencing factors including factor endowments, relative establishment factor and location and transportation factor of commercial environment are of importance for CSCE. 4. Logit model 1 indicates that shopping behavior of residents is significantly and positively related to working in high-tech companies, high income and by car and positively related to high school diploma, by bus and subway. 5. Logit model 2 indicates that residents' shopping location decision is significantly and positively related to leisure establishment and relative restaurant and entertainment establishment and negatively related to commercial location, commodity price, service quality, parking site. 6. The significant index model and the pyramidal framework of CSCE indicate competitive advantages are crucial to attractive capability of commercial center, and competitive weakness limits development of commercial centers, in particular the weakness of service quality and parking site now is the chief factors restricting development of commercial centers

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This paper presents the development of a mini-electrochemical detector for microchip electrophoresis. The small size (3.6 x 5.0 cm(2), W x L) of the detector is compatible with the dimension of the microchip. The use of universal serial bus (USB) ports facilitates installation and use of the detector, miniaturizes the detector, and makes it ideal for lab-on-a-chip applications. A fixed 10 M Omega feedback resistance was chosen to convert current of the working electrode to voltage with second gain of 1, 2, 4, 8, 16, 32, 64 and 128 for small signal detection instead of adopting selectable feedback resistance. Special attention has been paid to the power support circuitry and printed circuit board (PCB) design in order to obtain good performance in such a miniature size. The working electrode potential could be varied over a range of +/-2.5 V with a resolution of 0.01 mV. The detection current ranges from -0.3 x 10(-7) A to 2.5 x 10(-7) A and the noise is lower than 1 pA. The analytical performance of the new system was demonstrated by the detection of epinephrine using an integrated PDMS/glass microchip with detection limit of 2.1 mu M (S/N = 3).