基于CPLD的光伏数据采集系统的设计

为了提升光伏阵列的输出效率,设计了一种以复杂可编程逻辑器件(CPLD)为核心,基于MSP430F169单片机的光伏数据采集系统。针对传统的数据采集方式速度慢、外围电路复杂、安全性低的问题,开发设计了基于CPLD的光伏发电数据采集系统,并且内部采用了先进的先入先出队列(FIFO)存储结构。通过RS232串口方式和无线模块方式与上位机通信传输。实验证明,本设计数据采集速度快、功耗低、传输稳定可靠。     

现代物流实时跟踪系统及实现

多数现存的物流系统未能真正实现物流作业过程的电子化,这使得物流这种现代经济综合服务模式不足以实现最佳的经济效益。鉴于这种情况,现代物流实时跟踪系统平台设计问题提供了一种有效的解决方案,也许能在为货主提供尽可能详细的信息和咨询服务的同时,进一步提高物流系统的运营效率和质量,增强我国第三方物流企业的科技含量和竞争力。 鉴于我国传统物流系统存在的诸多问题,开发一套物流全程实时跟踪查询系统就显得尤为重要。在所有前述分析     

球载天文观测跟踪及数据采集综合系统

本文介绍了用于天文观测的球载Ｘ射线探测器自动跟踪及科学数据采集综合系统。该系统采用ＳＴＤ总线标准，通过多ＣＰＵ并行工作方式，实现了基于ＧＰＳ的对多个天体自动跟踪观测和科学数据采集。     

分布式实时资源数据采集装置的设计

电力系统在线安全分析、电能质量监测、电量数据采集,环境因素分析都需要数据采集装置,为了及时掌控实时数据以便精准分析,要求数据采集装置时延性小,采集精度较高,抗干扰能力强等诸多特点.因此设计一种具备上述功能的数据采集装置较为重要,本文基于STM32F103ZET6设计一款数据采集电路,可实时采集各模块数据,并将数据联网处...     

EAST长时间数据采集及远程实时显示系统

为了适应EAST长脉冲放电的需要,有必要进行长时间数据采集,并将实验诊断信号进行远程实时显示,使实验人员在实验中及时了解装置的运行状态,从而做出判断和决策.文章用PCI-9112数据采集卡设计并实现了EAST实验诊断信号数据采集并实现了数据的远程实时显示,详细介绍了系统的硬件结构、软件设计和实现.     

太阳能光伏发电系统数据采集和测试平台

太阳能光伏发电系统利用可再生能源太阳能来提供稳定的电力供应,污染小,因而在近几年得到了很广泛的应用.本文设计了一个以LabVIEW为软件支持、以数据采集卡为硬件支持的虚拟仪器来评测光伏发电系统的性能,并拥有数据采集、数据保存和信号分析等功能.在这个所提出的系统中,测量的信号包括气象参数(如温度等)和电气参数(比如光伏阵列的电压和电流等).实验结果证明这套系统可以很有效的反映光伏发电系统的运行特性.     

用实时时钟芯片DS1305启动数据采集系统

介绍串行时钟芯片DS1305的功能，结构及其利用DS1305设计的电源开关电路，可使数据采集系统平时处于关闭状态，定时开启时系统上电，进行数据采集：一次工作结束时关闭开关，系统断电。     

EAST长时间数据采集及远程实时显示系统

为了适应EAST长脉冲放电的需要,有必要进行长时间数据采集,并将实验诊断信号进行远程实时显示,使实验人员在实验中及时了解装置的运行状态,从而做出判断和决策。文章用PCI-9112数据采集卡设计并实现了EAST实验诊断信号数据采集并实现了数据的远程实时显示,详细介绍了系统的硬件结构、软件设计和实现。     

基于实时数据采集的驾驶桩考系统的实现

介绍了一个基于实时数据采集的汽车驾驶桩考系统,提出了在强干扰下数据传输和串行通信的处理方法,并介绍了实时动画的实现方式以及对中途停车和行驶方向的判别方法。     

An integrated real time MRP and group technology system

The approach taken in this paper is twofold. First manufacturing environment is simplified for the purposes of planning and control without losing any of the essential characteristics. Second, a simple GT model is applied to the shop floor area and real time MRP is applied to the assembly area. The aim of this study is to develop and compare with a simulation of similar proposal except that jobshop is used in the shop floor area instead. The variable factors in both models were the set up time to operation time ratio and the intensity of the loading on the machines. In the highly loaded situations, the GT model faired better than the job shop model. However, for low loaded situations the performances of the two models were similar.     

An integrated highly synchronous,high resolution,real time eye tracking system for dynamic flight movement

Electronic surveillance systems are being used rapidly today, ranging from a simple video camera to a complex biometric surveillance system for facial patterns and intelligent computer vision based surveillance systems, which are applied in many fields such as home monitoring, security surveillance of important places and mission critical tasks like air traffic control surveillance. Such systems normally involve a computer system and a human surveillance operator, who looks at the dynamic display to perform his surveillance tasks. Exploitation of shared information between these physical heterogeneous data capture systems with human operated functions is one emerging aspect in electronic surveillance that has yet to be addressed deeply. Hence, an innovative interaction interface for such knowledge extraction and representation is required. Such an interface should establish a data activity register frame which captures information depicting various surveillance activities at a specified spatial and time reference.This paper presents a real time eye tracking system, which integrates two sets of activity data in a highly dynamic changing and synchronous manner in real-time with respect to both spatial and time frames, through the “Dynamic Data Alignment and Timestamp Synchronisation Model”. This model matches the timestamps of the two data streams, aligns them to the same spatial reference frame before fusing them together into a data activity register frame. The Air Traffic Control (ATC) domain is used to illustrate this model, where experiments are conducted under simulated radar traffic situations with participants and their radar input data. Test results revealed that this model is able to synchronise the timestamp of the eye and dynamic display data, align both of these data spatially, while taking into account dynamic changes in space and time on a simulated radar display. This system can also distinguish and show variations in the monitoring behaviour of participants. As such, new knowledge can be extracted and represented through this innovative interface, which can then be applied to other applications in the field of electronic surveillance to unearth monitoring behaviour of the human surveillance operator.     

多路跟踪滤波同步数据采集系统的研究

介绍了采用高速硬件锁相环技术,对多路相关联信号同时、同步整周期均匀采样和抗混叠跟踪滤波的实现方法。给出了基于此方法由TMS320LF2407和AD73360L构成的多路数据采集与处理系统。提出一种不同结构的同步串行口接口电路的设计方法,给出了电路连接与软件流程。     

An integrated method for real time and offline web robot detection

Recent academic and industry reports confirm that web robots dominate the traffic seen by web servers across the Internet. Because web robots crawl in an unregulated fashion, they may threaten the privacy, function, performance, and security of web servers. There is therefore a growing need to be able to identify robot visitors automatically, in offline and in real time, to assess their impact and to potentially protect web servers from abusive bots. Yet contemporary detection approaches, which rely on syntactic log analysis, finding statistical variations between robot and human traffic, analytical learning techniques, or complex software modifications may not be realistic to implement or remain effective as the behavior of robots evolve over time. Instead, this paper presents a novel detection approach that relies on the differences in the resource request patterns of web robots and humans. It rationalizes why differences in resource request patterns are expected to remain intrinsic to robots and humans despite the continuous evolution of their traffic. The performance of the approach, adoptable for both offline and real time settings with a simple implementation, is demonstrated by playing back streams of actual web traffic with varying session lengths and proportions of robot requests.     

基于FPGA的实时视频图像采集处理系统设计

针对目前数字图像采集处理技术的实时性、大容量、小型化等特点,设计了一种基于FPGA的实时视频图像采集处理电路系统。采用FPGA作为整个系统的控制和图像数据处理中心。DDR2 SDRAM为高速储存模块核心器件,CMOS 7670为视频图像采集器件。并通过Quratus Ⅱ和Modelsim等软件对系统的边缘检测算法、控制过程、各个模块等进行硬件工程设计和仿真,实现了视频图像从采集、存储到处理、显示的整个过程。实验表明,视频图像采集处理的动态画面流畅、清晰、实时性好。     

An integrated fuzzy time series forecasting system

A number of fuzzy time series models have been designed and developed during the last decade. One problem of these models is that they only provide a single-point forecasted value just like the output of the crisp time series methods. In addition, these models are suitable for forecasting stationary or trend time series, but they are not appropriate for forecasting seasonal time series. Hence, the objective of this study is to develop an integrated fuzzy time series forecasting system in which the forecasted value will be a trapezoidal fuzzy number instead of a single-point value. Furthermore, this system can effectively deal with stationary, trend, and seasonal time series and increase the forecasting accuracy. Two numerical data sets are selected to illustrate the proposed method and compare the forecasting accuracy with four fuzzy time series methods. The results of the comparison show that our system can produce more precise forecasted values than those of four methods.     

An integrated automatic test data generation system

The Godzilla automatic test data generator is an integrated collection of tools that implements a relatively new test data generation method—constraint-based testing—that is based on mutation analysis. Constraint-based testing integrates mutation analysis with several other testing techniques, including statement coverage, branch coverage, domain perturbation, and symbolic evaluation. Because Godzilla uses a rule-based approach to generate test data, it is easily extendible to allow new testing techniques to be integrated into the current system. This article describes the system that has been built to implement constraint-based testing. Godzilla's design emphasizes orthogonality and modularity, allowing relatively easy extensions. Godzilla's internal structure and algorithms are described with emphasis on internal structures of the system and the engineering problems that were solved during the implementation.Parts of this research were supported by Contract F30602-85-C-0255 through Rome Air Development Center while the author was a graduate student at the Georgia Institute of Technology.     

An integrated temporal data model incorporating time series concept

Most temporal data models have concentrated on describing temporal data based on versioning of objects, tuples or attributes. The concept of time series, which is often needed in temporal applications, does not fit well within these models. The goal of this paper is to propose a generalized temporal database model that integrates the modeling of both version-based and time-series based temporal data into a single conceptual framework. The concept of calendar is also integrated into our proposed model. We also discuss how a conceptual Extended-ER design in our model can be mapped to an object-oriented or relational database implementation.     

A real time process management system using RFID data mining

Recently, there have been numerous efforts to fuse the latest Radio Frequency Identification (RFID) technology with the Enterprise Information System (EIS). However, in most cases these attempts are centered mainly on the simultaneous multiple reading capability of RFID technology, and thus neglect the management of massive data generated from the RFID reader. As a result, it is difficult to obtain flow information for RFID data mining related to real time process control. In this paper, we propose an advanced process management method, called ‘Procedure Tree’ (PT), for RFID data mining. Using the suggested PT, we are able to manage massive RFID data effectively, and perform real time process management efficiently. Then we evaluate the efficiency of the proposed method, after applying it to a real time process control system connected to the RFID-based EIS. For the verification of the suggested system, we collect an enormous amount of data in the Enterprise Resource Planning (ERP) database, analyze characteristics of the collected data, and then compute the elapsed time on each stage in process control. The suggested system was able to perform what the traditional RFID-based process control systems failed to do, such as predicting and tracking of real time process and inventory control.