基于红外光谱吸收原理的SF6浓度检测系统研究

介绍了基于红外激光吸收方法的SF6检测系统,讨论了系统的检测原理以及系统硬件和软件的实现方法l通过对不同气体浓度透过率的测量,反演出气体浓度与透过率的关系式,并且以此关系式为依据,实时测量SF6气体浓度;探测器探测到SF6的红外吸收信号,通过ADC将模拟信号转换成数字信号,单片机将采集到的数字信号进行处理显示并且通过RS485与上位机通讯;系统实现了自动化测量,方便快速.     

基于差分吸收检测技术的非色散红外SF6传感器

基于非色散红外吸收原理,以电调制红外光源、采样气室和双元红外探测器组成的红外传感模块为核心,利用差分吸收检测技术设计了一种小型化高性能的SF6气体传感器.利用标准气体进行浓度标定,拟合了SF6气体浓度与电压关系曲线,实现了对SF6气体浓度的准确检测.根据传感器检测误差随环境温度变化的规律,系统研究了温度补偿方法,有效提高了传感器在不同温度下的检测精度.实验结果表明,该传感器系统在环境温度10℃~40℃、气体浓度0~2500×10-6范围内的检测精度小于±50×10-6,分辨率为1×10-6,系统响应时间小于5 s,具有良好的重复性和稳定性.     

基于ZigBee的高压开关SF6气体泄漏监测系统设计

针对高压开关对SF6气体泄漏监测的需要,分析了现有监测技术存在的缺陷,提出了以ZigBee无线传感网络技术为基础的高压开关SF6气体泄漏监测新方法。采用红外吸收光谱检测原理,实现SF6气体浓度的精确测量,以CC2530单片机为控制处理核心,控制SF6气体浓度数据的采集、处理与传输,实现自组网无线浓度监测。文中介绍了系统架构、硬件方案和软件设计。     

电力系统智能化运维中GIS设备SF6气体泄漏检测方法研究

现有技术中的变电站GIS设备内SF6气体泄漏浓度较大,检测精度较低,本文设计了TMS+XD芯片提高巡视机器人性能,采用离子迁移法设计SF6检测技术,利用扫描窗口提供的SF6浓度分析离子波谱,更为精准地判断气体泄漏规律;采用差分能量检测(Differential Energy Detection DED)算法和概率学公式掌握SF6气体泄漏浓度,进而制定出最佳填充范围,增加变电站GIS设备的安全性。试验表明,本研究检测系统输出的SF6泄漏浓度为15.8mol/ml,检测精度为92.5%,SF6气体泄漏浓度少,检测精度高。     

基于光声光谱技术的SF_6气体检测系统方案研究

为了实现对SF6气体的检测,该文研究了一种基于光声光谱的SF6气体检测系统方案。首先,从理论上分析了该系统的基本检测原理。接着,对系统的组成进行描述。分析了SF6、CO2、H2O的红外吸收特性,并确定滤光片参数。在此基础上,选择宽带红外热辐射光源作为系统光源。设计了圆柱形共振光声池,并利用STM32嵌入式处理器实现对光声信号采集,以及SF6气体浓度计算。     

GIS开关室的环境智能监测系统的设计

本文提出了一种GIS开关室的环境智能监测系统的设计方法。该系统在线监测SF6和O2浓度,当SF6气体浓度超过标时,显示含量超标并语音报警,同时启动风机通风。该系统采用PSoC芯片进行检测模块的设计,使系统功耗降低,体积缩小,可靠性提高。     

基于LoRa与机器视觉的SF6密度表读数采集系统

SF6气体密度表是一种布置在变电站, 用来测量断路器灭弧介质SF6气体密度状态的指针式仪表. 为了解决传统指针式SF6气体密度表在变电站自动化管理中难以应用的问题, 本文提出了一种基于LoRa无线通信技术与机器视觉的变电站SF6气体密度表远程抄表系统, 并给出了该系统的总体设计、硬件设计和软件设计. 该设计能够以高效率、低功耗、低成本的方式实现对变电站指针式SF6气体密度表的远程自动化管理. 该系统功能清晰、布置便捷、易于扩展、维护成本低, 对于变电站自动化管理方面的应用具有非常重要的参考价值.     

基于超声法的微量SF_6泄漏检测

为实现对电力系统中设备内SF6气体泄漏监测,采用超声技术对其进行探测。通过微量气体浓度理论模型寻找出浓度与声速的相关特性,进一步建立单通道超声传感器检测模型,采用DFT数字相位计测相位差法求取声速,进而计算出SF6气体浓度。在研制的超声测量系统上进行SF6标准气体检测试验,该实验在设计的气体标定装置上进行,保证测量结果的可靠性。实验结果表明了该方法测量SF6气体泄漏的可行性,其精度可达μL/L水平,平均相对误差5%左右。     

一种便携式SF6气体质量分析仪设计

严格监测与管理气体绝缘封闭组合电器(GIS,gas insulated switchgear)设备中SF6(六氟化硫)气体质量是保证GIS设备安全运行的重要保障.为对SF6气体质量实施监测,设计了一个基于STM32的便携式SF6气体质量分析仪.该仪表采用红外光谱吸收原理检测SF6浓度,以电阻电容法测量微水含量,用电化学原理检测SO2、H2S和CO含量.为提高系统可靠性和满足实时性及多任务调度,移植了μC/OS-Ⅱ操作系统.实验测试了仪表的准确性和重复性.实践证明,该仪表可以完成SF6气体质量分析,为GIS设备安全运行提供了可靠的保障.     

SF6绝缘电气设备分解产物在线监测系统研制与应用

针对SF6绝缘电气设备运行和维护中存在的问题,在对SF6绝缘电气设备异常状态下气体分解产物分析的基础上,提出了SF6绝缘电气设备分解产物在线监测方法,研制了SF6绝缘电气设备分解产物在线监测系统,实时监测SF6纯度及SO2含量,实现了SF6绝缘电气设备健康状况远程监测功能。系统试验和应用证明,该在线监测系统测量精度能够很好的满足SF6绝缘电气设备分解产物在线监测的需求。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。