电力通信设备集中监控告警系统的实现

根据实际情况选择对应硬件,选择CM-Desk平台作为软件平台开发电力通信设备集中告警系统.谊系统采集各种通信设备告警信息以及机房环境运行信息并进行集中管理,并将一定等级的告警及时通知相关人员,实现了通信管理的前移.     

模糊证据推理下的智能变电站运行态势异常实时在线告警仿真

智能变电站典型场景动态联动过程中，运行态势细节特征单一且冗余量大，为及时发现运行态势异常，提出模糊证据推理下智能变电站运行态势异常实时在线告警方法。利用模糊证据推理每种特征向量下隶属度值，归一化处理，获得整个所有隶属度值，依据判决准则对告警样本实施时间化处理，缩小告警范围，挖掘运行态势异常特征，预测出智能变电站可能发生的异常运行态势和故障，凭借Tdengine电力运维平台自动发出告警。实验结果表明，所提方法的运行态势异常识别率高、态势分析耗时短、加入噪声后的告警时延短。明确各个设备间的关联性，当其中一个环节出现问题，及时发出告警信息，避免产生连锁问题。     

CloudStack云平台异常运行告警系统设计与实现

传统系统存在告警效果差的问题,为了避免该问题,提出了CloudStack云平台异常运行告警系统设计与实现。体系结构中的基础设施层是通过CloudStack云平台创建多个虚拟机的,服务层是以C8051F0403型号芯片为信息采集器来采集异常信息的,核心服务层以ARM7TDMI内核微处理器为主,设计监控终端硬件结构,结合全球通GSM短信收发,监控异常运行状态,通过用户接口层为系统提供告警信息。对告警客户端进行功能设计,通过规定的文件格式,计算信息发送和匹配程度,实现异常运行告警系统设计。由测试结果可知,该系统告警精准度最高可达98%,为用户信息安全传输提供保障。     

基于数据挖掘的网管告警处理方法研究

为了方便电力行业网管人员能够快速的从这些告警中找到有用信息,迅速的定位设备故障。本文设计了由接口告警采集、故障处理系统、告警相关性分析模块等构成处理框架。采用过滤告警、补全缺值数据、去重等方式进行数据预处理。通过告警发现和相关性分析机制实现告警的匹配和识别,利用基于关联规则的方法对告警信息挖掘。采用本文设计的方法,能够有效的实现网管系统的告警信息的挖掘分析,提高网管的效率。     

基于SMTP协议的嵌入式邮件通知软件

为了实时监测运行在户外恶劣环境中的嵌入式设备的运行状态信息,本文设计并实现了基于SMTP协议的嵌入式邮件通知软件.邮件通知软件是运行在带有GPRS网络的嵌入式设备上,邮件通知软件首先检测并获得设备的相关告警信息,生成指定格式的邮件内容和邮件标题,然后在设备与邮件代理服务器之间通过GPRS网络建立TCP连接,按照SMTP协议的语法结构发送告警信息邮件给指定邮件代理服务器.最后设计了相关实验来测试邮件通知软件检测设备告警信息和发送告警邮件的可靠性.实验结果表明基于SMTP协议的嵌入式邮件通知软件能够满足实际运行环境的要求,同时软件具有较好的可靠性和稳定性.     

基于知识图谱和因果算法的告警根因定位方法研究

随着社会的发展，网络建设的拓扑结构越来越庞大且繁杂，当系统某一设备发生故障时，会导致相关设备在短时间内衍生出大量告警，这就导致运维人员难以在短时间内找到根本原因并解决，此时会导致整个网络部分或整体功能不可用。近年来，关于研究如何压缩告警信息并快速定位链路根因的方法越来越多，目前使用较多的方法是对大量的告警信息进行聚类收敛处理，从而减少最终需要解析的告警信息，这样的方法虽然减轻了运维人员部分工作量，但是告警的数据量对于人工定位来说依然较多，且收敛出的告警信息缺乏可解释性，对于定位设备及故障帮助有限。本文给出一种基于知识图谱和因果算法的告警根因定位方法，利用设备拓扑关系以及告警因果关系，给出告警发生的链路并定位出根因告警及设备，有效提升运维人员的工作效率。     

变电站智能视频系统研究

变电站智能视频系统接收自动化系统的报警事项,自动调用与该事项关联的视频,对处理变电站运行故障提供可视化的辅助,并能对各种自动化系统的运行工况进行集中监视,对电力系统出现的运行异常情况:如设备故障、程序异常、通讯中断、数据异常等自动产生告警,通过GSM短信、电话语音、音响等多种告警方式通知相应的值班人员,配合在监视界面上弹出对各种异常情况的处理预案,让运维人员及时应对处理,保证自动化系统的可靠运行。     

一种改进的多源异构告警聚合方案

各类网络安全防御设备产生的大量冗余告警信息非常琐碎、误警率高, 给告警的分析和理解造成较大困难。针对这一问题进行研究, 提出一种改进的多源异构告警数据的聚合方案, 综合分析告警类型、源IP、目的IP、目的端口及时间间隔几个属性, 总结出四个规则, 并在聚合过程中动态更新时间间隔阈值, 提高聚合精确度。实验结果表明, 这种方法能高效减少异构告警信息的数量, 得到精简的超告警数据, 并实现了实时处理告警信息的能力。     

多云平台监控体系的研究与设计

企业数字化转型的浪潮中,全国各地政府和企业投入大量的精力和资金建设云平台,考虑到安全、成本和稳定等各方面因素,很多企业采用了混合云建设策略,但是这种混合云架构在监控方面存在着平台组件监控覆盖度低,监控覆盖范围不全,告警信息不统一、可读性差以及告警通知不及时甚至缺失等问题,为平台的运维和运营带来极大的困难,无法全方位掌控故障告警以及全网云平台的运行情况。针对混合云监控的痛点,开展多云平台监控体系的研究与设计,实现混合云平台的统一纳管,集中监控和统一告警。     

一种改进型FNG状态机的研究及实现

为了提高网络故障管理系统的效率,结合原有CFM技术,采用特殊故障屏蔽机制和告警优先级别机制相结合的综合性告警管理策略的FNG状态机,其设置了故障生命期限和故障再现期限值,增加了打印告警信息前的告警优先级别判断。在运行时,杜绝了用户界面的刷屏现象并能打印出三种级别的告警信息。测试结果表明,改进型FNG状态机可以突显高级别告警,单次显示重复性故障的告警,不显示短暂性故障的告警,从而减少了网络管理员定位故障的劳动量,提高了工作效率。     

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。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.