安全监测系统接入全矿井综合自动化系统的方法

文章在简要介绍神华集团万利分公司万利一矿全矿井综合自动化系统构成、工业以太环网结构及安全监测系统构成的基础上,介绍了该矿安全监测系统通过工业以太环网接入全矿井综合自动化系统的方法,并分析了该接入方法为安全监测系统的工作及其信息的传输所带来的益处。     

矿井综合自动化系统在赵固一矿的应用

介绍了基于工业以太环网的全矿井综合自动化系统的网络结构及其在赵固一矿的应用情况,并对其应用中出现的一些问题进行了分析。实际应用表明,综合自动化系统的建成极大地提高了赵固一矿的矿井生产自动化和管理现代化水平,实现了全矿井系统实时数据和运行状态的远程实时监测、统一管理与数据共享。     

KJ95N型安全监测系统接入GEPON全矿井综合自动化系统的方法

介绍了GEPON全矿井综合自动化系统和KJ95N型安全监测系统的传统传输方式;结合靖远煤业集团有限责任公司大水头矿的实际使用情况,重点介绍了将KJ95N型安全监测系统接入到GEPON环网中的方法。通过GEPON将煤矿安全监测系统融入到全矿井综合自动化系统中,可以节省投资、便于管理,实现了信息共享,同时使全矿井综合自动化更具体完整。     

论使用WIFI节能巷道灯搭建煤矿井下可靠通信平台的优势

矿井自动化信息化离不开通信平台,可靠的通讯平台是矿井生产调度安全高效的技术保证.目前,矿井一般都建设了工业环网,基本上把固定安装的设备连接起来,极大促进了矿井自动化的发展.但是,井下还有很多移动设备、人员等的联网调度还没有得到彻底的解决,这些需要无线通讯手段才能把移动的人和物纳入到信息化自动化调度管理系统中来.目前最为标准、最通用、带宽最高的无线通信模式是WIFI通信,能否找到一个合适的方式来保证矿井下WIFI基站具有可靠的供电电源和不易损伤的联网光缆,是我们一直思考的问题.WIFI节能巷道灯完美地解决了基站布置和WIFI信号覆盖问题,巷道灯可靠的供电电源可有效保证无线WIFI信号的可靠,巷道顶部走线的方式大大降低了光缆容易被生产设备砸压、挂断的几率;同时利用信息化手段实现"人来灯亮、人走灯灭"效果,从而达到节能的目的.     

基于千兆无源光纤以太网的全矿井综合自动化系统

继推出基于工业以太环网的全矿井综合自动化系统，天地（常州）自动化股份有限公司又推出了基于千兆无源光纤以太网的全矿井综合自动化系统。较之基于工业以太环网的全矿井综合自动化系统，该系统的综合信息传输质量更高、实时性更好、树状组网结构适用性更强。     

钱家营煤矿矿井综合自动化系统的改造

针对钱家营矿综合自动化系统存在仅以信息集成为主、服务器配置落后、无法实现智能调度、集中监控等问题,提出了系统改造原则,详细阐述了系统环网、调控中心和软件平台的改造与实施。改造后系统在注重信息采集和处理的同时,也注重对信息进行综合处理及生产和安全自动化系统的联合监测监控,实现了矿井综合自动化系统的五融合。     

现代化矿井通信技术与系统

提出了由矿用有线调度通信系统、矿井移动通信系统、矿井广播通信系统和矿井救灾通信系统等组成的煤矿井下通信技术体系。提出矿用调度通信系统应采用矿用有线调度通信系统。提出全矿井移动通信系统宜采用WiFi、3G、4G等通信技术。提出矿井广播通信系统既可采用矿用有线调度通信系统远程供电广播技术,也可采用基于以太环网和无源光网络的IP通信技术。提出矿井救灾通信系统应采用无线多媒体通信技术,宜采用WiFi和MESH等通信技术。提出矿井移动通信系统应满足手机脱网通信、基站脱网通信、无线自组织网络、接入煤矿井下有线宽带传输平台等要求。指出在手机脱网通信、接入煤矿井下有线宽带传输平台、无线自组织网络、矿用无线摄像机、基站脱网通信、多功能矿井移动通信系统、矿井无线宽带传输等方面,WiFi优于WCDMA、CDMA2000和TD-SCDMA。提出多功能矿井移动通信系统和矿井无线宽带传输宜采用WiFi。     

基于光纤工业以太环网的矿井安全监控系统设计及应用

本文从基于光纤工业以太环网的煤矿生产安全预警系统方案出发,系统的介绍了预警系统的结构及优越性,并对整个监控系统在实际矿井工作中的应用做了简要介绍,以期通过分析介绍能为相关系统工作人提供参考建议,促进我国矿井安全监控系统的发展以及煤炭生产企业的发展。     

金家渠煤矿智能化建设探索与实践

介绍了金家渠煤矿智能化建设的现状：完成了万兆工业环网、4G无线通信系统、数据中心等智能化煤矿信息基础设施建设,实现了业务集中管控、系统应急联动、数据共享互联、部分生产子系统自动化控制。明确了金家渠煤矿智能化建设目标：2022年完成初级智能化煤矿建设,2025年完成中级智能化煤矿建设。分享了智能化建设经验：采用矿端私有云数据中心提升设备利用效率;采用万兆工业环网+4G无线网络满足智能化煤矿建设需要;以点及面,逐步凝聚必须开展智能化建设的思想共识。对人工智能(AI)图像识别、轨道运输智能化等相关智能化技术应用进行了探索。     

短讯

基于千兆无源光纤以太网的全矿井综合自动化系统继推出基于工业以太环网的全矿井综合自动化系统,天地(常州)自动化股份有限公司又推出了基于千兆无源光纤以太网的全矿井综合自动化系统。较之基于工业以太环网的全矿井综合自动化系统,该系统的综合信息传输质量更高、实时性更好、树状组网结构适用性更强。千兆无源光纤以太网一般由光纤网络终端、光纤网络适配器和无源光纤分配器等组成,在全矿井综合自动化系统中可用作为高速主干传输通道。该网络能保证信息交换的实时性及传输质量,适合视频、数据、语音等信息的综合传输,实现三网合一。千兆…     

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.