Ruckus亚太区副总裁区国梁:企业网和运营商Wi-Fi并进

在国家两化融合政策的推动下,我国制造业、能源、交通等行业信息化步伐加快。另一方面,物联网和视频应用日益扩张,但3G的覆盖不足和高成本建设,使Wi-Fi需求猛增。无论是运营商还是企业,对Wi-Fi的免费模式、灵活部署青睐有加,但与运营商网络不同,企业网在差异化服务、易管理易维护等方面提出了特别的需求。     

基于物联网技术的企业信息化管理研究

将物联网技术应用到企业的信息化管理中,有利于提升企业的经济效益和社会效益。物联网技术的应用在实现企业经济效益最大化方面有着积极的作用。因此,以物联网技术概述为切入点,对物联网技术在企业信息化管理中的应用、基于物联网技术的企业信息化管理平台构建进行深入分析,并以某药品企业为例,挖掘企业信息化管理中应用物联网技术的作用,以供参考。     

物联网在电子商务中的应用

作为在未来可能会成为下一个万亿级的通信业务的物联网,已经引起世界上诸多国家和企业的重视。文章从物联网的概念出发,从物流服务质量的提升、完善产品质量监控、改善供应链管理等3个方面阐述了物联网在电子商务中的应用。     

利用FTP技术实现ERP与生产设备集成方法的研究

机械加工制造业进行生产经营活动时,普遍借助ERP系统进行生产过程的管理与控制,但是,在长期的应用中,ERP系统与机加机床集成度不高,存在数据孤岛和管理间断的问题,需研究借助物联网技术和信息化管理方法,给出企业信息化管理中生产过程闭环控制的解决方案,即ERP系统与生产数控系统集成,并能够实现系统间数据通信,以提升生产制造企业的信息化建设水平,推进企业两化融合建设,文章对此进行了研究。     

智慧物流管理中的物联网应用分析

本文以智慧物流管理为主要研究对象,首先介绍了我国目前正在大力推动智慧城市建设背景下对物联网概念、特征以及其与传统供应链各要素之间的关系进行分析,并在此基础上指出当前我国所面临的问题和挑战;然后通过对智慧物流管理中的物联网技术进行分析,指出了该技术存在信息安全、智能化物流服务以及数据融合三个方面问题;最后提出我国需要使用什么样的方法和途径来实现物联网,即在哪些地方应用更少或不适用等。     

物联网技术在煤炭企业信息化管理中的应用

分别从射频识别技术和无线传输技术两个方面在对物联网关键技术节点进行论述的基础上,结合煤炭企业信息化管理的实际需要,有针对性地对物联网技术在煤炭企业设备实际运行与人员的实时信息化管理、生产设备的远程维护以及煤炭的安全生产监控等三个方面的应用进行了详细探讨。     

物联网在高校信息化发展中的应用

物联网技术日臻成熟,在高校中的应用也越来越备受关注.本文从介绍物联网的概念谈起,介绍了高校信息化建设背景下的物联网技术应用,并几句物联网技术在高校信息化中的,智能教学,教育管理和平安校园等方面进行了较为详细的分析.     

基于物联网技术的消防安全系统的设计

物联网因其巨大的应用背景而引起广泛的关注,它在消防安全方面的应用也愈来愈引起大家关注;本文设计了一个在设施管理、现场监控、消防部署等方面均采用物联网技术的消防安全系统,并详细分析其各个模块,最终给出相关应用案例。     

大数据背景下物联网应用探析

大数据背景下,物联网的出现和快速发展成为业界关注的焦点。大数据、物联网的应用甚至远远超过人们预期,在生产生活的各个领域重新塑造着社会。在当下和将来,大数据支持下的物联网正在、将要在那些方面改变我们周围的世界是本文探讨的中心话题。     

浅析计算机网络与物联网的关系

在经济全球化的大背景下,物联网成为信息技术时代的一个重要标志。物联网使得21世纪的社会发展更方便、更快捷、更广阔。本文简要论述了物联网的概念,从物联网感知层、物联网传送层和物联网应用层三个方面探讨了物联网对当代计算机通信网络的影响。     

Benchmarking semiconductor manufacturing

We are studying the manufacturing performance of semiconductor wafer fabrication plants in the US, Asia, and Europe. There are great similarities in production equipment, manufacturing processes, and products produced at these plants. Nevertheless, data reported here show that important quantitative measures of productivity vary by factors of 3 to as much as 5 across an international sample of 16 plants. We conducted on-site interviews with manufacturing personnel to better understand reasons for the observed wide variations in productivity. We have identified factors in the areas of information systems, organizational practices, process and technology improvements, and production control that correlate strongly with productivity     

Intelligent SOP manufacturing

Microsystems packaging is fundamentally dependent on the manufacture of microelectronic, photonic, radio frequency (RF), and MEMS devices. The system-on-package (SOP) approach has been identified as a key strategy for integrating these strategic packaging technologies. Because of rising costs, the challenge before SOP manufacturers is to offset capital investment with greater automation and technological innovation in the fabrication process. To reduce manufacturing cost, several important subtasks have emerged, including increasing fabrication yield, reducing product cycle time, maintaining consistent levels of product quality and performance, and improving the reliability of processing equipment. Because of the large number of steps involved, maintaining product quality in an SOP manufacturing facility requires the control of hundreds of process variables. The interdependent issues of high yield, high quality, and low cycle time are addressed by the ongoing development of several critical capabilities in state-of-the-art computer-integrated manufacturing (CIM) systems: in situ process monitoring, process/equipment modeling, real-time process control, and equipment diagnosis. Recently, the use of computational intelligence in various manufacturing applications has increased, and the SOP manufacturing arena is no exception to this trend. Artificial neural networks, genetic algorithms (GAs), and other techniques have emerged as powerful tools for assisting CIM systems in performing various process monitoring, modeling, and control functions. This paper reviews current research in these areas, as well as the potential for deployment of these capabilities in state-of-the-art SOP manufacturing facilities.     

绿色制造技术在机械制造领域的应用分析

当前的绿色制造技术在生态工业以及社会的制造业中的应用是十分广泛而全面的。这种绿色制造和生产工业需要在整个创作环节中考虑其作品的整体生命周期,并且也要十分注重把这类产品在其生命周期里对环境负影响降到最低,可以最大化地利用现有的资金和材料,不会造成浪费。众所周知,制造领域一直是我国得以持续性发展的重要命脉,并且也会对我国的经济发展以及科技创新造成直接的影响。文章正是基于对当前绿色制造技术概念分析,以及对机械制造领域的深入探究,进而提供一些关于绿色制造技术在机械制造领域的应用分析,以期能够为相关的技术人员提供一定的借鉴与帮助。     

Coordination mechanisms for multi-agent manufacturing systems:applications to integrated manufacturing scheduling

The advent of information technology (IT) has made today's manufacturing systems increasingly distributed. Typically such a system consists of a complex array of computer-based decision units, controllers and databases. Rather than dealing with each component individually, it is necessary to have a new paradigm for management of manufacturing systems, so that all the components and their operations can be managed in an integrated fashion. The multi-agent framework presented in this paper is such a paradigm for achieving system integration. The authors specifically emphasize the coordination mechanisms needed for ensuring the orderly operations and concerted decision making among the components-i.e., agents-of the manufacturing systems. The application of the framework to a printed circuit board manufacturing system and the performance results are also described     

国外制造业携生产、采购与研发向中国转移

种种迹象表明，海外制造业向我国加速转移过程出现了新的变化，目前已不仅仅是生产设备的转移，而是包括采购、研发等在内的一体化转移。     

Does manufacturing matter?

This publication contains reprint articles for which IEEE does not hold copyright. You may purchase this article from the Ask*IEEE Document Delivery Service at http://www.ieee.org/services/askieee/     

Networking for computer-integrated manufacturing

The concept of a CIM (computer-integrated manufacturing) networking architecture for integration of factory and office communications is introduced. Some potential problems in CIM networking and approaches for their solution are elucidated. A simulation methodology is presented for evaluating the performance of integrated networks with different protocols and architectures and under diverse operating conditions     

Micromachined microsensors for manufacturing

The rapid development of microelectromechanical systems (MEMS) technologies in recent years has provided a high degree of spatial miniaturization and integration of electromechanical components, which enable integrated sensing and control in manufacturing. This article provides an overview of the state of the art of micromachined microsensors for the measurement of mechanical signals in the manufacturing industry for automobiles, manufacturing, medical equipment, environment, robotics, food, and other consumer products. Measurements of pressure, acceleration, and acoustic emission (AE) are the three physical quantities that are most encountered in industrial and manufacturing applications. Discussed are the major design parameters of such microsensors, such as dynamic range, sensitivity, resolution, and accuracy and provide a real-world application. Also discussed are the issues related to the spatial integration of signal processing, power supply, and wireless communication with the sensing elements, which are of direct relevance to the overall performance of the microsensors.