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As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backward-ness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the techni-cal bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimi-zation,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided. 相似文献
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随着软件定义网络(SDN)的快速发展,其在工业领域也逐渐成为一种新的网络构建模式用以取代传统的工业生产网络.本文探讨了利用软件定义工业网络等技术,实现制造单元边缘侧的数据快速采集、分析与传递,打通设备层与生产制造以及研发端的数字链路,建设工厂内网络化集成,以实现大型制造企业的生产车间在多项目管理、知识驱动下的快速设计以... 相似文献
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在智能制造生产模式下,自动化生产成为提高生产质量的关键,在本次研究中,将围绕重载工业机器人以及工业人工智能技术,详细阐述了自动化关键技术内容;同时阐述了基于智能制造自动化关键技术的保障技术手段,分别为云制造技术、物联网技术.从本文所介绍的技术要点来看,上述技术可以有效提升自动化生产水平,能够适应复杂条件下的生产工艺要求... 相似文献
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在智能制造背景下,离散制造企业对利用大数据技术提高车间生产管控水平提出了迫切的需求。研究大数据驱动的离散制造车间生产过程智能管控方法,在明确离散制造车间特点与管控需求的基础上,分析了传统方法的局限性和大数据方法的优势,进而提出大数据驱动的离散制造车间生产过程管控总体框架,以制造大数据的"采集-处理-分析-服务"为主线开展研究。在"进度预测-瓶颈发现-异常溯源-智能决策"的生产过程闭环管控机制中,分别提出:基于堆叠稀疏自编码机的生产进度在线预测技术,基于平行门控循环单元的生产瓶颈漂移发现技术,基于密度峰值-模糊C均值的生产异常溯源分析技术和基于多智能体强化学习的生产过程智能决策技术。最后,以某航空企业典型离散制造车间作为对象,对所提出的大数据分析与智能决策方法进行了原型系统开发和应用验证。 相似文献
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精密测量是先进制造发展的前提和基础,作为智能制造的眼睛,极大地提高了生产效率、降低了生产成本,直接推动了人类社会发展。在制造信息化大背景下,作为先进制造的先导技术,精密测量方法与仪器技术必须超前或在先进制造基础上提出新的发展趋势,为先进制造精密化、集成化、智能化发展提供信息支撑。概述了工业生产与科学研究中的现代精密测量技术发展现状和研究内容,着重叙述了应用于精密检测的最新技术、精密测量如何从实验室走向生产现场、精密测量技术的未来及发展方向。 相似文献
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为满足智能制造领域物联网当前发展的需求,研究了相应制造场景的5G应用技术。介绍了5G的关键技术,包括5G支持的应用场景、网络切片、网络功能虚拟化(NFV)/软件定义网络(SDN)、多接入边缘计算、设备对设备通信技术等;给出了基于扩展的信息物理系统5层框架,基于该框架分析了多个智能制造场景的5G应用(包括人机界面和生产信息技术、流程自动化、工厂自动化、物流和仓储、设备监控和维护等);给出了以上应用的5G边缘计算开发框架,以集成上述场景;探讨了5G应用于智能制造场景所面临的多个挑战,以助于5G使能智能制造的落地应用。 相似文献
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Qiong Liu Yong Jiang Shi 《The International Journal of Advanced Manufacturing Technology》2008,36(1-2):205-212
Industry has put forward demands on cross enterprises collaboration including various resources sharing. In order to meet
these demands, much has been done to realize cross-border collaboration. However, after analyzing the unique features of manufacturing
resources and the limits of existing technologies like Internet, EC, ASP and Web-based design/manufacturing, which adopt many
new Web technologies like Web mark-up languages, Web-based client–server programming tools and distributed object modeling
methods, it is concluded that all these technologies could not meet industrial demands on dynamic sharing of various resources.
Therefore grid manufacturing is put forward to meet these demands. According to the features of resources to be shared and
the technologies to be used, grid manufacturing distinguishes itself from Web-based manufacturing by providing the transient
services and by achieving the interoperability. The differences and relationship between grid manufacturing and grid computing
are yielded. At last, a Web service-based architecture of grid manufacturing is proposed and the related technologies are
summarized. 相似文献
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为了在此阶段满足人们的需求,必须改革传统的工业设计形式和生产流程。特别是近年来,机械制造业取得了一定的成就,正在促进我国工业的现代化。但是,仍有一些问题限制了机械制造业的智能化和自动化发展。尤其是在机械设计过程中,为了提高设计的质量和准确性,应重视新技术的应用,计算机设计是促进机械制造业可持续发展的关键技术之一。考虑到这一点,本文分析和探索机械和电子工程设计的技术要点,供相关人员参考。 相似文献
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Y. M. Hu R. S. Du S. Z. Yang 《The International Journal of Advanced Manufacturing Technology》2003,21(10-11):866-873
Nowadays, information is the most important factor for any manufacturing enterprise. Information helps a manufacturer to make decisions about management, production, operation, maintenance, and repair. Information technology is a key for enterprises who are realising integrated manufacturing all over the world. Data acquisition is the backbone of information technology. Data acquisition technology is the product of the fusion and interaction of many technologies. It is necessary to develop new data acquisition technology and methods by using the recently produced research results. It is also important for realising manufacturing automation, promoting product quality, and enhancing the competitive ability of an enterprise. In this paper, we first analyse three common kinds of data acquisition mode and their features used in manufacturing systems. Then, based on the background of manufacturing automation, agents and distributed artificial intelligent technology, which form a new data acquisition model framework suitable for an advanced manufacturing system, is proposed, and some details about this new model are discussed. Two examples of this model used in manufacturing systems are then given to show the availability and correctness of this model framework. We conclude with current research results in this area and give an outline of future work. 相似文献
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COVID-19 pandemic has accelerated the re-shaping of globalized manufacturing industry.Achieving a high level of resilience is thereby a recognized,essential ability of future manufacturing systems with the advances in smart manufacturing and Industry 4.0.In this work,a conceptual framework for resilient manufacturing strategy enabled by Industrial Internet is proposed.It is elaborated as a four-phase,closed-loop process that centered on proactive industry assessment.Key enabling technologies for the proposed framework are outlined in data acquisition and management,big data analysis,intelligent services,and others.Industrial Internet-enabled implementations in China in response to COVID-19 have then been reviewed and discussed from 3Rs'perspective,i.e.manufacturer capacity Recovery,supply chain Resilience and emergency Response.It is suggested that an industry-specific and comprehen-sive selection coordinated with the guiding policy and supporting regulations should be performed at the national,at least regional level. 相似文献
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针对云端智能制造与智慧服务系统应用中面临的大量异构制造设备资源感知接入困难、数据分析时延大等问题,分析探讨了面向边缘计算的制造资源感知接入特点、应用场景及接入模型构建方法;研究开发了边缘智能网关软件系统,设计了云边协同服务架构,实现了多种通信协议支持、数据采集分发、应用管理与安全防护等功能。分析了云边协同服务模式下边缘节点智能网关的重要作用与任务,结合复杂装备智能制造样板间生产线与虚拟工厂应用系统,实现了制造资源感知接入技术、边缘智能网关功能验证与应用示范。 相似文献
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针对基于浅层学习模型的过程监控方法难以对大数据制造过程运行状态进行实时智能监控的问题,提出了基于深度置信网络的大数据制造过程实时智能监控方法。利用灰度图建立大数据制造过程质量图谱,以精准表达其过程的运行状态;构建用于识别大数据制造过程质量图谱的深度置信网络;应用离线训练好的深度置信网络模型对当前监控窗口内的过程质量图谱进行识别,实现大数据制造过程实时智能监控。最后,应用该方法对某注塑件大数据制造过程进行实时质量智能监控,结果表明:所提方法的识别性能明显优于基于主成分分析与BP神经网络、支持向量机的识别模型,能有效应用于大数据制造过程实时质量智能监控。 相似文献
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介绍了广东省工业机器人及智能制造的有关政策优势,分析了我国尤其是广东省工业机器人及智能制造的产业现状,讨论了在广东省加快推动工业机器人及智能制造产业发展的紧迫性。 相似文献