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时间:2019-06-27 02:36来源:互联网
在GE提出工业互联网的概念之后,为了实现自身的战略意图,GE联合了IBM、Cisco、Inteland AT VP Product Strategy and Alliances,iBaset "本译文仅供个人研习、欣赏语言之用,谢绝任何转载及用于任何

在GE提出工业互联网的概念之后,为了实现自身的战略意图,GE联合了IBM、Cisco、Intel and AT&T信息通讯业的巨头,成立了世界上推广工业互联网的最大组织Industrial Internet Consortium,缩写为IIC,其官网地址为

试翻美国IndustryWeek上关于智能制造的一段介绍文章,自学与分享。
Tag: 工业4.0、物联网、智能制造

1. 顶级机构和重要发布

  1. 德国工业4.0平台

发布:《Reference Architecture Model Industrie 4.0(RAMI4.0)》

  1. 美国工业互联网联盟(IIC)

发布:

  1. 《IIC Reference Architecture(IIRA)》
  2. 2016年11月15日《工业物联网业务战略及创新框架》
  1. 日本工业价值链促进会(Industrial Value Chain Initiative,IVI)

    组成:由制造业企业、设备厂商、系统集成企业等发起的组织
    发布:《工业价值链参考架构(Industrial Value Chain Reference Architecture ,IVRA)1》 2

  2. GE

产品:Predix predix service、 2 、UI 、 White Paper

  1. 西门子 /PLC

产品:Sinalytics、MindSphere

  1. Gartner

发布:
2015年 5月 Drive Customer Engagement With Advanced Analytics
2016年 5月 Build a Blueprint for the Internet of Things
2016年10月 Harness IoT Innovation to Generate Business Value

  1. TechTarget
  2. Open Group

发布: github

  1. Cloud Foundry

  2. IBM

发布:IBM与中国电子信息产业发展研究院于2015年10月《中国制造业走向2025》

  1. Cisco

  2. PWC咨询公司

    发布:
    2016年5月 《工业物联网报告》
    2016年8月 《科技突破大趋势》

  3. Honeywell

发布:IIoT-Process-Reliability-Whitepaper-2017

  1. 美国PTC公司

发布:《 美国PTC陈继忠:工业物联网的业务驱动》
2016年11月15日推出的《工业物联网业务战略及创新框架》

  1. 菲尼克斯

产品:ProfiCloud

  1. IoT Analytics

  2. SAP

  3. 高德纳公司

  4. 中国工信部电信研究院

  5. 德勤

发布 从“后知后觉”到“先见之明”释放物联网工业领域价值

  1. IDC

  2. IHS

IIC的宣言

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1. 工具与平台

非常有意思的是,在IIC官网中,IIC由我们理所当然认为是一个推广工业互联网的组织,却不动声色地变成了一个推广工业物联网Industrial IoT的组织。

在70和80年代,我们观察到了制造业的一波生产率改进浪潮。新科技,包括个人电脑PC,数控机器,PLC和计算机辅助制造,结合了最新的流程改进方法,比如TQM全员质量管理,Just-In-Time准时化和六西格玛方法论,在多个产业带来了生产率和效率的巨大提升。

1. 工业物联网龙头企业

其官方英文介绍如下:

如今,我们一样看到了新科技结合流程改进方法会带来潜在的彻底改变,这会改善制造厂商们在整个产品价值链中如何融入流程和系统的方法,从而给客户带来更多选择和全新的服务类型。

1. 检索内容
  1. 企业名称
  2. 产品与服务
  3. 优势
  4. 营业额

The Industrial Internet Consortium, nowincorporating OpenFog, was founded in March 2014 to bring together theorganizations and technologies necessary to accelerate the growth of theIndustrial Internet by identifying, assembling and promoting best practices.Membership includes small and large technology innovators, vertical marketleaders, researchers, universities and government organizations.

一些组织致力于把制造厂商、科技和信息化系统带到一起,这些组织包括制造企业系统协会(MESA),工业互联网联盟(IIC)和智能制造领导联盟(SMLC),他们正通过IIoT物联网和智能制造来协调这些新技术的整合,从而更快的把流程改进落地。

2. 检索方法
  1. 关键字:行业排名、营业额、占有量、行业报告、协会、第二届中国制造2025(深圳)高峰论坛、美国工业互联网联盟

The Industrial Internet Consortium® and the OpenFog Consortium® have come together to become the largestand most influential international consortia in Industrial IoT, fog and edge computing. The organizations will worktogether under the IIC umbrella to drive the momentum of the industrialinternet, including the development and promotion of industry guidance and bestpractices for fog and edge computing.

智能制造倡议会带来制造业商业策略的革新,把传统工厂从成本中心变成可盈利的创新中心,通过工业自动化,IIoT和IT的整合,其中包含了云服务、3D建模、移动计算、智能和统一平台等。

3. 检索内容
  1. 百度天工
  2. 深圳市智物联网络有限公司
  3. KONUX
  4. 深圳市英威腾电气股份有限公司
  5. TE
  6. 阿里云新制造
  7. 北京英物智联科技有限公司
  8. 智中科技
  9. 北京智云奇点科技有限公司
  10. www.3559.com 2

About Us The Industrial Internet Consortium, now incorporating OpenFog, is theworld's leading organization transforming business and society by acceleratingthe Industrial Internet of Things . Our mission is to deliver a trustworthyIIoT in which the world's systems and devices are securely connected andcontrolled to deliver transformational outcomes.

智能制造会通过信息化、及时化(越接近实时越好)和深入的决策执行从而给制造企业带来主动型管理。智能制造倡议包含了下列目标:

是作者看错了吗?真的没有!听其言,更要观其行。我们看看IIC做什么,来进一步确认。

- 有能力从设备接收公开数据,利用安全的开放标准,分析积累数据,并且在企业和相连的价值链上的设备,记录系统以及过程工作流提供过程控制。

IIC工业互联网参考架构

- 对于设备、机器和工厂级的自主和分布式决策支持。

在IIC参考架构的工作中,又一次得到了证实:

对产品价值链挖掘数据的普遍应用,包括对任何一条生产线的点对点的价值链的可视化,把制造厂商、顾客和供应商网络连在一起。

通过从智能制造设备和流程中的大量原数据的处理,从而提高基于数据和分析的决策能力。

The IIRA is a standards-based architecturaltemplate and methodology designed by a broad spectrum of IIC members, includingsystem and software architects, business experts, and security experts, toassist IIoT system architects to design IIoT solution architecturesconsistently and to deploy interoperable IIoT systems.

- 更高效支持新服务和商业模式,包括大规模定制和产品即服务模式。

这些最新的功能会给所有不同类型、不同产业的制造商们带来广阔前景和市场,价格合理并且方便实现。

This technical report describes theIndustrial Internet Reference Architecture for Industrial Internet ofThings systems.

On the Journey to a Smart Manufacturing Revolution

In the 1970s and 80s, we witnessed a revolutionary wave of productivity improvements in manufacturing. New technologies, including personal computers (PCs), numerically controlled (NC) machines, programmable logic controllers (PLCs), and computer-aided manufacturing (CAM), combined with new process improvement ideas like Total Quality Management (TQM), Just-In-Time, and Six Sigma yielded great new levels of productivity and efficiency in many manufacturing industries.

Now, in this decade, we are seeing a similar convergence of technologies and process improvement initiatives with the potential to radically improve the way manufacturers thread processes and systems in the entire product value chain in order to deliver more options and new service models to customers.

Several organizations that bring together manufacturers, technologies and information systems, organizations like MESA (Manufacturing Enterprise Systems Association), the Industrial Internet Consortium (IIC), and the Smart Manufacturing Leadership Coalition (SMLC), are working on initiatives including the Industrial Internet of Things (IIoT) and Smart Manufacturing to coordinate this convergence of technologies and realize the process improvement potential sooner rather than later.

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Smart Manufacturing is an initiative to bring about a revolution in manufacturing business strategy, turning traditional factories from cost centers into profitable innovation centers, through the integration of industrial automation, IIoT, and information technology (IT) including cloud services, 3D models, mobile computing, intelligence, and integration platforms.

Smart Manufacturing will enable proactive management of the manufacturing enterprise through informed, timely (as close to real-time as possible), in-depth decision execution. Smart Manufacturing initiatives share the following goals:

• Ability to receive published data from equipment using secure open standards, analyze and aggregate the data, and trigger process controls back to equipment, systems of record and process workflows across the enterprise and value chain connected via A2A and B2B open standards.

• Autonomous and distributed decision support at the device, machine and factory level.

• Ubiquitous use of mined information throughout the product value chain including end-to-end value chain visibility for each product line connecting manufacturer to customers and supplier network.

• Enhanced information- and analytics-based decision making on large amounts of raw data gathered from the smart manufacturing equipment and processes.

• New levels of efficiency to support new services and business models including mass customization (highly configured products) and product-as-a-service.

• Provide a broad portfolio of these advanced capabilities to manufacturers of all sizes and in all industry sectors, at acceptable levels of cost and implementation complexity.


原文可见:
作者:Conrad Leiva; VP Product Strategy and Alliances, iBaset

"本译文仅供个人研习、欣赏语言之用,谢绝任何转载及用于任何商业用途。本译文所涉法律后果均由本人承担。本人同意简书平台在接获有关著作权人的通知后,删除文章。"

在The Industrial Internet of ThingsVolume G1: Reference Architecture

IIC:PUB:G1:V1.80:20170131中给出了定义一个工业互联网系统的四个角度

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