Unified Namespace (UNS): Next-Generation Data Fabric for IIoT

2023-09-20 01:08:04
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Illustration: © IoT For All

In the era of IoT, the Industrial Internet of Things (IIoT) has emerged as a game-changer for industrial operations. By connecting devices, machines, and systems, IIoT enables real-time monitoring, analysis, and control of industrial processes, improving efficiency, productivity, and safety.

However, the fragmented edge devices, heterogeneity, and complexity of traditional IIoT systems raise significant challenges in terms of interoperability, scalability, and security. The Unified Namespace (UNS) framework can address these challenges and provide several advantages for IIoT 4.0, including simplified data integration, improved data accessibility, and greater scalability.

What is Unified Namespace?

The definition of UNS remains arguable. From an automation perspective, UNS is a common naming convention that organizes devices, data points, and services based on their attributes, such as location, function, and type.

But, according to Walker Reynolds, UNS is not only a naming convention but an architecture that meets five requirements:

  • UNS is the semantic hierarchy structure of business data and events.
  • UNS is the hub that connects all smart devices and IT infrastructure.
  • UNS is the single source of truth for all data and information in business.
  • UNS is the foundation of future digital transformation.
  • UNS is where the current state of business lives, enabling real-time snapshots of business.

What is common to both perspectives is that UNS is an ontology communication layer that connects every other piece in the IIoT. It provides a shared data crossroads that enables communication and collaboration between different systems and stakeholders, regardless of their underlying technology or vendor.

This shared crossroads can lead to improved interoperability, scalability, and flexibility of IIoT systems, reduced integration costs, and faster time-to-market.

Another advantage of UNS in IIoT 4.0 is improved data management and analysis. By using a common naming convention, UNS enables data points to be easily identified, accessed, and analyzed across different systems and applications.

With a UNS architecture, everyone across the company can access every part of the data of any IIoT component, as long as they have security authorization.

Evolution of the UNS Architecture

The first UNS project was built by Walker Reynolds (President of Industrial 4.0 Solutions and winner of the 2015 Ignition by Inductive Automation Award) in 2005.

He is also the most important figure in advocating UNS. The project was built using dynamic data exchange (DDE) with Excel spreadsheets for a salt mining field. In the following year, the project was adapted to MQTT technology.

Initially, Walker planned to develop a data highway connecting all IIoT infrastructures. The data highway was responsible for acquiring the data from all stampers, and mining machines used in salt mines.

Maintainers would not have to drive down to the screen at the control booth to check human-machine interfaces (HMIs) or control panels in panel offices. With all operations unified in one namespace, users can monitor production environments without moving physically between plants and factories that are miles away.

In the following years, UNS continued to evolve and is today a basic concept in the IIoT.

How Unified Namespace Differs from Traditional IIoT Data Models

In Industry 3.0, there is typically an ERP or CRM system in control of the organization and the manufacturing plant.

It coordinates with a warehouse management system (WMS), taking production orders from operators and dispatch schedules, bills of materials (BOMs), and work orders down to the plant floor.

The manufacturing plant reports back to the central office and operators via spreadsheets. The data is not real-time, meaning it cannot accurately reflect the current business state.

EMQ Technologies Inc.

Another concern is that if the company decides to introduce new technologies like business intelligence (BI) or artificial intelligence and machine learning (AI/ML), these components usually require a comprehensive dataset, which cannot be based on one piece of a traditional IIoT 3.0 system. However, there is no easy way to create a unified dataset.

Additionally, an ERP system usually cannot connect to factory machinery directly. This leads to extremely complex infrastructure, referred to as a “data spaghetti.” This is exactly where UNS could shine: with different namespaces operating on the edge and cloud, they orchestrate with each other to form a UNS.

EMQ Technologies Inc.

The following diagram illustrates the different layers of a UNS:

EMQ Technologies Inc.

At the bottom of the stack is where your physical devices like HMI/PLC live, and also where data is generated. Each PLC/HMI, or even a tag with information inside, could be called a namespace, which pushes the readings and events to the data acquisition layer for supervisor control and monitoring. It is common to deploy an industrial gateway like Neuron at this layer for data collection.

The layer above data acquisition is the manufacturing execution layer (MES), which coordinates between ERP/CRM and the plant floor, converting sales orders into manufacturing schedules. The traditional ERP layer processes customer sales, plans manufacturing, manages inventory, checks finance payments, etc.

At the top is the Business intelligence Cloud used to manage the business layer.

Advantages of a Unified Namespace

There are several advantages to implementing a Unified Namespace in an organization:

  • Easy integration: Data producers and consumers in the IIoT environment are integrated simply by plugging them into the network. No specialized expertise or engineering work is needed to integrate data at each layer of your business, from the shop floor to the business layer.

  • Improved agility: UNS enables real-time access to the current state of data at any given time, making it possible to test, plan, and deliver faster and more predictably.

  • Scalability: Because data producers and consumers are integrated through a central hub, and not directly connected, it becomes possible to connect millions of nodes and enable seamless communication between them.

4 Types of UNS

There are four kinds of Unified Namespaces in terms, of different uses and methodologies.

#1: Functional Namespaces and OEE

Functional namespaces refer to the organization of devices and data points in an industrial network based on their function or purpose. This means that devices and data points are grouped based on the specific task they perform, rather than their physical location or network.

For example, in a manufacturing plant, devices, and data points related to the production process might be grouped in a functional namespace, while devices and data points related to maintenance might be grouped in a separate functional namespace.

Usually, functional namespaces are used to measure Overall Equipment Effectiveness (OEE), a metric used to measure the performance of manufacturing equipment. OEE is an important metric in lean manufacturing and continuous improvement initiatives. It takes into account three factors:

  • Availability: The amount of time the equipment is available for production.
  • Performance: The speed at which the equipment operates.
  • Quality: The percentage of products produced that meet the desired specifications.

By combining different data sources and context via a functional namespace, manufacturers can measure OEE, identify areas where equipment is underperforming, and take steps to improve efficiency and productivity.

#2: Informative Namespace

An informative namespace organizes devices and data points in an industrial network based on their informational content. This means that devices and data points are grouped based on the type of information they provide rather than their physical location or function.

For example, in a manufacturing plant, devices and data points related to temperature might be grouped in an informative namespace, while devices and data points related to pressure might be grouped in a separate informative namespace.

The purpose of an informative namespace is to make it easier to access and analyze data in an industrial network. By grouping devices and data points based on their informational content, it becomes easier to identify patterns and trends in the data and to make informed decisions based on that data.

Overall, an informative namespace can help to improve the efficiency and effectiveness of an industrial network by making it easier to access and analyze data, and to make informed decisions based on that data.

#3: Definitional Namespace

In the context of industrial networks and computer science, a definitional namespace organizes devices and data points based on their definitions or attributes. This means that devices and data points are grouped based on their characteristics, such as type, size, or function.

For example, in a manufacturing plant, devices and data points related to motors might be grouped in a definitional namespace, while devices and data points related to sensors might be grouped in a separate definitional namespace.

#4: Ad Hoc Namespace

An ad hoc namespace, on the other hand, is a temporary or informal way of organizing devices and data points. This might be used when a more formal namespace is not yet established or where devices and data points must be grouped quickly for a specific purpose.

For example, if a manufacturing plant experiences a sudden equipment failure, an ad hoc namespace might be created to group all the devices and data points related to that equipment to quickly diagnose and fix the problem.

UNS for IIoT

The UNS simplifies device communication and data management, as devices and data points only need to know the topic that the device or data they want to communicate with is publishing or subscribing to, rather than the exact location or network of the device or data.

In addition to simplifying device communication and data management, the Unified Namespace provides a way to integrate different systems and protocols in an industrial network. Organizing devices and data points into a hierarchical topic structure makes integrating different systems and protocols easier, as they can all communicate using the same naming convention.

Overall, the Unified Namespace is an important feature of IIoT that simplifies device communication, data management, and system integration. It allows for a more efficient and streamlined industrial network, leading to increased productivity, reduced downtime, and improved overall performance.

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  • Data Analytics
  • Industrial Internet of Things
  • Industry 4.0
  • Remote Management

  • Data Analytics
  • Industrial Internet of Things
  • Industry 4.0
  • Remote Management

参考译文
统一命名空间(UNS):工业物联网的下一代数据架构
图示:© IoT For All --> 在物联网时代,工业物联网(IIoT)已成为工业运营的变革性力量。通过连接设备、机器和系统,IIoT 能够实时监控、分析和控制工业流程,从而提高效率、生产力和安全性。然而,传统 IIoT 系统中碎片化的边缘设备、异构性和复杂性给互操作性、可扩展性和安全性带来了重大挑战。统一命名空间(UNS)框架可以应对这些挑战,并为 IIoT 4.0 提供多项优势,包括简化数据集成、提高数据可访问性以及增强可扩展性。什么是统一命名空间?关于 UNS 的定义仍然存在争论。从自动化角度来看,UNS 是一种通用的命名规范,它根据设备、数据点和服务的属性(如位置、功能和类型)来组织这些实体。但根据 Walker Reynolds 的观点,UNS 不仅仅是一种命名规范,更是一种满足五个要求的架构:UNS 是企业数据和事件的语义层次结构;UNS 是连接所有智能设备和 IT 基础架构的枢纽;UNS 是企业所有数据和信息的唯一权威来源;UNS 是未来数字化转型的基础;UNS 是企业当前状态的体现,能够提供企业实时快照。从这两个视角来看,UNS 是 IIoT 中连接所有其他部分的本体通信层。它提供了一个共享的数据交汇点,使不同系统和利益相关者能够进行通信与协作,而无需考虑其底层技术或供应商。这种共享交汇点有助于提高 IIoT 系统的互操作性、可扩展性和灵活性,降低集成成本并加快产品上市时间。在 IIoT 4.0 中,UNS 的另一个优势是改进的数据管理和分析。通过使用统一的命名规范,UNS 能够跨不同系统和应用轻松识别、访问和分析数据点。借助 UNS 架构,公司内的任何人都可以访问任何 IIoT 组件的各个数据部分,只要他们拥有安全授权。UNS 架构的演进 2005 年,Walker Reynolds(工业 4.0 解决方案的总裁和 2015 年 Inductive Automation 颁发的 Ignition 奖获得者)首次构建了 UNS 项目。他也是推动 UNS 最关键的人物之一。该项目最初使用动态数据交换(DDE)和 Excel 表格为盐矿现场开发。第二年,该项目被适配为 MQTT 技术。最初,Walker 计划开发一条连接所有 IIoT 基础架构的数据高速公路,用以从所有压机和盐矿中使用的采矿机器中获取数据。维护人员无需亲自到控制室的屏幕前检查人机界面(HMI)或控制面板。通过将所有操作统一在同一个命名空间中,用户可以在不物理移动工厂和工厂之间的情况下监控生产环境。在接下来的几年中,UNS 继续演进,并成为当今 IIoT 中的基本概念。统一命名空间与传统 IIoT 数据模型的差异 在工业 3.0 中,通常由 ERP 或 CRM 系统来控制整个公司和工厂。该系统与仓库管理系统(WMS)进行协调,接收来自操作员的生产订单、调度计划、物料清单(BOM)和工作指令,然后下传到车间。制造工厂通过电子表格向总部和操作员汇报数据。这些数据不是实时的,因此无法准确反映当前的企业状态。EMQ Technologies Inc. 另一个问题是,如果公司决定引入新的技术,如商业智能(BI)或人工智能和机器学习(AI/ML),这些组件通常需要一个完整的数据集,但传统的 IIoT 3.0 系统无法提供。然而,要创建一个统一的数据集并不容易。此外,ERP 系统通常无法直接连接工厂设备,这导致了极其复杂的基础设施,被称为“数据意大利面”。这正是 UNS 可以发挥优势的地方:在边缘和云中运行的不同命名空间彼此协作,形成一个统一的 UNS。EMQ Technologies Inc. 下图说明了统一命名空间的不同层级:EMQ Technologies Inc. 在架构的最底层是您的物理设备(如 HMI/PLC)以及数据的生成地。每个 PLC/HMI,甚至是包含信息的标签,都可以称为一个命名空间,它将读数和事件推送到数据采集层进行监控和管理。在这一层,通常部署如 Neuron 这样的工业网关进行数据采集。数据采集之上的层级是制造执行层(MES),它在 ERP/CRM 和车间之间进行协调,将销售订单转化为生产计划。传统的 ERP 层负责处理客户销售、规划生产、管理库存、检查财务支付等任务。在最顶层是用于管理业务层的商业智能云。统一命名空间的优势 在组织中实施统一命名空间有多个优势:易于集成:在 IIoT 环境中,数据的生产者和消费者只需连接到网络即可集成。无需专业知识或工程工作,即可在企业各个层级(从车间到业务层)集成数据。提高敏捷性:UNS 可以实时访问任何时间点的数据状态,使得测试、计划和交付更快且更可预测。可扩展性:由于数据生产者和消费者通过中央枢纽而非直接连接进行集成,因此可以连接数百万个节点并实现它们之间的无缝通信。四种统一命名空间 根据不同的用途和方法,统一命名空间可以分为四种类型。#1:功能命名空间与 OEE 功能命名空间是指根据工业网络中的设备和数据点的功能或用途进行组织。这意味着设备和数据点是根据它们执行的具体任务进行分组,而不是根据它们的物理位置或网络。例如,在制造工厂中,与生产过程相关的设备和数据点可能会被分组到一个功能命名空间中,而与维护相关的设备和数据点则会被分组到另一个功能命名空间中。通常,功能命名空间用于测量总体设备效率(OEE),即衡量制造设备性能的指标。OEE 是精益制造和持续改进计划中的重要指标。它考虑了三个因素:可用性:设备可用于生产的时长;性能:设备运行的速度;质量:生产出符合预期规格的产品的百分比。通过在功能命名空间中结合不同的数据来源和上下文,制造商可以测量 OEE,识别设备表现不佳的领域,并采取措施提高效率和生产力。#2:信息命名空间 信息命名空间根据工业网络中设备和数据点的信息内容进行组织。这意味着设备和数据点是根据它们提供信息的类型进行分组,而不是根据它们的物理位置或功能。例如,在制造工厂中,与温度相关的设备和数据点可能会被分组到一个信息命名空间中,而与压力相关的设备和数据点则会被分组到另一个信息命名空间中。信息命名空间的目的是使数据的访问和分析更加容易。通过根据信息内容对设备和数据点进行分组,可以更容易地识别数据中的模式和趋势,并基于这些数据做出明智的决策。总体而言,信息命名空间可以通过使数据更容易访问和分析,并基于数据做出明智的决策,从而提高工业网络的效率和效果。#3:定义命名空间 在工业网络和计算机科学的背景下,定义命名空间根据设备和数据点的定义或属性进行组织。这意味着设备和数据点是根据它们的特性(如类型、尺寸或功能)进行分组。例如,在制造工厂中,与电机相关的设备和数据点可能会被分组到一个定义命名空间中,而与传感器相关的设备和数据点则会被分组到另一个定义命名空间中。#4:临时命名空间 相反,临时命名空间是一种临时或非正式的组织方式。这可能用于尚未建立更正式命名空间的情况下,或者在需要快速将设备和数据点按特定目的分组时。例如,如果制造工厂突然发生设备故障,可能会创建一个临时命名空间,将所有与该设备相关的设备和数据点分组,以便快速诊断和解决问题。IIoT 中的统一命名空间 统一命名空间简化了设备通信和数据管理,因为设备和数据点只需要知道它要通信的设备或数据所发布的主题,而不需要知道该设备或数据的确切位置或网络。除了简化设备通信和数据管理,统一命名空间还提供了一种集成工业网络中不同系统和协议的方法。将设备和数据点组织成分层主题结构,使得集成不同的系统和协议变得更加容易,因为它们都可以使用相同的命名规范进行通信。总体而言,统一命名空间是 IIoT 的一个关键特性,它简化了设备通信、数据管理和系统集成。它使工业网络更加高效和流畅,从而提高生产力,减少停机时间,并改善整体性能。推文分享邮件 数据分析工业物联网工业 4.0 远程管理 --> 数据分析工业物联网工业 4.0 远程管理
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