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The Industry IoT Consortium (IIC) (previously the Industrial Internet Consortium) is an open-member organization and a program of the Object Management Group (OMG). Founded by AT&T, Cisco, General Electric, IBM, and Intel in March 2014, with the stated goal "to deliver transformative business value to industry, organizations, and society by accelerating the adoption of a trustworthy internet of things" [1] .
As of February 12, 2024, the IIC contains 224 member organizations [2] . The current executive director of the IIC is Richard Soley, [3] and the current Chief Technical Officer is Stephen J. Mellor. [4]
Abbreviation | IIC |
---|---|
Formation | 2014 |
Type | Technology |
Headquarters | Boston, Massachusetts |
Region served | Global |
Membership | 159 member organizations |
Parent organization | Object Management Group |
Website | www |
The Industry IoT Consortium (IIC) was founded on March 27, 2014 by AT&T, Cisco, General Electric, IBM, and Intel. Though its parent company is the Object Management Group, the IIC is not a standards organization. [5] Rather, the consortium was formed with the stated goal to bring together industry professionals to promote the development and adoption of Industrial Internet technologies. [6]
Specifically, IIC members are concerned with "delivering transformative business value to industry, organizations, and society by accelerating the adoption of a trustworthy internet of things" [7] . The IIC Technology Working Group ratified an Industrial Internet reference architecture on June 17, 2015, which defines functional areas, technologies, and standards for IIC members, including sensors, data analytics, and business applications. [8]
The development of testbeds to demonstrate the real-world implementation of Industrial Internet solutions is one of the goals of the IIC [9] . As of February 2024, the Consortium has publicly announced 27 testbeds [9] .
The goal of the Track and Trace testbed is to manage handheld power tools in manufacturing and maintenance environments. This "management" involves efficiently tracking and tracing the usage of these tools to ensure their proper use, prevent their misuse and collect data on their usage and status.
The tools in Track and Trace determine their own precise location and use and, therefore, will be able to determine the force and work needed to complete an exacting task. In addition, if a tool recognizes that it is being misused, it will promptly power down to avoid accident or injury. Over the two-year project, the testbed participants fine-tuned localization of tools to 30 centimeters, with the goal to get accuracy down to five centimeters at some point in the future. Near the start of the project, the accuracy was approximately one meter. These features of Track and Trace have been created with the goal of contributing to the safety and quality of the goods produced, as well as increasing productivity in manufacturing.
Over the two-year project, four Industrial Internet Consortium members lent their expertise to the testbed. Bosch supplied the necessary software; Cisco took care of the precision location identification feature; National Instruments interconnected the power tools; and Tech Mahindra was responsible for the application programming. [10]
Many industries have assets that are critical to their business processes. Availability and efficiency of these assets directly impact service and business. Using predictive analytics, the Asset Efficiency Testbed aims to collect real-time asset information efficiently and accurately and run analytics to make the right decisions in terms of operations, maintenance, overhaul and asset replacement. Infosys, a member of the Industrial Internet Consortium, is leading this project, with contribution from Consortium members Bosch, General Electric, IBM, Intel, National Instruments, and PTC.
Asset Efficiency is a vertical testbed, making it possible for the testbed to be applied to multiple solutions. The testbed will launch in two phases. In the first phase, the testbed will be created for a moving solution, in this case, aircraft landing gear. The focus of this phase will be on the creation of stack and the integration of technologies. In the second phase, the testbed will address fixed assets, like chillers, with the goals of finalizing the architecture and opening up the interfaces.
The Asset Efficiency Testbed monitors, controls and optimizes the assets holistically taking into consideration operational, energy, maintenance, service, and information efficiency and enhance their performance utilization. [11]
Many emerging industrial IoT applications require coordinated, real-time analytics at the "edge", using algorithms that require a scale of computation and data volume/velocity previously seen only in the data center. Frequently, the networks connecting these machines do not provide sufficient capability, bandwidth, reliability, or cost structure to enable analytics-based control or coordination algorithms to run in a separate location from the machines.
Industrial Internet Consortium members Hewlett-Packard and Real-Time Innovation have joined on the Edge Intelligence Testbed. The primary objective of the Edge Intelligence Testbed is to significantly accelerate the development of edge architectures and algorithms by removing the barriers that many developers face, such as access to a wide variety of advanced compute hardware and software configurable to directly resemble state-of-the-art edge systems at very low cost to the tester/developer. [12]
The Factory Operations Visibility & Intelligence (FOVI) Testbed makes it possible to simulate a factory environment in order to visualize results that can then be used to determine how the process can be optimized. The work on FOVI stems from two separate Operations Visibility and Intelligence applications in two factories in Japan: one for notebook computers and another for network appliances. Both use cases have a lot in common with respect to processing data, analytics, and visualization technologies. Ideally they should use a common software foundation while their future evolution requires a more open architecture.
Work on the testbed will be led by Industrial Internet Consortium member Fujitsu Limited with Industrial Internet Consortium founding member, Cisco, collaborating on the in-factory testbed edge infrastructure. [13]
The High-Speed Network Infrastructure testbed will introduce high-speed fiber optic lines to support Industrial Internet initiatives. The network will transfer data at 100 gigabits per second to support seamless machine-2-machines communications and data transfer across connected control systems, big infrastructure products, and manufacturing plants.
The 100 gigabit capability extends to the wireless edge, allowing the testbed leaders to provide more data and analytical results to mobile users through advanced communication techniques. Industrial Internet Consortium founder, General Electric, is leading efforts by installing the networking lines at its Global Research Center. Cisco - also a founder of the Consortium - contributed its expertise to the project by providing the infrastructure needed to give the network its national reach. Industrial Internet Consortium members Accenture and Bayshore Networks are currently demonstrating the application of the High-Speed Network Infrastructure for power generation. [14]
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The Industrial Digital Thread (IDT) testbed drives efficiency, speed, and flexibility through digitization and automation of manufacturing processes and procedures. Beginning at design, the seamless digital integration of design systems into manufacturing, leveraging the model-based enterprise, helps to enable virtual manufacturing before even one physical part is created. Sensor enabled automation, manufacturing processes, procedures, and machine data will enable optimization in operations and supply chain. Once the manufacturing process is complete, the digital 'birth certificate' (as built-signature) can then be compared to the as-designed engineering intention. This provides the opportunity for powerful big data analytics to enable service teams and field engineers to have better awareness, insights, and practical actions to improve the servicing and maintenance of critical assets.
The Industrial Digital Thread is a complex and comprehensive concept and it will be implemented in multiple phases. Phase 1 focuses on assembling the software stack, establishing the architecture and connectivity, and addressing one use case around premature wear. Throughout Phase 1, the testbed will be run by IIC members General Electric and Infosys. In subsequent phases, this testbed will be able to support multiple use cases in design, manufacturing, services and supply-chain optimization. At this time, additional members will be invited to join. [15]
The goal of the International Future Industrial Internet Testbed (INFINITE) is to develop software-defined infrastructures to drive the growth of Industrial Internet products and services. INFINITE uses Big Data to not only create completely virtual domains with Software-Defined Networking, but it also makes it possible for multiple virtual domains to securely run via one physical network - thus making it ideal for use in mission critical systems. Even more interesting, INFINITE makes it possible to connect to these virtual domains through mobile networks.
Industrial Internet Consortium member, EMC Corporation, is leading the INFINITE testbed. Also contributing their expertise to this project is Industrial Internet Consortium member Cork Institute of Technology, as well as Vodafone, the Irish Government Networks, Asavie and Cork Internet Exchange.
The testbed will unfold in two phases in Ireland. In Phase One, three geographically dispersed data centers will be interconnected into a reconfigured EMC network. In Phase Two, INFINITE will be applied to a use case called "Bluelight". Bluelight will allow ambulances to securely connect to a hospital's system and relay information while en route, so hospital staff are prepared to take over the care of the patient once the ambulance arrives.
The INFINITE testbed is open to any Industrial Internet Consortium member as well as interested nonmembers companies who have a concept for an IoT-enabled solution that requires mobile communication and a dynamic configuration environment. [16]
The Condition Monitoring and Predictive Maintenance Testbed (CM/PM) will demonstrate the value and benefits of continuously monitoring industrial equipment to detect early signs of performance degradation or failure. CM/PM will also use modern analytical technologies to allow organizations to not only detect problems but proactively recommend actions for operations and maintenance personnel to correct the problem.
Condition Monitoring (CM) is the use of sensors in equipment to gather data and enable users to centrally monitor the data in real-time. Predictive Maintenance (PM) applies analytical models and rules against the data to proactively predict an impending issue; then deliver recommendations to operations, maintenance and IT departments to address the issue. These capabilities enable new ways to monitor the operation of the equipment - such as turbines and generators - and processes and to adopt proactive maintenance and repair procedures rather than fixed schedule-based procedures, potentially saving money on maintenance and repair, and saving cost and lost productivity of downtime caused by equipment failures. Furthermore, combining sensor data from multiple pieces of equipment and/or multiple processes can provide deeper insight into the overall impact of faulty or sub-optimal equipment, allowing organizations to identify and resolve problems before they impact operations and improve the quality and efficiency of industrial processes.
Through this testbed, the testbed leaders IBM and National Instruments will explore the application of a variety of analytics technologies for condition monitoring and predictive maintenance. The testbed application will initially be deployed to a power plant facility where performance and progress will be reported on, additional energy equipment will be added, and new models will be developed. It will then be expanded to adjacent, as yet to be determined, industries. [17]
Smart Airline Baggage Management Testbed
The Smart Airline Baggage Management testbed, part of a broader aviation ecosystem vision, is aimed at reducing the instances of delayed, damaged and lost bags leading to lower economic risk exposure to the airlines; increasing the ability to track and report on baggage including location and weight changes to prevent theft and loss; and improve customer satisfaction through better communication including offering new value-added services to frequent flyers.
The testbed is also aimed at helping airlines address the new baggage handling requirements set out by IATA in Resolution 753 requiring airlines to implement more comprehensive acquisition and delivery solutions for baggage tracking and handling by June 2018. This target is also outlined in the broader IATA 2015 White Paper titled "Simplifying the Business."
As of September 2021, the IIC has six working groups: Technology, Security, Liaison, Marketing, Industry and Digital Transformation. The last two reflect the drive to enable technology end users to deploy technology in their businesses and transform them digitally (The Industry Working Group used to be called the Testbed Working Group, but now includes test drives and challenges, and groups focused on specific verticals. The Digital Transformation Working Group used to be named Business Strategy and Solution Lifecycle, but has now broadened its remit). Each working group has a number of subgroups to further specific challenges. Each IIC member company can assign company representatives to these groups. [18]
Ultra-wideband is a radio technology that can use a very low energy level for short-range, high-bandwidth communications over a large portion of the radio spectrum. UWB has traditional applications in non-cooperative radar imaging. Most recent applications target sensor data collection, precise locating, and tracking. UWB support started to appear in high-end smartphones in 2019.
Machine to machine (M2M) is direct communication between devices using any communications channel, including wired and wireless. Machine to machine communication can include industrial instrumentation, enabling a sensor or meter to communicate the information it records to application software that can use it. Such communication was originally accomplished by having a remote network of machines relay information back to a central hub for analysis, which would then be rerouted into a system like a personal computer.
A unidirectional network is a network appliance or device that allows data to travel in only one direction. Data diodes can be found most commonly in high security environments, such as defense, where they serve as connections between two or more networks of differing security classifications. Given the rise of industrial IoT and digitization, this technology can now be found at the industrial control level for such facilities as nuclear power plants, power generation and safety critical systems like railway networks.
The Internet of things (IoT) describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. The Internet of things encompasses electronics, communication, and computer science engineering. "Internet of things" has been considered a misnomer because devices do not need to be connected to the public internet; they only need to be connected to a network and be individually addressable.
Network Centric Product Support (NCPS) is an early application of an Internet of Things (IoT) computer architecture developed to leverage new information technologies and global networks to assist in managing maintenance, support and supply chain of complex products made up of one or more complex systems, such as in a mobile aircraft fleet or fixed location assets such as in building systems. This is accomplished by establishing digital threads connecting the physical deployed subsystem with its design Digital Twins virtual model by embedding intelligence through networked micro-web servers that also function as a computer workstation within each subsystem component (i.e. Engine control unit on an aircraft) or other controller and enabling 2-way communications using existing Internet technologies and communications networks - thus allowing for the extension of a product lifecycle management (PLM) system into a mobile, deployed product at the subsystem level in real time. NCPS can be considered to be the support flip side of Network-centric warfare, as this approach goes beyond traditional logistics and aftermarket support functions by taking a complex adaptive system management approach and integrating field maintenance and logistics in a unified factory and field environment. Its evolution began out of insights gained by CDR Dave Loda (USNR) from Network Centric Warfare-based fleet battle experimentation at the US Naval Warfare Development Command (NWDC) in the late 1990s, who later lead commercial research efforts of NCPS in aviation at United Technologies Corporation. Interaction with the MIT Auto-ID Labs, EPCglobal, the Air Transport Association of America ATA Spec 100/iSpec 2200 and other consortium pioneering the emerging machine to machine Internet of Things (IoT) architecture contributed to the evolution of NCPS.
A smart object is an object that enhances the interaction with not only people but also with other smart objects. Also known as smart connected products or smart connected things (SCoT), they are products, assets and other things embedded with processors, sensors, software and connectivity that allow data to be exchanged between the product and its environment, manufacturer, operator/user, and other products and systems. Connectivity also enables some capabilities of the product to exist outside the physical device, in what is known as the product cloud. The data collected from these products can be then analyzed to inform decision-making, enable operational efficiencies and continuously improve the performance of the product.
Manufacturing Enterprise Solutions Association International is a worldwide not-for-profit community of manufacturing companies, information technology hardware and software suppliers, system integrators, consulting service providers, analysts, editors, academics, and students. MESA's goal is to help member companies improve business results and production operations through application and implementation of information technology and best management practices.
"Fourth Industrial Revolution", "4IR", or "Industry 4.0" is a buzzword and neologism describing rapid technological advancement in the 21st century. The term was popularised in 2016 by Klaus Schwab, the World Economic Forum founder and executive chairman, who says that the changes show a significant shift in industrial capitalism.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the Internet backbone.
A digital twin is a digital model of an intended or actual real-world physical product, system, or process that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance. The digital twin has been intended from its initial introduction to be the underlying premise for Product Lifecycle Management and exists throughout the entire lifecycle of the physical entity it represents. Since information is granular, the digital twin representation is determined by the value-based use cases it is created to implement. The digital twin can and does often exist before there is a physical entity. The use of a digital twin in the creation phase allows the intended entity's entire lifecycle to be modeled and simulated. A digital twin of an existing entity may be used in real-time and regularly synchronized with the corresponding physical system.
Operational technology (OT) is hardware and software that detects or causes a change, through the direct monitoring and/or control of industrial equipment, assets, processes and events. The term has become established to demonstrate the technological and functional differences between traditional information technology (IT) systems and industrial control systems environment, the so-called "IT in the non-carpeted areas".
Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the supply chain, efficient production and recyclability. In this concept, as smart factory has interoperable systems, multi-scale dynamic modelling and simulation, intelligent automation, strong cyber security, and networked sensors.
Cyber manufacturing is a concept derived from cyber-physical systems (CPS) that refers to a modern manufacturing system that offers an information-transparent environment to facilitate asset management, provide reconfigurability, and maintain productivity. Compared with conventional experience-based management systems, cyber manufacturing provides an evidence-based environment to keep equipment users aware of networked asset status, and transfer raw data into possible risks and actionable information. Driving technologies include design of cyber-physical systems, combination of engineering domain knowledge and computer sciences, as well as information technologies. Among them, mobile applications for manufacturing is an area of specific interest to industries and academia.
The OpenFog Consortium was a consortium of high tech industry companies and academic institutions across the world aimed at the standardization and promotion of fog computing in various capacities and fields.
oneM2M is a global partnership project founded in 2012 and constituted by 8 of the world's leading ICT standards development organizations, notably: ARIB (Japan), ATIS, CCSA (China), ETSI (Europe), TIA (USA), TSDSI (India), TTA (Korea) and TTC (Japan). The goal of the organization is to create a global technical standard for interoperability concerning the architecture, API specifications, security and enrolment solutions for Machine-to-Machine and IoT technologies based on requirements contributed by its members.
Link Labs is an American company based in Annapolis, Maryland, that develops computer network technology for business and industrial customers. Link Labs technologies are marketed for Internet of things (IoT) applications and devices.
The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.
MindSphere is an industrial IoT as a service solution developed by Siemens for applications in the context of the Internet of Things (IoT). MindSphere stores operational data and makes it accessible through digital applications to allow industrial customers to make decisions based on valuable factual information. The system is used in applications such as automated production and vehicle fleet management.
GE Digital is a subsidiary of the American multinational conglomerate corporation General Electric. Headquartered in San Ramon, California, the company provides software and industrial internet of things (IIoT) services to industrial companies.
Intelligent transformation is the process of deriving better business and societal outcomes by leveraging smart devices, big data, artificial intelligence, and cloud technologies. Intelligent transformation can facilitate firms in gaining recognition from external investors, thereby enhancing their market image and attracting larger consumers who are more eager to collaborate. Conversely, intelligent transformation can foster the development of more interactive and multidimensional value-creation models while optimizing the conventional organizational model.