I’m all about IoT and digitalization anymore. This is the next movement following the automation trend I championed some 15 years ago.
Last month, I started receiving emails about predictions for 2018. Not my favorite topic, but I started saving them. Really only received a couple good ones. Here they are—one from Cisco and one from FogHorn Systems.
From Cisco blog written by Cisco’s SVP of Internet of Things (IoT) and Applications Division, Rowan Trollope, comes several looks at IoT from a variety of angles. There is more at the blog. I encourage you to visit for more details.
Until now, the Internet-of-Things revolution has been, with notable outlier examples, largely theoretical and experimental. In 2018, we expect that many existing projects will show measurable returns, and more projects get launched to capitalize on data produced by billions of new connected things.
With increased adoption there will be challenges: Our networks were not built to support the volumes and types of traffic that IoT generates. Security systems were not originally designed to protect connected infrastructure against IoT attacks. And managing industrial equipment that is connected to traditional IT requires new partnerships.
I asked the leaders of some of the IoT-focused teams at Cisco to describe their predictions for the coming year, to showcase some of these changes. Here they are.
IoT Data Becomes a Bankable Asset
In 2018, winning with IoT will mean taking control of the overwhelming flood of new data coming from the millions of things already connected, and the billions more to come. Simply consolidating that data isn’t the solution, neither is giving data away with the vague hope of achieving business benefits down the line. Data owners need to take control of their IoT data to drive towards business growth. The Economist this year said, “Data is the new oil,” and we agree.
This level of data control will help businesses deliver new services that drive top-line results.
– Jahangir Mohammed, VP & GM of IoT, Cisco
AI Revolutionizes Data Analytics
In 2018, we will see a growing convergence between the Internet of Things and Artificial Intelligence. AI+IoT will lead to a shift away from batch analytics based on static datasets, to dynamic analytics that leverages streaming data.
Typically, AI learns from patterns. It can predict future trends and recommend business-critical actions. AI plus IoT can recommend, say, when to service a part before it fails or how to route transit vehicles based on constantly-changing data.
– Maciej Kranz, VP, Strategic Innovation at Cisco, and author of New York Times bestseller, Building the Internet of Things
Interoperable IoT Becomes the Norm
The growth of devices and the business need for links between them has made for a wild west of communications in IoT. In 2018, a semblance of order will come to the space.
With the release of the Open Connectivity Foundation (OCF) 1.3 specification, consumer goods manufacturers can now choose a secure, standards-based approach to device-to-device interactions and device-to-cloud services in a common format, without having to rely on, or settle for, a proprietary device-to-cloud ecosystem.
Enterprise IoT providers will also begin to leverage OCF for device-to-device communications in workplace and warehouse applications, and Open Mobile Alliance’s Lightweight Machine-to-Machine (LwM2M) standard will take hold as the clear choice for remote management of IoT devices.
In Industrial IoT, Open Process Communication’s Unified Architecture (OPC-UA) has emerged as the clear standard for interoperability, seeing record growth in adoption with over 120 million installs expected as 2017 draws to an end. It will continue to grow into new industrial areas in 2018 driven by support for Time Sensitive Networking.
– Chris Steck, Head of Standardization, IoT & Industries, Cisco
IoT Enables Next-Gen Manufacturing
Manufacturing is buzzing about Industrie 4.0, the term for a collection of new capabilities for smart factories, that is driving what is literally the next industrial revolution. IoT technologies are connecting new devices, sensors, machines, and other assets together, while Lean Six Sigma and continuous improvement methodologies are harvesting value from new IoT data. Early adopters are already seeing big reductions in equipment downtime (from 15 to 95%), process waste and energy consumption in factories.
– Bryan Tantzen, Senior Director, Industry Products, Cisco
Connected Roadways Lay the Groundwork for Connected Cars
Intelligent roadways that sense conditions and traffic will adjust speed limits, synchronize street lights, and issue driver warnings, leading to faster and safer trips for drivers and pedestrians sharing the roadways. As these technologies are deployed, they become a bridge to the connected vehicles of tomorrow. The roadside data infrastructure gives connected cars a head start.
Connected cities will begin using machine learning (ML) to strategically deploy emergency response and proactive maintenance vehicles like tow trucks, snow plows, and more.
– Bryan Tantzen, Senior Director, Industry Products, Cisco
Botnets Make More Trouble
Millions of new connected consumer devices make a nice attack surface for hackers, who will continue to probe the connections between low-power, somewhat dumb devices and critical infrastructure.
The biggest security challenge I see is the creation of Distributed Destruction of Service (DDeOS) attacks that employ swarms of poorly-protected consumer devices to attack public infrastructure through massively coordinated misuse of communication channels.
IoT botnets can direct enormous swarms of connected sensors like thermostats or sprinkler controllers to cause damaging and unpredictable spikes in infrastructure use, leading to things like power surges, destructive water hammer attacks, or reduced availability of critical infrastructure on a city or state-wide level.
– Shaun Cooley, VP and CTO, Cisco
Blockchain Adds Trust
Cities are uniquely complex connected systems that don’t work without one key shared resource: trust.
From governmental infrastructure to private resources, to financial networks, to residents and visitors, all of a city’s constituents have to trust, for example, that the roads are sound and that power systems and communication networks are reliable. Those working on city infrastructure itself can’t live up to this trust without knowing that they are getting accurate data. With the growth of IoT, the data from sensors, devices, people, and processes is getting increasingly decentralized—yet systems are more interdependent than ever.
As more cities adopt IoT technologies to become smart—thus relying more heavily on digital transactions to operate—we see blockchain technology being used more broadly to put trust into data exchanges of all kinds. A decentralized data structure that monitors and verifies digital transactions, blockchain technology can ensure that each transaction—whether a bit of data streaming from distributed air quality sensors, a transaction passing between customs agencies at an international port, or a connection to remote digital voting equipment—be intact and verifiable.
– Anil Menon, SVP & Global President, Smart+Connected Communities, Cisco
Sastry Malladi, CTO of FogHorn Systems, has shared his top five predictions for the IIoT in 2018.
1. Momentum for edge analytics and edge intelligence in the IIoT will accelerate in 2018.
Almost every notable hardware vendor has a ruggedized line of products promoting edge processing. This indicates that the market is prime for Industrial IoT (IIoT) adoption. With technology giants announcing software stacks for the edge, there is little doubt that this momentum will only accelerate during 2018. Furthermore, traditional industries, like manufacturing, that have been struggling to showcase differentiated products, will now embrace edge analytics to drive new revenue streams and/or significant yield improvements for their customers.
2. Additionally, any industry with assets being digitized and making the leap toward connecting or instrumenting brownfield environments is well positioned to leverage the value of edge intelligence.
Usually, the goal of these initiatives is to have deep business impact. This can be delivered by tapping into previously unknown or unrealized efficiencies and optimizations. Often these surprising insights are uncovered only through analytics and machine learning. Industries with often limited access to bandwidth, such as oil and gas, mining, fleet and other verticals, truly benefit from edge intelligence.
3. Business cases and ROI are critical for IIoT pilots and adoption in 2018
The year 2017 was about exploring IIoT and led to the explosion of proof of concepts and pilot implementations. While this trend will continue into 2018, we expect increased awareness about the business value edge technologies bring to the table. Companies that have been burned by the “Big Data Hype” – where data was collected but little was leveraged – will assess IIoT engagements and deployments for definitive ROI. As edge technologies pick up speed in proving business value, the adoption rate will exponentially rise to meet the demands of ever-increasing IoT applications.
IIoT standards will be driven by customer successes and company partnerships
4. IT and OT teams will collaborate for successful IIoT deployments
IIoT deployments will start forcing closer engagement between IT and operations technology (OT) teams. Line of business leaders will get more serious around investing in digitization, and IT will become the cornerstone required for the success of these initiatives. What was considered a wide gap between the two sectors – IT and OT – will bridge thanks to the recognized collaboration needed to successfully deploy IIoT solutions and initiatives.
5. Edge computing will reduce security vulnerabilities for IIoT assets.
While industries do recognize the impact of an IIoT security breach there is surprisingly little implementation of specific solutions. This stems from two emerging trends:
a) Traditional IT security vendors are still repositioning their existing products to address IIoT security concerns.
b) A number of new entrants are developing targeted security solutions that are specific to a layer in the stack, or a particular vertical.
This creates the expectation that, if and when an event occurs, these two classes of security solutions are sufficient enough. Often IoT deployments are considered greenfield and emerging, so these security breaches still seem very futuristic, even though they are happening now. Consequently, there is little acceleration to deploy security solutions, and most leaders seem to employ a wait-and-watch approach. The good news is major security threats, like WannaCry, Petya/Goldeneye and BadRabbit, do resurface IIoT security concerns during the regular news cycle. However, until security solutions are more targeted, and evoke trust, they may not help move the needle.
2017 marks the year of Avnu Alliance, the consortium driving standards-based deterministic networking, making its name in the industrial Internet of Things space. I’ve caught up with news from other trips, now it’s news from SPS in Nuremberg that I missed this year.
- Avnu Alliance and Edge Computing Consortium
- Avnu Alliance and OPC Foundation
- TSN Conformance Testing
Avnu Alliance and the Edge Computing Consortium
Avnu Alliance and the Edge Computing Consortium (ECC) announced a liaison agreement to partner on shared interests of advancing industrial networking and edge computing. Under the agreement, the consortia will work together with the shared goal for interoperability across the industrial control industry.
Joint activities between Avnu Alliance and the ECC will include:
- Identifying and sharing IIoT best practices
- Collaborating on test beds
- Collaborating on standardization and conformance testing
“We are very excited about the cooperation between ECC and Avnu Alliance,” said Mr. Haibin Yu, Chairman of ECC. “We believe that Time Sensitive Networking (TSN) technology will enable edge computing to better meet the industrial customers end-to-end needs and promote the global industry digitization transformation.”
“Edge computing is a key enabling technology to the industrial IoT. The liaison with the Edge Computing Consortium enables Avnu to broaden the scope for creating an interoperable foundation of Time Sensitive Networking (TSN) for the industrial IoT in alignment with our organization’s goal to build coalitions within the networking space,” said Todd Walter, Avnu Alliance Industrial Segment Chair.
Avnu Alliance and ECC conducted a joint presentation at the ECC Summit in Beijing on November 29, 2017 to announce their agreement and the opportunities ahead for Edge Computing and Time Sensitive Networking.
Avnu Alliance and OPC Foundation Combined IT-OT Leadership
Avnu Alliance (Avnu), Industrial Internet Consortium (IIC), and OPC Foundation announce their collaboration with IT-OT industry leaders to advance industrial device interoperability and to show the progress made in bringing the open, unified communication standard OPC UA over Time Sensitive Networking (TSN) to market.
Leading companies active in these groups have pledged their commitment to ensuring the interoperability of deterministic industrial devices and have made significant investments in achieving this goal. Rapid developments of these technologies have been made over the last year.
“With the rapid adoption of TSN as a foundational technology for automation, the community is increasingly relying on an interoperable set of network services and infrastructure. Today, 17 market leaders are reinforcing their commitment to complete a unified communication technology,” said Todd Walter, Avnu Alliance Industrial Segment Chair. “By leveraging the liaison agreements of Avnu, IIC and OPC Foundation, we’re creating a faster process for the creation of an open, interoperable ecosystem of devices that take advantage of secure, guaranteed latency and delivery for critical traffic. It is exciting to see the fruits of our labor in these milestones.”
The pillars of this announcement are:
Conformance testing advances: Avnu TSN conformance test plans for time synchronization of industrial devices are ready and available to test houses. At last month’s Avnu IIC Interoperability Workshop, more than 20 companies came together to demonstrate interoperability in the IIC TSN Testbed and to advance the conformance tests with the assistance of University of New Hampshire InterOperability Lab, an Avnu-recognized test facility.
Standards evolved, more vendors, more devices: The Publish Subscribe extension for OPC UA is now available in release-candidate form, enabling the exchange of OPC UA over UDP connections. This is the prerequisite for running OPC UA TSN.
“OPC UA over TSN adds additional capability to the OPC Foundation portfolio, including enhancing controller-to-controller and machine-to-machine communication and information integration. OPC UA addresses the complex requirements of initiatives like Industrie 4.0 and the IIoT, providing information integration between devices, applications and the cloud, truly providing the foundation for the much-demanded seamless communication and information integration between IT and OT networks,” said Thomas Burke, OPC Foundation President.
Demonstrated interoperability between different vendors: Interoperability testing via the IIC TSN Testbed is rapidly progressing with eight hands-on plugfests taking place in the US and Europe over the past 18 months. More than 20 companies have participated in these face-to-face events to test and demonstrate interoperability between devices from various manufacturers and vendors – both collaborative and competitive.
“Our TSN Testbed stands as a showcase for the business value of TSN. The work coming out of the TSN Testbed is already having a direct impact on suppliers and manufacturers who see the technology as a value-add for their system structures,” said Paul Didier, IIC TSN Testbed Coordinator, Cisco Solution Architect. “Companies are invited to participate in our plugfests to test their own TSN devices for interoperability, including OPC UA Pub-Sub TSN devices.”
Avnu Alliance Delivers First TSN Conformance Tests for Industrial Devices
Avnu Alliance announced the first set of Avnu TSN conformance test plans for time synchronization of industrial devices are ready and available now for test houses to implement.
Avnu Alliance has built a rich set of conformance and interoperability tests with a defined procedure for certification in various markets. Leveraging that multi-industry experience, Avnu defined a baseline certification in the industrial market that consists of robust and comprehensive test requirements based on the market requirements for industrial automation devices and silicon. These conformance tests ensure that the device or silicon conforms to the relevant IEEE standards, as well as additional requirements that Avnu has selected as necessary for proper system interoperability.
“Time Synchronization, or 802.1AS, is the foundation for all TSN devices, hence it is the first set of conformance tests that are ready and available,” said Todd Walter, Avnu Alliance Industrial Segment Chair. As the standards and networks continue to evolve, so does Avnu’s work to define and certify the standard foundation. In the future, Avnu will also be able to test and certify other traffic shaping mechanisms, frame preemption, redundancy, ingress policing, strict priority, and security. “Our work with the Industrial Internet Consortium (IIC), OPC Foundation and other industry organizations drives the industry closer toward achieving an interoperable ecosystem,” added Walter.
Avnu is committed to speeding up the path to an interoperable foundation. To this end, Avnu members have made open source code available for 802.1AS timing and synchronization in the OpenAvnu repository on GitHub.
To encourage and enable multiple industry groups, vendors and protocols to share a TSN network, Avnu has outlined the system architecture and requirements for this industrial model built on an Avnu certified foundation in a document entitled “Theory of Operation for TSN-enabled Industrial Systems,” which is available for download. This document introduces the fundamental mechanisms needed for a system architecture to build on, including time synchronization, quality of service using scheduled transmission and network configuration and walks through the requirements of several industrial use cases including how to enable and integrate non-TSN technologies where needed.
Avnu Alliance members have created this document to help designers and engineers in the industry understand the real-world application context and build a TSN network that is configured for multiple vendor and industry groups. Avnu’s defined foundation will continue to support additional capabilities, including support for multiple IEEE 1588 profiles, guidelines for scaling to very large network architectures, centralized and distributed configuration for the network, and aggregation/composition of multiple networks into a single TSN-enabled network domain.
Hewlett Packard Enterprise (HPE) held its European customer conference, Discover, in Madrid this week. Points of emphasis that impacted me included Internet of Things business, high power computing, a view of the changes going on at HPE, and a look at the future of IT and the plant.
Bloggers and influencers
I was here as part of a blogger program separate from press and analysts. Bloggers are a livelier group than press. I think that I am the only independent blogger in manufacturing in the US (everyone else works for a magazine or analyst firm). There were 25 bloggers at Discover from countries as diverse as Denmark, Belgium, Germany, Italy, Spain, New Zealand, Canada, and the USA. Rather than attending press conferences our program included “coffee talks” that were live-streamed on the Web. These were informal presentations plus question-and-answer sessions.
There was one press conference I attended—the announcement of the partnership with ABB on the mini-data center product. Instead of conversation and give-and-take, one or two journalists asked questions in a challenging manner that were seldom designed to elicit more information. Note: I wrote about the partnership earlier this week.
Retiring CEO Meg Whitman used a quote from Gartner in her remarks. “The Edge will eat the cloud.” HPE has developed edge computing devices called Edgeline that I discussed in August after my first meeting with the company. These are powerful computing devices based on PXI platform technology from National Instruments. The blogger group devoted some time discussing how valid that comment was.
We concluded that you will need both. I have an example from a conversation I had with Rod Anilker, a technologist in the OEM group. Imagine taking the computing power and openness of the HPE platform to replace proprietary controllers such as CNC, PLC, DCS. These devices at the edge would solve many control and other edge applications with the additional capability of sending data to the cloud.
Now, imagine the storage and computing power HPE has accumulating vast amounts of data—maybe from a power generation fleet or a company’s many refineries—achieving scale sufficient to do some pretty cool pattern recognition. The predictive, prescriptive, and planning possibilities would be awesome.
Pieces of HPE Corporate Puzzle
Antonio Neri, President and COO and next year’s CEO, let general session with these main points.
• Intelligent Edge (where the action is->acquisition of Aruba so important)
• Secure platforms from edge to core to cloud
• Memory-driven computing (acquisition of Silicon Graphics another important piece)
• Artificial Intelligence (inside everything)
• Software-defined and multi-cloud platforms
• Partner ecosystem
• Flexible consumption (scale up, scale back)
• Advise and transform HPE PointNext
• Outcome-as-a-Service, future of enterprise computing
PointNext is the services arm introducing the concept of Edge-as-a-Service. In face, HPE features “as-a-service” in many guises.
This concept seems to be modeled on ideas emanating from GE’s consumption of services mode. Capturing and processing data at source where action needs to happen as the foundation of the model. Then you provide IT in a way that scales, pay-as-you-go concept, subscription-based. Therefore, the customer has flexibility and reduced risk.
Take the expertise from a data center that runs 24/7 and put it at edge. Then it’s all about extracting data. Take this into machine learning. This starts to morph into the concept from the OEM group.
The model architecture takes HPE’s new GreenLake plus EaaS. GreenLake edge compute includes design services, information services, operational & support services, and pay-as-you-go. Upfront consulting to help evaluate the client’s requirements and business process and recommends solution packages.
David Chalmers, research and development executive, briefed us with a business and technology overview.
Hewlett Packard Enterprise is one of the two business left standing after Meg Whitman (and the board) split the company following some bad years of plans and leadership. Following the split, several businesses were divested.
Chalmers related HPE has been changing fast into an infrastructure/solutions company (he said, the world’s largest). “The strength of our portfolio is the best in 10 years, much from organic development. The SGI acquisition yielded more compute options (SGI acquisition), including low power, high performance computing. By 2022 60% of data will never get to data center, it’ll reside at the edge. Therefore intelligent edge is important. SGI brought high performance analytics.”
Another couple of tidbits. At the new HPE people bring business cases first, then talk about the technology solution. The OT world order of magnitude larger than IT world. (Hmmm)
Oh, and there were many new products. They don’t all apply to my areas of coverage. But the engineers have been busy.
I just realized I made it through the entire discussion without mentioning the technology that brought me to HPE Discover—Internet of Things. Much of that relates to the Edge and devices such as Edgeline. Obviously important IoT garnered significant floor space in the exhibition area.
There will be more in another post.
IoT Platforms are all the rage. All God’s children need a platform, it seems. Most larger companies have a platform. Oh, and all promise it’s “open” to everyone’s connections. Then there is open source—check out Dell, the Linux Foundation, and others who have developed the EdgeX Foundry.
Now we have an Asian developed one—mostly Japanese along with Taiwan-based Advantech—called the Edgecross Consortium. Edgecross evidently refers to a focus on edge computing and cross vendor.
I received the first notice from Advantech who announced it has partnered with Mitsubishi Electric, Omron, NEC, IBM Japan, and Oracle Japan to establish the “Edgecross Consortium” to overcome boundaries between companies and industries in order to realize collaboration between factory automation and IT. The objective is to create new value centered on edge computing.
The Consortium news release states, “In this way, it will contribute to the promotion of IoT, for which demand is increasing on a global scale, as well as Society 5.0, proposed by the Japanese government, and activities of Connected Industries, which tie in to Society 5.0.”
Initial activities of the Consortium will begin with the development of specifications for the Edgecross open software platform and promoting its dissemination for edge computing from Japan to harmonize with FA and IT. This initial work will include providing avenues for supporting companies to cooperate and collaborate beyond the framework of companies and industries. The Consortium will aim to expand applications for various industries in addition to initiating activities in the global arena in the future.
I should note here that in America and Europe, we generally refer to bringing OT and IT together (rather than FA).
The date of founding is scheduled for November 29, 2017, and an exhibition is planned at the System Control Fair 2017, to be held on the same day.
Overview of Edgecross
An open software platform of edge computing area from Japan built by consortium members beyond the boundaries of companies and industries to realize collaboration with FA and IT.
Real-time diagnosis and feedback
Realizing real-time feedback to the production site by analyzing and diagnosing the data at location close to the production sites
Creating models from production sites
Data can be easily utilized by people or by applications by layering and abstracting the Big data of the production sites
Utilization of various applications in the edge computing area
IT applications can be easily applied to FA application
Applications may be selected from an extensive lineup depending on the situation
System construction completed in the edge computing area are available
Collecting all types of data at the production site
Enable data collection from all equipment and devices regardless of vendor or network
Smooth coordination with FA and IT systems
Realizing supply chain and engineering chain optimization by seamless data coordination with IT systems including the cloud
Operates on industrial PCs
Mountable on various manufacturer’s industrial PCs (IPCs)
Here are a couple of executive quotes about the news.
“Partnering with leading global companies in accelerating our global business in Industry 4.0 is Advantech’s key strategy,” stated Allan Yang, CTO of Advantech. “Advantech joined the Mitsubishi [email protected] Alliance this April to foster business opportunities for smart manufacturing in Asia through co-marketing and co-exhibition. Joining the Edgecross Consortium is our next big step to expand global collaboration and business in Industry 4.0. We are very proud to be a part of Edgecross Consortium with these leading global companies; we are looking forward to collaborating with consortium members to develop Industry 4.0 products and solutions to enhance our customer experience.”
Yoshikazu Miyata, Executive Officer and Group President of Factory Automation Systems at Mitsubishi Electric, gave the following statement regarding the new partnership, “The consortium welcomes Advantech as a key member. We are happy to work with Advantech, a worldwide leading innovator for Edge computing and IoT solutions. We are looking forward to co-creating with Advantech to provide innovative IoT solutions to customers.”
The Industrial Internet Consortium (IIC) has been incredibly active over the past month. While I’ve been traveling, news releases and interview opportunities have been pouring in.
- IIC and Avnu Alliance Liaison
- IIC and the EdgeX Foundry Announce Liaison
- IIC Develops Smart Factory Machine Learning for Predictive Maintenance Testbed
- IIC Publishes Edge Computing Edition of Journal of Innovation
See my white paper on OPC UA and TSN. I wrote this following interviews at Hannover for the OPC Foundation and subsequent travels to see people. I think this is a powerful combination for the future.
Why it’s important:
These news items when viewed collectively show momentum for what is happening with the Industrial Internet—or as some say the Industrial Internet of Things. These technologies are soon to be powerful business drivers for a new age of manufacturing.
Liaison with Avnu Alliance
The Industrial Internet Consortium (IIC) and Avnu Alliance (Avnu) have agreed to a liaison to work together to advance deployment and interoperability of devices with Time Sensitive Networking (TSN) open standards.
Under the agreement, the IIC and Avnu will work together to align efforts to maximize interoperability, portability, security and privacy for the industrial Internet. Joint activities between the IIC and the Avnu will include:
- Identifying and sharing IIoT best practices
- Realizing interoperability by harmonizing architecture and other elements
- Collaborating on standardization
“Both Avnu and the IIC are well aligned to pursue the advancement of the IIoT. An example of this is Avnu’s participation in the IIC TSN testbed where members have an opportunity to try their equipment and software on the testbed infrastructure. This provides the participants with the ability to discover what’s working and what is not and provide feedback that helps speed market adoption,” said Gary Stuebing, IIC liaison to Avnu. “The lessons learned in our TSN testbed fuel the ability of both of our organizations. TSN could open up critical control applications such as robot control, drive control and vision systems.”
“Our liaison agreement and work with the IIC TSN Testbed demonstrates real-world applications and solutions with TSN and helps to accelerate readiness for the market. The testbed stands as a showcase for the value that TSN standards and ecosystem of manufacturing applications and products bring to the market, including the ability for IIoT to incorporate high-performance and latency-sensitive applications,” said Todd Walter, Avnu Alliance Industrial Segment Chair. “Our collaboration with IIC and the work coming out of the TSN Testbed is already having a direct impact on suppliers and manufacturers who see the technology as a value add for their system structure.”
Avnu and IIC are meeting for a TSN Testbed plugfest later this month to evaluate and trial TSN device conformance tests that are being developed as a baseline certification in the industrial market.
Avnu creates comprehensive certification tests and programs to ensure interoperability of networked devices. The foundational technology enables deterministic synchronized networking based on IEEE Audio Video Bridging (AVB) / Time Sensitive Networking (TSN) base standards. The Alliance, in conjunction with other complementary standards bodies and alliances, provides a united network foundation for use in professional AV, automotive, industrial control and consumer segments.
Agreement with EdgeX Foundry
The Industrial Internet Consortium and EdgeX Foundry, an open-source project building a common interoperability framework to facilitate an ecosystem for IoT edge computing, announced they have agreed to a liaison.
Under the agreement, the IIC and the EdgeX Foundry will work together to align efforts to maximize interoperability, portability, security and privacy for the industrial Internet.
Joint activities between the IIC and the EdgeX Foundry will include:
- Identifying and sharing best practices
- Collaborating on test beds and experimental projects
- Working toward interoperability by harmonizing architecture and other elements
- Collaborating on common elements
- Periodically hosting joint seminars
“We are excited about working with EdgeX Foundry,” James Clardy, IIC liaison to EdgeX Foundry. “And we look forward to leveraging the experiences of the IIC to help further accelerate the adoption of the industrial Internet.”
“EdgeX Foundry’s primary goal is to simplify and accelerate Industrial IoT by delivering a unified edge computing platform supported by an ecosystem of solutions providers,” said Philip DesAutels, senior director of IoT for The Linux Foundation. “Formalizing this liaison relationship with the IIC is fundamental to unlocking business value at scale. Together, we will provide better best practices that will drive the unification of the industrial IoT.”
Hosted by The Linux Foundation, EdgeX Foundry has an ecosystem of more than 60 vendors and offers all interested developers or companies the opportunity to collaborate on IoT solutions built using existing connectivity standards combined with their own proprietary innovations. For more information, visit
Smart Factory Machine Learning for Predictive Maintenance Testbed
The Industrial Internet Consortium announced the Smart Factory Machine Learning for Predictive Maintenance Testbed. The testbed is led by two companies, Plethora IIoT, a company, designing and developing cutting-edge answers for Industry 4.0, and Xilinx, the leading provider of All Programmable technology.
This innovative testbed explores machine-learning techniques and evaluates algorithmic approaches for time-critical predictive maintenance. This knowledge leads to actionable insight enabling companies to move away from traditional preventative maintenance to predictive maintenance, which minimizes unplanned downtime and optimizes system operation. This would ultimately help manufacturers increase availability, improve energy efficiency and extend the lifespan of high-volume CNC manufacturing production systems.
“Testbeds are the major focus and activity of the IIC and its members. We provide the opportunity for both small and large companies to collaborate and help solve problems that will drive the adoption of IoT applications in many industries”, said IIC Executive Director Dr. Richard Mark Soley. “The smart factory of the future will require advanced analytics, like those this testbed aims to provide, to identify system degradation before system failure. This type of machine learning and predictive maintenance could extend beyond the manufacturing floor to have a broader impact to other industrial applications.”
“Downtime costs some manufacturers as much as $22k per minute. Therefore, unexpected failures are one of the main players in maintenance costs because of their negative impact due to reactive and unplanned maintenance action. Being able to predict system degradation before failure has a strong positive impact on machine availability: increasing productivity and decreasing downtime, breakdowns and maintenance costs,” said Plethora IIoT Team Leader Javier Diaz. “We’re excited to lead this testbed with Xilinx and work alongside some of the leading players in IIoT technologies. This is a unique opportunity to test together machine learning technologies with those involved in the testbed at different development levels starting from the lab through production environments, where a real deployment solution is utilized. As a result, from these experiences, we can significantly reduce the time-to-market of Plethora IIoT solutions oriented to maximize smart factory competitiveness.”
”Xilinx is committed to providing the Industrial IoT industry with our latest All Programmable SoC and MPSoC platforms – ideal for sensor fusion, real-time, high-performance processing, and machine learning from the edge to the cloud,” stated Dan Isaacs, Director of Corporate Strategic Marketing and Market Development for IIoT and Machine Learning at Xilinx. “The combination of these highly configurable capabilities drives the intelligence of the smart factory.”
Additional IIC member companies participating in this testbed are: Bosch, Microsoft, National Instruments, RTI, System View, GlobalSign, Aicas, Thingswise, Titanium Industrial Security, and iVeia. They provide technologies to enable the Smart Factory Machine Learning testbed, including:
- Factory automation
- OT and IT security
- Edge to cloud machine learning and analytics
- Time-sensitive networking (TSN)
- Data acquisition
- Smart sensor technology
- Design implementation
- Embedded programmable SoC technology
- Secure authentication
Journal of Innovation
The Industrial Internet Consortium (IIC) has published the fifth edition of the Journal of Innovation with a focus on edge computing. The Journal of Innovation highlights the innovative ideas, approaches, products, and services emerging within the Industrial Internet, such as smart cities, artificial intelligence, the smart factory, and edge computing.
Edge computing promises to bring real-time intelligence to industrial machines at the edge of the network, where data can be processed closer to its source. Edge computing provides businesses with a cost-effective means to transmit and analyze large quantities of data in real-time, enabling them to reduce unplanned downtime, improve worker safety and enhance asset performance.
“The Journal of Innovation brings together innovators and thought leaders across the IoT spectrum. In this issue, our experts share their insights on edge computing as a key enabling technology poised to transform the IIoT,” said Mark Crawford, co-chair of the IIC Thought Leadership Task Group and Standards Strategist, SAP Strategic IP Initiatives. “Edge computing is not a new concept, but as IIoT transforms business processes, the need to use data closer to its source, whether that be from a wind turbine, a deep-water well’s blowout preventer, or an autonomous car, is paramount.”
The Edge Computing edition of the Journal of Innovation includes articles contributed by leaders at IIC member companies including:
- Where is the Edge of the Edge of Industrial IoT? · Pieter van Schalkwyk XMPro
- Device Ecosystem at the Edge – Manufacturing Scenario · Sujata Tilak, Ascent Intellimation Pvt. Ltd.
- Edge Intelligence: The Central Cloud is Dead – Long Live the Edge Cloud · Yun Chao Hu, Huawei Technologies Duesseldorf GmbH
- Outcomes, Insights, and Best Practices from IIC Testbeds: Microgrid Testbed · Brett Burger, National Instruments · Joseph Fontaine, Industrial Internet Consortium
- A Knowledge Graph Driven Approach for Edge Analytics · Narendra Anand, Accenture Technology Labs · Colin Puri, Accenture Technology Labs
- Industrial IoT Edge Architecture for Machine and Deep Learning · Chanchal Chatterjee, Teradata Inc. · Salim AbiEzzi, VMWare Inc.
- A Practical and Theoretical Guide to Using the Industrial Internet Connectivity Framework · Stan Schneider, PhD. Real-Time Innovations, Inc. · Rajive Joshi, PhD. Real-Time Innovations, Inc.