Partnerships are huge. Especially with industrial automation and software suppliers extending their reach into the enterprise. Here, press releases from rivals Rockwell Automation and Siemens exemplify the pattern. Additionally, this week, I’ve also interviewed Cisco and Intel. Things are getting interesting this spring. We’ll see what I can report back from next week’s Hannover Messe.
Rockwell Automation and Cisco have released new network design guides and white papers to help companies connect mobile devices and deploy end-to-end cloud connectivity while maintaining security best practices. The guides give companies best practices for wired and wireless network architectures when deploying cloud and mobile industrial IoT solutions. The free resources are the latest addition to the Converged Plantwide Ethernet (CPwE) program.
Secure Mobile Connections
The new Identity and Mobility Services guide will help companies connect mobile devices in a way that manages security risks. The guide, based on the Cisco Identity Services Engine platform, supports industrial security by identifying, authorizing and posturing mobile connections at three levels: device, application and user. The guide also helps users establish unified and autonomous WLAN architectures and manage self-service wireless access.
“Mobile devices are changing how we see and manage production,” said Gregory Wilcox, global technology and business development manager, Rockwell Automation. “Workers are accessing analytics on tablets to make better production decisions, even when they’re away from equipment. And they’re using innovations like the FactoryTalk TeamONE app from Rockwell Automation to collaborate through their smartphones. The Identity and Mobility Services guide will help bring these capabilities to life in their facilities while maintaining a strong security stance.”
Connect to the Cloud
The new Cloud Connectivity guide provides guidance for using the FactoryTalk Cloud gateway to establish a more secure connection from the plant floor to cloud-based applications, like FactoryTalk Analytics for Machines. This end-to-end connectivity is essential to deploying capabilities like remote monitoring and support. The design guide addresses the varying levels of security measures that should be considered for small to large companies.
“Industrial companies sometimes focus a lot of their attention on creating an information pathway to the cloud but overlook critical security needs,” said Todd Gurela, senior director, Industry Solutions Group, Cisco. “The Cloud Connectivity design guide will help companies establish end-to-end cloud connectivity while protecting both data paths and the plant network against cyber threats.”
Meanwhile Orange and Siemens
Orange Business Services and Siemens have joined forces to drive the adoption of the Internet of Things (IoT) in the industrial sector by simplifying integration and promoting IoT innovation. The initial focus will be to develop solutions around asset tracking and asset monitoring to optimize the supply chain and improve efficiencies, as well as to develop digitally enhanced products to increase customer satisfaction and create new business models.
The partnership will help businesses connect their machines and physical infrastructure to the digital world, allowing them to translate the wealth of data they produce into business results. Advanced analytics and digital services will help them increase productivity and efficiency across their business.
Orange Business Services brings its global cellular connectivity, consulting, system integration and application development skills to the partnership. The alliance is built around Siemens’ MindSphere, the cloud-based open IoT operating system, and Datavenue, the Orange IoT and data analytics modular offering.
Customers have the option of pre-packaged offerings such as asset tracking, or customized solutions and applications. Orange Business Services will initially provide connectivity components from Datavenue, including cellular and Low Power Wide Area (LPWA) networks. Other Datavenue components will follow.
The partnership will initially focus on Europe, starting with solutions to be rolled out in Germany and Austria.
Much of the interesting activity in the Industrial Internet of Things (IIoT) space lately happens at the edge of the network. IT companies such as Dell Technologies and Hewlett Packard Enterprise have built upon their core technologies to develop powerful edge computing devices. Recently Bedrock Automation and Opto 22 on the OT side have also built interesting edge devices.
I’ve long maintained that all this technology—from intelligent sensing to cloud databases—means little without ways to make sense of the data. One company I rarely hear from is FogHorn Systems. This developer of edge intelligence software has recently been quite active on the partnership front. One announcement regards Wind River and the other Google.
FogHorn and Wind River (an Intel company) have teamed to integrate FogHorn’s Lightning edge analytics and machine learning platform with Wind River’s software, including Wind River Helix Device Cloud, Wind River Titanium Control, and Wind River Linux. This offering is said to accelerate harnessing the power of IIoT data. Specifically, FogHorn enables organizations to place data analytics and machine learning as close to the data source as possible; Wind River provides the technology to support manageability of edge devices across their lifecycle, virtualization for workload consolidation, and software portability via containerization.
“Wind River’s collaboration with FogHorn will solve two big challenges in Industrial IoT today, getting analytics and machine learning close to the devices generating the data, and managing thousands to hundreds of thousands of endpoints across their product lifecycle,” said Michael Krutz, Chief Product Officer at Wind River. “We’re very excited about this integrated solution, and the significant value it will deliver to our joint customers globally.”
FogHorn’s Lightning product portfolio embeds edge intelligence directly into small-footprint IoT devices. By enabling data processing at or near the source of sensor data, FogHorn eliminates the need to send terabytes of data to the cloud for processing.
“Large organizations with complex, multi-site IoT deployments are faced with the challenge of not only pushing advanced analytics and machine learning close to the source of the data, but also the provisioning and maintenance of a high volume and variety of edge devices,” said Kevin Duffy, VP of Business Development at FogHorn. “FogHorn and Wind River together deliver the industry’s most comprehensive solution to addressing both sides of this complex IoT device equation.”
Meanwhile, FogHorn Systems also announced a collaboration with Google Cloud IoT Core to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.
The companies have teamed up to integrate Lightning edge analytics and machine learning platform with Cloud IoT Core.
“Cloud IoT Core simply and securely brings the power of Google Cloud’s world-class data infrastructure capabilities to the IIoT market,” said Antony Passemard, Head of IoT Product Management at Google Cloud. “By combining industry-leading edge intelligence from FogHorn, we’ve created a fully-integrated edge and cloud solution that maximizes the insights gained from every IoT device. We think it’s a very powerful combination at exactly the right time.”
Device data captured by Cloud IoT Core gets published to Cloud Pub/Sub for downstream analytics. Businesses can conduct ad hoc analysis using Google BigQuery, run advanced analytics, and apply machine learning with Cloud Machine Learning Engine, or visualize IoT data results with rich reports and dashboards in Google Data Studio.
“Our integration with Google Cloud harmonizes the workload and creates new efficiencies from the edge to the cloud across a range of dimensions,” said David King, CEO at FogHorn. “This approach simplifies the rollout of innovative, outcome-based IIoT initiatives to improve organizations’ competitive edge globally, and we are thrilled to bring this collaboration to market with Google Cloud.”
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.
Internet of Things platforms are all the rage these days. Seems like every company either has one or is building one. On the other hand, recent news about GE Digital’s Predix and discussions on LinkedIn have thrown a cautioning light on the efficacy of platforms.
When a technology supplier releases a platform the common thread is open connectivity to devices and closed, tightly integrated integration with the supplier’s products. Sometimes there is open connectivity with a variety of databases and analytics engines, but usually not.
A different take was begun by the Linux Foundation driven in the market by Dell Technologies. This take is open source and the drive has been to sign on as many technology companies as possible. Hence, today’s announcement. I have previously written about the EdgeX Foundry here and here.
EdgeX Foundry, an open source project building a common framework for Internet of Things (IoT) edge computing, announced Samsung Electronics Co., Ltd. has joined as a Platinum member. Participating in EdgeX Foundry will support Samsung’s emerging efforts in the industrial sector while expanding the market of EdgeX compatible components and devices.
“The true potential of IoT will be realized with solutions that cross both the consumer and industrial sectors. As one of the largest manufacturing companies in the world, having seamless IoT across our business domains and factories would streamline operations and drive efficiencies, but interoperability is a major challenge,” said Kyeongwoon Lee, Senior Vice President at Samsung Electronics. “EdgeX Foundry delivers the interoperability, flexibility and scalability that businesses need to deploy Industrial IoT solutions without hesitation, and it will enable us to create lightweight edge solutions that can support real-time operations for our manufacturing infrastructures.”
EdgeX Foundry is a project of The Linux Foundation that is building an open interoperability framework hosted within a full hardware- and OS-agnostic reference software platform to enable an ecosystem of plug-and-play components that unifies the marketplace and accelerates the deployment of IoT solutions. Designed to run on any hardware or operating system and with any combination of application environments, EdgeX can quickly and easily deliver interoperability between connected devices, applications and services, across a wide range of use cases.
“Samsung is an active contributor in the open source community and has been a key driver behind IoT standardization supporting consumer devices and smart home technology,” said Philip DesAutels, PhD Senior Director of IoT at The Linux Foundation. “Their manufacturing experience combined with their expertise in consumer electronics, mobile devices and enterprise solutions will be essential to the development of the EdgeX Framework, and we are excited to welcome them into the community.”
EdgeX Foundry has rapidly grown to almost 60 members since its launch in April 2017 and is supported by an active community. More than 150 people from around the world joined EdgeX Foundry face-to-face meetings over the summer to align on project goals, develop working groups and discuss next steps for the project. EdgeX Foundry has also launched a series of technical training sessions called Tech Talks that are designed to help onboard new developers on to the project.