by Gary Mintchell | Jan 20, 2017 | Automation, Internet of Things, Operations Management, Technology
The strongest trend among larger automation suppliers includes signing up partners for their solution ecosystem. Honeywell Process Solutions has built an ecosystem it calls Inspire and it announced recently Aereon will collaborate on solutions to help industrial customers boost the safety, efficiency and reliability of their operations by leveraging Honeywell’s Industrial Internet of Things (IIoT) ecosystem.
“For years, manufacturers and producers have looked for ways to solve operational problems that were believed to be unsolvable – such as unplanned downtime, underperforming assets and inefficient supply chains,” said Andrew Hird, vice president and general manager of Honeywell Process Solutions’ Digital Transformation business. “With the capabilities of the IIoT, we can find new ways to solve those problems. A key part is the creation of an industrial ecosystem that leverages the depth of knowledge and experience of a range of equipment and service providers such as Aereon.”
The Inspire ecosystem is a key part of Honeywell’s Connected Plant initiative that helps manufacturers leverage the IIoT to improve the safety, efficiency and reliability of operations across a single plant or several plants across an enterprise.
Aereon is widely recognized for its innovative air emissions solutions for the complete oil and gas sector, from the wellhead to the gas station. It offers products for flare systems, enclosed combustion systems, high efficiency thermal oxidizers and vapor/gas recovery units.
“Aereon’s fundamental strength is its wide array of fit-for-purpose combustion and vapor recovery products supported by in-house expertise to design, manufacture and support its field-installed base,” said Mark Zyskowski, senior global vice president, Aereon. “We are pleased to be able to bring our expertise to the IIoT ecosystem that Honeywell is developing to help customers around the globe maximize value from their operations by tapping into the power of the IIoT.”
Honeywell and its ecosystem partners are building a simple-to-use infrastructure that gives customers secure methods to capture and aggregate data, and apply advanced analytics. This infrastructure leverages domain knowledge from a vast and unique ecosystem of leading equipment vendors and process licensors, and allows customers to use this information to determine methods to reduce or even eliminate manufacturing upsets and inefficiencies.
With a larger, consolidated data set, manufacturers and producers can apply higher analytics for more detailed insight, scale the data as needed to meet the varied needs of single-site or enterprise-wide operations, and leverage a wider pool of data experts for monitoring and analysis.
“Honeywell’s capabilities in data consolidation, cyber security and software development, combined with the deep industry knowledge of its collaborators, including Aereon, will help customers solve previously unsolvable problems,” said Hird. “These problems include eliminating unplanned shutdowns, maximizing output, maintaining regulatory compliance, increasing safety and optimizing supply chain strategies.”
by Gary Mintchell | Jan 10, 2017 | News, Organizations
There is plenty of time to register for the 21st Annual ARC Industry Forum Industry in Transition: Realizing the Digital Enterprise February 6-9, 2017 – Orlando, Florida. I can’t believe that this will mark my 20th trip to Orlando this time of year.
While in many ways this is an ARC Advisory Group “user group” meeting, almost everyone shows up. For several years now this is the one place where you can go and talk with people from many automation suppliers. And with many engineers and managers who implement and manage automation and information.
You can come to make contacts or pick up on the latest trends.
As for me, I will be looking for new companies and products, a sense of the industry’s direction, and contacts who are looking for someone to help them with things I can assist with—strategic messaging, advice on status of industry and companies, product development ideas. It will also be interesting to get an update on the ExxonMobil attempt to commoditize the DCS (I presume so that it can catch up to peers in modernizing operations). That effort has quieted during the past few months.
ARC tries very hard to limit presentations by suppliers. As technology developers, suppliers can be a source of great information. Unfortunately most of the suppliers have used the Forum in the past to simply promote their company and products. No one is paying to attend a forum to hear from marketing managers. Now if a few people from the CTO’s office spoke…
The comments below are taken from the latest ARC promotion. I see only one supplier listed in the speaker lineup so far.
Industrial companies are starting to employ ‘digitalized’ business processes and exploit the increasing convergence between operational technology (OT), information technology (IT), and engineering technology (ET) on the plant floor. How will disruptive technologies change existing products and plants? How will open source solutions impact traditional software and automation domains? Is cybersecurity a threat to digitalization? How ‘smart’ are smart machines? How do Big Data and predictive and prescriptive analytics enable operational change?
Join us to learn how the digital enterprise benefits from smarter products, new service and operating models, new production techniques, and new approaches to design and sourcing.
Check out these topics:
- Industrial Cybersecurity and Safety Analytics and Machine Learning
- Asset Performance Management
- IT/OT/ET Convergence
- Service Performance Management
- Automation Innovations
- Industrial Internet Platforms
- Connected Smart Machines
Partial List of Executive Speakers:
- S. Dept. of Homeland Security, Marty Edwards, Director ICS Cyber Emergency Response Team
- ExxonMobil Research & Engineering, Don Bartusiak, Chief Engineer, Process Control
- NOVA Chemicals, Doug Lutz, Principal Process Automation Engineer
- Savannah River Nuclear Solutions, Laura Sheets, Tritium Process Control Lead Engineer
- Local Motors, Justin Fishkin, Chief Strategy Officer
- NIST, Adam Sedgewick, Sr. Information Technology Policy Advisor
- Duke Energy, David Lawrence, Technology Development Manager, Emerging Technology
- Merck, Gene Tung, Director of IT
- WAGO, Thomas Holm, Head Innovation & Technology
- Eli Lilly, Kevin Wilhelm, Senior Consultant
- Ascend Performance Materials, Terry Unruh, Maintenance Process Leader
- Kinder Morgan, Lawrence Staab, Training Coordinator/Instructional Designer
- Georgia-Pacific, Michael Carroll, VP Innovation and Operations Excellence
- 3M, Liu Qiao, Technical Director, Software Electronics Mechanical Systems Lab
- Dow Chemical, Glen Mutscher, Global Director, Manufacturing & Engineering
- ExxonMobil Research & Engineering, Steve Bitar, R&D Program Manager
- American Society of Mechanical Engineers, Dean Bartles, Sr. Technology Advisor
- Dow Chemical, Mary Beth Seasholtz, Data Services Technical Leader
- Fluor, David Hoeppner, David Hoeppner
- Shell Global Solutions, Tyler Williams, Global Technology Leader
- Massachusetts Institute of Technology, Stuart Madnick, Professor of Information Technologies and Engineering Systems
- Albermarle, Jonathan Alexander, Operations Engineer
- AGCO, Jan Theissen, Director Strategy & Methods, Global Purchasing & Materials
- Pepsi Beverages, Jeff Russell, SE Regional Engineering Manager
by Gary Mintchell | Dec 19, 2016 | Internet of Things, News, Operations Management, Organizations
Collaboration rules the technical world. A professor who influenced me greatly was ex-CIA (ex?). He would proclaim in our international politics classes during the height of the Cold War that politicians might want to close borders, but scientists would never allow it. “Scientists want to publish their findings,” he would say, “so they will publish and leave out a step in the mathematical proof. It would get past censors, but fellow scientists around the world would figure out the missing steps.”
Our world today is rife with politicians trying to close borders. No, it’s not only Trump in America.
Given the political times, I’m encouraged by all the technology collaboration I see. Last week I posted a year end update by Tom Burke of the OPC Foundation highlighting his work in collaborating with other standards bodies. I have been working with MIMOSA (and recently elected Chief Marketing Officer). This organization has also been working with a variety of organizations.
Last week came news of another collaboration. The Industrial Internet Consortium (IIC), the global, member-supported organization that promotes the accelerated growth of the Industrial Internet of Things (IIoT), announced it has signed a memorandum of understanding (MoU) with the China Academy of Information and Communications Technology (CAICT).Under the agreement, the IIC and CAICT will work together to help ensure interoperability for the industrial Internet in China.
The agreement is one of a number of agreements made by the IIC’s newly formed Liaison Working Group.
Joint activities between the IIC and CAICT will include:
- Identifying and sharing best practices
- Collaborating on testbeds and research and development projects
- Realizing interoperability by harmonizing architecture and other elements
- Collaborating on standardization
“We look forward to working with the China Academy of Information and Communications Technology to help further the development of the industrial Internet throughout China,” said Wael William Diab, Chair, IIC Liaison Working Group and Senior Director, Huawei. “We’re especially excited about joint activity on testbeds and research and development projects that will help advance the adoption of the industrial internet.”
“We highly value the cooperation between CAICT and the IIC,” said Mr. Xiaohui YU, CTO of CAICT. “The collaboration with the IIC will help establish tight relationships between the IIC and Chinese entities and organizations, such as the AII Alliance, and will develop, facilitate and enhance the industrial Internet.”
The Liaison Working Group is the gateway for formal relationships with standards and open-source organizations, consortia, alliances, certification and testing bodies and government entities/agencies.
China Academy of Information and Communications Technology (CAICT) is a research academy under the Ministry of Industry and Information Technology with over 2,400 employees. A specialized think-tank for the government, and an innovation and development platform for the industry, CAICT holds a service portfolio that covers the areas of information and communication technology, the integration of ICT and industries, such as 5G, Internet IoT and industrial Internet, cloud computing, big data, Intelligent manufacturing etc.
As a leading think-tank and platform in ICT field of China, it contributes to the development and innovation of the country and the ICT industry by providing support and services in terms of national strategies, plans, policies, standards, technology labs, testing and certification etc. CAICT is the national core supporting organization for industrial Internet, intelligent manufacturing and Internet relevant actions to the Chinese government, and is involved in the drafting of the “Internet+ action plan,” “Made in China 2025,”and other national strategies and guidance on IoT, Cloud computing, big data and Broadband China, etc. CAICT is currently the leading organization to promote the development of industrial Internet of China.
The Industrial Internet Consortium is a global, member-supported, organization that promotes the accelerated growth of the Industrial Internet of Things by coordinating ecosystem initiatives to securely connect, control and integrate assets and systems of assets with people, processes and data using common architectures, interoperability and open standards to deliver transformational business and societal outcomes across industries and public infrastructure. The Industrial Internet Consortium is managed by the Object Management Group (OMG).
by Gary Mintchell | Nov 30, 2016 | Internet of Things, Operations Management
Have we reached a choke point in the IIoT platform currently in vogue? Glen Allmendinger, founder of Harbor Research, studies the area of connectivity. He continues to move with the times–perhaps even ahead of the times–going from M2M to IoT to (now) Smart Systems.
We should all know by now that the Internet of Things isn’t a Thing. The term was no doubt coined to capture the idea of connecting smart devices over the Internet using Internet protocols. There is a consumer aspect and an industrial aspect to the term. GE coined “Industrial Internet” (although it does not seem to care if the term gains widespread use) which then gave us “Industrial Internet of Things.” Some people then try to merge the term with the German initiative Industrie 4.0. But the only core similarity lies in a foundation of digital technology.
Allmendinger writes in a recent essay about the “failure of IoT platforms.” He is on to a key thought, here. He’s discussing network architecture as much as platforms. Specifically, he sees the failure of client/server architecture to scale and achieve required flexibility. We might as well exploit the power of the cloud and peer-to-peer. I tend to like publish/subscribe. I’m thrilled to see OPC Foundation moving to a pub/sub architecture, for example. Now if it, as well as other standards, would move to REST from SOAP, things would be better.
I’ve included a few excerpts from Allmendinger’s essay. Check out the entire piece here.
Today, platforms for the Internet of Things are still a kludgy collection of yesterday’s technology and architectures that do not address the most basic development challenges.
Today the world of smart communicating devices is mostly organized in hierarchies with smart user interface devices at the top and the dumb devices [often analog or serial sensors and actuators] at the bottom. Within this structure, there are typically various types of “middle box” supervisory and gateway devices forming a point of connectivity and control for the sensors and actuators as well as the infrastructure for the network. From our perspective, this description of today’s IoT systems architecture looks very familiar and is largely organized like client-server based computer systems….. no surprise given they were designed in the 1990′s.
As the Internet of Things opportunity matures, the sensor and actuator devices will all become smart themselves and the connectivity between them (devices, for the most part, that have never been connected) will become more intelligent and the interactions more complex. As the number of smart devices grow, the existing client-server hierarchy and the related “middle boxes” acting as hubs, gateways, controllers and interfaces will quickly start to blur. In this future-state, the need for any kind of traditional client-server architecture will become superfluous. In a future Smart Systems world, the days of hierarchical models are numbered.
This is the move we’ve been waiting for…….. to a truly distributed architecture because today’s systems will not be able to scale and interact effectively where there are billions of nodes involved. The notion that all these “things” and devices will produce streaming data that has to be processed in some cloud will simply not work. It makes more sense structurally and economically to execute these interactions in a more distributed architecture near the sensors and actuators where the application-context prevails.
Dispersed computing devices will become unified application platforms from which to provide services to devices and users where the applications run, where the data is turned into information, where storage takes place, and where the browsing of information ultimately takes place too – not in some server farm in a cloud data center.
From our view the movement towards peer-to-peer, and the view that many people hold that this is somehow novel, is ironic given that the Internet was originally designed for peer-to-peer interactions. We seem to be heading “back to the future.”
Today’s platforms for Smart Systems and the IoT should be taking on the toughest challenges of interoperability, information architecture and user complexity. But they’re not.
We need to creatively evolve to an entirely new approach that avoids the confinements and limitations of the today’s differing platforms. We need to quickly move to a “post platform” world where there is a truly open data and information architecture that can easily integrate diverse machines, data, information systems and people – a world where smarter systems will smoothly interact to create systemic intelligence – a world where there are no artificial barriers between different types of information.
by Gary Mintchell | Nov 29, 2016 | Automation, Internet of Things, Networking, Operations Management
What is an “edge” device in terms of network architecture for today’s Industrial Internet of Things? Classical networking practice has had it’s definition. But how do you extend the definition in today’s industrial networks with perhaps thousands of devices at the edge? Do you label all those smart devices as edge?
I have been spending much time with Dell Technologies and its IoT division. It has built a computing device with a multitude of connection ports, data storage, and computing capability. This device is named Gateway, but it is labeled as an edge device. Meanwhile I interviewed two GE Automation and Controls executives who labeled controllers (PLCs) as edge devices.
I ran across this article by ARC Advisory Group’s Greg Gorbach. I’ve quoted some of it below. You can read it in its entirety here. He analyzes a number of points of view. Does it all matter to you what is called an edge device? How do you configure a modern IIoT network?
Power of Edge – Greg Gorbach
What is the industrial edge, and why does it matter? Is it network infrastructure? Can the edge be found in a sensor that feeds a controller in a plant? Or is it in a smart machine that’s in service halfway around the globe?
In networking, an edge device is a device which provides an entry point into enterprise or service provider core networks. Examples include routers, routing switches, integrated access devices, multiplexers, and a variety of local area network (LAN) and wide area network (WAN) access devices. Edge devices also provide connections into carrier and service provider networks. Network providers and others have been pushing intelligence – compute power and the ability to run applications and analytics – to these edge devices for some time.
But the growth of the Industrial Internet of Things (IIoT) extends the ‘edge’ beyond the network devices, into industrial and commercial devices, machines, and sensors which connect to the network. Edge computing and analytics can, often should be, and increasingly is close to the machines and data sources. As the digitization of industrial systems proceeds, we expect that analysis, decision-making, and control will be physically distributed among edge devices, the network, the cloud, and connected systems, as appropriate.
These functions will end up where it makes most sense for them to be.
IIoT will change the way industrial organizations generate, collect, and analyze data. Data will be generated faster and in greater volume than ever before. This will require today’s plant information infrastructure to evolve. One part of this new infrastructure will be intelligent edge devices, which will include the latest generation of controllers, such as DCS’s, PLC’s and PACs. Besides providing control, these edge devices will securely collect, aggregate, filter, and relay data, leveraging their close proximity to industrial processes or production assets. They will also be capable of collaborating with powerful analytics tools, detecting anomalies in real time, and raising alarms so that operators can take appropriate actions.
With edge computing and analytics, data is processed near the source, in sensors, controllers, machines, gateways, and the like. These systems may not send all data back to the cloud, but the data can be used to inform local machine behaviors as it is filtered and integrated. The edge systems may decide what gets sent, where it gets sent and when it gets sent.
Placing intelligence at the edge helps address problems often encountered in industrial settings, such as oil rigs, mines, chemical plants, and factories. These include low bandwidth, low latency, and the perceived need to keep mission critical data on site to protect IP.
As you think about digitizing and transforming your industrial operations or your products and services, pay special attention to the edge. Consider the optimal location for analysis, decision-making, and control, and the best way to distribute these among edge devices, the network, the cloud, and other connected systems.
