I picked this news item up from The Economist Espresso app.
For years, technologists have gushed about the promise of the “Internet of Things”, enabling ordinary objects—from kettles to cargo ships—to communicate autonomously with each other. The two essential technologies speeding the IOT’s arrival, inexpensive sensors and super-fast networking kit, are advancing rapidly. Gartner, a research group, predicts that the global number of devices embedded with sensors will leap from 8.4bn in 2017 to 20.4bn in 2020. So is 5G, a telecoms-networking technology superior to today’s 4G mobile networks. But the world’s 5G system could split into two different and potentially incompatible entities. One has been developed by Huawei, a Chinese telecoms-equipment giant, at a cost of $46bn. But some are worried about the company’s links to the Chinese Communist Party. Several countries, led by America, have banned the use of Huawei’s gear in their systems for security reasons. The year 2020 could herald the arrival of the Splinternet of Things.
I daresay that most likely many countries in the world are concerned about the ability of the US government to monitor internet traffic through the technology of American companies. These swords always cut two ways when you take the larger view.
More relevant to this topic, though, could a potential splintering into two 5G systems globally impact IoT?
In the short term from what I can gather interviewing technologists, benefits from 5G will accrue from the ability for private, plant-wide broadband rather than from some global linking of sensors.
Perhaps we are a bit early for journalists’ raising fear, uncertainty, and doubt. Listening to people actually building out the technology, I think we are going to experience much benefit from 5G in the not-to-distant future.
Suppliers of manufacturing software, some from surprising places, are putting sizable investments into products that will help customers reap the rewards of digitalization. Today, I’m looking at both ABB and Emerson Automation Solutions. Previously I checked out GE Digital and Rockwell Automation. Each has taken a slightly different course toward the goal, but notice the common thread of enhancing software products to help customers prosper.
ABB enhances manufacturing management technology
The new version of ABB Ability Manufacturing Operations Management will offer new features including:
- Enhanced user experience based on new HTML 5 web client;
- A new smart interactive dashboard application that provides greater visibility and collaboration;
- A new statistical process control (SPC) application, to determine if each process is in a state of control;
- A new Batch Compare application – for advanced batch analysis.
“ABB Ability Manufacturing Operations Management is a comprehensive, scalable and modular software suite that optimizes visibility, knowledge and control throughout the operations domain,” said Narasimham Parimi, Head of Digital Products – Product Management, Process Control Platform. “This release provides a range of rich new functionality and a new enhanced user experience that enables operations to become more productive and responsive.”
ABB Ability Manufacturing Operations Management is designed to simplify production management by enabling performance monitoring, downtime management, and maintenance support, as well as providing statistical production analysis tools. It provides solutions and tools to facilitate the collection, consolidation and distribution of production, quality and energy information via the plant’s web-based reports, trends, and graphs.
A new, self-service dashboard application promotes increased collaboration, providing visibility from shop floor to top floor and spanning IT and OT environments. It increases data connectivity to all apps and modules within the MOM suite, combining historic and manufacturing data and providing the user with improved customization capabilities. Dashboards can be shared amongst users, further promoting collaboration between teams. Trends and events are displayed together, which enables customers to identify issues and opportunities enabling informed and timely decisions.
The new common services platform features an HTML 5 web platform that runs across all suites ensuring customers have a seamless user experience, so that applications can be viewed on different devices right down to a 10-inch tablet.
Statistical data process control (SPC) is used in manufacturing to determine if each process is in a state of control. The new SPC application works across all the different apps and modules and helps the user to improve quality and production related performance.
In addition to the existing Batch View and Batch Investigate features, a comparison option has been added to the platform’s batch analysis applications, allowing different types of comparison.
Cyber security remains one of the key issues in the advancement of Industry 4.0, and the new features in MOM include enhanced security.
Emerson Expands Analytics Platform
Plantweb Insight platform adds two new Pervasive Sensing applications that manage wireless networks more efficiently with a singular interface to the enterprise.
Emerson has added two new IIoT solutions to its Plantweb Insight data analytics platform that will enable industrial facilities to transform the way they manage their enterprise-level wireless network infrastructure.
As digitalization and wireless technology adoption continue to rapidly expand in industrial facilities throughout the world, the need for greater visibility of network infrastructure performance is key. These new Plantweb Insight applications provide a quick-to-implement, scalable IIoT solution that helps customers advance their digital transformation strategies and achieve greater operational efficiencies.
The new Plantweb Insight Network Management application provides continuous, centralized monitoring of WirelessHART networks. This first-of-its-kind application provides a singular, consolidated view of the status of all wireless networks in a facility, with embedded expertise and guidance for advanced network management.
A key feature of the Plantweb Insight Network Management application is a configurable mesh network diagram, providing visualization of network design and connections along with device-specific information. It also provides an exportable record of syslog alerts, network details outlining conformance to network best practices and more.
While the new network management application provides a holistic look at wireless networks, the Plantweb Insight Power Module Management application drills down to the device level, allowing facilities to keep their wireless devices appropriately powered so they can continuously transmit key monitoring data. By aggregating power module statuses, users can evolve traditional maintenance planning and implement more efficient and cost-effective practices.
“We were able to infuse a decade of experience with wireless technology into these new offerings,” said Brian Joe, wireless product manager with Emerson’s Automation Solutions business. “Our customers will now be able to manage and improve hundreds of networks through a singular interface, realizing significant efficiencies in individual network and wireless device management and maintenance.”
These new applications further enhance the Plantweb Insight platform, a set of pre-built analytics primarily focusing on monitoring key asset health. Other applications in the platform include pressure relief valve monitoring, heat exchanger monitoring and steam trap monitoring.
Top Tens and Top Twenties of the past or future year have never been my favorites. However, one can perceive trends and strain out little nuggets of gold by scanning several. Especially industrial taken broadly along with Internet of Things (IoT) and other current digital trends. I just had an interesting chat with Sean Riley, Global Director of Manufacturing and Transportation for Software AG, who released his Top Ten for 2020.
Following are his ideas interspersed with a few of my comments.
Cost Management Becomes Exceptional
As uncertainty enters the global manufacturing outlook, enterprises will become myopically focused on cost reductions. This will drive organizations to find more efficient methods of providing IT support, leveraging supplier ecosystems and simplifying value chains. [GM-much of my early work was in cost management/reduction; this is a never-ending challenge in manufacturing; however, tools continue to evolve giving us more and better solutions.]
A Blurred Line Between Products & Services
Manufacturers continue their product innovation quest and more manufacturers will begin focusing on how to deliver products as a service. The Manufacturers that have already created smart products and have elevated service levels will now begin to work out the financing considerations needed to shift from a sales based to a usage based revenue model. [GM-This is a trend most likely still in its infancy, or maybe toddler-hood; we see new examples sprouting monthly.]
Moving To Redefine Cost Models To Match Future Revenue Streams
Anticipating the shift to continual revenue streams, manufacturers will seek to shift costs to be incurred in a similar manner. This will be initially seen as a continued push to subscription based IT applications. While much progress has already been made, a larger focus will occur. [GM-I like his idea here of balancing capital versus expense budgets, continually finding the best fund source for shifting costs.]
IT Focuses on Rapid Support for Growth
The lines between business and IT users become blurred as no-code applications allow for business users to create integration services. IT professionals will leverage DevOps & Agile methodologies alongside of microservices and containers to rapidly develop applications that are able to generate incremental growth as requested by business users. This will be critical to the near term success for manufacturers, especially with economic headwinds that seem to be growing stronger. [GM-I didn’t ask about DevOps, but this idea is springing into the industrial space; cloud and software-as-a-service provide scalability both up and down for IT to balance costs and services.]
Industrial Self-Service Analytics Become Mission Critical
Industrie 4.0 / Smart Manufacturing initiatives continue to receive greater amounts of investment but in the near term, manufacturers will focus on unleashing the power of the data they already have. Historians, LIMS, CMMS’ have valuable data going to and in them and enabling production engineers to leverage that data rapidly is critical. Industrial Self-Service Analytics that allow production and maintenance professionals to leverage predictive analytics without IT assistance will sought as a powerful differentiating factor. [GM-we are beginning to see some cool no-programming tools to help managers get data access more quickly.]
Industrie 4.0 / Smart Manufacturing Initiatives Continue to Draw Investment
It’s no surprise that Manufacturers will continue to invest in Industrie 4.0 as the promises are great however, the scaled returns have not been realized and won’t be realized in the near term. The difficult of implementing these initiatives has surpassed manufacturers expectations for several reasons. First, traditional OT companies were trusted to deliver exceptional, open platforms and that wasn’t delivered. Secondly, collaboration efforts between IT & OT professionals proved to be more convoluted and difficult than expected. [GM-I’m thinking these ideas became overblown and complex, and that is not a good thing; to swallow the whole enchilada causes stomach pain.]
Artificial Intelligence Enters the Mix
AI won’t allow for users to sit back and relax while AI handles all of their tasks for them but it will make an appearance in back office tasks. Freight payment auditing, invoice payment and, in some select areas, chatbots will be the initial main stream uses of AI and will be seen as not becoming an anomaly but be understood to be more mainstream this year. [GM-I think still an idea looking for a problem; however some AI ideas are finding homes a little at a time.]
3D Printing Find New Uses
While this technology has steadily crept into production lines, the push towards usage based product pricing will have the technology move into after market services. Slow moving parts will be the first target for this technology which will help to free up much needed working capital to support financial transformation. [GM-watch for better machines holding tighter tolerances making the technology more useful.]
5G & Edge Analytics Enable New Possibilities
As Industrie 4.0 is continued to be pursued, Manufacturers will implement new initiatives that could not previously be realized without the high speed data transmission promises of 5G or the ability to conduct advanced analytics at the edge where production occurs. This will also provide manufacturers with new methods to securely implement Smart Manufacturing initiatives and in new locations that were not previously feasible due to connectivity issues. [GM-5G is still pretty much a dream, but there is great potential for some day.]
Security Still Remains a Critical Focus
With the increasing rate of IoT sensors, IT-OT convergence, the usage of API’s and the interconnectivity of ecosystems ensuring data security remains a top priority for manufacturers. As more data becomes more available, the need to increase levels of security becomes ever greater. [GM-ah, yes, security–a never-ending problem.]
Suddenly the wireless networking side of IoT connectivity is hitting my radar. Since the culmination of the “wireless wars” of 10 years ago, this technology/market area has settled into supplying usable products. This information came from Honeywell—In short, by supplying ISA100 Wireless and WirelessHART connectivity to Cisco’s next-generation Wi-Fi Access Point, Honeywell’s OneWireless IoT Module can help users increase industrial plant productivity, worker safety, and digital transformation readiness.
Honeywell is developing a OneWireless IoT Module for the next-generation of Cisco’s industrial access points, the Cisco Catalyst IW6300 Heavy Duty Series Access Point. The Honeywell and Cisco technologies will form the backbone of Honeywell’s OneWireless Network.
The joint wireless solution enables Honeywell customers to quickly and easily deploy wireless technologies as an extension of their Experion Process Knowledge System (PKS). Combining the leading IT network technology by from Cisco and the leading Honeywell OneWireless multi-protocol technology provides customers with a single infrastructure that meets all their industrial wireless needs.
“For the past decade, Cisco and Honeywell have worked together to deliver secure, wireless solutions to connect mobile workers and field instrumentation in the most challenging process manufacturing environments,” said Liz Centoni, senior vice president and general manager, Cisco IoT. “We’ve had great success in bringing IT and operational teams together to reduce complexity and improve efficiency. Now, we are building on that foundation to extend the power of intent-based networking to the IoT edge.”
When combined with the Honeywell OneWireless IoT Module, the Cisco Catalyst IW6300 Heavy Duty Series Access Point offers the security, speed, and network performance needed to allow the seamless extension of the process control network into the field.
“The OneWireless IoT Module is Honeywell’s latest innovation as a leader in wireless technology,” said Diederik Mols, business director Industrial Wireless, Honeywell Process Solutions. “Our customers will benefit from OneWireless functioning as a seamless extension of Experion PKS and simplified deployment made possible by integrating the IoT module and aerials into a single unit.”
OK, the headline came from IHS Markit | Technology, an Informa Tech market analyst company. The answer from me.
One of the value adds of analyst firms is to provide market research studies. Where once I received industrial market information from just one analyst firm, now several send me updates. Helps round out information. But these are always estimates, and prone to some error. It’s a good guide though.
This research looks at Industrial Internet of Things (IIoT) nodes. It also does the analyst thing of providing some guidance on implementation. The research is interesting. The guidance requires another post on management practices, I think. However, what I’m hearing is that some executive reads about IIoT and picks an unlucky person to head up the project. A pilot project is authorized, mostly completed, and mostly forgotten.
Notes from the Report
The global IIoT business is arriving at a tipping point, with the industry reaching a connectivity milestone next year that will pave the way for market-changing events like the proliferation of cloud-based technologies. These developments will help propel annual IIOT node shipments to 224 million units in 2023, a 100 million unit increase from 124 million in 2018.
However, despite the industry’s progress, about half of all IIoT deployments are failing. All too often, these deployments are being hamstrung by planning breakdowns, including the failure to set reasonable objectives and to gather support and cooperation from critical personnel within organizations. Without addressing these issues, the global IIoT market could face major challenges in reaching its growth potential.
The connection inflection
Industrial assets have traditionally employed fieldbus for connecting to the industrial network, and while Ethernet solutions have been in place for a couple of decades, their adoption has been slow. However, after years of making progress in the market, Ethernet is set to displace Fieldbus as the primary network medium for the first time in 2020. Ethernet will account for 43 percent of IIOT node shipments next year, compared to 41 percent for Fieldbus.
“There are now more than 1 billion connected devices on factory floors around the world,” said Alex West, senior principal analyst, industrial technology, at IHS Markit | Technology. “This massive installed base is about to reach a tipping point, with Ethernet overtaking Fieldbus in 2020. The proliferation of Ethernet is enabling the transmission of larger volumes of data. This will ultimately bring in technologies like the cloud that are going to supercharge the IIOT business.”
Connecting to reduce downtime
The arrival of a faster connectivity solution will allow manufacturers to utilize cloud-based solutions to reduce downtime.
“One of the really significant challenges faced by industrial companies is unplanned downtime,” West said. “Just to quantity that challenge, it’s estimated in the automotive industry that $20,000 to $30,000 per minute is lost through unplanned downtime. New applications enabled through IIoT, maintenance and asset-health monitoring, are really helping overcome these challenges. We’ve estimated around a 30 percent average saving or reduction in unplanned downtime can be achieved through industrial IoT solutions.”
The benefits of IIoT solutions facilitated by enabled devices can be realized across the entire lifecycle of production, from product design, to monitoring inventory levels in the supply chain.
For example, Harley Davidson, a few years ago was facing business challenges in terms of fulfilling customer requirements. By improving the connectivity of its plant, the company was able to reduce the time to meet new orders filled from 21 days down to six hours.
Addressing IIoT deployment fails
While faster connectivity holds great promise for expanding the IIoT market, the reality is that current deployments are failing as often as they succeed.
“At the proof-of-concept phase, about half of IIoT projects are failing—which is acceptable for companies attempting to be agile and trial new applications,” West said. “However, there is a similar failure rate when companies move to the deployment stage. This means companies are investing enormous sums in these projects but aren’t getting the payback they expected.”
The failure of a project is defined as not meeting the customer’s expected payback. Many times, the high failure rate can be attributed to inflated expectations. A total of 50 percent of companies expect to see payback within one year, although many of these projects can take much longer to generate returns.
IHS Markit | Technology recommends manufacturers take the following steps to increase their chances of IIoT success:
- Specify the project by determining in advance which exact challenges you want IIoT to address.
- Start small, with some pilot projects of concepts to see how the technology can be utilized.
- Go right to the top, with senior-level management support for projects.
- Get the urge to converge, by ensuring support from all relevant functional groups.
- Leverage your people power, by getting staff involved with deploying the technology and encouraging them to view IIoT not as a threat, but as an augmentation to their job capabilities.
The Linux Foundation and its LF Edge project continues to gain momentum. Here are two new open source announcements.￼
- “Baetyl” and “Fledge” join LF Edge ranks as newest projects, expands LF Edge’s reach across geographies and industries
- IOTA Foundation, SAIC Foundation (TESRA), Thunder Software, and Zenlayercommit to innovating at the open source edge by joining as members
- LF Edge helps open source move to commercialization with Akraino RI, EdgeX Foundry Edinburgh release and Open Glossary of Edge Computing v2.0
LF Edge, an umbrella organization within the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, announced addition of two new projects and four new members.
Baetyl, an existing project contributed by Baidu and previously known as “OpenEdge,” extends cloud computing, data and services seamlessly to edge devices. Fledge, an existing project contributed by Dianomic and previously known as “Fog Lamp,” is an open source framework and community for the industrial edge focused on critical operations. Baetyl and Fledge join the organization’s founding projects: Akraino Edge Stack, EdgeX Foundry, Home Edge, Open Glossary of Edge Computing, and Project EVE. Concurrently, IOTA Foundation, SAIC Foundation (TESRA), Thunder Software, and Zenlayer join as General members.
“It’s incredible to witness such strong industry support for collaborative innovation to create an open source framework at the edge,” said Arpit Joshipura, general manager, Networking, Automation, Edge & IoT, the Linux Foundation. “In just nine months, LF Edge has seen tremendous growth across the board. We couldn’t be more pleased to welcome our newest members and projects. Added expertise in industrial edge, manufacturing, energy, and more brings the community and ecosystem closer to a more comprehensive edge stack, delivering shared innovation across technology sectors at the edge.”
Launched in January of this year, LF Edge’s seven projects support emerging edge applications across areas such as non-traditional video and connected things that require lower latency, and faster processing and mobility. By forming a software stack that brings the best of cloud, enterprise and telecom, LF Edge helps to unify a fragmented edge market around a common, open vision for the future of the industry.
About the Newest Projects
Previously known as “OpenEdge” and initiated by Baidu, Baetyl is China’s first open source edge computing platform and is now part of the LF Edge umbrella of projects. It seamlessly extends cloud computing, data and services to edge devices, enabling developers to build light, secure and scalable edge applications. The result is stronger processing power delivered to edge devices like smart home appliances, wearables and other IoT devices. Baetyl joins LF Edge as a Stage 1 project.
“In the era of 5G and IoT, edge computing will have tremendous opportunities to play a role in all fields and industries,” said Watson Yin, Vice President of Baidu and the General Manager of the Intelligent Cloud business group. “As a founding member of LF Edge, Baidu Intelligent Cloud decided to donate Baetyl, the intelligent edge computing framework, to the community, hoping to reciprocate the open-source community while continuously contributing cutting-edge technologies to the global technology ecosystem. The leading edge-computing technology and framework will further accelerate the implementation of cloud + AI in a wider range of industries with a bigger scale and lead the global AI industry into a new chapter of industrialized production.”
Fledge is an open source framework and community for the industrial edge focused on critical operations, predictive maintenance, situational awareness and safety. Contributed by Dianomic and formerly known as “FogLAMP,” Fledge is architected to integrate IIoT, sensors and modern machines all sharing a common set of administration and application APIs with industrial “brown field” systems and the cloud. Fledge developers build smarter, better, cheaper industrial manufacturing solutions to accelerate Industrial 4.0 adoption. Fledge joins as a Stage 1 project.
Fledge works closely with both Project EVE and Akraino. Project EVE provides system and orchestration services and a container runtime for Fledge applications and services. Fledge’s verticals (manufacturing, energy, etc.) are starting to roll out 5G and private LTE networks; using Akraino blueprints, Fledge applications and services can be consistently managed as they utilize 5G and private LTE networks.
“The LF Edge’s efforts for an open, interoperable framework for the edge is especially needed for the industrial factory, plant and mine where most every brown field system, piece of equipment or sensor uses its own proprietary protocols and data definitions,” said Tom Arthur, CEO and co-founder of Dianomic Systems. “Fledge was architected and built with the help of suppliers and operators in energy, oil and gas, manufacturing, mining, food processing and pharmaceutical industries. Being designed specifically for the industrial edge, Fledge is the ideal LF Edge framework for industrial operators, system integrators and equipment providers to embed, deploy, contribute and build a thriving industrial open source community.”
“OSIsoft has been building software to break down the silos in industrial systems but with IoT these silos are multiplying to smart equipment, new sensors, and many other sources of data. We have supported the construction of Fledge by Dianomic Systems. Fledge is an open source tool that presents these data to the outside world and look forward to vastly increasing the scope of data that we can all ‘see.’ This is integral to the fields of automation, energy conservation, safety and health,” said Pat Kennedy, Founder and CEO OSIsoft.