by Gary Mintchell | Jun 30, 2016 | Automation, Internet of Things, Operations Management, Software
Software platforms that provide specific “apps” for industrial applications was the theme of the week for me. I received a better look at Siemens’ Mindsphere along with a competitor’s app that I’ll discuss in a later post. Tuesday and Wednesday this week found me in Las Vegas at the 2016 Automation Summit—Siemens US users group. There were many sessions and quite a lot of training for customers.
The keynote was given by Klaus Helmrich, a member of the managing board of Siemens. He continued the theme repeated during Hannover Messe—digitalization. His point was that digitalization enhances competitiveness, time to market, flexibility, quality, efficiency. You design in the virtual world; take it to real world; receive feedback from real world to the virtual world to assure design is current to reality.
Although I’ve been told that Europeans are not fond of the term “ecosystem” in this context, Helmrich uttered the “e-word”. The Digital Enterprise Ecosystem enables customers toe realize their wish to interact with the production process making their product.
Memorable quote—“using software is key to realization of Industry 4.0.”
Maintenance and Reliability
Terry O’Hanlon CEO of ReliabilityWeb.com and Uptime magazine invited me to a panel presentation he was on. From the description in the program, I’d probably have never looked a second time. Plus, I’m not fond of panels. Usually each one talks for 10-15 minutes and then there is 10-15 minutes at the end for questions.
This one went against that grain. Each panelist gave about 2 minutes of their interest in the topic, then moderator Bob Vavra, editor of Plant Engineering magazine, proceeded directly to asking questions of the panel. The panel did not just sit back but each chimed in appropriately.
They did hope to hold questions to the final 15-20 minutes of the 105-minute session, but the audience would have none of that and started waving hands to ask follow up questions soon after the beginning.
The other panelists were Jagannath Rao, President of Siemens Industry Services; Brian Clemons, process automation manager at Dow Chemical; and, Keith Jones, of Prism Systems—an integrator.
It was a wide-ranging discussion. So, here are some quotes that capture some of the flavor of the discussion.
O’Hanlon, “What maintenance delivers is capacity.”
Clemons, “We bring a new process into the plant, but we’re still dealing with the same people.”
Clemons, Reliability usually talks MTBF, but what is really important is MTTR (repair or recover).
Rao, “Technology Suppliers more than component sellers, but look at larger solution.”
Jones, “Big data going to analytics is a difficult proposition—both doing and defining.”
O’Hanlon, “You need sensors that are appropriate to the health of the asset. That’s why you need predictive analytics.”
Jones, “IoT increasing traffic on network is a burden and sometimes affects production.”
O’Hanlon, “Reliability as a function of the business case.”
Data Analytics — Mindsphere
MindSphere is Siemens Cloud for Industry built on SAP HANA. It is a platform, which Siemens, customers, and OEMs can build software apps (App Store) on top of.
Speakers acknowledged that some customers are still uncertain about the cloud, but the cloud is where analytics run.
One app already developed is control loops. Customers can connect selected control loops, send data to cloud, analytics check for status of tuning and other things. The customer gets a dashboard. The analytics can even see stiction in valves.
This solution (like many) moves the software expenditure from CapEx to OpEx (note: look for this as a theme for how technology suppliers are beginning to price software).
This formula:
Domain Knowhow + Context Knowhow + Analytics Knowhow = Customer Value
is the foundation of app development.
Siemens has a product “MindConnect” secure data acquisition box. This is a similar idea to the Dell IoT Gateway or Advantech. These edge computing and communicating engines are the current IoT trend.
Current apps include:
Drivetrains (gearboxes)
Energy
Networks
Machine Tools
Control Loops
Cyber-security
by Gary Mintchell | Apr 28, 2016 | Automation, News, Operations Management
Echos of Industrie 4.0 were present around the Hannover Messe 2016, but times have moved on since 2013. The word of the week was digital–in many forms, such as digitalization, digital enterprise, digital factory.
Chancellor Merkel and President Obama (two friends says the headline) were not digital, however, as they made a grand tour through parts of the trade fair highlighting the latest manufacturing technologies. And when the US President appears, the rest of the world stops. There were a reported 10,000 police in Hannover. The building I was in during the tour was surrounded by police, we could see snipers on the buildings around us, and we were locked in from 9 am until 1 pm. Fortunately, we had food.
Fortunately also for Siemens, they had a “captive” audience for their press conference for an extra couple of hours.
Siemens captured a large chunk of my time in Hannover. (Disclaimer, two divisions of the company paid some of my expenses.) Because I had some good contacts, I was able to get many interviews and looks behind the scenes. But the main reason I spent much time there was that Siemens had much to show.
Digital Manufacturing Vision
The digital manufacturing vision that Anton Huber laid out for me at the ARC Forum in Orlando in 2006 has progressed considerably. With a backbone of Internet of Things technologies and adding in digital everywhere, Siemens revealed the benefits of bringing everything together.
Take a tour through automobile production, for example. Sebastian Israel took me through the process from designing in Siemens CAD solution (NX), to production planning and engineering (TeamCenter, both from Siemens (PLM). The process continues through designing and engineering the line–digitally of course. Because it is digital first, engineers can simulate the line removing constraints and interferences before any steel is cut.
Integrating the automation and controls to the process is the hardest part of the system. Siemens has begun this process. It does acknowledge much work remains in this area. Mechatronics integration is well along. Things do not stop here, though. TeamCenter helps with change management. TiA Portal enables control engineering collaboration. The process feed the execution level (MES) for production scheduling and other functions including feeding the resource manager of CNC tools to help select the proper next tool to use. This integrates into services–data is usable for such analyses as predictive maintenance.
So far as I can tell, no other company comes close to the ability to do all this within its own umbrella. Although remarkable for what I’d call the “old” Siemens, the “new” Siemens actually uses partnerships to fill the gaps in the system. This is not the same company I met 15 years ago.
I congratulate Mr. Huber for the vision and seeing it through to its current state.
Other Siemens News
Rihab Ehms led a personal tour on TIA Portal Engineering Software. This product continues to develop and flesh out gaps. The first glimpse from a few years ago was pretty much that of an Integrated Development Environment for programming control. Slowly, the Siemens team added drives, HMI, and now motion control and motor management. Also included is energy management. It is a multiuser environment enabling broad collaboration among engineers using a “smart library” concept and common data management.
Ulli Klenk, next on my list, discussed Industrial Additive Manufacturing. I mentioned some interviews I’ve had on additive manufacturing research at North Carolina State. A Duke grad, he was a bit disappointed. His passion showed on the ways Siemens is helping customers with additive manufacturing (also known as 3D printing). Leveraging expertise from Siemens PLM and working with partner machine builders, the company has systems working in a number of application.
Not part of this exhibit but thoroughly fascinating as well, Local Motors sent an engineer to participate in the Siemens booth showing how the company is building a complete car (and now a minibus) using additive manufacturing methods.
The paper industry faces challenges as we all reduce the amount of paper we use. It is searching for alternatives to its product lines. Therefore the broadening of the industry term to “fiber.” Siemens is there, of course, to blend its process control, drive systems, simulation, and predictive maintenance capabilities. Dr. Hermann Schwarz explained the technologies and then said these technologies will help the paper industry broaden into the fiber industry.
One last technology that I didn’t tour but heard much about is MindSphere. Partnering with SAP HANA, this is an industrial cloud providing data driven services and eventually an App Store so that customers can wring the most value possible from their own data.
Not a Chance
When this vision was explained in 2006 and 2007, I didn’t think there was any chance Siemens could pull it off. The pieces are coming together well. They still have much work to do, but customers can certainly benefit right now with increased manufacturing flexibility, product quality, and efficiency.
by Gary Mintchell | Apr 19, 2016 | Internet of Things
Dell, Fog IoT Alliance
I’ve been writing about Dell’s entrance into the manufacturing/industrial space since last October. It introduced its Internet of Things products, Edge Gateway, at Dell World. Recently its embedded computing line was announced. (Disclaimer: Dell is a client.) Several people wrote to me after that last announcement to say something like, “About time.”
Internet of Things Partners
Further expanding its efforts, Dell is launching the Dell IoT Solutions Partner Program for the advancement of Internet of Things (IoT) technologies and solutions. The program builds an ecosystem of partners to help customers navigate the fragmented IoT landscape and identify the right technologies to develop their IoT solutions. Dell will offer participating partners access to its robust and reliable product portfolio, world-class support and increased opportunities for incremental business growth.
The program will combine a global, multi-tiered (Executive, Associate, Registered) network of experienced Independent Software Vendors (ISVs) with Dell’s broad portfolio of IoT assets, including purpose-built intelligent gateways, embedded PCs, security and manageability tools, data center and cloud infrastructure, and data integration and analytics software like Boomi and Statistica. These assets will help organizations develop, deploy and maintain leading-edge IoT solutions.
“Dell believes that opportunities increase when you help others win,” said Andy Rhodes, executive director, Commercial IoT Solutions, Dell. “We are passionate about collaborating with this strong group of companies and believe ISVs are critical in building the bridge between the exciting industry potential of IoT and profitable market reality.”
Dell works with Information Technology (IT) and Operations Technology (OT) organizations to create a unifying IoT strategy for bridging their differing business approaches. The IoT Partner Program will include companies across a wide range of industries that further strengthen Dell’s expertise in areas such as industrial and building automation and transportation. It launches with more than 25 partners including GE, SAP, Software AG, Microsoft, OSIsoft and others, many of which are utilizing the Dell Edge Gateway 5000 Series to power their own IoT solutions. Dell also continues to build relationships with systems integrators (SIs) with vertical expertise and deployment scale.
Additional partners include Azeti, Blue Pillar, Datawatch, Eigen Innovations, Flowthings, Flutura, GE, Kepware, Lynx Software, Microsoft Azure, OSIsoft, Relayr, SAP, Software AG, and Thingworx.
Kepware’s Role
Creating use case blueprints is one of the many ways Dell is working with partners to help customers speed up their Internet of Things projects and make sense of the vast ISV landscape. Dell, Kepware, and Software AG are collaborating to develop IoT enabled predictive maintenance models utilizing distributed analytics to address the industry’s biggest operational challenges, such as unplanned downtime, overall equipment effectiveness, maintenance cost and return on assets.
Specifically looking at Kepware’s role with the Partner Program and the Predictive Maintenance model, I had the opportunity to interview Eric Dellinger, Kepware’s IoT manager. We’ve met several times, most recently at the Industry of Things conference in San Diego last February. We caught up by phone this time.
Dellinger told me he had been talking with Dell for six or seven months about various partnership and collaboration opportunities. “One great benefit,” he said, “is getting access to hardware and being part of marketing initiatives. Another great thing with program has been ease of working with them. Sometimes companies hold you at more of an arm’s length. Dell is dealing in a more strategic manner. For example, our work with Dell on the predictive maintenance model where it outlines how to go to market. And it shows how various vendors can go together to create a solution. This is a really nice approach to collaborate on an initiative.”
There are other benefits to Dell’s approach such as sharing go-to-market strategies, leveraging training, and leveraging each other’s channel, continued Dellinger. “Then there is what it looks like to embed a solution in the IoT box. Maybe we can include ThingWorx (another PTC company) app development platform. Or we can go off-the-shelf with Software AG and SAP on a solution. This open program offers a way of thinking from customer’s perspective, bringing innovative solutions. There is less pushing products specifically and more on finding solutions.”
Part of joining the partner program is certifying products run on the platform. Dellinger said, “So on the certification process, we installed our product on the Dell IoT Gateway connecting to a Rockwell Automation PLC using the MQTT protocol to send data to the cloud and had it up and running in 10 minutes.
by Gary Mintchell | Mar 1, 2016 | Automation, Internet of Things, Networking, Operations Management, Safety, Wireless
Enabling Industrial Internet of Things (IIoT), Reliability, Scalability, and pursuing Real ROI encompass the current mantra of Fluke. Maybe you only know that company for its multimeters or infrared cameras. Well, there is much more behind the curtain.
The company has focused product development on mobile solutions, wireless communications, and data. This quarter’s product releases reflect all of that.
Infrared
The new Fluke Ti450 Infrared Camera takes focus to a new level of clarity with MultiSharp Focus. An out-of-focus thermal image can give you data that may lead to misdiagnosis — potentially costing you thousands — with no way to correct it once it has been captured, short of taking new images. This new infrared camera solves this problem by delivering images automatically focused throughout the field of view.
“We are excited to announce this new technology, because it makes a real difference in situations where you have objects at multiple distances that you want in focus. Places like substations, motors driving a long production line, or electrical panels with components at varying depths,” notes Chris Rayburn, thermography business director.
MultiSharp Focus is a new technology that rapidly takes multiple images and combines them to produce one in-focus image. The advanced focusing system enables users to capture an automated, focused image of multiple targets at once, delivering the image clarity needed by professional thermographers and maintenance managers to produce top-quality results and avoid costly rework.
Waveforms
Today’s industrial machinery is more reliable and efficient, but can also be more difficult to troubleshoot because of the complexities of its advanced systems. The new Fluke ScopeMeter 120B Series Industrial Handheld Oscilloscope features Connect-and-View technology that recognizes signal patterns and automatically sets up the scope’s triggering, amplitude, and time base eliminating the typical trial-and-error setup process. Once the waveform is captured, the new IntellaSet intelligent measurement detection automatically selects key measurements based on the acquired waveform type and displays the most relevant measurement values (for example, Vrms and Hz for a line voltage signal, or Vpeak-peak and Hz for a square wave), helping technicians easily identify and characterize potential signal faults.
The 120B Series also features Event Capture function that captures and identifies elusive intermittent events and lists all those events that exceed a predetermined threshold. This lets technicians identify key events quickly, rather than combing through large data sets, reading by reading.
Fluke Connect
The Industrial Internet of Things is all about connections and data. As part of Fluke Connect— a system of wireless test tools that communicate via the Fluke Connect app, or Fluke Connect Assets software, a cloud-based solution that gathers measurements to provide a comprehensive view of critical equipment status — the 120B Series can automatically record waveform data to the Fluke Connect app on smartphones or tablets ensuring accuracy and eliminating manual recording of data. Those measurements are then wirelessly uploaded to the cloud and can be combined with measurement data from multiple Fluke Connect test tools to create and share reports from the job site via email and collaborate in real time with other colleagues, increasing productivity in the field. Storing then comparing and contrasting waveforms of specific asset test points over time enables maintenance engineers to better identify and troubleshoot conditions that can lead to failures.
Work Orders
Fluke introduces Work Orders, the latest enhancement to the Fluke Connect Assets, an asset management software solution that works with the Fluke Connect system of wireless test tools. Using this new Fluke Connect Assets feature maintenance managers can:
- View complete work order history coupled with measurement data related to a specific plant asset
- Create work orders from anywhere
- Confidently assign the job to the appropriate technician and balance the task with other work orders in the system.
Technicians are provided with actual measurement data right in the work order allowing them to better understand the problem and work instructions.
The Fluke Connect system allows entire maintenance teams to capture and wirelessly share data via their smartphones. Using the AutoRecord feature measurements are transferred directly from Fluke Connect wireless test tools – eliminating transcription errors – and can be uploaded to FlukeCloud storage. Measurements can be assigned to a specific asset for sharing and analysis. Technicians can collaborate with their colleagues to discuss problems while sharing data and images in real time with ShareLive video calls, which speeds problem solving, decision-making and approvals.
Clamp Meters
Often the most frustrating task for electricians and maintenance technicians is to troubleshoot intermittent faults because they rarely occur at convenient times. The new Fluke Connect-enabled 370 FC Series Clamp Meters log measurements to pinpoint intermittent faults precisely without the need for the technician to be present. Those measurements are then wirelessly transmitted to the Fluke Connect app on smartphones or tablets and automatically uploaded to the cloud, keeping technicians outside the arc flash zone and away from dangerous moving machinery, improving safety.
The CAT IV 600 V, CAT III 1000 V safety-rated clamp meters offer advanced troubleshooting performance to capture a wide range of measurements with a single tool, including:
- Proprietary in-rush measurement technology to filter out noise and capture motor starting current exactly as the circuit protection sees it;
- Integrated variable frequency drive low pass filter (376 FC and 375 FC models only) for accurate motor drive measurements;
- True-rms voltage and current for accurate measurements on non-linear signals;
- 500 mV dc measurement range to interface with other accessories (376 FC and 375 FC models only);
- Expanded measurement range to 2500 A ac with the iFlex flexible current probes, which provide access to large conductors in tight spaces.
As part of Fluke Connect— the industry’s largest system of software and more than 30 wireless test tools — technicians can wirelessly transmit measurement data from the 370 FC Series clamp meters and other test tools to their smartphones for secure storage on the Fluke Cloud and team access from the field. With the Fluke Connect smartphone app, technicians can combine measurement data from multiple Fluke Connect test tools to create and share reports from the job site via email and collaborate in real time with other colleagues with ShareLive video calls, increasing productivity in the field.
by Gary Mintchell | Jan 18, 2016 | Asset Performance Management, Automation, Internet of Things, Manufacturing IT, Networking, Operations Management, Technology
Predictive maintenance benefits more from implementation of the Internet of Things than perhaps any other function at this early stage of wide-spread adoption.
I have written on this topic several times over the past couple of years.
Predictive Condition-Based Maintenance
IoT Testbed For Condition Monitoring To Predictive Maintenance
Use Of Internet of Things Enhances Preventive Maintenance
10 Myths About Predictive Analytics (SAP)
A foulup at Starbucks, Preventive Maintenance Prevents Production
Cloud Platforms For Internet of Things
Predictive or Condition-Based
The asset management community has not made it easy for us generalists with its terminology and definitions. Searching for predictive maintenance (PdM) often serves up results for condition-based maintenance. I am not going to attempt a final definition, but I found something that made sense on the OSIsoft Website. “PdM defines methods to predict or diagnose problems in a piece of equipment based on trending of test results. These methods use non-intrusive testing techniques to measure and compute equipment performance trends.”
Condition-based maintenance (CBM) is a methodology that combines predictive and preventive maintenance with real-time monitoring. PdM uses CBM systems to detect fault sources well in advance of failure, making maintenance a proactive process. CBM accurately detects the current state of mechanical systems and predicts the systems’ ability to perform without failure.
Business Risk
The Aberdeen Group, Report: Building the Business Case for the Executive, December 2013, found that 40 percent of 149 manufacturing executives identified failure of critical assets as the top risk they face.
How do we mitigate this risk? Predictive maintenance and condition-based maintenance are methodologies that help. One thing that makes these strategies work is data. With sufficient data along with a model of the asset’s condition at operational efficiency, reliability engineers can begin to predict failures before they happen.
Just like your car, productive assets pick the worst time to fail. This unplanned downtime is exceedingly expensive. Using predictive technologies, managers can plan for shutdowns at an appropriate time. The right parts can be on hand, labor lined up, production schedules adjusted, all because everything can be planned.
I’ve been talking with Dell often since October when I attended Dell World and it unveiled its Internet of Things initiative.
The interesting thing about Dell compared to almost everyone else I cover is that they approach the IT/OT convergence issue from the IT side rather than the OT side.
Dell’s first IoT product is something I think we’ll see more of–analytics at the edge combined with gateway technology that can bring disparate sources of data together, massage them, send them off to the cloud for further analytics, storage, and visualization. Dell’s current partners are SAP for predictive maintenance and Statistica for analytics.
Expect to see more of these partnerships evolve. In some cases, such as PTC, we are seeing acquisitions to add IoT capability. On the other hand, larger companies who do not have enough in common overall to merge will forge partnerships to offer complete solutions to customers.
We see some of this through the rise of Industrial Internet and IP organizations.
Collecting, moving, analyzing, and displaying data is becoming a big and important business. Customer executives will come to appreciate the work as their companies gain efficiency–and profits.
