The Industrial Internet of Things (IIoT) can pay big benefits for organizations that do it right. It’s no surprise that a report by LNS Research and MESA International shows that more than 50% of manufacturers plan to pursue IIoT in the next 12 months. In fact, one of our gas pipeline customers has already saved over $9.8 million in maintenance downtime costs primarily because of IIoT.
Avoiding downtime is a huge motivator for companies embarking on IIoT. Outdated operational technology (OT), such as physical sensors, proprietary control-system software, SCADA, and historians, represent significant downtime risk. When they fail, costs are high. According to the Aberdeen Group, the cost of downtime went up to $260,000 per hour on average between 2014 and 2016.
Here are four best practices about keeping your eyes on uptime as you embark on IIoT:
1. How much uptime is enough?
Downtime isn’t cheap. You already know the direct costs of delayed product deliveries, idle time and overtime pay, and repair expenditures. Your business may also need to factor in damage to reputation, environmental damage, litigation, and more. Stratus has a downtime calculator to get you started.
Once you know the hourly cost of an outage, determine your tolerance level. While 99% uptime may sound fantastic, that’s actually 88 hours of downtime in an average year—or potentially millions of dollars. Or would you prefer five minutes a year? That’s where fault-tolerant solutions pay dividends with 99.999% availability.
2. Protect before you recover
While a disaster recovery plan allows you to return to operation after a catastrophe, it’s not enough.
By the time disaster recovery kicks in, considerable damage is done—and often irretrievably. Data traveling in your production environment is primarily “inflight” data, occurring in milliseconds and requiring instantaneous response. That data is lost in an outage. Controllers, temperature monitors, and failure analytics can’t wait while systems resume operating.
You’ll want an availability solution that prevents outages from occurring, ensuring zero data loss.
3. Keep it simple
When merging IT and OT systems to achieve IIoT, simplicity is critical. Operational staff often doesn’t have the advanced IT skills needed to manage complex IT deployments. So choose an availability solution that is simple to deploy and easy to operate and manage. That way, you can focus on making sure your plants are performing well.
Virtualization is also essential to simplicity. Virtual machines are isolated from unexpected problems elsewhere, and servers can be smoothly migrated offline for orderly upgrades and updates. The challenge is that consolidating IT and OT systems on a single physical machine replaces multiple points of potential failure with a single point, increasing your risk exposure.
You can overcome this risk by deploying a hardware or software-based continuous availability system. Such solutions run on standard-type servers in virtualized environments, and requires no special expertise to maintain.
4. Solve today’s problems with an eye on the future
Most industrial automation organizations are not ready to perform a full-scale upgrade all at once. So phase your planning to solve real problems immediately. A couple of early wins will get your project off to a strong start.
Just leave ample room for future growth and modification. Build on industry standards and proven methodologies. An availability solution you can implement and forget about will pay itself back in future compatibility and productivity.
IIoT is no longer merely for the early adopter. When done right, IIoT can create enormous savings and competitive advantage. As you face this complex undertaking, remember to factor uptime into the equation. You’ll build a solid foundation for achieving genuine, measurable benefits.
Hydrocarbon producers face extreme pressures to reduce operational costs and boost efficiency. This is easier said than done. Standing in the way are outdated operational technology (OT) infrastructures that run supervisory control and data acquisition (SCADA) systems, historians, and automation control systems at satellite facilities and remote pumping stations. Often installed decades ago, these systems gather potentially valuable data, but it’s painful or even impossible to extract it for high-level analysis.
Meanwhile, IT teams at these same energy firms are making huge strides with virtualization, connectivity, and data analytics. If OT upgrades continue to be stalled, energy producers are handcuffed from tapping into the power of the industrial internet of things (IIoT) technologies that are redefining the oil and gas industry. Linking machines, equipment, and sensors with advanced control systems and analytics is vital to propelling efficiency gains and unlocking business insights to drive growth.
What can you achieve as an intelligent, connected enterprise? Consider Columbia Pipeline Group (CPG) (recently acquired by TransCanada Corporation), an operator of nearly 15,000 miles of gas pipelines across the U.S. CPG upgraded its OT with fault-tolerant, SCADA systems that generate real-time operational data and business analytics. In the first year, CPG saved $2.3 million in maintenance and reductions in unplanned downtime and expects to run at 100% capacity with near-100% availability. Today, those savings are over $9.8 million.
How can you evolve your firm into an IIoT-enabled enterprise without pursuing a total upgrade right out of the gate? At Stratus, we recommend a step-by-step approach:
Step 1: Begin at the center
First, upgrade your control environment, such as level 2 supervisory control and level 3 operational and control infrastructure. This enables immediate gains in uptime performance and efficiency, while creating a foundation for incrementally upgrading distributed control systems throughout the plant and at remote locations. While data from level 1 process controllers and sensors remains unchanged, you still use that data for advanced analytics to improve operational and business planning.
Step 2: Expand outward
Extending an intelligent, connected enterprise to individual machines throughout an operational infrastructure—including individual sensors, actuators and control valves—takes automation and predictive management to an entirely new level. Rather than collecting data every few seconds, your environment collects data almost continuously from hundreds of sensors and feeds it to analytics engines. Future upgrades to the level 1 basic control environment and level 0 infrastructures can unlock tremendous value through increased productivity and efficiency, and reduced unplanned downtime.
Regardless of your upgrade plans, a solid availability strategy is essential to capturing the full benefits of modernization. Replacing outdated PCs with virtual servers offers significant footprint reduction, streamlined diagnosis and repair, simplified provisioning of new applications, and reduced systems management workload, among other gains.
Despite the advantages, consolidating control applications on a single physical machine replaces multiple points of failure with a single point of failure, which can increase risk of unplanned downtime. This can be easily addressed with a fault-tolerant, always-on virtualized processing environment. Unlike traditional failure recovery, these fault-tolerant solutions prevent failure from occurring and loss of in-flight data. An uninterrupted stream of data is critical to IIoT, especially as the volume and value of data increases.
While change introduces risk, it’s essential to keep pace with intensifying demands on the hydrocarbon industry to increase efficiency and reduce costs. A thoughtful, incremental approach to upgrading automation and control infrastructure helps you reap the advantages of modernization while minimizing risk. Don’t wait. The sooner you take the first step, the sooner you will capture the compelling financial and competitive advantages of IIoT.
Dr. Peter Martin of Schneider Electric is calling it a whiteboard moment. Time to get out the erasers and start over. And maybe he’s right – the models and metaphors that defined the industrial automation space for at least a generation are being challenged. The classic hierarchical Purdue reference model – level 1 for closed-loop control, 2 for human supervisory control, 3 for operations and MES, 4 for ERP, etc. – has served us well. But we may have taken its suggestions too literally – maybe we shouldn’t have insisted that its implied boundaries take physical form as independent, isolated networks, for example.
Now, though, the picture may be more like a fully interconnected mesh, or a horizontal service bus, or a cloud, or even a fog (does a Fog really have an Edge?). Advanced analytics tended to stay at the ‘upper’ layers of the Purdue model. Now they’re distributed up and down the mesh, cloud, fog or whatever. So maybe it really is time to redraw the boxes, reroute the lines, and think about a fully connected enterprise. At the 21st annual ARC Industry Forum in Orlando this year, the theme for the event was “Industry in Transition: Realizing the Digital Enterprise.” And this time over 800 thought leaders and visionaries, skeptical end users and eager suppliers gathered to talk about where the industrial automation space is heading and what it might look like when we get there.
Here are some of the concepts and things that were on their minds:
IIoT – the Industrial Internet of Things
Lots of promise, vendor enthusiasm and press activity, but then reality sets in when someone asks about  cybersecurity – attacks against the ‘things’ themselves, or those using swarms of hijacked ‘things’ to attack other connected targets,  interoperability and protocols – OPC? OPC UA? MQTT?, or  organizational implications – who owns and maintains which things? OT folks are waking up to what should happen at the ‘edge’ of that big mesh too, especially when it comes to connecting legacy systems, PLCs, DCSs, transmitters and applications. Seems there’s a real opportunity for a simple, reliable, continuous availability platform for the smart gateways that will be required. And Stratus does offer just such an always-on platform that can be maintained by non-IT people.
ARC are setting up a practice area and offering their influence and insight to help guide us through this new solution space.
No, you can’t talk about the IIoT without asking about cybersecurity. No less than 11 suppliers in the Innovation Showcase were leading with cybersecurity – either in the form of hardware, software, or some sort of consulting services offering:
For some years now, ISA has convened a standards effort on industrial control systems security, the ISA99 standards project. Its members and contributors were visible and vocal at ARC this time. And they’re still open to hearing from vendor and user viewpoints:
And a very interesting observation came from Marty Edwards of the Department of Homeland Security. Marty runs the Industrial Control Systems Cybersecurity Emergency Response Team. And while he’s advising and assessing and implementing security technology, he still insists you should  sit down and identify the crown jewels in your enterprise – that critical workflow or asset or production unit that could put you out of business – and  UNPLUG IT. Because the hackers are pinging you and looking for that same asset and will find a way to hit it remotely if they can.
And again, since that asset still needs to keep running on its own, there seems to be an opportunity there for some simple, reliable, continuous availability platform to keep that asset running inside its own little bubble. Think Stratus.
IT and OT convergence
There’s still quite a bit of jostling between the IT world and the plant floor OT folks. And this is most visibly happening at the edge of that IIoT/network/cloud/fog/etc. The real experts and veterans in the world of operations insist that if it involves process or personnel safety, it’s going to remain in the OT domain. We heard words to that effect from customer experiences with safety, security and availability in gas distribution systems, information integration in engineered products (rolled or forged metals), and in access tracking to critical tools and measuring equipment. One subject matter expert in MES and automation systems summed it up by saying that the closer you are to real-time, the further you should be from the cloud!
New startups and established suppliers are finding ways to put information from all those ‘things’ and the analytics and experts across their enterprise directly in your field of vision as you walk around a plant site. Look through a visor or down at a smart tablet view of a boiler, or a substation, or a warehouse, and see gauges and highlights and procedures imposed directly over the image. Interact with a remote expert whose video image or screen content is in the visor field there before your eyes, and who sees what you see as well. Augmented Reality may finally be delivering for industry what Google Glass tried to do for everybody else. Visit these sites to find out more: www.daqri.com, www.ptc.com/augmented-reality.
Some interesting work here grew out of customers trying to apply the recipes, process and equipment models from ISA88’s world of batch processes to the more continuous process environments of refineries, chemical plants and even nuclear facilities. Any time you do a major state change or product cutover – or deal with a big upset – in a continuous process environment, there’s still a procedure to follow. Most of those have been managed on paper or entrusted to the operators themselves. But those tend to make me nervous, especially when I think about running a nuclear facility in an ad hoc fashion. So ISA’s SP106 project has been busy on models and methods for Procedure Automation for Continuous Process Operations. We saw sessions on that standards effort, and even saw one vendor who’s developing a software product to handle mixed manual and automated procedures.
And it’s not enough that the IIoT and the Cloud are challenging that revered Purdue hierarchical model. True to Dr Martin’s whiteboard moment observation, ExxonMobil, Lockheed Martin, and Saudi Aramco have convened some efforts through The Open Group to consider a whole new model for process automation that would be built around a broadly horizontal service bus architecture. Stay tuned as that develops (and be aware that they’re looking for volunteers to contribute to that new model structure).
Vendors: Innovation Showcase
In addition to the eleven vendors leading with cybersecurity offerings already mentioned above, a couple were bravely introducing  a new PLC / Process Controller hardware package, and  a new web-based SCADA offering with a pretty innovative licensing model. And both might also benefit from a simple, reliable, continuous availability, platform.
Key takeaways – observations from participants
ARC actually recorded a short video montage with snippets of key takeaways and impressions from people who were there. Check it out here.
“The future is already here. It’s just not very evenly distributed” – William Gibson
Last week, I had the pleasure of sitting on a panel at the ARC Industry Forum in Orlando. The topic du jour was OT and IT convergence and a common thread amongst the discussion was how an organization can move to IIoT. Are there new architectures? Is IIoT a rip and replace only option? How can OT partner better with IT to meet IIoT goals? Overall, it was an engaging and excellent discussion. I came away from the session considering the connection between existing IA technologies and IIoT.
And here are some thoughts.
- Layer in the first piece to minimize disruption to legacy equipment. What I mean by this is that any time you make a significant architectural change a good first step is to layer in something around the existing architectural foundation vs going through a major replacement. If you assume that SCADA and Historian applications are at the core in the IA world, then you can look to either devices or analytics as a starting point. For example, one of our customers was able to layer a cloud based analytics layer over their existing SCADA infrastructure to add a lot of value. Other companies are introducing more and more end point devices into the mix first. But overall, take a look at your goals, find a pragmatic starting point and start out by adding one non-invasive layer. Once you have worked out the first layer, move on to the next layer. Often this is when you may see that the architecture core needs a boost which brings me to step 2.
- Virtualize that core infrastructure. Time and again we see underpowered, unreliable and out of date (“read insecure”) infrastructure supporting a SCADA layer. That may be all well and good in the old way of thinking but now is the time to consider an upgrade. In the world of IIoT that’s business critical stuff and that type of software needs a rock solid place to run – such as on a Stratus ftServer system. Once you have virtualized on a solid foundation it will be easier to manage and expand to other applications in the future.
- Respect your institutional knowledge but also look to the future. OT skills and knowledge are incredibly valuable but the introduction of new technologies at the Edge can be daunting. IT can help with the technology provided that the OT folks ensure that business needs are fulfilled. Near the top of that list is simplicity. Adding a lot of new technology for the sake of entrenched data center standards is a recipe for failure. Look for solutions that can thrive and survive at the edge without requiring a lot of IT support.
All in all, success will be determined by a smart scope and understanding the unique user requirements. When you break things down that way the challenge will be reduced greatly.
In our 35-plus years of providing continuous availability solutions for enterprises, we’ve seen only a handful of technology shifts that you could call “seismic.” The globalization of eCommerce was a big one that was transformational for mission critical infrastructures. At Stratus, we believe that the next big transformation – the Industrial Internet of Things (IIoT) – has the potential to be even more seismic.
Over the past year or so we have been more and more engaged in pilots and solutions for IIoT. We see this as a major shift in how industries such as utilities, food and beverage, pharma and others will deliver products to market and become more efficient. IIoT is on the minds of just about everyone working in these and other industries today on some level. But, there’s a lot of information out there to digest and it’s still very much in its infancy.
Based on our experiences to date, here are our predictions for how IIoT will shape up in 2017.
1. Companies will need to get educated about IIoT
IT vendors have started to create awareness of the value of IIoT. This has helped users begin to run pilot projects and experience the benefits of IIoT first hand. In response, more companies will need to get educated. This will lead to frank assessments about infrastructure, which often will reveal that most operations lack secure connectivity, virtualization, and reliability needed for IIoT. Addressing those infrastructure weaknesses will be a top agenda item for 2017.
2. Small wins will yield bigger investments in IIoT
We expect many companies to start their IIoT journey by pursuing short-term projects that have big efficiency or cost impact. For example, one of our customers has been doing some cool work piloting analytics technology to diagnose and troubleshoot issues in a production line. This produced valuable intelligence that has made the production line more efficient. Small victories such as these will become more common and will give industrial automation decision makers more confidence to support bolder investments.
3. Reliability and security are the hot buttons for companies considering IIoT
Success with IIoT requires starting with an infrastructure you trust. So 2017 will be the year to lock down reliability and security. Then you can focus solely identifying those IIoT investments that will return the powerful benefits to your business. In manufacturing and energy, the primary benefits will be efficiency and productivity gains. Building security and management should look for cost savings by shrinking the technology footprint. Financial services can expect improved performance, data integrity and business agility.
At Stratus, we believe the potential impact of IIoT on an array of industries is huge. A number of early adopters have already proved this. However, the best approach is to start with a reliable infrastructure to support your IIoT vision. If you agree, keep in mind that =Stratus has been an driving availability in the Industrial Automation market for decades. In fact, our first customer was in the food and beverage industry. But further that just our zero downtime advantage industrial customers really value how Stratus solutions dramatically simplify their unique operational requirements.
This week Stratus participated at the Wonderware Live 2016 conference in Orlando, Florida. While the conference was eventually impacted by the hurricane Matthew, it started off on a high note with a quick succession of keynote presentations featuring a dizzying set of new announcements and improvements to Wonderware’s rich software portfolio.
Wonderware’s strategic narrative was centered around three areas:
- Industry solutions – the introduction of a more templated and integrated approach to reduce time to value
- IIoT – the expansion of capabilities by leveraging its market, ecosystem and customer presence to cover new ‘connected points’
- New consumption models – the provision of both subscription and/or cloud based delivery models
For all areas, there was ample emphasis on the value derived by its partner ecosystem – including the likes of Stratus. If you allow me to digress – Stratus increasingly teams with Wonderware distributors on large multi-site implementations including systems integration partners so we know this strategy works well for Wonderware.
With regards to IIoT, Wonderware and its competitors are seeing a slow yet steady uptake of IIoT projects. Both Wonderware and distributors mentioned an increasing trickle of albeit small budgets being set aside to implement basic IIoT initiatives but that the more sophisticated deployments would take time to come to fruition. However, they are starting small to align with business value which supports Wonderware’s viewpoint: neither connectivity nor hype will drive IIoT uptake but common business sense and a willingness to embrace disruption in support of innovation will. Meanwhile, Wonderware continues to build out IIoT integration features (e.g. MQTT, OPC UA and SNMP enablement) into its software set, allowing customers to ‘ease in’ and become incrementally IIoT ready.
On the topic of Cloud (and its Microsoft partnership), EVP Ravi Gopinath stated that 150 customers per month are registering for Wonderware online, while also mentioning that IA customer momentum was moving towards a gradual adoption of private and hybrid architectures (referred to as “Cloud also”). In addition, Wonderware executives discussed the increasing demand for flexible consumption models, such as pay by the drip (i.e. metered cloud). Most of the cloud based architecture presentations were couched with the statement “Cloud – for when you are ready”; suggesting that with only a few IA customers expected be fully cloud-based in the foreseeable future, IA cloud adoption is still progressing slower versus other industries.
The most significant announcement was reserved for Wonderware’s multi-site MOMs customer segment with Prometheus, a horizontal and vertical automation collaboration tool across (virtually) any PLC and (virtually) any HMI. While ambitious to say the least, it’s a laudable objective given the wide-spread IA system heterogeneity in any large multi-site environment. The second announcement was the evolution of what was the Wonderware System Platform, now named InTouch Omni. Targeted at the most demanding and distributed HMI/SCADA customers with large applications, this software platform converges the IT/OT function and provides access to all the information across a company and supply chain by simply clicking on a device on the map and drilling down into its details.
Overall the presentations were geared towards illustrating Wonderware’s vision, its key product portfolios and related offer updates. Perhaps in the future we can come to expect customer and partner proof points giving the audience more insights into deployment successes and lessons learned.
Stratus’ success with Wonderware customers has increased considerably over the past years, so stay tuned for more exciting wins, as well as reference architecture content and best practices, on the soon to be launched Stratus Wonderware customer and partner page.
As companies across the energy value chain look for ways to become more efficient and agile, the Industrial “Internet of Things” (IIoT) offers attractive opportunities. Harnessing sensor data, machine-to-machine (M2M) communication and Big Data analytics enables oil and gas companies to take automation and efficiency to new heights, while creating the foundation for new business models.
But to realize the potential of IIoT, companies must first bridge a yawning gap: the technological and cultural divide that often separates their information technology (IT) and operational technology (OT) organizations.
Why the divide? In most industrial organizations, including oil and gas producers, IT and OT traditionally have different priorities. For OT, ensuring the uptime of production automation systems is paramount. Reducing risk is the top priority, which is one reason why automation systems are often in service for years, if not decades—change equals risk. For IT, innovation is the top priority, often leading to continual change and upgrading. This difference in priorities helps explain why OT often insists on keeping automation systems completely isolated from IT.
The IIoT changes the status quo, creating a new imperative to share data from machine sensors and automation systems managed by OT—including SCADA (Supervisory Control And Data Acquisition) systems—with enterprise resource planning (ERP) systems and analytics platforms managed by IT. How can oil and gas companies bridge the gap between these two worlds, while ensuring that the competing priorities of OT and IT are met?
One approach employed by some energy companies is to effectively merge the two, integrating OT within the IT group. On the surface, this seems like the most straightforward approach, essentially forcing OT and IT to work in coordination. In practice, however, the cultural differences can remain. For example, IT may try to impose its standards-based approach on an OT team used to systems specialized for particular production tasks. Unless IT has a clear understanding of the requirements of these automation systems, the result can be a lack of coordination that decreases system stability. For this approach to work, OT must have a voice in the combined organization.
Another approach is to create a technology team free from these traditional distinctions, responsible for all OT and IT functions. This approach is feasible in an entirely new organization or for a large company spinning off a new satellite organization. But for most large, complex oil and gas producers with established technology groups and lots of legacy infrastructure, it may not be a workable alternative.
The third approach is one we’re seeing more and more in forward-looking organizations, where there is a new breed of “industrial technologists” who have a combined IT/OT perspective. They understand the need for stable, highly available automation systems, but they also understand the enterprise system integration and analytics required to make the IIoT a reality. With a foot in both worlds, these industrial technologists play a key role in ensuring that the priorities of both OT and IT are met.
The benefits of the IIoT are too attractive not to take advantage of them. Bringing OT and IT together in a way that effectively manages risk is the key to unlocking the tremendous potential of the intelligent, automated energy enterprise.
The Industrial Internet of Things (IIoT) is attracting more attention by manufacturers, especially as the Internet of Things (IoT) takes hold in consumer and business markets. Many manufacturers are getting excited about opportunities enabled by applying advanced analytics to information generated by plant sensors and business systems. A recent LNS Research and MESA International report, Manufacturing Metrics In An IoT World: Measuring the Progress of the Industrial Internet of Things, validates this trend.
Here are some key findings from the report and infographic:
Understanding of IoT is way up – In a 2015 report, LNS and MESA found that 44% of those surveyed did not understand IoT. In 2016, that category plummeted to 19%. Also encouraging is 50%-plus of respondents reported their companies were planning IoT initiatives in the next 12 months.
Manufacturing data is moving beyond the plant – More manufacturers are looking at predictive modeling, plant analytics, and manufacturing intelligence. This indicates that they are taking a more integrated view of manufacturing operations rather than focusing on point solutions. Also, while most manufacturing operations management (MOM) and manufacturing execution system (MES) software is still deployed on-premises, movement toward cloud-based solutions is starting to take hold.
Manufacturers still care most about financial metrics – Nearly half of respondents ranked financial metrics as their top concern. The survey also reported that key financial metrics—manufacturing cost per unit, revenue per employee, and net profit margin—are improving. What’s interesting is these gains largely come from quality and operational efficiency initiatives. The question is how much more could be achieved with big data analytics?
Adoption of analytics is still limited – Surprisingly, only 14% of survey respondents have a manufacturing analytics program. The vast majority of these companies use analytics internally for process improvements. Few manufacturers are using advanced analytics that incorporate unstructured data such as climate data and images.
Our position, which is supported in the report, is that manufacturers need to dive deeper into big data analytics to adopt capabilities such as real-time machine learning and predictive maintenance. This direction will lead to more operating efficiency—and ultimately drive greater financial improvements.
We also agree with the report’s recommendations for manufacturers ready to further explore IIoT:
- If you don’t understand IIoT, investigate its potential impact on your operations immediately. Form a cross-functional team and plan some IIoT trials.
- Explore analytics that go beyond shop floor data. Vendors like Stratus can recommend solutions that provide uninterrupted access to analytics and help you understand what private and public cloud options exist.
- Once you’ve taken these steps, conduct a full-blown pilot with more complex analytics involving plant and business data.
There are always challenges with any major new initiative. IIoT is no exception. With more than a decade of experience supporting business-critical industrial automation, Stratus can help you work through the challenges and achieve the metrics that matter most to your operation.
What keeps automation engineers up at night – both literally and figuratively? It sounds like a bad joke, but unplanned downtime is the one event that cause havoc in a plant, leading to safety, business, regulatory and environmental issues.
When SCADA/HMI assets fail, operators are literally blind to what is happening resulting in extreme measures to restore visibility. Many of these SCADA/HMI systems are old and fragile with non-existent or antiquated redundancy systems which can result in unacceptably long periods of downtime. Modernizing your SCADA/HMI assets can relieve the headaches associated with unplanned downtime, delivering increased efficiencies and preparing for the coming wave of IIoT applications.
Join me and Robert Landrik of CB Pacific on Wednesday, July 20th for an Automation World webinar to understand how virtualization and fault-tolerant platforms are providing the future ready infrastructure to run your SCADA/HMI and other critical applications.
During the session Robert and I will explore:
- Key causes and impacts of unplanned downtime and how to get a handle on the problem
- Challenges with traditional HMI/SCADA deployments
- Virtualization: What is it and how to streamline HMI/SCADA and related operations
- Why fault-tolerant servers are a critical part of a virtualized solution
- Case studies on the deployment of fault tolerance and virtualization
To find out more and to register here
There’s so much happening today with the Industrial Internet of Things (IIoT), it’s important to understand where Stratus fits. For one, we’re proven as we’ve played a role in supporting mission-critical industrial automation for decades. This includes supervisory control and data acquisition (SCADA), human machine interface (HMI), and historian database solutions. We agree with many industry analysts like ARC who see the evolution of these technologies naturally supporting the adoption of IIoT.
IIoT offers exciting opportunities for improving efficiency and productivity. But there are many components to consider beyond machine-integrated sensors. Networking and communications, data collection and analytics, automated controls, and decision support are the connective tissue of IIoT. Stratus is an important part of this big picture because our hardware and software protects this connective tissue in thousands of facilities today. We believe that our existing deployments will help those customers deploy IIoT more quickly. However, the benefits provided by an Always-On infrastructure in an IIoT environment go beyond preventing unplanned downtime.
For starters, the evolution toward IIoT enables industrial automation technologies to be deployed into new industries and places. For instance, in many process industries, endpoints and stations, say in an oil pipeline, have needed to be manned. New technologies enable more and more of these remote sites to be remotely monitored and completely human free. But this remote visibility comes with a price. If the system that provides remote monitoring goes down, nobody knows what is happening. In the natural gas industry, this is called a “blind moment” and it’s a BIG deal. This situation is not limited to oil and gas pipelines. As factories in the semiconductor and other industries get larger and more automated, the goal is to get better productivity with fewer people. Always-On visibility will be a requirement to ensure that goal.
Additionally, compliance comes into play. While data generated by IIoT is critical for production efficiency and productivity, in some industries this proliferation of date will require oversight and reporting. A good example is the food and beverage industry. If you’re subject to regulations, you can’t afford to lose data as it could result in expensive recalls, audits or even fines. If your solution runs on hardware or software infrastructure from Stratus, data availability and integrity won’t be a concern because our servers are always on.
Lastly, the transition to IIoT will come with implementation costs. Many organizations are taking their first steps toward IIoT by deploying virtualization to reduce costs. However, the combination of the Always-On requirements with virtualization in a non-data center environment can actually add costs and complexity. Stratus builds fault tolerance, virtualization, monitoring, and downtime prevention features into a single solution. That gives you a smaller technology footprint that doesn’t require a platoon of people who are necessary for many of the clustered environments.
Ultimately, this means that Stratus can provide an easy on-ramp to a fortified IIoT solution.