In my last blog, Hearing Voices Through Connected Manufacturing & Machine Learning I tried to convey how expensive manufacturing equipment could (and should) be telling you how it’s performing and if it’s going to malfunction. While it seems futuristic and expensive, I’ll attempt to dispel both challenges in this post.
One starting point is the reality of the Internet of Things (IoT) and its impact on manufacturing is recognized by major governments across the globe. It’s referred to as ‘Smart Nation’ in Singapore, ‘Made in China 2025’ in China, ‘Industries 4.0’ in Germany, and generally as the Industrial Internet of Things (IIoT) by various industry leading organizations in the United States.
Regardless of what the governing bodies are doing, we’re in business to make money.
How can you do that?
Use the IIoT and all that it can do to achieve your business initiatives.
That’s when some new compelling or wiz-bang approach to things can actually make sense (or cents). What I mean is this, don’t treat the IIoT as something new or as a separate initiative. Rather, embrace the technology for what it is and how it can propel your existing business initiatives.
The ideals of my previous blog, preventive maintenance, enterprise monitoring, and increased ROI are probably already on your visions and strategy hit-list for making more money. These are exactly the core business initiatives that are possible. When these are being met, the feeling of work being ‘expensive’ shifts to understanding the value of smart, connected operations. This comes from connected systems and equipment flowing data from previously disparate systems into a data refinery directly connecting operational metrics to core business initiatives in real-time. Then you can focus on the value.
Move forward into what’s current and available if you’ve been sitting for a while.
As for this being ‘futuristic,’ well I guess you could say it is, but it’s more focused on moving forward. This is fundamentally about transforming the way you design, manufacture, connect to, and service your products. It’s a major shift into the future.
It’s not about unobtainable science-fiction — rather its attainable with modern equipment and easy add-ons to old equipment. This is enabled even further through easy access to high volume scalable process computer systems in the cloud and at the edge. It’s even become expected in newer equipment.
The advent of IoT Platforms like PTC’s ThingWorx has created systems that address all aspects of the IoT stack and support smooth and complete implementation. Starting with Industrial Connectivity to accelerate the connection of existing equipment into a central hub, you can rapidly bring equipment into the ‘connected’ state by feeding the ability to give your equipment a voice. A scalable and flexible environment for creating applications and role-centric mashups of refined information comes together in ThingWorx Foundation. Augmented Reality runs right through this system as well as predictive analytics in ThingWorx Analytics. ThingWorx Analytics are available to turn these concepts into reality and truly give the equipment in your operation a voice.
So, are you hearing voices yet? Or maybe wishing that you did? We’d love to help make this happen — whether it is through connecting the dots related to strategy, providing technology, implementing it, or even helping to retro-fit existing equipment so it can speak, let us hear your voice and we’ll help give your operation a voice as well.
If you’d like more information about connecting your products through smart manufacturing, you may find our brochure helpful.
Are you hearing voices? If not, you should be!
Well, are you hearing voices? You know, the voices telling you how to make more money, or the whispers of how you can improve your business, or maybe they’re loud and proud notices of problems before they occur. Where would such messages of insight and prosperity come from? I’m talking about the voices of all that expensive equipment you have that keeps producing your product.
As manufacturers, we all invest heavily in the equipment, maintenance, and staff to keep it running smoothly or sometimes get it running quickly after unexpected malfunctions. What would it mean to your business if your equipment could tell you how well it’s running and if something is going to malfunction before it even happens? The ability for your equipment to ‘talk’ to you could substantially impact planning, proactive maintenance, utilization, production rates, overall equipment effectiveness (OEE), and most certainly the bottom line.
Business 101 — businesses require a solid Return on Investment (ROI). High cap ex-equipment implies the “I” and requires production to make the “R.” We all run this daily balance of scheduling maintenance, guessing what needs to be fixed, hoping everything runs right over the third shift and talking ourselves into the thought that we’re getting the most from the equipment. Taking a long look in the mirror might challenge that thought.
Considering connectivity is cheaper and ‘nearly’ everywhere, along with easier ways to stream, collect and refine data into actionable information, the realistic impact of the Industrial Internet of Things (IIoT) brings some futuristic opportunities to your desktop for implementation today.
Think About the Possibilities
What if your equipment could self-diagnose problems, predict failure timelines and prioritize maintenance based on enterprise-wide visibility to OEE, production demands and current performance?
How about leveraging Augmented Reality (AR) to peer into the heart of operating equipment for live feedback and real-time vision-based maintenance instruction holo-deck style?
What if you could view the rates and predicted issues of entire production lines from a single-pane-of-glass? Imagine viewing this with live interactive graphics, drill-down analytics, and mashups pulling data from existing silos of information.
While some of this seems like a ‘nice-to-have future state,’ rest assured, this is as real and available as it comes. It’s what can be implemented so you can start hearing voices. It’s ThingWorx. ThingWorx is a tool to enable developers such as yourself to rapidly connect, create, and deploy breakthrough applications, solutions, and experiences for the smart, connected world. Furthermore, ThingWorx Analytics enables you to uncover the true value of your smart connected manufacturing floor data. Learn from past data, understand and predict the future, and make decisions that will enhance outcomes.
If you’d like more information about connecting your products through smart manufacturing, you may find our brochure helpful.
As I was sipping on my coffee and brainstorming how to begin writing this blog, I had an epiphany. I could sit here and tell you about 6 ways to build an effective IoT strategy, I could. Or I could tell you to go to this page, and download a brochure that discusses everything I would have mentioned in this blog.
I was going to provide 6 ways you can develop an effective IoT strategy, with exclusive information detailing how EAC Connect Services can do such a thing. However, we have a brochure that does that. So, in an effort to minimize redundancy, how about you read through the brochure, dig through our IoT blogs here, and after you do that, we’ll give you a call.
The IoT is expected to drive exponential growth over the next 10 years. So much so that ‘things’ will outnumber human life. You don’t want to miss the opportunity sitting right in front of you. Join the movement. Call us – EAC Connect Services is here to help you develop your IoT strategy. Let us be your partner in the ever-changing world of the IoT.
The Internet of Things (IoT) sits atop a 3-legged stool. Each leg is as important as the next. If any are missing it all falls down. What are these all-important legs you ask? Strategy, Connected Things, and Platform.
All of the buzz and hype, all of the conversations I’ve had with manufacturing and product development clients, can be grouped into one of those categories. I can’t stress enough how important it is to have those three ‘legs’ supporting any IoT initiative. The hard part is keeping a balanced approach so each leg of the stool is supporting its fair share of the load. This is especially hard when you consider the ‘non-traditional’ product development players the IoT brings to the table. It’s shifting the value of products and transforming companies altogether.
Sometimes this transformation causes such a stir that people and companies tend to ignore the groundwork and adopt a more ad-hoc approach. That’s unfortunate because now, more than ever, business strategists, engineers, and IT need to come together to support a new breed of products.
Let’s build a (theoretical) stool. In the next few paragraphs I’ll explain EAC Connect Services’ 3-Legged Stool analogy.
First, consider Strategy — the ‘why’ leg of the stool. There needs to be a clear connection between any IoT efforts and the value they bring to core business strategy. Since the IoT is clearly shifting product value by adding more information about status, usage, location, efficiency, etc, there can be pretty clear connections made between corporate initiatives and enhanced products with sensors, connectivity and analytics. What’s challenging is bridging the gap created by the language used in different groups. We often see people rattle off business initiatives such as Grow Revenue, Improve Service, Increase Customer Engagement, and Reduce Scrap. Rarely does anyone jump up and say ‘IoT is the Answer.’ Interestingly, the IoT can directly impact each of those goals. The IoT can create new revenue streams based on data acquisition or alternatives to existing service models. It could even change the way products are sold — think ‘Product As A Service’ versus high capital expenditures. How could you be more engaged with customers than through an on-going subscription and monitoring program? And as for scrap, things like machine learning, predictive failure and real-time operational efficiency are just the tip of the iceberg.
Second, let’s consider Connected Things — the ‘what’ leg of the stool. Take a moment and look around the room…seriously, look around the room in which you currently reside. How many connected devices do you see? Now think about the connected devices and systems that you don’t see. I call this ‘pervasive connectivity.’ It’s the notion that connected things are rapidly outnumbering us. Analysts expect there will be about 7 connected and addressable things per person by 2020. These things may connect via bluetooth, WiFi, ethernet, long-range radio, cellular, and satellite signals amongst others. Couple this with ever-shrinking energy-efficient sensors piggybacking on existing products or embedded directly within new ones and we’re ready to analyze streams of data. This could happen real-time, locally or post-facto in the cloud. These connected and enabled things provide data junkies with more data than they know what to do with. And one cool twist is that the back-end systems are learning to mine and manage data on their own. In short, the ‘how’ of smart and connected products comes in layers — base product infrastructure, sensor systems and connectivity form the foundation. Then depending on the objective, analytics may occur real-time, be short-term local or happen ‘in the cloud.’
Third is Platform — the ‘how’ leg of the stool. Consider for a moment the possibilities of a truly scalable cloud IoT purpose-built platform. One where security, connectivity and flexibility are a part of the DNA and easy connection to other enterprise systems like PLM, CRM, MES and the like are not just a notion, but a reality. Picture a platform where these converging streams of data can be analyzed by a learning system that determines what ‘normal’ looks like and autonomously notifies other systems with the right information based on the audience or system. At this point, integrating service information through augmented reality seems like a natural extension and provides the next step in connected product development and the over-the-top service we’re all pursuing. And for some icing on our proverbial cake, how about the ability for ‘non-developers’ to quickly build role-specific dashboards and mashups without needing to write piles of code? While new platforms are springing up, ThingWorx is already in place and providing a central hub for the connected enterprise to meet and even exceed its business objectives.
While all three elements — Strategy, Connected Things, and true IoT platforms — seem somewhat elemental, balancing these will be central to the success of any IoT enabled business initiative. This is the approach we take at EAC through our Connect Services. Whether you’d like help in one, two or all three of these areas, we’d love to partner with you and see your next IoT project flourish.
A spring, a trigger, and a board — the gold standard for catching mice. So much so, that ‘building a better mousetrap’ has become a colloquialism for futility. I’d like to challenge the notion that we can’t improve the value of a mature/fully-vetted product. Maybe it isn’t something we can achieve by redesigning the core product. But, what about transforming it? Shifting value and enhancing what the product is through connectivity and the Internet of Things (IoT). Think about it. What if the classic mousetrap sent trap status alerts and thereby gave you peace of mind. Or better still, that your strategically placed trap has done its job and needs to be emptied and reset.
The 5-Layers of an IoT Connected Thing:
To start our grand journey to the engineer’s happy place, let’s run with the mousetrap example and explore the 5 layers it takes to connect any ‘thing’ to the IoT.
Layer 1 — Core Product Infrastructure
As with any product initiative, it’s important to start with a solid core product infrastructure. The standard mousetrap is both solid and elegant (and lethal) – a board, a spring and a trigger. The physical product has to function…well. But we’re adding value by awareness, so let’s build onto the first layer with a sensor circuit.
Layer 2 — A Sensor Circuit
This is where we consider what data could support analysis to determine the status of our trap. Lots of options exist – accelerometers, a switch, a photo resistor, a force-sensitive resistor, or even an ultrasonic transducer come to mind. Selecting one (or more) depends on other layers and the approach to analytic logic. Always select your sensors with end goal in mind. While it might be fun to integrate a laser of some sort, we’ll keep it simple – a micro switch with a circuit that is held closed by an ‘armed’ trap.
The next two layers help us deal with the data coming from our micro switch circuit connected to a microcontroller.
Layer 3 — Connectivity
The connectivity layer requires cost/function/environmental tradeoffs. Options run the gamut from radio to Ethernet to Wi-Fi, to Long Range vhf/uhf radio and even cellular – each with benefits and challenges. For simplicity and example sake, we’ll consider a Bluetooth connection to a home computer. It’s likely a good solution given range and pervasive connectivity.
Layer 4 — Analytics
The connectivity layer flows into the analytics layer and approach – how, where and when we determine a ‘sprung’ trap. Once it’s determined and we process any other salient information, we would likely pass that info through our connectivity layer to our Smart Application in the IoT Platform layer at the top of our IoT stack.
3 Realms of Performing IoT Analytics
Before we get carried away, however, let’s unpack 3 realms of performing analytics; Real-time, Local and Cloud.
- Real-time analysis would typically be high-frequency evaluation of a trigger or a calculation based on multiple values to determine some sort of event before storing or pushing data to the cloud. For example, this ‘live’ processing could evaluate accelerometer data to determine if someone took a step in the case of a wearable IoT device. In the case of our trap, it could be used to ‘wake up’ the monitoring system once a mouse is sensed sniffing the trap.
- Local Storage of data before going to the cloud provides for some short-term hysteresis, filtering or perhaps comparison to a time-based goal as in number of steps in a day — or mice sniffing our trap.
- Cloud — Real-time and local storage data can be streamed to the cloud for long-term storage, trending, historical analysis and such. It could even be used to feed a machine-learning algorithm for predictive failure analyses.
For our simple mousetrap example, we’d likely just monitor the micro-switch at some reasonable interval and send the status to our IoT Platform – likely ThingWorx.
Layer 5 — IoT Platform
So now that our newly enhanced trap can sense, connect, analyze, and communicate its status, we can share that with an IoT platform to aggregate data and either perform additional analytics or communicate with other traps, sensors, or systems. This is where the IoT can really take off by being the refinery of crude data from various streams and start to head for a connected stream of autonomous systems of systems – but I’m getting ahead of myself. We’ll address that in a future blog on IoT platforms.
Applications communicating autonomously on a defined platform are what facilitate this shift of product value. This is why a powerful, scalable and secure platform for application development is just as important a layer as the rest. It’s here that we can actually see the newfound value of our connected mousetrap – Is it still armed? – Was it tripped? Do I need to check on it? With enough sensors, good analytics, and a flexible platform, we could ascertain which of many traps has had an event, if it’s full, or just been ‘sniffed.’ When an event happens an email or text can be sent to someone with the delightful responsibility to do something about it!
And so that’s how we can make a better mousetrap, tractor, valve, medical device, etc. A “better mousetrap” is a simple example, but if we can add value to the mousetrap just imagine how you could add value to your products. Each of the 5 layers of the IoT stack plays a role — core product infrastructure, sensor systems, connectivity, analytics, and smart applications on an IoT platform.
If you’d like to build your better mousetrap, or more likely, if you’d like to transform the way you design, manufacture, connect to, or service your products, EAC would love to help. Let’s connect.
Why bother with the Internet of Things (IoT)?
Great question! Maybe to understand your product, make a deeper connection with customers, create a new business model, increase revenue or even build a new revenue stream. Perhaps you’d like to find out what your products are doing after you sell them and figure out which features to include or remove from your next iteration. There are piles of ideas and ways to make the IoT work for you. In short, however, it depends on your initiatives — and the IoT could be just the thing you need to move your initiatives from “How are we gonna do that?” to “This is gonna be awesome!”
When considering your corporate initiatives and the IoT, I’d encourage you to integrate them rather than looking at them as separate things. At EAC, our Connect Services (the way we help customers achieve their IoT objectives) starts with strategy. You’ve got to make a connection between the motivation to have smart and connected products and your initiatives. In other words, your approach to the IoT could be the central catalyst of your initiatives. Otherwise, it’s just a fun and techy science project without clear direction.
Let’s say you’re a forward thinking company and you call yourself innovative while having a goal of improving dealer service capabilities and increasing end-customer engagement. Perhaps you could build a whole new business unit that collects data from your product in the field and distributes use and service information back to your dealers as they provide service. It could increase revenue (data/subscription sales to dealers), increase your ‘innovative edge’ as perceived by your end customers (through apps and product information) and feeds feature and performance data back into your design cycle. You could aggregate the data from your products in the field to your ERP and MRP systems and have truly integrated (connected) PLM into your business. Just for the sake of argument, this could include role-specific mobile device apps for dealers, DIY repair, data junkies and regional usage maps. We could even weave this into production and procurement roles and have data actually ‘flowing’ in several directions. Who knows where it could lead.
Ok, now back to avoiding the ‘science project.’ The key is to have a strategy — figure out why you want to be part of the IoT and then go do it. Our goal at EAC is to help companies transform the way they design, manufacture, connect to and service their products. As a part of that, we’d like to help you build your strategy, devise ‘connected things,’ and implement a facilitating platform easing the access, sharing and use of the information. This 3-legged stool is what we place our IoT strategy on — next time I’ll talk more about the ‘things’ or the ‘platform.’ For now, how can we help you build your IoT strategy? Let us know…