IIoT Top News: Machine Learning
Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let’s start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as “something used for automated data transmission and measurement between mechanical or electronic devices.” Now, that we have defined M2M, its time to check out our top news round up for the week on how M2M applies to both manufacturing and IoT. 10 ways machine learning is revolutionizing manufacturing Machine learning is poised to improve manufacturing by streamlining the process of OT and IT, thus increasing efficiency and lowering overall operation costs. Louis Columbus at Forbes believes that “Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.” IoT will recharge Machine Manufacturers Manufacturing can look to software companies as an example of how IoT can implement creating a smarter M2M network. Timothy Chou with CFO.com writes, “Today, manufacturers of machines — whether seed drills, chillers, or CT scanners — can leverage the path paved by the software product companies through three new business models: service and support; assisted services and machine-as-a-service.” Climbing the IoT Mountain–by adding M2M to manufacturing Manufacturing is only at the beginning of its ascent into IoT and M2M, so there are many more bumps and obstacles a long the way for the industry to fully integrate. Ronnie Garrett with Supply & Demand Chain Executive describes IoT and M2M manufacturing implementation as, “Standing at the foot of Mount Everest, ready to climb the world’s tallest mountain. You know you want to get to the top but you aren’t really sure how you will get there or what obstacles you’ll encounter along the way.” Cybersecurity is manufacturing’s biggest risk factor Manufacturing needs to continue to add M2M automation and big data analytics to the shop floor, but a threat to the overall industry is manifesting itself in the cybersecurity world. Ian Wright with Engineering.com informs writes, “A new report from BDO indicates that 92 percent of manufacturers cited cybersecurity concerns in their SEC disclosures this year. According to BDO, this represents a 44 percent increase compared to the first Manufacturing Risk Factor report in 2013.” As we wrap up our top news for the week, we realize the need to fully implement advanced machine learning across the manufacturing world will take more than a simple flick of the wrist. With that said, we leave you with a cautionary tale of when automation goes wrong. It was recently discovered an airport in India had an sign translated with automation software which read, “eating carpet strictly prohibited” — of course this was not the translation they had meant to display. Regardless, as we move towards a fully integrated M2M world, we will have to adjust our equations depending our our intended outcome, much like the world is finding with the love/hate of language automation. Hope you have enjoyed this week’s top news, as always tell us your thoughts on M2M and how it might impact your world!
IoT Top News: Manufacturing Disruption
Industrial IoT continues to cause disruption; not just in manufacturing, but across many other industries as well. In the last few months we’ve been keeping a pulse on the state of digital transformation across the business landscape and have been discovering exciting new implementations of Industrial Internet of Things (IIoT). This week we’re highlighting the disruption Industrial IoT is instigating as product development and lifecycle management continues to evolve. Overcoming Three Key Barriers to Industrial IoT Industrial IoT has the potential to capture data in real-time, leverage big data analytics and streamline efficiency to name a few. So what’s hold back the industry? A major barrier has to do with culture of the operational technology (OT) organizations within the industry. The OT have a risk-averse way of thinking and see change as disruption, “Whereas IT is defined by constant change and innovation, that’s why it’s not unusual to see industrial automation systems in service for decades at a time with little or no change.” Bringing Smart Technology to Old Factories Can be an Industrial-Sized Disruption It sounds amazing to have robotic arms working together with the Industrial IoT. The reality is manufacturing is being disrupted by the implementation of IIoT. Mary Catherine O’Connor with the Wall Street Journal reminds us that, “Often plant managers can’t tell which sensor will most accurately collect the data they want from a machine without a series of test runs—a time-consuming process.” Product-Development Strategies in the IIoT Disruption The key to succeeding with IIoT disruption will be to focus on the new innovation of both product and software for the industry. Machine Design reminds us that, “IIoT is a disruptive force that will shape product-development trends over the next decade and beyond.” Relying on CMM to Keep IIoT’s Disruption Positive All the talk up to this point has been about the negative disruptive impacts IIoT is having on the industry. IIoT has the ability to drastically change manufacturing with a positive level of disruption introduced on the shop-floor. According the the American Machinist positive disruption can happen, “By using coordinate measuring machinery (CMM), machine shops or other manufacturers are able to capture the precise details of the geometry or surface conditions of a workplace. Working within IIoT, those manufacturers then are able to share such data between machines, exchange information between facilities, or with customers or suppliers.” Now we would like to leave you with this quick excerpt from Kevin Ashton, a British technology pioneer who co-founded the Auto-ID Center at the Massachusetts Institute of Technology (MIT) and inventor of the term “the Internet of Things.” How the Internet of Things Disruption Gains Traction – Extreme IoT We hope you have enjoyed this closer look at the disruption Industrial IoT is bringing to the table and what steps are being done to allow more implementation across the industry. Let’s us know what disruption you have seen with IIoT.
IIoT + S2S = Industrial Innovation at the Access Layer
The Industrial Internet of Things (IIoT) is moving at a rapid pace towards a higher intelligence platform to help collect, protect, transport and control data at scale from a myriad of sources. The access layer in the IT landscape is now particularly becoming an innovative technology environment with many new sensory solutions available to bring intelligence back to the core systems and analytics engines. Another area to consider when discussing IIoT are the individuals working with these technologies today, tomorrow and in the future. To start, the younger/millennial generation is entering the workforce in droves and is arguably the first generation open to big data integration and as part of IoT application solutions. Now that IT and Operations personnel work closer together than ever before, there is a need to be able to share the sensor data across the access layer. On the other hand, the older generation is trusting of the SCADA data systems they have been using for years, and are slow at first to adapt to the new intelligence created in the access layer. How Does an Enterprise Address this Transition? One strategy is IT/OT convergence, which promotes a single view of an enterprise’s information. Process-management tools help ensure that every person, machine, sensor, switch and device in an organization has accurate information in the best form and at the right time. As OT products—for example, programmable logic controllers (PLCs) and remote terminal units (RTUs)—become more aligned with IT infrastructure and applications, getting OT information integrated efficiently with IT systems at a process level is difficult enough for many companies. Getting IT and OT systems to work together to maximize business efficiency — while avoiding negative consequences, risks and pitfalls in the process —makes the task more challenging. However, thanks to new technologies, this process is becoming more practical and is creating the opportunities for huge economic benefits when these two disciplines are successfully integrated. Evolution of Sensor-2-Server (S2S) (As described by Brandon Lewis, Technology Editor for IoT Design) S2S architectures define a method for communicating data collected by sensor platforms at the access layer of an IoT network back to servers at other layers, including but not limited to centralized servers in the core network. This type of architecture allows sensor data to be transmitted to points in the network that are best suited to the specific type of analysis, decision making, and control, which in an industrial deployment could be a SCADA controller located at the aggregation layer rather than a mass dump of heterogeneous data from hundreds or thousands of endpoints back to the core network. For critical IoT systems that require real-time or near-real-time analysis of sensor data, this more localized communications can speed decision cycles using data in motion rather than waiting to parse data at rest. Want to Learn More about S2S and the Future of Industrial IoT? For more information and a full discussion on S2S and the future of IIoT, please check out this recent interview with the IoT Roadshow and Scott Allen. You can also listen to the SoundCloud recording below!
Drone World: Applying IIoT Applications
“Drone World” may seem a bit overboard, but the fact is, drones are here to stay. We’ve spent time in these pages looking at unique and innovative drone applications in industries like utilities, precision agriculture, and even lifeguarding. Today, in honor of Memorial Day, we would like to take a moment and honor those men and women serving in the armed forces, by highlighting interesting government drone technology uses. Drones ‘Shot Into The Sky’ By The U.S. Navy The BBC News informs us how these innovative instant flight drones could be used as a method of defense for ships at sea suddenly burdened by a swarm of enemy drones. This project is known as LOCUST and it aims to launch a swarm of drones at high speed. Elizabeth Quintana from the military think tank Rusi believes that, “Drones could be used to take out enemy swarms at sea.” Drones That Can Sniff Out Radiation The Nevada National Security Site (NNSS) officials have recently purchased two drones to be a view from the sky in case of an emergency to sniff out and detect signs of radiation. It will be important to use these unmanned aerial systems (UAS) in situations that are to dangerous for humans. Other Applications of Drones Drones aren’t just for the government anymore, in fact we are already starting to see the industries below finding ways to improve safety, service and efficiency with the implementation of drones. Emergency Response Enables immediate action, providing emergency response teams with fast, flexible visibility to assess critical situations. Utilities Safely allows for the quick inspection of high voltage power lines and wind turbines, helping mitigate worker risk and improve monitoring. Military & Defense Assisting with intelligent surveillance and reconnaissance missions to deliver timely, relevant, and assured information to thwart potential threats. Oil & Gas Protects and helps maintain extensive miles of pipeline covering large, remote areas that would otherwise require enormous amounts of time and resources. Agriculture Creates more efficient farms by monitoring inventory, growth, water and fertilizer levels, and crop health to facilitate production and increase yields. Public Safety Supporting firefighting operations by providing more up-to-date information at a lower cost, while reducing the number of responders in harm’s way. We hope you have enjoyed our quick drone world recap, and as always tell us what we missed. The next time you see a drone flying in the sky, think about all the possibilities that drone or fleet of drones could be providing.
IoT Top News: M2M Propels Machines
Time and again, those keeping a pulse on the Internet of Things (IoT) space frequently hear about the “rise of the machines.” Humanity is not only discovering fascinating ways to integrate machines into our daily lives, but also finding new uses for machines as well. How? Machines are now “internet-connected” just like the smartphones we carry around in our pockets. And this isn’t just on the commercial side with the likes of smart thermostats or connected vehicles – even tractors and oil and gas machinery are industrial examples of where new “things” are now on the digital network. In fact, there are more M2M or “machine-to-machine” communication devices on this planet than humans. As GSMA Intelligence reported in 2014, there are 7.2bn M2M devices versus 7.19bn humans. Stuart Taylor from Cisco also wrote a prediction that “The Internet of Things (IoT) is a world where up to 50 billion things (or devices) will be connected to the Internet by 2020; or, the equivalent of 6 devices for every person on the planet.” Realizing the major role M2M devices continue to have in our connected world, specifically as it relates to the advent of machine learning, it’s only natural to highlight the impact of machines and M2M in the past, present and future. The Machines are Coming: How M2M Spawned the Internet of Things In the digital world, M2M wireless solutions will work for us quietly, in the background solving all our day-to-day needs. John Kennedy with Silicon Republic reports that, “M2M is at the heart of the industrial internet of things (IIoT), powering smart factories that can be run remotely from a tablet computer, and smart buildings that monitor their environment and feed data back to the cloud.” Is Machine Learning Over Hyped? In the now 24-hour news cycle, often the top news lingers around lighter topics. So how much hype should be given to machine learning (ML)? The Huffington Post respondent Scott Aaronson, theoretical computer scientist at MIT, seems to think that “There’s no doubt in my mind that people 30 years from now will agree with us about the central importance of ML, but which aspects of ML will they rage at us for ignoring, or laugh at us for obsessing about when we shouldn’t have? Machine Learning: Demystifying Linear Regression and Feature Selection Machine learning needs to integrate domain knowledge in order to improve the quality of data collected from analysts. Josh Lewis with Computerworld thinks that, “Business people need to demand more from machine learning so they can connect data scientists’ work to relevant action.” Machine Learning Examples Crop up for Data Center Management Data centers appear to be the perfect place for enterprises to implement machine learning to its fullest. Christopher Yetman, COO at Vantage Data said, “There are also sensors that generate data about air pressure, humidity, temperature and supply voltage and typically feed into a programmable logic controller.” M2M Technology Driving Agriculture’s Industrialization On a global front, M2M is driving agriculture’s industrialization in South Africa. IT News Africa informs us that, “Given the ability to automate many monitoring and control functions through intelligent devices, agriculture is a prime target for leveraging M2M capabilities.” We hope you have enjoyed this week’s roundup, and as M2M connections continue to pile-up, we urge you to consider the plethora of commercial and industrial use cases that can benefit from these innovations.
IoT Top News: Future is Now
The Internet of Things (IoT) is creeping into every aspect of our lives. With the advent of smart cities, smart manufacturing, precision agriculture, drones and digital energy, businesses and individuals alike have seen the influx of IoT technology. For example, a recent report from Gartner, “suggests that more than 26 billion devices will be connected to the internet by 2020, with 250,000 of them being vehicles.” So, with the billions of connected things, its only natural this week’s top news roundup would highlight how IoT is maturing and what experts see for the future ahead. Research Firm calls for Standardized IoT Deployments As the demand increases to make more smart cities, researchers warn of extra costsand fragmented delays if we don’t create overall IoT standards. Machina Research reports, “Using current non-standardized technologies, it would cost 1.12 trillion dollars to get smart cities up and running by 2025. Were a standardized approach adopted, the total cost would be 781 billion dollars, a savings of 341 billion dollars worldwide.” Is Automation the Key to Unlocking IoT Data? The best approach to implementation is a combination of data analytics with real-time automated wireless results Dave McCarthy senior director of products at Bsquare suggests that, “The goal of any IoT system should be to extract business value from device and sensor data.” Three Ways to Leverage IIoT Some of best ways to leverage Industrial IoT is by learning to adapt machine learning(M2M), embedded sensors and an overall operational shift allowing the wireless technology to be implemented across the business. Scott Stone with Plant Engineering informs us that, “Accenture predicts that vendor-specific and proprietary infrastructure will be replaced over time with interoperable platforms. Harnessing the data through sensor-driven computing, industrial analytics and intelligent machine applications opens the door for innovation.” Internet of Things Offers Vision of the Future IoT is not a new concept, it has actually been around for 30 to 40 years, yet the future of IoT will still be fueled by security and integration concerns as our need to be connected everywhere continues to grow. Basher Saajid with Liberty Voice reminds us that, “Forbes has reported the overall IoT potential to generate additional $10-$15 trillion for the world GDP by 2034.” We hope you enjoyed this quick look at IoT top news, as always tell us about the stories you found of interest!
IIoT Top News: Industrialized
As machines are increasingly connected to the internet, it’s becoming easier to discover the numerous ways Industrial IoT (IIoT) is helping to shape the business world. This is exactly why we have decided to take a closer look at this pervasive movement and to examine the desire to connect more things! Now if you need a refresher on IIoT and how it is changing the world, take a moment and listen to Greg Gorbach with ARC Advisory Group. Gorbach believes, “IIoT will significantly change the world. You won’t participate with conventional thinking and an incremental approach.” So, you understand some of the ways IIoT will vastly improve how businesses function. But did you realize IIoT is more than just connected devices and smart machines? George Deeb with Forbes reminds us that IIoT impacts manufacturing, energy, oil and gas, healthcare, IT and much more. Deeb reports that, “Gartner predicts the IoT industry to be $1.9TN in size by 2020, and McKinsey thinks it could be as large as $6.2TN by 2025, in terms of economic impact.” Are we ready for it? Although the industry has excepted the new buzzword “IIoT” we still need to make sure the equipment and software are able to interact together or we are just adding more problems to the mix. Maria Ferrante at Packing World informs us that, “The Industrial Internet of Things has moved into the pantheon of 21st-century packaging buzzwords alongside RFID and Sustainability.” Alright! So how is IIoT changing the oil and gas industry? The Oil and Gas industry has seen an increase demand for more of wireless cloud IIoT technology and M2M solutions as the price of a barrel of oil dips down to a new all time low. Live Mint reminds us that, “Oil and gas companies are increasingly leveraging cloud technologies to more rapidly unlock the value of other digital technologies—especially analytics, IoT and mobility.” That’s all for this week’s recap, but there’s more! Now that we are into the beginning of Spring, it’s important to see how some of the 2016 IIoT predictions are shaping up. In case you have any thoughts on our IIoT predictions for 2016 (or have any new predictions your own), it’s not too late to iterate on them into the comments section below!
Critical (Outdoor) IoT Applications Need Robust Connectivity
It’s safe to assume that the majority of all Internet of Things (IoT) devices operate near large populations of people. Of course, right? This is where the action happens – smart devices, smart cars, smart infrastructure, smart cities, etc. Plus, the cost of getting “internet-connected” in these areas is relatively low – public access to Wi-Fi is becoming widely available, cellular coverage is blanketed over cities, etc. But what about the devices out in the middle of nowhere? The industrial technology that integrates and communicates with heavy machinery that isn’t always “IP connected,” operating in locations not only hard to reach, but often exposed harsh weather. The fact remains, this is where IoT connectivity is potentially most challenging to enable, but also perhaps the most important to have. Why? Because these numerous assets help deliver the lifeblood for our critical infrastructures – electricity, water, energy, etc. Without these legacy and geographically dispersed machines, a smart world may never exist. But let’s back up for a second and squash any misconceptions about the “industrial” connectivity picture we’re painting above. Take this excerpt from Varun Nagaraj in a past O’Reilly Radar article: “… unlike most consumer IoT scenarios, which involve digital devices that already have IP support built in or that can be IP enabled easily, typical IIoT scenarios involve pre-IP legacy devices. And unfortunately, IP enablement isn’t free. Industrial device owners need a direct economic benefit to justify IP enabling their non-IP devices. Alternatively, they need a way to gain the benefits of IP without giving up their investments in their existing industrial devices — that is, without stranding these valuable industrial assets. Rather than seeing industrial device owners as barriers to progress, we should be looking for ways to help industrial devices become as connected as appropriate — for example, for improved peer-to-peer operation and to contribute their important small data to the larger big-data picture of the IoT.” It sounds like the opportunity ahead for the industrial IoT is to provide industrial devices and machines with an easy migration path to internet connectivity by creatively addressing its constraints (outdated protocols, legacy equipment, the need for both wired and wireless connections, etc.) and enabling new abilities for the organization. Let’s look at an example of how this industrial IoT transformation is happening. Voice, Video, Data & Sensors Imagine you are a technician from a power plant in an developing part of the world with lots of desert terrain. The company you work for provides power to an entire region of people, which is difficult considering the power plant location is in an extremely remote location facing constant sand blasts and extreme temperatures. The reliance your company places on the industrial devices being used to monitor and control all facets of the power plant itself is paramount. If they fail, the plant fails and your customers are without power. This is where reliable, outdoor IoT connectivity is a must: With a plethora of machinery and personnel onsite, you need a self-healing Wi-Fi mesh network over the entire power plant so that internet connections aren’t lost mid-operation. Because the traditional phone-line system doesn’t extend to the remote location of the power plant, and cell coverage is weak, the company requires Voice over IP (VoIP) communications. Also, because there’s no physical hardware involved, personnel never needs to worry about maintenance, repairs or upgrades. The company wants to ensure no malfeasance takes place onsite, especially due to the mission-critical nature of the power plant. Therefore, security camera control and video transport is required back to a central monitoring center. Power plants require cooling applications to ensure the integrity and safety of the power generation taking place. The company requires Supervisory Control and Data Acquisition (SCADA) networking for monitoring the quality of the inbound water being used to cool the equipment. The company wants to provide visibility to its customers in how much energy they are consuming. This requires Advanced Metering Infrastructure (AMI) backhaul networking to help manage the energy consumption taking place within the smart grid. Since the power plant is in a remote location, there is only one tiny village nearby being used by the families and workers at the power plant. The company wants to provide a
Drone Innovation: Supporting 2016 and Beyond
Drones are an interesting case study in the technology maturation process. Previously only available for military and defense applications, drone use have spread through the industrial and consumer markets faster than nearly anyone, especially the FAA, was prepared for. Despite the regulatory issues that have accompanied this growth, users are finding increasingly innovative and creative applications for the technology. This week, we’ve looked around for drone applications that really caught our eye for the potential long-term implications to the respective industries. Of course, for every example we’ve found, there are hundreds more. Let us know which applications you find most interesting! In case you need a recap, Donald Bell, with CNET highlights five industries that will be dramatically changed by drone use. Now that you are caught up on basics, check out the way drones are poised to save lives in remote areas of Malawi. The biggest problem with testing children in remote areas is the cost to get to the remote area and the time it takes to receive the tests back at a lab for testing. If Malawi is able to substitute drones for the courier service, they will save valuable time and be able to start treating. The Guardian reports that “Working with the government, Unicef is considering using drones to transport medical tests and blood samples from rural clinics to laboratories, avoiding the rutted roads that make even short journeys uncomfortable and unpredictable, partly because of fuel costs and a lack of motorbike drivers.” Drones can save lives, but can they also help us improve the experience on the links? Golf just got a whole lot more interesting in Japan! A new company has created a drone that with one click of your smart phone will bring you more golf balls or a refreshing beverage. What will drones do next? If your answer is, “finally make some of Batman’s crazy tools work in real life,” you would not be far off. Check out this footage from New Scientist of a drone mimic the flexible wings of a bat. Perhaps it’s simply a matter of time before we can strap on our utility belts and batwings and save the world… On the industrial side of things, drones are being used to gather data and infrastructure-related inspections, like bridges. The benefits for this project are twofold: drones could reduce the number of humans needed for the job, and they can also make the job safer by inspecting the more dangerous sections of the bridge. The Minnesota Department of Transportation has also tested the viability of drones for bridge inspections. It’s certainly a viable option that can translate across many industrial applications. Finally, what kind of society would we be if we didn’t begin to prepare our drones for the inevitable future of light sabers and hand-to-hand combat? All jokes aside, teaching drones to have this kind of reaction time to obstacles mid-flight could mean a step forward in some of the concerns about the use of drones in airspaces. For now, though, let’s appreciate this drone-turned-sword-evader. What else is out there? Let us know what you’ve seen around the world with drone applications!
First Responders: Saving Lives, Time and Money Through Innovation
How the Internet of Things is Changing the Landscape for First Responders and Industry According to the National Fire Protection Association, in 2013 there were 369,500 home fires causing some $6.8 billion in damages1 — plus an additional 98,000 apartment structure fires contributing an additional $1.6 billion in losses2. A frightening picture, isn’t it? The numbers are staggering — and yet innovation for emergency responders at both a local and national has not been a priority. The Internet of Things (IoT) aims to change that. Companies are now exploring how IoT technology can disrupt the way emergency responders do their jobs, saving countless lives and millions of dollars in the process. The IoT also holds immense promise for industrial applications, which often take place in remote locations where connectivity and communication platforms are rarely available. The IoT is a vast world, enabling the physical world to communicate with the digital world in new and amazing ways. But thanks to innovations fueled by companies focused on industrial, military, and government applications, we can traverse beyond a network of connected thermostats and smart TVs into an environment where first responders, industrial crews, and our military can communicate and receive critical information in real time. An example of technology that is changing the world of emergency responders as well as industries like Oil and Gas, the Military, and Utilities are ruggedized, industrial shorthaul and Wi-Fi platforms that offer secure collection, control and transport of Voice, Video, Data and Sensor information at incredible speeds. So what does this mean for the industries mentioned above? Imagine first responders being enabled to pull up building plans and architectural details as they arrive on scene. Structural notes are delivered at incredible speeds, giving the emergency responders valuable insight into stairway and fire escape placements and potential danger zones. Communication between police, fire crews and ambulance drivers is streamlined — delivered at blazing fast speeds. In other situations, police can access vehicle databases or hospital services, preserving precious minutes than can mean the difference between life and death. For industrial applications, the IoT holds promise for new levels of connectivity — enabling crews to access and consume information at a moment’s notice. This means workers can collect and transmit important data quickly and securely — even in harsh conditions. Beyond connectivity, the Internet of Things also holds massive promise for the monitoring of emergency responders and industrial crews in the field. Critical sensor data — such as oxygen levels, body and ambient temperature, heart rate and more — can be viewed in real time, giving the ability to monitor the vitals of emergency responders and workers in an instant and watch for danger signs and track bio data in the field. This data can be logged and analyzed, fueling innovation that will help keep these employees safe. The IoT is a vast and ever-growing field — and it holds incredible promise for making our cities a better and safer place to live and work. For emergency responders, where seconds saved can be lives saved, and industries where time is money, the IoT holds remarkable promise for changing the way we communicate, gather data, and work in the field. ————- Sources: 1 – http://www.nfpa.org/research/reports-and-statistics/fires-by-property-type/residential/home-fires 2 – http://www.nfpa.org/research/reports-and-statistics/fires-by-property-type/residential/apartment-structure-fires