FreeWave Blog Series: The Intelligent Edge
A Blog Series Dedicated to IIoT, Application Development, and Intelligence at the Edge The Internet of Things (IoT) has changed the consumer world in ways no one ever imagined. By placing intelligence in the IoT network, the “Thing” can do whatever we want it to do. Now Industrial companies are seeking to take advantage of this edge-deployed intelligence in order to maximize profits, improve safety and streamline operations. In addition to the challenges IoT technology had to overcome such as cybersecurity, scalability and interoperability, Industrial IoT (IIoT) must also focus on reliability, ruggedness and more. FreeWave is uniquely positioned to understand and address all of these challenges. We have delivered world class IIoT platforms for almost 25 years to thousands of industrial and unmanned systems customers. With that experience, we’re now leading the charge to deploy intelligent applications at the edge of industrial networks and unmanned systems. In the first edition of “The Intelligent Edge,” we’re sitting down with Jesse Steiner, FreeWave systems engineer, to discuss how he is helping industrial customers understand the power of deploying intelligent applications in an industrial network. FreeWave: We’re starting this blog series to interview people who are contributing new applications and ideas for IIoT environments. You have an interesting story to tell around that — can you share that with us? Steiner: Sure — so I started getting involved with IoT apps once we released ZumIQ, the App Server Software platform that is deployed on our ZumLink 900 Series radios. I don’t have a whole lot of programming experience — I’ve used a handful of different languages at a pretty novice level over the years. The first thing I used it for was to write a simple app to monitor the level in the water tank out at a remote ranch location that wasn’t often manned. It was the second property for the ranch owner. He had this big water tank, 22,000 gallons, that he needed to keep an eye on the level because it provided irrigation water, drinking water, bathing water, all that. He’d had issues in the past where the circuit breaker on the pump tripped, or had a leak, and he went out to his second property to find he had no water to use. So we took a ZumLink 900 Series radio with ZumIQ, wrote an application for it that would pull a sensor for the level in the tank, it would format that data, and then send it over the radio network to the internet and to the cloud, and then to the ranch owner so he could look at his water tank anywhere. It was really done as proof of concept, and as a learning exercise for me, but it’s been deployed for a month, month and half maybe, and it’s already proven very useful on multiple occasions FreeWave: So how did you write the app? Steiner: I don’t want to call it a programming language, but I used a programming environment called Node-RED. It’s basically a graphical interface to Node.js. It’s a graphical thing where you lay these function blocks down and connect lines but you’ve also got the ability to write your own Javascript code that gets inserted and run in that environment. From there, it got sent to a cloud hosting service called dweet.io, which is really good for very beginner use — it doesn’t require any advanced IT knowledge or programming knowledge and you can get data in there and store it really quickly. And for actually viewing it, I used a service that’s owned by the same company as dweet called freeboard.io. You basically build a dashboard and point it towards the data you have stored in dweet, and it will pull that out and display it in a graphical way. FreeWave: What other applications could the tank level monitoring be used for? Steiner: That application caught the eye of the company who installed the pump and tank system out at that property in the first place, and they’ve since reached out us and said, “Hey, we’re interested in this. We’d like to see if we could develop it further.” As FreeWave, we’re not selling the software or any of the service. But we did provided the radios and pretty much the same code that we had used before to this company, so they can develop something that would be more than proof of concept — really, a marketable software product where you could choose the number of tanks, monitor multiple tanks of different sizes, keep an eye on pump status, potentially control the status of pumps and valves — really for a whole monitoring and control system when it comes to remote irrigation. What that comes down to is intelligence, monitoring and control in remote locations, where is kind of where FreeWave has been used for 20 years out in the oilfields. FreeWave: Any sort of learnings you took away from going through the process of writing the application? Steiner: For a non-developer, the Node-RED environment is a very useful, powerful tool. It’s great for getting simple projects up and running very quickly without vast programming knowledge. The projects I’ve worked on since then have become a bit more complicated, so more and more I wasn’t just using pre-made blocks in these applications, it was just more code in the traditional since. So Node-RED is a great platform for getting going — and I still use it, I just rely less and less on its built-in features and I’m kind of adding my own. Once we got in a situation where we needed to make things truly available anywhere, basically once I grew out of the freeboard.io dashboard, I started making things from scratch in Javascript and HTML, but it was really a good springboard to get me introduced. In terms of tips for somebody that would be just starting, really the biggest tip is don’t be intimidated. Don’t think you need to be an expert coder to put together
Where is SCADA Headed?
With all the chatter around Industrial IoT (IIoT) and the disruption it brings to business operations, where does Supervisory Control and Data Acquisition (SCADA) technology for industrial organizations stand? Is it still relevant or will it be phased out? As businesses begin to recognize the benefits of modern technologies and deploy them across industrial networks to increase connectivity between the field and business office, this is a legitimate question. However, while organizations are working to modernize their operations, we are finding that SCADA is in no way becoming obsolete – at least for the foreseeable future. Instead, we are starting to see more modern approaches to SCADA. For example, there are now app-based small SCADA systems that are designed to fit modern network needs while putting less of a strain on technology budgets. Research also indicates that the SCADA industry will continue to drive forward. According to a recent report, the global Supervisory Control and Data Acquisition market was valued at $7.5 billion in 2014. It is expected to reach $11 billion in 2021 and is anticipated to grow at a CAGR of 7.40 percent between 2016 and 2021. In the Oil & Gas Market alone it is estimated that SCADA will be Worth $4.52 Billion by 2022. We Still Need SCADA Clearly, SCADA will remain an essential network component; however, we will likely begin to see modern technology have a transformative impact on SCADA. As industries increasingly adopt automation technologies to streamline monitoring and process control, technology providers are working on ways to better integrate SCADA and IIoT technologies into the network. With new programmable app server software platforms now available that combine 900 MHz RF-based technology with the ability to program and host third-party applications, there are clear signs that the SCADA systems of tomorrow will be designed to meet modern data and production demands. The newly available, app-based small SCADA systems that run on app server software platforms are already an indicator of a much more cost effective option than traditional SCADA. This gives smaller businesses an affordable way to manage data and control their network. Reducing Hardware to Drive ROI App Based Small SCADA solutions achieve the same critical SCADA functions of larger systems, including data management, logic execution and visualization – without the use of PLC-type hardware. The ZumDash Small SCADA App, for example, is programmed into FreeWave’s ZumLink radios to achieve collection, monitoring and control functionality. Furthermore, it provides a “dashboard” with status and trend visualization from any web-based device. Using Node-RED for simple, easy programming, the app-based small SCADA system was designed with minimal CAPEX and OPEX. The result is a system that increases production, optimizes operations and mitigates the risk of a catastrophic event. And the beautiful thing about a programmable app-based SCADA system is that it is customizable to individual network needs at a fraction of the cost of a traditional SCADA setup. As technology and automation demands continue to drive innovation, we expect to see an increase in advanced approaches to SCADA. As we look towards the future of SCADA, we see IIoT enabling better operations and control of the network, faster ROI, safer operations and reduced downtime.
IIoT News Roundup: How IoT is Saving Lives
In the past several weeks, there have been two massive natural disasters in the U.S., as Hurricane Harvey made landfall in Texas, bringing historic flooding to Houston and surrounding areas, and Hurricane Irma devastated parts of the Caribbean and Florida. Sadly, thousands of people find themselves without power, food and shelter. It is indeed a terrible tragedy and our hearts go out to those affected. In this devastation, however, there is a story emerging about the role the Internet of Things (IoT) has played in disaster preparedness. Indeed this technology has matured to the point that it is making a real and measurable impact in helping communities prepare for, respond to, and recover from disaster. In today’s IIoT news roundup, we will take a look at several stories emerging around disaster preparedness, smart cities and the IoT. Disaster Response in the 21st Century: Big Data and IoT Saves Lives In this story from Forbes, author Chris Wilder describes some of the ways the IoT and other technologies have changed the way disasters are predicted and responded to. Specifically, Wilder cites the ways crowd sourced emergency applications have made post-disaster communication and emergency dispatch easier and more streamlined. Further, Wilder speaks to the ways Big Data generated from sensors and meters throughout the region helped give more advanced notice to impacted areas and helped predict the path of these hurricanes with greater accuracy. IoT’s Role in Natural Disasters like Harvey In this article from IoT for All, author Hannah White discusses how the advent of the IoT has fundamentally changed the way hurricanes are predicted and responded to. Specifically, White discusses how open data was used to list Red Cross shelters with space availability, as well as evacuation routes that remained passable. White also describes the way organizations are leveraging drone technology in their response. Oil and gas companies are using drones to inspect their facilities, while insurance companies have been able to use the tech to capture high-resolution 3D images of damage to help expedite claim response and enable those affected to rebuild and recover more quickly. Finally, White discusses the way different organizations are leveraging IoT sensor arrays to measure and predict natural disasters in advance, helping to provide critical time to those in harm’s way. Where Will Hurricane Jose Go Next? How Drones and Lightbulbs Help Predict Dangerous Weather Unfortunately, Irma and Harvey are being quickly followed by another potentially dangerous storm (at the time of writing, Tropical Storm Jose) looming east of the United States. In this article from Newsweek author Kevin Maney describes the ways technology is helping us predict storms with greater accuracy. In the article, Maney notes the one of the key components for more accurate weather modeling and prediction is vast amounts of data. Indeed, the IoT is the most prolific and advanced data engine in technology history, and scientists are able to leverage the IoT to make incredible breakthroughs in their weather modeling algorithms. Department of Energy Investing in Power Resiliency In this recent blog post from the Department of Energy, it was announced that the DOE is invested some $50 million to help improve the resilience and security of the United State’s energy grid. This is a particularly timely announcement in the wake of Harvey and Irma, whose impacts on area electrical grids were profound. One of the technologies in discussion as part of the investment are micro grids, smaller, more “agile” energy structures that make the impact of localized storms less widespread. In a traditional grid system, one transformer can impact wide swaths of residents, while a micro grid limits damage and makes repairs simpler, less costly, and faster. Final Thoughts While the devastation caused by these two natural disasters cannot be overstated, IIoT played a significant role in saving lives both before the storms made landfall and after the storms had passed. When it comes to these sorts of disasters, even minutes of additional notice can mean the difference between life and death. As IoT solutions grow more robust and continue to become more ubiquitous in cities across the globe, we expect prediction and response capabilities to continue to advance at an incredible pace.
Hackathons Giving Birth to Innovative IoT Solutions
One of the fastest growing spaces in tech is the world of connected devices — often called the Internet of Things. In the embedded engineering and software development worlds, this technological shift is so pervasive some have taken to called it “The Internet of Everything.” While organizations and enterprises are increasingly putting the IoT at the root of many of their forward-thinking business strategies, one of the strongest engines of innovation stems from hackathons. Hackathons are essentially software or hardware challenges, where teams of developers or engineers are giving a task (i.e. build a smart city solution), with specified hardware or software (maybe a certain development board or programming environment), in a specific time period (anywhere from a few hours to a few days). In today’s top IoT news, we’ll take a look at a few stories in the industry about hackathons and how they are helping shape the IoT. Functional Fabric Hackathon Leads to eTextiles Innovation One of the fastest growing areas of the IoT revolves around smart clothing — sometimes called eTextiles. Smart clothing can range from simple solutions like integrating sewable LEDs into clothing to craft safer bicycling attire, to embedded sensors that are used to monitor environmental conditions for oil and gas workers. Recently, as noted in this article from “The University Network,” the Massachusetts Institute of Technology hosts a hackathon focusing on “Functional Fabric.” MIT has long been a hub for IoT innovation and is one of the epicenters of eTextiles. In the Functional Fabric Hackathon, teams of students faced the challenge of design clothing solutions that would aid soldiers, first responders and victims of disasters. The teams had three days to come up with their solutions and were competing for two grand prizes of up to $15,000. 22 teams competed and the winning solution came from an MIT student group called “Remote Triage.” Their solution was a sensor system that could be embedded in a soldier’s uniform, that would monitor not only vital signs, but could then report any injuries to field medics, provide location of the injured soldier, and even triage the severity of the injury with a color coding system. Hackathon Challenges Young Women to Build Smart City Solutions “She Builds Tech — Smart City Hackathon” recently challenged young women in India to build the smart city solutions of the future. As noted in this article from The Hindu, there were ultimately five winners — a solar energy harnessing paint, a water grid solution system, geo-fencing, a smart ambulance service, and a routing and scheduling system for tourists. The event lasted for two days and attracted over 300 girls from various engineering colleges. TechCrunch Disrupt Hackathon Coming in Mid-September TechCrunch Disrupt, the event that has becoming one of the world’s biggest stages for innovative new technologies, is rapidly approaching, with the San Francisco version of the event scheduled to kick off on September 12th. The hackathon will pit teams against each other in a two-day sprint to design the most impressive tech. At the end of the hackathon, teams will have just 60 seconds to impress judges for their shot at a $5000 grand prize, a slew of gifts and gadgets provided by sponsors, and all the glamour that goes along with winning one of the countries most elite hackathon competitions. To learn more about the hackathon, or to grab tickets to watch the action, check out this article from TechCrunch. — Hackathons continue to prove that innovations in the worlds of IoT, embedded engineering, and software solutions do not have to come just from the prototyping labs of Fortune 500 companies, but can emerge from groups of students and tech enthusiasts faced with big challenges and short timeframes.
The Next Generation of IIoT: Micro & Macro Connectivity
From a consumer standpoint, the impact of IoT connectivity is clear. People can purchase smart home systems and automobiles with increasingly autonomous features. Looking at the potential changes to our daily lives in the coming years, all things point to connectivity. We are eyeing a future where we can monitor and control our homes, vehicles and business around the clock. The news stories are exciting and tangible because new products are frequently unveiled and we see them being used in our everyday lives. This impact has spread beyond the scope of the consumer market, which ultimately led to the Industrial Internet of Things (IIoT). Traditional businesses, like those in utilities, oil/gas and agriculture, face a future that has the potential to transform entire industries due to the power of digital disruption. Despite the growing pains and challenges of “going digital,” industrial businesses face almost limitless potential to streamline operations and control large distributed networks with a level of precision that was previously impossible. As these industries pick up on the value of data and connectivity, next generation applications have emerged that will drive competition and increase productivity. Data and analytics will be available via the cloud and accessible from any device. And even better, the quality of data will be controlled through automation and the incorporation of third party applications. What this means for businesses is they will be able to monitor their networks on a micro level. This allows problems to be stopped in their tracks and for precise process adjustments that streamline operations. With third party applications, there is not only substantial business opportunity for developers, but there are endless possibilities for process control, security and operational apps that will drive down costs and support increased production. Most business decision makers are aware that there is no stopping digital transformation because research shows that it’s already happening. Many businesses are in the process of digital transformation and have already thought about these next generation systems and the research proves this: 75 percent of IoT providers say that big data and analytics are among the top skills they look for when adding talent to their teams. 50 percent of companies look to hire specialists in mobile development. A recent TechBullion article states: “they already have noticed the close relationship of mobile and IoT and plan to launch IoT projects for their businesses within the nearest 5 years.” Gartner says that by the end of 2017 demand mobile application development will grow five times faster than the number of IT companies able to meet this demand. A new report from Frost & Sullivan anticipates a trend in the transition from connected devices to the use of cognitive or predictive computing and sentient tools in the next 12-18 months. So what does this mean for industrial business? It means they need to invest now in the communication technologies that will deliver the data that is absolutely critical for future networking needs. It means they need to think about how they can enable programmability at all network endpoints – even at the edge. And lastly, it means they need to start working through the challenges of a digital shift now so they are prepared for an automated, connected future.
Node-RED: The IoT Programming Language No One is Talking About
Sussing out the key pieces of the Internet of Things is usually accompanied by caveats ranging from the established uncertainty of the future, the security problems of the present, and the legacy system integrations of the past. Industry gurus and thought leaders predict growth in the billions – dollars, devices, deployments, Cloud applications, etc. Networking experts waffle on standardization. Hardware providers sprint to keep up. But one of the critical pieces of the Industrial IoT is something you won’t find jumping off front-page headlines – yet: Node-RED, the programming tool for wiring together hardware devices developed by IBM, is the power behind the IoT throne, and no one is really talking about it. Lost amid the noise about ‘smartifying’ the world is the practical reality that unless you can figure out a way to seamlessly connect the hardware devices that comprise a smart network, you are essentially relying on the Cloud to run an overwhelming number of disparate applications – and that is assuming your network is near invincible. Since the Industrial IoT relies, in theory, equally upon Cloud and Edge device processing, developing software applications that can effectively run in both settings is crucial. This is where Node-RED comes in. According to Nodered.org, the open-source Node-RED ” … provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click … [making it] easy to wire together flows using the wide range of nodes in the palette.” The essence of this tool is that engineers and operating technicians can create and configure applications easily, in real time, on Edge devices. Ideally, the pieces of code being used to create programs are reusable, meaning that the process can be learned by field operators without the need for a degree in computer science. The code is built on Node.js, the JavaScript runtime that frequently pops up on Raspberry Pi platforms due to its ease of use. So, if it is so easy, and so important, why is no one talking about it? The ongoing problem for the IIoT is the Wild West mentality: the no-holds-barred land grab has resulted in disparate hardware and software products that often require a combination of proprietary and open-sourced solutions. As a result, the actual mechanisms that drive the building of an IIoT network are often less talked about than the tangible pieces that come together to build that network. There are several considerations to keep in mind. First, the idea of IT/OT convergence has only just started to gain traction, so legacy solutions (especially in certain industries) haven’t quite crossed the threshold of multi-function. Second, the changing demographic of the workforces in the industrial sector means that the traditional gatekeepers, often not versed in software or computer programming, have been loathe to adopt solutions that require a whole new skill set. The result is that the idea of programming between devices and Cloud applications is in a relative infancy. Third – and still related to the workforce demographic – creating an entire workforce of people versed in both hardware engineering and computer programming is impractical. Those factors, along with several others related to the need for network functionality and data analytics, means that a solution like Node-RED is still not completely understood, and perhaps even more pertinent, still not widely adopted by industry leaders on both the hardware and software side. But it also means that it is more necessary than ever.
On the Edge of Transformation: IIoT for Water/Wastewater
Innovation is everywhere. Even the most industrial of industries are being disrupted by technology that has the power to transform entire market landscapes. The water/wastewater industry certainly falls into this bucket as we see automation and Industrial IoT (IIoT) driving new processes and uncovering data that enables intelligent decision making. Robust wireless, FHSS-based solutions are available today to ensure consistent and reliable delivery of that important data. As we seek more connectivity as a means to understand the network from the business office to the furthest endpoint, all in real-time, we see the potential impact on operations. As a result, utilities are beginning to adopt new methods of monitoring and control that offer more visibility over operations and connectivity at every network endpoint. As a new generation of tech savvy workers rises, further driving innovation and technology as a means for success, we see automation take over many monitoring and control processes – especially in remote networks. The potential benefits water/wastewater impact the utility and the customer, from more efficient operations to safer water. Things like predictive analytics are now available to serve as a problem solving tool for common monitoring issues, such as predicting the likelihood of pump failure. The ability to add programmable radios at the network’s edge opens up new possibilities for streamlined data, enhanced cybersecurity and precise control. The potential cost savings alone are catching the attention of decision makers in the utility business. Here are a few examples of how IIoT is driving major innovation in the water/wastewater industry, and how wireless solutions can help utilities create a network that enables new technology: Treatment Plant Automation – Automation at water treatment plants optimizes operations. With automated monitoring and control, water utilities can further ensure that the water offered to customers is safe for consumption and can help identify issues in real tie. High-speed wireless solutions can help drive real-time automation to ensure uptime, flexibility, safety and long equipment life. Remote Tank Level Automation– Tank level monitoring and control, a critical operation, for water/wastewater is even more challenging when the tanks are remotely located. With automation solutions in place, this can be done in real time. New wireless technologies for remote tank level automation can take this a step further by enabling programmability by hosting third party applications specific to the needs of the individual tank monitoring network. Chemical Injection Water/Wastewater – With the ability to deliver data directly to the cloud, chemical processes can be closely monitored to ensure the utmost in safety and performance. The access to data in real-time is essential in monitoring the chemical process and it ultimately leads to fewer mistakes the chemical injection process. Wireless solutions can enable seamless delivery of this critically important data to the cloud. IIoT is changing the way water/wastewater organizations approach many of their processes, and so far we are seeing streamlined operations and endless potential industry transformation. As the water industry evolves, it will be interesting to see what changes take shape.
International IIoT Perspectives: Precision Agriculture
In the United States, precision agriculture is one of the largest industries by both operational scale and economic impact. The technology utilized is typically on the cutting edge, especially for automation and control. Things like sensors, programmable radios and generally more complex software applications have allowed that industry to evolve, domestically, to a point where land and other resources are used optimally. Internationally, although there have been ‘smart’ or ‘precision’ practices in certain sectors of agriculture, many countries are just now starting to adopt the technology to its fullest extent, including the ability to innovate via start-ups and new practices. India & the Digital Agriculture Revolution According to an article in India Times (image credit), the country is aiming to secure a 20 percent stake in the IoT market share in the next five years through its ‘Digital India’ initiative. While many might look at India and think of the sprawling and diverse urban environments that could offer some potential complications for IoT, it is rural areas seeing the most interesting developments. There has been a noticeable growth in tele-medicine operations, which can allow patients in remote areas to interact with doctors for consultation, eliminating the need to get to a city, or vice versa. Perhaps an even greater area of growth lies in the agricultural realm. According to the article, agriculture employs 50 percent of the country’s population, so the potential for a digital revolution is high. Farmers are just starting to implement sensor technology, automation hardware, and even leading-edge tools like voluntary milking systems the allow cows to be milked on an automated machine according to biological needs. Israel’s Precision Ag Start-Up Community In Israel, where IoT technology is starting to mature, the name of the game is data collection and analytics. Mobile applications, sensor data collection hardware, and advanced analytics software are three areas that Israel is seeing significant market growth, according to Israel21c: Israel stands out in precision-ag subsectors of water management, data science, drones and sensors, says Stephane Itzigsohn, investment associate at OurCrowd. … “Multiple startups are aiming toward the same goal — providing good agricultural data — but approaching it from slightly different angles,” Itzigsohn tells ISRAEL21c. “One might use satellite images or aerial photography; another might use autonomous tractors. Not all will get to that peak in the long journey of farming becoming more efficient.” For example, CropX, an investor-backed advanced adaptive irrigation software solution, can be placed throughout a farming area and synced with a smart phone, allowing the operators to receive real-time data updates on things like soil and weather conditions. CropX is based in both Tel Aviv and San Francisco, indicating that the technology may be poised for wide international adoption in the future. Analytics Drive Italy’s Drought Recovery Italy is perhaps best known for a single agricultural export: wine. However, many would be surprised to find out that it is one of the top corn producers in the European Union, producing more than 7 million tons of corn in 2015, according to an RCR Wireless report. In 2016, the EU’s total corn output dropped noticeably due to year-long droughts affecting production. In Italy, start-up companies collaborated with industrial ag operations develop and deploy widespread soil sensor and water automation technology to help streamline farming practices and create a more efficient system for resource use. The technology allowed farmers to get a comprehensive look at their operations and identify high and low yield areas in order to better utilize the available space. Precision Agriculture and the Industrial IoT The continued maturation of IIoT technology is enabling countries around the globe to better utilize resources like water, energy, and land area to create better agricultural operations. As populations continue to expand, and food production becomes even more important, being able to connect these technologies across the globe could become a key factor in optimizing crop output in critical areas. Imagine the above farm in Italy being able to send its data to data scientists in Germany or the Eastern Europe who could in turn analyze it and provide actionable feedback. Or an industrial farm in Israel managing its yields sending that information in real-time around the country. These possibilities are not far off, and as the networks, hardware and software continue to be adapted, the future of precision ag internationally, will become the present.
Do Drones Help or Hurt Wildfire Fighting?
Summer wildfire season is in full swing across North America, and the question of the utility of drones is once again in the headlines. The technology has proponents on both sides, but it has also been linked to several incidents, including the grounding of critical aircraft in a firefighting effort in Arizona. A key point of differentiation in this discussion is the use of personal drones, similar to the one mentioned in the article above, and commercial drones designed to serve a specific purpose in operations, similar to military or first responder deployments. The problem that firefighters face is the unauthorized use of personal drones, which can create dangerous situations for support aircraft like helicopters and tanker planes. Because firefighting aircraft fly at such low altitudes, they share the same airspace as commercial or personal drones, and at that altitude, one instance of interference can be deadly. A recent Quartz article pointed out the correlation between drone interference and the effect it can have on the people most impacted: civilians and the firefighters themselves: The drone problem has plagued fire departments for the last few years; In 2016, during Utah’s massive Saddle fire, a drone prevented firefighting planes from taking off—if the planes had been able to attack the fire from above, people would not have needed to be evacuated, according to Utah governor Gary Herbert. So far, in 2017, there have been 17 incidents of unauthorized drone disturbance in wildfire areas. In 2016, 40 such occurrences were recorded. In Colorado, firefighting crews are figuring out the most effective ways to use authorized unmanned aerial systems (UAS) to aid fire suppression tactics. When used in an official capacity, drones can be extremely useful. They can be used to survey landscape during a lightning storm when manned aircraft are grounded, or they can be used to deliver supplies to ground crews working in remote areas. Further, with new infrared technology, drones can be used to essentially automate the response protocol process to identify fires with the greatest threat potential, and dispatch the necessary resources before the fires explode out of control. Other leading-edge UAS applications for firefighters include drones that can be pre-programmed with Google Maps flight plans prior to launch, or drones that can stay in the air for hours with greater line-of-sight communications than ever before. The true difference between unauthorized and authorized UAS in wildfire fighting situations is the communication capabilities. When deployed correctly, authorized UAS can use TDMA technology to communicate with other aircraft in the area and ensure that no collisions or interference incidents occur. TDMA is a frequency channel access technique for shared communication networks, essentially enabling a more sophisticated way to drive Point-to-Multipoint communications. It allows multiple transceivers to access and share a single radio frequency channel without interference by dividing the signal into different transmission time slots. This enables swarming applications that enable multiple unmanned systems to operate autonomously, in tandem. For many personal drone users, the temptation to use this emerging technology to capture images or video is strong. Better cameras, greater operating distances and stronger communication capabilities have created a tool that can be both fun and useful for the average user. However, for wildland firefighters, the use of these unauthorized drones pose a serious threat to both their safety and the safety of the civilians they are tasked with protecting.
Manufacturing Change through Big Data, Predictive Maintenance & Remote Access
Although the manufacturing industry has seen some troubling times over the past few decades, new technologies are helping it make a resurgence. So what has manufactured this change, you might ask? The rise of automation and robotics across many sectors, and perhaps one of the most significant industrial impacts since the assembly line was created – the Internet of Things. IoT has given rise to advancements in sensor technologies and M2M (machine-to-machine) communications, along with edge computing analytics and business intelligence from big data. These new methods are fundamentally changing the way goods are designed and produced. We recently wrote a blog highlighting some of these impacts and challenges that coming along with it. Below, however, we’ve gathered a handful of recent industry news articles for you to explore and learn how the industrial IoT is changing the manufacturing landscape as we know it. The Hunt for Zero Defective Parts Per Million When it comes to highly scrutinized and regulated industries, automotive manufacturing is near the top of the list. Understandably, then, automotive manufacturers are quite keen on the pursuit of zero Defective Parts Per Million (DPPM). This recent article from Manufacturing Business Technology discusses the driving forces behind this movement, namely the advent of autonomous vehicle technology. While on-vehicle computer systems of the past may have controlled entertainment or emissions systems, in the near future almost every vehicle system will rely on a piece of silicon in one way or another. With the stakes higher than ever, the advanced capabilities of the IIoT are coming into play to drive manufacturing processes. Moving Outside the Plant: Remote Access Is Quickly Evolving Just a handful of years ago, remote access technology was not a standard. However, as noted in this article from Automation World, a recent survey discovered that 72% of respondents are using remote access to monitor plant equipment and data. While the usage of remote access does vary by industry, the growth in this segment of the IIoT has been strong and shows no signs of slowing — and the applications for remote access are diverse. As Matt Wells, GM of Automation Software for GE Digital said, ““Anyone dealing with distributed fleets has a strong demand to be able to see, manage or control it from a remote spot,” he explains. “It all comes down to the difficulty of accessing that remote asset.” Big Data and Shale 2.0 As oil prices seem to have stabilized (for now) at a lower new norm, oil companies are having to get creative to keep margins healthy and profits rising. One of the ways companies are accomplishing this is through Big Data and the IIoT. This article from E&P Magazine highlights some of the challenges and hesitancies that are emerging within the industry, often fueled by cultural difficulties. However, Mark Slaughter — longtime Halliburton employee and current venture capital advisor — believes in just 10 years, smart analytics will give oil companies the ability to produce the most economic barrel of oil. Preventing Machine Failures through A.I. Automotive recalls are a massive expense for car manufacturers, not to mention the significant public relations disaster that can arise. In an effort to avoid this expensive and unseemly events, automotive companies are turning towards next-gen analytics and automation technologies to help prevent this issues before they become widespread problems. This article from IT Brief states that a recent McKinsey study shows that predictive maintenance could save global businesses an incredible $630 billion a year by 2025. In a world where recalls are pricey PR nightmares, this is music to automotive manufacturers ears. The IIoT’s Role in Product as a Service and Predictive Maintenance Models This recent article from Plant Services explores how the IIoT is changing the way equipment manufacturers and service providers approach their business, particularly through Product-as-a-Service (PaaS) and Predictive Maintenance (PdM). PaaS is the idea of charging for the output of a piece of equipment, rather than an upfront fee for the equipment itself. For example, the volume of compressed air generated by an air compressor. With PdM, advanced analytics are used to monitor the various systems in a piece of equipment, and diagnose and fix potential issues before they become larger (and more expensive ones). As the IIoT continues to grow, and more applications become mainstream, it will be interesting to see how manufacturing processes adapt and change. What new manufacturing promise do you think the IIoT holds? Where industry do you see IIoT gaining a foothold in next?