Industrial IoT Top News: Fog and Edge Computing
As more IoT devices are deployed (with billions to come in the near future) there is a substantial push towards on-device analytics, programmability, and command/control for critical applications. This is especially relevant for businesses that are driving operational transformation with remote or industrial networks. As a result of these factors, all roads point to fog and edge computing as critical practices for meeting the future demands of Industrial IoT (IIoT). Below you will find our list of top news stories that highlight the trends, research data, predictions and best practices around edge and fog computing over the past few weeks. If you want to read about an edge computing application being deployed with our customers today, read about the “Small SCADA” edge application here. Edge Computing Supports the Growing Needs of IoT Devices An article recently featured in Network World by Raj Talluri (@rajtalluri) looks at the increasing power of everyday IoT devices. This newly achieved power results in reduced data center loads and cloud-based capabilities that are leading to IoT innovation. As a result, on-device computing and analytics (i.e. edge computing) are growing in importance. “Edge computing delivers tangible value in both consumer and industrial IoT use cases. It can help reduce connectivity costs by sending only the information that matters instead of raw streams of sensor data, which is particularly valuable on devices that connect via LTE/cellular such as smart meters or asset trackers. Also, when dealing with a massive amount of data produced by sensors in an industrial facility or a mining operation for instance, having the ability to analyze and filter the data before sending it can lead to huge savings in network and computing resources.” The future of IoT Deployments Points to Fog Computing A recent TechTarget article by Alan R. Earls looks ahead at fog computing. It notes that large amounts of data required for IoT devices is leading to a future that includes fog computing and edge IT. The article reveals that IoT leverages more devices than ever was conceivable. In fact, the most recent estimates foresee more than 50 Billion IoT devices deployed in the coming years. These devices are often deployed outside the data center, far beyond the reach of IT professionals. As a result these devices are going to be increasingly software-defined to allow for remote management, revealing the need for critical fog IT strategy planning. “Tomorrow’s cloud will need to extend beyond the walls of a service provider’s data center, seeping into the business — becoming almost pervasive via edge devices and local connection hubs.” Successful Fog Implementation With Fog Computing on the horizon, an EE Times post by Chuck Byers of @OpenFog, offers tips for successful fog implementation. The post focuses on recognition of where fog techniques are needed, spanning software across fog nodes North-South and East-West, understanding the pillars of the fog as identified by OpenFog, Making fog software modular and linked by standard APIs, and tips for making each installation very easy. “Software is the key to the performance, versatility and trustworthiness of fog implementations. Make it manageable and interoperable by carefully partitioning it into functional blocks. The interfaces between these blocks should be based on well tested, standard APIs and messaging frameworks. Open source projects can be a good starting point for fog software development once you’re identified the right properties for your applications.” The Transformative Nature of IoT A post in Computer Business Review discusses the shift in IoT from optimization from transformation. According to the post, more than half of IoT projects have met or exceeded their goals even though most are sticking to improving company efficiencies rather than transforming business processes. A recent survey states that for the 47 percent of companies which failed to meet IoT goals, two reasons stood out: company culture and a shortage of skills.This further demonstrates the importance of getting the whole company behind IoT projects in order to have the greatest chance of success. The article also highlights the early, but growing importance of edge computing. “Edge computing, where computing and analysis is carried out near where data is gathered, not in a central data centre, is continuing to grow in importance but there’s still progress to be made. About 30 per cent of sensor data is currently analysed ‘at the edge’, the rest goes to a traditional data centre which creates issues of latency and bandwidth for the network. But looking forward those surveyed expected more than 70 per cent of sensor data would stay at the edge within five years.” A New Look at Data Through Edge Computing A TechTarget IoT Agenda Blog by Jason Andersen (@JasonTAndersen) examines how more engineers are placing a higher importance on data produced by their automation systems than on the tools needed to make them happen. This evolution in thinking reflects the increasing potential that data and advanced analytics offer enterprises in untapped business value, especially looking at emerging practices like edge computing. “Currently, most industrial enterprises are in the ‘informed’ stage, where they are starting to understand and realize the potential of IIoT, but have not made strides in tapping its potential. However, many are beginning to look ahead and think more tactically about progressing to the next phases.” Could Edge Computing Weaken the Cloud? An opinion piece by Bob O’Donnell (@bobodtech) in TechSpot examines the potential changes we can expect to see as we move closer to edge computing. While he doesn’t see cloud going away by any means, he does expect a shift towards edge computing in some areas. “Exactly what some of these new edge applications turn out to be remains to be seen, but it’s clear that we’re at the dawn of an exciting new age for computing and tech in general. Importantly, it’s an era that’s going to drive the growth of new types of products and services, as well as shift the nexus of power amongst tech industry leaders. For those companies that can adapt to the new realities that edge computing models will start to drive over
IIoT Edge Applications: Small SCADA
In a small SCADA environment, remote monitoring and automation are important tools for creating operational efficiency and ensuring cost-effective solution deployment. Real-time data in small SCADA environments enable programmable radios to act upon data at physical locations of the sensor or device. As such, processes can be remotely monitored and controlled without the Cloud. You still can send data to the Cloud, but only the data you need, when you need it. This frees up network bandwidth and minimizes latency significantly. In industries where even milliseconds count, this kind of Edge intelligence can mean the difference between ops in the red or ops in the black. We recently announced the release of our ZumDash application, which is hosted on our ZumIQ App Server, and can function agnostically across different I/O systems and networks. In a small SCADA environment, the ZumDash is ideal for real-time data aggregation and transmission. It is capable of running both at the Edge on hardware, as well as the Cloud, ensuring uninterrupted functionality. In an oil and gas setting, ZumDash can empower field operations managers via the intuitive dashboard display that can be customized to fit individual needs. Additionally, the app itself is powered by Node-RED programming, making it easy to configure on the fly, along with the ability receive real-time alerts for any operational needs like inspection, parts replacement, or troubleshooting. Essentially, having a remote monitoring and automation system powered by programmable Edge radios that can host proprietary third-party apps like ZumDash enable companies to more effectively deploy resources, saving time and money across the board. For any companies in the Industrial IoT space – or companies that rely on dispersed assets and asset management – intelligence at the Edge can be the true difference maker for your organization. For more information about the ZumDash Small SCADA application, please visit: https://www.freewave.com/zumiq-remote-access-control/ To learn more about the full ZumIQ solution, read case studies or download solutions briefs, please visit: https://www.freewave.com/zumiq/
Connect Field Assets Together with Node-RED App Dev
Until recently, modern solutions for remote process-control and automation applications were limited to expensive retrofits, recurring subscription fees, and costly internal software development. Small- to medium-sized businesses often struggle with the balance of enabling these critical monitoring and control functions, while also focusing on the bottom line. Fortunately, the rise of open source software development has introduced new solutions that finally offer a more affordable option, with rapid ROI and measurably reduced OPEX and CAPEX. These solutions combine process-driven industrial app and edge intelligent platforms that can be implemented easily and affordably. These platforms achieve enterprise-level process control, monitoring and automation by combining 900 MHz wireless telemetry with the ability to program and host third party apps for intelligent control and automation of remote sensors and devices. Picture a Linux-based Raspberry Pi embedded in a robust industrial Ethernet radio. The beauty of these solutions is that they are designed for both experts and novices in the app dev space. Developers can program with any language that is compatible with a Linux kernel. Node-RED, in particular, has proven to be especially successful with the novice developer crowd, enabling fully functioning and visible small SCADA solutions that solve a variety of issues for small- to medium-businesses, namely the cost reduction of installation, maintenance and upkeep of more expensive hardware solutions. With Node-RED, Industrial IoT (IIoT) apps are easily designed and hosted on the radio at the edge of the network – offering local intelligence, analytics and process control to cloud-based systems. These apps have even raised the possibility of eventually serving as SCADA replacement. The programming possibilities are endless and the needs are vast, opening a significant opportunity for IoT developers to create apps that can be executed at the edge. This impacts many industries, but especially those with remote or geographically dispersed networks, such as those in oil and gas, precision agriculture, utilities, water/wastewater, and government/defense. In water/wastewater, for example, we’re already seeing the implementation of a Node-RED, complex water utility app. Node-RED Complex Water Application When a water utility has dispersed assets, such as tanks that are a large distance apart, there is a Node-RED SCADA app available that allows orchestration of both manual and automatic control of the system directly from the app dashboard without using expensive logic hardware. The Node-RED SCADA app also enables real-time alerts to potentially dangerous or damaging events via text or email – directly to their mobile devices. This is easily executed under Nod-RED programming and here’s a demonstration of how it works: With the edge intelligence and process automation delivered in a programmable platform we’re already seeing increased uptime and lower on-site maintenance costs because of the enhanced ability to monitor and troubleshoot remotely. Because data is acted upon at the sensor, these edge intelligent and process automation platforms solve problems, remotely, that are not easily solved with traditional hardware solutions. As we look towards the next generation of SCADA, it’s looking a lot more affordable and flexible. What types of apps would you like to see for water/wastewater?
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.
Calling Industrial IoT Developers…to the Well Pad?
Organizations continue to enhance their digital transformation strategies as they see measurable benefits and improvements in operations. Many industries that have traditionally used either manual methods or a disparate technologies for data collection, will soon have access to next generation, cloud-based monitoring and control of their networks. In these networks, robust wireless communication technologies bring intelligence to remote assets, enabling command, control and visibility from computers or mobile devices, and accessibility from anywhere. These future-proof wireless telemetry systems leverage automation and programmability to monitor data globally and execute and process logic locally. As organizations eye the future of operations with these types of capabilities there are big opportunities for software developers in the Industrial IoT (IIoT) space. Developers in Demand With programmability introduced to the industrial IoT network, the possibilities for developers are endless. Novice developers could even leverage open-source technologies like Python and Node-RED to enable new applications for monitoring and control that can transform business operations. We’re already seeing automation prototypes for tank level monitoring of remote and isolated oil/gas assets, and this is only one example of the type of application that would prove highly beneficial for organizations with geographically dispersed assets in the field. These programmable solutions are also extremely flexible, as a company can choose to develop the app themselves or integrate third-party applications. There is at least one pilot program currently in progress designed to support and enable developers who want to create applications for expansive IIoT networks. IIoT app development can serve a number of industries. The ability to add programmability to these solutions further supports companies as they digitize operations. Next Generation Automation for Oil and Gas Small-to-medium-sized oil and gas companies in particular can benefit from automation technologies that combine wireless telemetry with programmability, especially in terms of ROI. By automating manual processes, they cut down on operating costs by a large marker. Well pad automation technology builds analytics and intelligence into the wellhead environment. This is a big step beyond traditional communications because it enables the intelligent applications and programmability to establish an advanced operating environment. With a modern communication network in place, the organization becomes more agile and productive because it can leverage predictive analytics, remote command and control, new protocol translations, and modern cloud-based services – all at the well pad! When the oil and gas company has the power to make informed decisions that drive higher production outputs, they are able to visualize and measure the benefits. It’s an exciting time in the IIoT space as we watch digital transformations change the way companies operate. With more processes automated and programmability being incorporated throughout the entire network, even at the most remote edge, we’re seeing significant opportunities for developers to help point these industrial organizations at the future.
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.
NFL Advances In-Stadium Wireless Connectivity
(Image courtesy of www.sportsauthorityfieldatmilehigh.com) With the NFL season kicking off, we decided to investigate one of the more overlooked aspects of the game: in-stadium wireless communication. Surprisingly, several aspects of the game experience rely heavily on wireless communication: coaches headsets on the field and in the booth, concession stand payment processing, and, of course, fans with smartphones. Anyone who has attempted to connect to publicly available wireless internet in a stadium, concert venue or otherwise generally crowded area knows that connectivity is finicky at best and nonexistent at worst. In the era of instant score updates, fantasy leagues, Twitter and other social media applications, fans expect to be able to use their smartphones during a live-game experience. Additionally, even just a few years ago coaches themselves dealt with connectivity problems: … The tablet computer in his left hand — a high-tech replacement for the black-and-white printed pictures coaches have used for decades to review plays — kept losing its Internet connection, leaving Belichick unable to exchange images he and his coaches rely on to make in-game adjustments. The fault is apparently in a new private Wi-Fi network the NFL installed in stadiums this year to great fanfare. Internet service is erratic, making a system financed by one of the world’s richest sports leagues little better than the one at your local coffee shop. … Of course, since then, the NFL has gone out of its way to better incorporate wireless communication technology into the stadium experience for fans and personnel alike. This year, the Denver Broncos 3,000 5 GHz wireless antennas in Mile High Stadium (we should note, the claim of ‘most of any NFL venue’ is unverified): To increase fan connectivity, Broncos announce install of 3,000 5GHz wireless antennas at stadium, believed to be the most of any NFL venue. pic.twitter.com/ES2CWZhJ0z — Patrick Smyth (@psmyth12) September 5, 2017 For the NFL, and other large events, the question of connectivity has more to do with bandwidth capacity than access to a wireless network. Most cellular carriers provide access to LTE networks in the populated areas where stadiums and event centers are located, but the sheer amount of data being used during an event like the Super Bowl has grown exponentially over the years. In 2014, data usage at Super Bowl XLVIII totaled around 2.5 terabytes. Super Bowl LI, played in February 2017, saw nearly 12 TBs transferred throughout the game over WiFI alone, with Facebook and Snapchat accounting for almost 10 percent of the total bandwidth. Verizon and AT&T customers combined to use another 20 TB of data over those networks. With those numbers in mind, it makes far more sense to utilize high-bandwidth technology like WiFi, rather than relying on the LTE networks to support those big data figures. When IIoT and the NFL Collide The average consumer thinks of WiFi as a broadband service facilitated by a router in one’s home or office. When scaled to the usage size of a football stadium-worth of bandwidth consumption, however, a regular router will not suffice. Instead, these stadiums use wireless communication technology that has been deployed with regularity in the Industrial IoT for years: signal repeaters and access points peppered strategically throughout the necessary coverage areas. Just like companies in the utilities, oil and gas, precision agriculture and smart city industries, these stadiums are relying on industrial-strength WiFi platforms to handle the data demands of teams, vendors and fans. An additional consideration for stadiums and critical industries is the security of these networks, so tech vendors must be able to supply built-in security measures within the access points. These networks must be secure, flexible and reliable in order to support the massive demand being made for hours on end. The New Generation of Stadium Experiences We tend to take internet access for granted these days. Connectivity is already nearly ubiquitous and only growing each year, so it makes sense that stadiums would eventually start to catch on to the technology being used to propagate these industrial-strength networks. At this point, it is not just the NFL that is working on pushing the stadium experience into the next generation, other professional sports leagues, music venues, and festival sites are catching up to the IIoT technology that is proving to be a literal game changer.
Manufacturing in the Age of IIoT
Few industries can claim such a foundational impact on the United States as the manufacturing industry. Modern manufacturing began with the birth of the assembly line and the transformational effect it had on the automobile industry. Companies then adopted that approach to product manufacturing and logistics. The early phases of the next generation of manufacturing appeared as machine-to-machine (M2M) communication, a forbearer of the concept behind the Internet of Things (IoT). Eventually, IoT became so broad that specific designations were needed to differentiate between the consumer and industrial side of things, thus paving the way for the Industrial IoT (IIoT). Today, manufacturing companies, while often on the leading edge of automation technology, are still scrambling to adapt to the explosion of sensors, communication platforms, big data and high-speed analytics to maximize efficiency and future-proof their products or designs. Some companies are touting the idea of retrofitting – a concept that has existed for some time – but some plant engineers may be wary of the need for continual updating to a system that is bound to become irrelevant at some point. Still, the process can be relatively painless, and is quickly becoming necessary, as Plant Magazine notes: … Most food manufacturing and processing plants have motors powering essential equipment such as mixers, conveyors and packaging machines. But they’re just motors. They don’t play in the same league as other intelligent devices. With years of service to go, it’s difficult for plant managers to justify replacing motors that work just to make an upgrade with smart features. But motors can connect to the IIoT without a complete overhaul. Instead of investing in new, more intelligent/smart equipment, consider investing in sensors that provide similar functionality to connected devices. Smart sensors attach to almost any standard low-voltage induction motor. Sensor technology is sophisticated enough to be small, functional and energy efficient. For certain kinds of manufacturing plants, a complete overhaul may not be necessary, and a ‘simple’ retrofitting process might easily solve the first part of the problem. The second part of the problem, or challenge, is that along with smart hardware, plants also need the software and data processing capabilities to keep pace. Some plant engineers are solving these challenges by deploying programmable radios capable of hosting third-party applications so that the data can be transmitted in smaller, highly specific packets, making the transport both fast and easier to push into predictive analytics platforms. From there, software companies are building in the ability to process data in the cloud, essentially running all critical data and software operations through either a fog or cloud computing process. Cloud software services have the potential to be highly customizable based on the needs of the manufacturing plant. These technologies are good examples of the ongoing convergence between traditional information technology (IT) and operations technology (OT) needs in industrial markets. Currently, the manufacturing industry is sitting in an interesting spot: leaders in the M2M world, but still adapting to the IoT world. Where the industry ends up in the next 10 years could be a strong indicator of the economic and financial temperature of the domestic and international marketplaces.
Intelligent Decision Making in Precision Agriculture
Modern businesses are making intelligent business decisions thanks to the Industrial IoT and its push towards increased connectivity. In precision agriculture, new technology has the potential to be a game changer for crop management, enabling more visibility over crops and intelligent decision making that directly impacts food output. However, according to a recent article from CropLife magazine, while farmers are leveraging automation, the precision agriculture industry as a whole is relatively new in comparison to the traditional agriculture industry, and so is the adoption of IT technology. The exciting news is that farmers are increasingly turning towards automation to streamline operations. As automation and connectivity are adopted for precision agriculture, there is an emerging market for drones that is ripe with possibility. A recent article focusing on drones in agriculture reports, “With precision agriculture, farmers can now rest assured that they are making crucial decisions correctly and intelligently – made easy through drone analytics.” Drone manufacturers are actively working to make technology that they believe will change the game for precision agriculture. They aim to improve food production and more efficiently distribute pesticides and water. Drones may also aid in disease management for the diseases that rapidly spread through crops. With the use of cameras, drones are also able to offer farmers real-time visibility into the health of their crops. With the rise of drones in the commercial and industrial sectors we see a lot of opportunity for drone manufacturers, technology providers and farmers alike. What we also see as a key to success in all these areas is technology that performs with consistency and reliability. In the case of drones, without secure and reliable command and control (C2) links, drone performance will suffer, and as a result so will the important data that farmers will find essential to making intelligent decisions. Command and Control Links There are technologies available that have proven to unfailingly support critical drone operations. In fact, after decades of serving mission-critical applications in government and defense, the same C2 capabilities of advanced wireless data communications have begun to migrate into the commercial and industrial drone markets. Today, there are a number of secure wireless data communications solutions available that enable reliable C2 links and have been trusted by the government and defense industry for years. Additionally, there are solution providers that offer multiple frequencies for C2 links offering unmanned systems manufacturers a portfolio of options to deploy. In addition to frequency options, when the appropriate security measures and encryption capabilities are in place, C2 links can be better protected to thwart malicious attacks on unmanned systems. For the precision agriculture industry this means less downtime and reliable drones for operations that are critical to the health of the crop. Drones and other modern IT technologies are disrupting the precision agriculture industry, but there is substantial potential for a big impact on the farming industry as a whole. As drones are developed to carry out these applications in precision agriculture is especially important to ensure they are being created with the C2 links that will support modern connectivity needs.
FreeWave to Attend Three Industry Events This Week
FreeWave is taking on three major events across the globe this week to showcase our latest and greatest Industrial IoT Solutions, including a couple new product releases (read about them here and here). We will be attending IWCE, Internet of Things North America and IoT Asia. At IWCE and IoT Asia, we will be showcasing our latest technology in the exhibit halls. Find us at Booth #768 at IWCE and #E28 at IoT Asia. During exhibit hours, we will be offering live demos of our S2S communication solutions. We will also have company experts giving educational sessions at Internet of Things North America and IWCE. Here’s the rundown for each show: Speaking at IoT North America Sensor-2-Server: Execute Locally, Communicate Globally Wednesday, March 29 at 3:45 p.m. The idea of comparing data in motion (at the sensor level) to data at rest (in a big data server warehouse) with predictive analytics in the cloud is very appealing to many industrial customers. However, the problem is access to that data in motion at the sensor location. The increasing shift toward Industrial Internet of Things (IIoT) tends to bring up a lot of questions about the continued value of Supervisory Control and Data Acquisition (SCADA) systems that have traditionally served as the driver for monitoring and control in industrial markets. Although OT and IT are beginning to converge, there is still high demand for SCADA data. However, new technology offers the opportunity for data to be used in ways that were previously not possible, such as predictive analytics. This doesn’t make SCADA obsolete, as many operators are using it and will continue to employ it. Speaking at IWCE FAN, Smart Grid and SCADA: The Original IoT Thursday, March 30 in Room S224 from 10 a.m. – 11:15 a.m. The increasing shift toward Industrial Internet of Things (IIoT) tends to bring up a lot of questions about the continued value of Supervisory Control and Data Acquisition (SCADA) systems that have traditionally served as the driver for monitoring and control in industrial markets. Although OT and IT are beginning to converge, there is still high demand for SCADA data. However, new technology, such as Field Area Networking (FAN), offers the opportunity for data to be used in ways that were previously not possible, such as predictive analytics. SCADA may not be obsolete, but examine how it and FAN fit into this new world of smart grids and smart cities. Network Management and Cybersecurity for IoT: The First Step to Smarter Cities Thursday, March 30 in Room S224 from 11:30 a.m. – 12:45 p.m. IoT management systems that are able to extend control over a wide net of dissimilar technologies and provide relevant personnel with timely actionable-intelligence are essential components to these next-generation networks. Examine the hardware and software of fully-automated management systems, able to function autonomously and “intelligently” beyond the network edge to collect, analyze and decide on the best course from a set of alternative actions. Then explore the security goals you need to have in place with the influx of IoT information and the resulting IT/ OT convergence, including who is responsible for the overall security of IoT management systems. Products Featured at IWCE Booth (#768) and IoT Asia Booth (#E28) WaveContact Family (https://www.freewave.com/wavecontact-wireless-oilfield/) – WaveContact Modular wireless systems provide rugged, simple and flexible communication solutions that are easily and quickly deployable. WaveContact products interface with a wide variety of sensors deployed in industrial and critical infrastructure markets such as oil and gas, electric power, water and wastewater and environmental monitoring. The product line is built for short-range field applications where simplicity and ease of use in Class 1 Division 1 hazardous locations are critical for success. ZumLink IIoT Programmable Radio (IPR) (https://www.freewave.com/products/zumlink-ipr-iiot-programmable-radio/) – The industry’s first wireless IIoT radio capable of supporting third party applications for Edge and Fog Computing in Industrial IoT (IIoT) communication networks. FreeWave’s IPR can support JAVA, Python, C, C+ and GO, and it connects to any IT device or sensor. The platform is capable of hosting third party and proprietary IoT applications for energy, utility, municipal, smart city, government and military use cases. ZumLink Z9-C and Z9-T (https://www.freewave.com/products/zumlink-900-series/) – Serial radio modules for OEM and Embedded wireless applications. The ZumLink Z9-C and Z9-T are ideally suited for unmanned systems and other industrial machines and solutions that require highly reliable, high-speed data communications and networking. WavePro (http://go.freewave.com/l/68372/2015-12-16/37myq8) – Designed to secure and transport Voice, Video, Data and Sensor (VVDS™) information, this cost-effective, high-speed, rugged wireless communication platform is specifically designed for outdoor industrial locations and has proven reliability in extreme environmental conditions. It’s an ideal field area network solution for oil and gas, utilities, mining, power plants, municipalities, disaster recovery or for any other applications that require remote and resilient Wi-Fi connectivity in nontraditional settings. Are you attending any of these events? Be sure to stop by the IWCE and IoT Asia booths for a demo of our latest offerings. Or, stop in for one of our educational sessions.
