Smart Grid: Overcoming the Challenges to Increase Efficiency
Recent research estimates that the Smart Grid will be a $120 Billion industry by 2020. As Industrial IoT (IIoT) drives digital transformation for utilities, there are a fair share of challenges and opportunities facing the Smart Grid industry today. To keep up with rapid growth and new technology that is shaping the utility markets in particular, Smart Grid decision makers must continue to improve efficiency. This allows the organization to leverage better data and make smart business decisions that align with an increasingly connected infrastructure. The Convergence Challenge In utilities markets, the IT/OT divide is rapidly shrinking, revealing significant challenges between the two groups. OT and IT each come to the convergence line with functional and operational differences, yet the changing technology landscape makes it impossible to avoid the inevitable meshing of the two formerly disparate organizations. As Smart Grid decision makers adjust to this shift, strong communication between teams will be essential – as well as careful selection of technology. For example, if utilities can work to integrate their legacy systems on the OT side with the more modern IT systems through a carefully selected communication solution, the Smart Grid will become more efficient, leading to better business decisions, as well as improved system operations and overall visibility. Going Digital IT/OT convergence, coupled with the new digital landscape has also driven Smart Grid organizations to reorganize under IT and address new technology challenges from a jobs perspective. Utilities are facing an ageing, traditional workforce on the OT side coming head-to-head with a new digital-centric workforce on the IT side. For Smart Grid organizations, it is essential to find the balance between hiring new technology savvy talent and nurturing existing staff. IoT will continue to drive automation, as Smart Grid decision makers either upgrade their legacy systems or figure out how to connect existing ones. We may see an increase in privately funded secondary education programs designed to create a more skilled workforce. If decision makers embrace the inevitable shift to digital, they will not only see the impact on efficiency, but they will stay competitive in an IoT driven market. Smart Sensor Boom IoT sparked a digital technology shift that resulted in the proliferation of Smart Sensors. Now utilities are able to monitor and transfer critical data from any asset – from the network Edge back to the central office. The demand for sensors hasn’t slowed – research is pointing towards continued and substantial growth in the Smart Sensor market between now and 2021. As sensors bring connectivity to more endpoints than ever before, utility decision makers are able to obtain detailed data for Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) networks. With rugged wireless solutions, the sensor data is readily available in real-time for IT decision makers. The unrestricted access to data from all network endpoints forces decision makers to shift their focus from Big Data to Smart Data – the data that matters most to the business. It also drives the need for real-time analytics in order to streamline operations. This not only simplifies the convergence issue, but it drives Smart Grid efficiency. There are many factors contributing to the efficiency of the Smart Grid. While some initially present themselves as challenges, increasing connectivity and digital transformation give decision makers better data, connect more field assets and enable more opportunities to benefit the business.
Precision Agriculture Benefits from Rise of Next-Gen OEM Technology
Precision agriculture has long been one of the leading industries for deploying cutting-edge OEM technology. Autonomous vehicles, sensor systems and data-driven analytics are all examples of technology that the precision ag industry embraced well ahead of widespread adoption. Today, precision agriculture is responsible for a sizable portion of our national economy, and the accompanying technology appears poised to push management practices even further into the realm of the Industrial IoT. This week, we’re highlighting two tech trends driven by the growth of next-gen OEM technology and looking at the effect those technologies are having on the industry as a whole. Agriculture Drones Perhaps one of the most immediately obvious areas of development is the commercial drone industry – specifically, as it applies to its application in precision agriculture. Research and Markets announced last week that it expects the agriculture drone market to reach $3.7 billion by 2024 – a scant seven years down the road. The report cites innovations in GPS mapping, OEM systems that incorporate advanced analytics, and an increase in the automation of the agriculture process as driving factors in the expected market boom. On a Commercial Drones FM podcast, Thomas Haun, VP of strategy and globalization for PrecisionHawk, discussed the accelerated convergence of commercial drone hardware and software. He looks at drones as having the unprecedented ability to redefine and change the foundational verticals due to the innovative applications that are being enabled by advanced hardware and software. Even though precision agriculture has never been shy about leading-edge technology, drones may just upend the industry even more than most analyst originally predicted. OEM and IoT via Satellite Northern Sky Research recently looked at how OEM is intersecting with IoT powered by GPS and satellite technology. The report notes that most new installs of M2M and IoT technologies will be powered by precision GPS: This is a more data-intensive type of data gathering for Agriculture applications, where data points such as machine performance, moisture levels, pesticide levels and other characteristics are all harvested and optimized on a higher resolution coordinate system in the field, essentially, a real ‘smart farm.’ The deployment of precision GPS technology is a notable departure from the traditional meter-reading applications that have driven agriculture technology in the past. These new ‘real smart farms’ will have the ability to collect that data run real-time decision making powered by data analytics. The report also highlights the expected boom in partnerships with agricultural equipment manufacturers, driven mostly by the growth in the “number of OEM installs in farming equipment such as forklifts, tractors and dozers …” The result looks something like a smart network with proprietary third-party applications responsible for delivering automated, data-informed decision making in real time. Intelligence at the Farm’s Edge If the two trends mentioned above come to fruition, the precision agriculture industry will see a successful transition from ‘big’ data to ‘smart’ data. If programmable OEM technology can be integrated into new and existing farm systems, the industry will see intelligence and analytics being deployed closer to the edge – the point of data collection – than ever before. Drones are becoming critical tools of for data collection and asset monitoring, and as GPS precision continues the improve, the farming industry is poised to reap the benefits of increased data-driven intelligence.
Drones and Emergency Response Teams – Friend or Foe?
The drone business has been flying high for the last few years, especially as they became popular consumer devices as regulatory and technological frameworks continue to take shape for greater implementation into the National Airspace (NAS). Much has also been written though about the possibilities of drones igniting the next wave of innovation for enterprise specific applications in precision agriculture, oil and gas, construction, asset monitoring and delivery, and mining. However, it’s clear that the military sector will continue to lead all other sectors in drone spending for the foreseeable future, thanks to worldwide demand of this technology. But perhaps the most intriguing applications for drones in the coming years are those related to safety – public safety, that is. State and local governments are certainly beginning to take their SWOT (Strengths, Weaknesses, Opportunities, Threats) analyses of implementing drone technologies for their own emergency response efforts. Why just two weeks ago, local officials around Japan were looking at drones to help “beef up” their disaster response programs, in the event of a major disaster such as an earthquake. Even last week the North Carolina Department of Transportation’s Division of Aviation collaborated with close to 50 state and local government agencies and researchers for a workshop about the use of drones in crisis situations. North Carolina is also looking at applications for drones for monitoring rockslides along Interstate 40 at the Tennessee border (a common headache for DOT officials). However, one of the critical discussion points during the workshop was looking at ways to ensure private owners of drones (with or without the best of intentions) don’t interfere with or further complicate emergency response efforts. Are Drones Friend or Foe? According to the FAA’s newest estimates, we can expect about 7 million drones to ship to the U.S. by 2020. Which also means, our skies are likely to become much more crowded with not just private consumer devices, but possibly many more commercial devices as well. This is where an early examination of the cost/benefit analysis of drones used in emergency response support may prove to be helpful. By several accounts already reported, numerous police departments, local and regional government agencies, fire departments, Community Emergency Response Teams (CERT) and even lifeguards are already adopting and testing drone technologies in the event of an emergency response situation. By no means do we expect that trend to discontinue. However, it is also important to get a handle of what the negative outcomes could be so that technology companies like FreeWave can help address these issues now through technical guidance, tech innovation and considerations for implementation into the NAS. Based on what we’ve gathered so far, by far the biggest concerns for drones being used in emergency response is when it interferes with corresponding aviation efforts. There are numerous accounts of private drone pilots causing challenges for search and rescue and firefighting efforts. Just yesterday the Texas A&M Forest Service was reported to have asked its local residents to not fly drones near the wildfires they are trying to battle near college station. Drones were said to have caused a serious safety hazard for firefighters and halted the assistance of other firefighting aircraft. Another instance was in Sharp Park in Pacifica near San Francisco when search and rescue crews were delayed in their rescue mission when a drone flew much too close to the helicopter that was trying to save someone who had fallen off of a cliff. The point here is that while many of the newly born issues from drone flights are based on human oversight or error. It shines a light on just how new this new technology really is (for consumers and enterprises) and how much there still is to learn. We expect to see much more regulation get handed down in the coming years (on a local, state and federal level) to help curb errant drone usage in our increasingly crowded airspace. Furthermore, sense and avoid tactics between disparate aircraft will become even more paramount with each new drone flight. If you would like to learn more or want to add your own take to the drone discussion, please comment below!
News Round-up: Wireless and Ethernet
As the Industrial Internet of Things (IIoT) drives the production of connected devices, wireless and Ethernet-based technologies have become an important piece of the connectivity conversation. Entire industries are making digital transformations and it’s changing the way businesses operate. There are billions of IoT devices in service and development continues to ramp up. Recently, we’ve seen several wireless and Ethernet technologies headlines in the news. Wireless and Ethernet News Is Ethernet Coming to the Network Edge? By David Greenfield | Published on @automationworld “We’ve tarBygeted a small scale, single-chip processing solution (to bring Ethernet to industrial edge devices) by reducing processor speed, memory and RAM size, reducing the interconnection complexity from processor to network interface, and reducing the pin count and complexity of the network interface,” said Weingartner. Essentially, “we’re bringing MAC into the PHY (the physical layer of the OSI model which connects a MAC to a cable), which is what Ethernet is all about. Doing this opens up possibilities not just for new implementations, but for brownfield applications as well.” Wireless Electric Cars About to Hit the Road By @robnikolewski | Published on @sdut “What’s called dynamic charging foresees a future where vehicles charge themselves as they drive. Using coils embedded in roads, EVs would refuel as they stay in transit, creating their own self-perpetuating electrical loop. It’s similar to the way some mobile devices get charged.” The Ethernet Ecosystem Today is Driven by Applications, not Speed Alone By David Chalupsky | Published on @networks_asia “For many years, Ethernet evolution was characterized by the “need for speed” as networks and data centers sought higher and higher throughput. But over time, Ethernet has found its way into applications unforeseen by the developers of the original specification, resulting in a broad and varied Ethernet ecosystem. Today the desire to bring the advantages of Ethernet into new applications necessitates a new approach where the needs of the application are considered first and foremost in defining new Ethernet incarnations.” Actualizing the Internet of Things Starts with Wireless By @robrueckert | Published on @TechCrunch “The most promising of wireless power technology seems to be radio frequency. With its apparent lack of serious problems and its unique strengths, radio frequency has the greatest long-term potential to become the market’s leading source of wireless power to fuel the Internet of Things. No significant evidence exists depicting radio frequency as posing a threat to humans. The human body consists mostly of water and radio waves do not transmit energy through water. Radio frequency is also highly configurable. Devices sending and receiving radio frequency power can easily be equipped with regulators, enabling control of how much power will be emitted and received.”
IoT Spurs Wireless and Ethernet Technology Growth
In 2017, we are more connected than ever before. From a consumer standpoint, our homes are smart – they can change temperature based on our presence or preferences; our cars act more like computers; we can monitor our nannies from our computers at work; and, we can remotely lock our doors –just to name a few. This growth in connectivity isn’t limited to the consumer realm though – it has impacted the vast majority of industrial applications as well. Our critical infrastructure is becoming more connected to conquer traffic management problems, monitor the environment and improve manufacturing. Digital technology is no longer a “nice to have” – it’s a necessity for optimal business operations and we see many industries turning to wireless solutions. Chances are that even the most remote oil pumpjack sitting 30 miles away from the nearest highway has several connected devices onsite and it is probably using wireless technology to control, monitor and connect. It seems that wireless and Ethernet technologies continue to have an important place in our increasingly connected world. The Future Looks Good for Wireless Smart Industry recently posted an article reviewing some statics provided by HMS that demonstrate the growth in wireless and Ethernet devices as the demand for connectivity continues to grow. In the article, Anders Hansson cites new big trends such as the Industrial IoT (IIoT) and Industry 4.0 as drivers behind the demand for more wireless devices. Here are some of the key statistics shared that demonstrate the demand and growth: Industrial Ethernet is growing faster than previous years with a 22 percent growth rate. Ethernet now makes up for 46 percent of the global market, compared to 38 percent last year. Wireless technologies are growing by 32 percent and now accounts for 6 percent of the total market. Fieldbuses are still the most widely used type of networks, with 48 percent of the market. Industrial Ethernet and wireless combined now account for more than half of the market at 52 percent. It will be interesting to see how the technology landscape is impacted by the deployment of more wireless technologies over time. How are you using wireless and/or Ethernet technology for your connectivity needs? Do you expect to use more wireless technology in the next six months to a year?
IIoT Apps are Brewing
General Electric recently published a piece with three important reasons software developers should focus on the industrial Internet of Things (IIoT). It cited the fact that IIoT apps can solve real-life problems in our cities, provide the opportunity for more than 18.5 million developers to advance digital infrastructure, and justify the big investments in IoT. FreeWave on App Development In our 2017 prediction series, we also highlighted the emerging opportunity for IIoT app development. We believe that IIoT app development will start to outpace consumer app development in 2017. IoT app development can play a significant role in driving Smart Data over Big Data for mission critical use cases. Organizations need to get the data they need when they need it, and new applications at the Edge can help send the right data to the right people. We also see a huge business opportunity for developers: the opportunity to leverage cybersecurity applications and the need for business apps that will coincide with IIoT apps to meet standards and interoperability challenges. Although it is early in the year, we’ve already begun to align with our prediction through our R&D efforts here at FreeWave. Recently we partnered with an app development company to offer something new to our customers. New Apps at the Edge FreeWave’s new partnership with Systech offers an industrial Tank Level Control application that resides on and executes from FreeWave’s ZumLink Industrial IoT (IIoT) Programmable Radio for edge networks. The new application was developed by Systech for FreeWave and features an easy-to-use “ITTT (If This Then That)” process control programming interface that will control analog, digital and RS485 sensors linked to the ZumLink programmable radio. The FreeWave ITTT App is designed for a user-friendly experience and requires no previous programming knowledge or practice. It is ideal for M2M and IIoT use cases at the access layer and will perform automated Sensor-2-Server (S2S) functions to streamline operations. We are watching IIoT app development closely and will certainly have more advancements and announcements in relation to our own journey with bringing apps to the ZumLink IIoT Programmable Radio. What kinds of IIoT apps would you like to see?
IoT News Roundup Topics of the Week: Big Headlines in Early 2017
The Internet of Things (IoT) continues to drive headlines in early 2017. It seems like every day we are seeing a flow of news stories about a more connected world. We’ve been watching some of the IoT and Industrial IoT (IIoT) headlines across the trades and have compiled some of our recent favorites. IoT News Headlines Forbes: HR can use big data to drive engagement, predict success By Valerie Bolden-Barrett| Published on @hrdive “Forbes Human Resource Council says HR can use big data in the same manner as key performance indicators and retention metrics to carry out organizational goals. The council offers six ways HR can leverage data.” “With all the big data and technological advances at HR’s disposal, over reliance on metrics can ignore employees’ human needs. Engaging employees sometimes can be a simple as acknowledging them for a job well done or asking for their input in a major decision affecting their work.” Lady Gaga’s Halftime Show Drones Have a Bright Future By @brbarrett | Published on @WIRED “Each drone communicates wirelessly with a central computer to execute its dance routine, oblivious to what the hundreds of machines around it are doing. The system can adapt on the, er, fly, too. Just before showtime, the computer checks the battery level and GPS signal strength of each drone, and assigns roles accordingly. Should a drone falter during the show, a reserve unit takes over within seconds. All of which is pretty cool in its own right. But making it work for the biggest television event of the year takes a whole different level of planning.” How Service Relationship Management and the IIoT Are Keeping Transportation on the Right Road By Michael Riemer | Published on @IoTJournal “In 2016, the Internet of Things went mainstream, but in 2017 we expect the Industrial Internet of Things (IIoT) to transform operations across numerous industries. Also known as the Industrial Internet, the IIoT enables machine-to-machine (M2M) communication of usage, performance and health metrics. There is quite a buzz around using this data, along with machine learning and other predictive algorithms, to help anticipate and eliminate potential causes of downtime. Nowhere is this more evident than in the commercial asset service ecosystem. Trucking fleets, construction assets, agriculture and power-generation equipment are all susceptible to costly unscheduled downtime and generally long repair cycles.” China is Now the World’s Largest Solar Power Producer By @luchanglu| Published on @DigitalTrends “As it stands, solar energy represents only one percent of the country’s energy output. But this may soon change as China devotes more and more of its attention towards clean energy. The NEA says that China will seek to add more than 110 gigawatts within the next three years, which could help the nation up the proportion of its renewable energy use to 20 percent by 2030. Today, it stands at 11 percent.” We predicted that 2017 would be a transformative year with a lot of innovation and smarter data, especially within the IIoT realm. These recent headlines are certainly tracking along with those insights. It will be interesting to see how IIoT continues to shape markets and change the way we do things.
Network Management Solutions for IIoT
The shift towards digital technology solutions and the rise of the industrial Internet of Things (IIoT) have transformed operations for many organizations. Currently, there are a number of wireless communication solutions available that are specifically designed for IIoT, M2M and SCADA networks. These technologies monitor, collect and transfer critical data in challenging environments to support mission critical use cases. As technology continues to advance, Sensor-to-Server (S2S) technologies have emerged to support advanced data practices, such as predictive analytics. IIoT has not only increased the number of devices in the field, but has also brought the OT and IT departments closer together. This convergence is challenging for many businesses as they look to find technology that will meet evolving demands. IT, for example, needs better field visibility as industrial networks become more connected every day. This need has driven a strong demand for detailed, real-time information solutions that will support IT network operations. Having a network management system (NMS) at the access layer helps meet those needs and companies like E2E have begun to offer NMS solutions specifically for IIoT, M2M and SCADA networks. These networking solutions help overcome some of the major visibility issues from an IT perspective and are suitable for operation in challenging environments . FreeWave’s NMS Partnership FreeWave recently announced a new technology partnership with E2E Technologies. E2E’s Stingray Network Management System (NMS) will support FreeWave’s WavePro™ wireless communication solutions. Stingray is optimizable for IT professionals looking to manage individual components of a limited IoT or M2M communications system within a larger IT network management framework. Companies in energy, utilities, municipalities, government, oil and gas, and more will benefit from this solution as they now have a technology solution designed to help bridge the IT/OT convergence gap.
Energy and Excitement at DistribuTECH 2017
This week we attended DistribuTECH 2017 with several thousand of the leading minds in technology, education and innovation for utilities, Smart Grid and municipalities. We had many great conversations about the direction of Industrial IoT (IIoT) and the all-encompassing digital technology shift. At the FreeWave booth we led many demonstrations of our latest technology. We also shared how our fellow attendees can achieve smart data at the Edge. Here is a small snapshot of the excitement and action from the show: FreeWave at DistribuTECH We had a lot to share at DistribuTECH this year. In addition to providing product demos at our booth, we just launched several important company, product and partnership announcements. Here’s the run-down on what we launched this week: New IIoT Products & Two New Partnerships Introduced at DistribuTECH Zumlink Z9-C and Z9-T Radios: FreeWave introduced the Zumlink-Z9-PE last Fall, but now it brings the next generation, high performance platform to market. ZumLink is the underpinning of the company’s go-forward IIoT strategy for IIoT and embedded radio applications. The Z9-C and Z9-T deliver high speed Frequency Hopping Spread Spectrum (FHSS) functionality in a radio module that is half the size of a credit card. FreeWave and Systech application partnership: Together with Systech, we announced an industrial Tank Level Control application that resides on and executes from FreeWave’s ZumLink IIoT Programmable Radio for edge networks. The new application features an easy-to-use “ITTT (If This Then That)” process control programming interface that will control analog, digital and RS485 sensors linked to the ZumLink programmable radio. The FreeWave ITTT App is designed for a user-friendly experience and requires no previous programming knowledge or practice. Technology partnership with E2E Technologies: E2E is a comprehensive solutions provider specializing in communication architecture design, implementation and network management. E2E’s Stingray Network Management System (NMS), supports the full array of FreeWave’s industry-leading wireless communication solutions and is optimizable for IT professionals looking to manage individual components of a limited IIoT or M2M communications system within a larger IT network management framework. The New FreeWave We officially unveiled a new look and website that reflects our move to the next generation of the industrial IoT: The Programmable Edge and Fog Computing. The new FreeWave visually projects our future-focused mission to help organizations around the world connect and gain valuable intelligence from devices – even in the most challenging of locations and conditions – anytime, anywhere in a secure, reliable fashion. This week has represented several major milestones for FreeWave, and launching it all at DistribuTECH was the perfect platform for sharing both our news and the future direction of FreeWave. What do you think about the new FreeWave website?
2017 IIoT Prediction Series, Part 1: Where the Fog Meets the Edge
As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we took a look around the IIoT landscape to see what this year might potentially have in store. We will be unveiling five IIoT-related predictions throughout this week and into next, so stay tuned and let us know what you think! It’s become increasingly difficult to ignore the importance of cybersecurity. From the role it played in the 2016 presidential election to the recent revelation that in 2013, more than one billion Yahoo accounts were breached, cybersecurity is no longer a problem unique to Sci-Fi thrillers. Of course, the two examples mention here are simply the most egregious of recent memory, but they pale in comparison to the threat of a cyberattack on actual infrastructure. Cybersecurity for the Industrial Internet of Things (IIoT) began as a minor headache and quickly grew into a full-blown migraine. Data is the perhaps the most important “currency” in the world today, and companies both public and private are scrambling to figure out the best way to protect that data will still ensuring real-time transport and analytics. With that in mind, our first prediction for the new year centers on the deployment of new methods for data transport and protection: 2017 will see the emergence of True Fog Computing and Programmable/Intelligent Edge Devices with the strongest security measures to-date. According to analysts, organizations have become more comfortable hosting critical infrastructure and application in the Cloud. In efforts to further optimize processes and shorten response times, organizations will explore ways to host applications at the device/sensor level (i.e., the Edge or Fog Computing). A decentralized network architecture that brings computing power closer to where data is generated and acted upon, Fog Computing enables analysis, control and automation closer to the “Things” in the Industrial Internet of Things. Because Fog Computing reduces the amount of data being sent to the Cloud, cybersecurity will be enhanced by reducing the threat and attack surfaces of IIoT networks. In industries where even milliseconds are vital, certain processes will move away from the Cloud and closer to the Edge. The basis of this shift in intelligence deployment is simple: the Cloud, while fairly secure, is still prone to security breaches, so rather than host all of the data and the analytics tools, move those processes closer to the edge to the sensors and devices with security already built in. Now, while the concept is simple, the execution is more difficult. This shift requires a robust, high-speed network capable of real-time data transmission and, perhaps even more importantly, programmable devices at the edge. Rather than thinking about big data from the perspective of drinking from a fire hose, a programmable device at the edge allows the user to develop proprietary applications that filters out unnecessary data. Subsequently, the smaller data packets enable two things to happen: faster transmission to the analytics engines, and the ability to send that data via mesh networking technology, which has proven to provide greater security. Simple, right? As it stands, the greatest problem facing this shift in intelligence to the edge is that there are, at the moment, very few companies creating programmable devices for the edge. It’s a different way of approaching data transmission and security, and so far, the industry has been slow to catch on: rather than trying to build a wall in front of a massive door (the Cloud), eliminate the door and create a series of constantly moving mouse holes (the Edge). Which sounds easier to protect?