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.
The Importance of Frequency Hopping
(Original blog can be found on the Texas Instruments website) Are you a fan of those 1940s black-and-white movies where a damsel in distress gets rescued by a rough-and-ready private eye? If so, then you’ve probably seen actress Hedy Lamarr. In real life, Hedy was no damsel in distress. She was one of the primary inventors of frequency hopping technology now seen in Wi-Fi®, Bluetooth® and code-division multiple access (CDMA). The technology Hedy Lamarr helped invent is frequency-hopping spread-spectrum (FHSS) radio technology. FHSS is a wireless technology that spreads signals over rapidly changing frequencies. Each available frequency band is divided into subfrequencies. Signals rapidly change, or “hop,” among these subfrequency bands in a pre-determined order. Used in global industrial applications for over 60 years, 900MHz FHSS radios equipped with TI’s chipsets like the SimpleLink™ Sub-1 GHz CC1310 wireless microcontroller (MCU) now have the ability to host process-automation apps for the intelligent command and control of remote sensors and devices. Without having to leverage expensive Wi-Fi bandwidth, lay fiber or employ cost-prohibitive cellular, companies can now take advantage of proven low-power FHSS technology to automate processes at the network edge. The proliferation of smart sensors and high-bandwidth devices makes low-power FHSS technology a viable and cybersecure wireless data option for oil and gas, unmanned systems (like unmanned aerial vehicles [UAVs] and robots) and original equipment manufacturer (OEM) wireless integration. Because innovators like TI have developed such powerful chips, FHSS is no longer restricted to pure telemetry or input/output (I/O). Indeed, FHSS increasingly supports voice and video, and can scale to form self-healing mesh networks. Moreover, FHSS transmits data over much longer distances than Wi-Fi, Bluetooth, LoRa or zigbee – up to 60 miles in some cases. Because FHSS is a wireless technology that spreads its signal over rapidly hopping radio frequencies, it is highly resistant to interference and is difficult to intercept. Interference at a specific frequency only affects the transmission during that extremely short interval, making FHSS inherently cybersecure. By employing intelligent TI-based FHSS technology, organizations can take advantage of real-world fog computing and intelligent edge communication devices that are cybersecure and resilient. When deployed as process-automation nodes, these devices (pictured in Figure 1) can make decisions and take action at the access level (or at the sensor or device). Indeed, not only is FHSS a reliable and robust option for Internet of Things (IoT) networks, it is also a low capex and opex solution that can work for years without maintenance. Contact FreeWave to learn more about FHSS technology and order a couple of TI-powered radios that you can program (in Python, Node-RED and Node.js) for real-world fog and edge applications. Also, find out more information about the CC1310 wireless MCU and other products within the SimpleLink MCU platform.
Rugged IIoT Solutions That Can Weather Any Storm
Mount Washington Observatory (MWO) is a research facility located at the heart of what many consider the “home of the world’s worst weather.” Think thick ice, dense fog, drifting snow, powerful winds, sub-arctic temperatures, rapidly changing conditions and more fog. The New Hampshire-based facility provides critical research data on the Earth’s climate and doubles to protect the lives of the MWO crew, US Forest Service Snow Rangers and New Hampshire Fish and Game employees by providing real-time weather updates. Collecting data is critically important for MWO operations and the safety of those it helps protect. In this vicious and unforgiving environment, FreeWave’s rugged IIoT solutions are responsible for delivering the data that is invaluable to research and safety efforts. Powering through Fog and Ice The extreme conditions at the MWO facility range from fog with 50-100 mph winds to sub-arctic temperatures that are accompanied by 140+mph winds and thick ice. The weather is known to change frequently and fast, with ice accretion rates of up to 12” per hour — and visibility is often limited or non-existent. These extremes make it the ideal location for studying the environment and climate. However, when search and rescue teams are deployed the situation can quickly become dangerous. They rely on MWO’s real-time data to assess conditions. As you can imagine, there is little room for connectivity issues when people are out in the elements. Ruggedized IIoT Solutions The key to establishing a network at Mount Washington is robust and hardened technology that will perform in the Summer and Winter extremes. For more than 13 years, FreeWave 900MHz spread spectrum radios have delivered the data that the crew relies on to survive some of the most intense weather in North America. While the technology is constantly exposed to the rough conditions, it performs day-in and day-out, providing critical data around the clock. Check out the full case study, including a description of the network here: https://www.freewave.com/mount-washington-observatory/
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?
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.
Happy Independence Day!
As we prepare for fireworks, barbeques and all of the excitement that comes along with tomorrow’s holiday, we’d also like to recognize what Independence Day means to the U.S. By definition it’s the celebration of the Declaration of Independence and the birth of our incredible country as an independent nation. On this holiday, we’re also reminded that millions of people have sacrificed (and continue to sacrifice) in order for us to gain and retain our freedoms and liberties. As a company that has had the honor of working in the military and defense industry for more than two decades, we are humbled and grateful to all of the men and women in the armed forces. From the bottom of our hearts, with respect and admiration, we’d like to thank all of brave men and women who have served and sacrificed for this great country — including those who are currently serving today. FreeWave and the Military The government and defense industries have been woven into FreeWave’s story from early on. As previously noted, we have worked in the defense markets for more than two decades providing wireless communication solutions – including command and control (C2) links for unmanned systems. Our embedded communication solutions for drones and robotics have logged more than 2.5 million flight hours without a single link failure. As the number of unmanned systems for air, land and water increases, it is imperative for manufacturers and operators to use rugged, reliable and secure C2 solutions with high-speed data transmission. We are dedicated to continuing to provide robust and trusted solutions. Not only do we focus on providing a great technology, but a solution that can be trusted to operate when human lives are at stake. We hope you have a wonderful Fourth of July holiday!
International IIoT Perspectives: Smart Cities
The Industrial Internet of Things (IIoT) is, at times, hard to pin down. The stronger the technology has gotten, the broader the applications have become, affecting everything from energy, to smart cities to manufacturing, and in the process, blurring the line between traditional consumer and industrial markets. Interestingly, in the United States, much of the Industrial IoT advancements have come from the private sector – oil and gas, utilities, precision agriculture, etc. International IIoT, however, has seen real advancements coming from cities – smart cities, that is. Smartest Cities in the World A 2015 article from Forbes provided a list of the top five smartest cities in the world based on a number of factors, including environmental monitoring, smart traffic management, data usage and creative tech applications. Barcelona topped the list, with New York City, London, Nice (France), and Singapore rounding out the top five. In each instance, the use of smart technology improved quality of life, efficiency, and better overall functionality. Of course, there are myriad factors to consider when evaluating a city’s “smartness,” but considering how many moving parts – literally and figuratively – that it takes to create a smart infrastructure, the breadth of application is impressive. Barcelona’s comprehensive wired network drives an infrastructure that is constantly aggregating, transmitting and analyzing data for all kinds of things: The boxes are no regular electricity meters. They are fine-tuned computer systems, capable of measuring noise, traffic, pollution, crowds, even the number of selfies posted from the street. They are the future of Barcelona, and in some sense they are the future for all of us too. The hard drives are just one piece of what is “unusual” on this street, in fact. Cast your eyes down, and you might spot the digital chips plugged into garbage containers, or the soda-can-size sensors rammed into the asphalt under the parking spaces. The paragraph above not only highlights the often hidden aspects of smart cities – sensors, hard drives, boxes – but also the sheer magnitude of the data being collected from wherever possible. The technology that powers that data collection lies in the actual communication networks, which are powered by an array of RF, cellular and WiFi connections. Today, many of the devices that are responsible for collecting the data from the source – the access layer – are capable of hosting third-party, proprietary applications that can filter and transmit data in specific packages, turning Big Data into Smart Data. Lately, London has focused on green energy and environmental progress. The city launched an initiative to become a zero-emission city by 2050 with a combination of electric vehicles and public transportation. Sounds familiar, right? The actual mechanisms driving that initiative are not necessarily ground breaking: reduce combustion engines on the road, encourage people to use public transport. However, the technology has finally started to catch up. With smart traffic monitoring capabilities, public transportation can run more efficiently, keeping to strict schedules. Additionally, driverless vehicles can perhaps help lead a transportation infrastructure devoid of human-caused accidents, opening the road systems and, again, leading to greater efficiency. Smart Cities, Smart World Of course, the two examples above come at a high level. There are significant technologies driving the actual implementation of smart city devices, but the key factor is that the leaders of the respective cities understand the need for a stronger, smarter infrastructure. Many other cities are catching up – India often pops up with smart city initiatives, which is a fascinating case study based on the economic disparity of the country. Still, the drivers of the international IIoT goals often point to the development of smart cities as an ideal outcome based on the continued growth of connected technology.
Autonomous Tech and Self-Driving Cars Dominate the Headlines
The autonomous tech industry is poised to explode, driving job growth and technological innovation. Everything from self-driving vehicles to automated infrastructure is sitting on a precipice of advancement that can be a truly momentous step into the era of the connected world. This week, we are focusing on some of the industry news surrounding autonomous vehicles, including the manufacturing aspect, their space in a smart city, and how major metropolitan areas initially resistant to the technology are starting to come around. In Japan the Race is On for Self-Driving Cars IMAGE by Takashi Aoyama According to a recent study by the Boston Consulting Group, fully autonomous vehicles are expected to account for a quarter of all new cars by 2035 — a slice of the auto industry totaling around $77 billion. While automakers across the globe are racing to become a leader in this new tech, no where is the competition more intense than in the auto-manufacturer rich island nation of Japan. This recent article from the San Francisco Chronicle notes that Toyota, Nissan and Honda have all made significant investments in developing autonomous tech. The autonomous vehicle race is particularly impactful because of the major implications to not only car OEMs who have to fundamentally change the way they approach their product, but to the hardware and software companies building the technology that will support these highly sophisticated (and regulated) vehicles. Could Owning an Autonomous Car Make You “Traffic Elite”? IMAGE courtesy ZDNet If you end up being an early adopter of new autonomous tech, you may find your commute becomes shorter. ZDNet explains that a recent proposal from UC Berkeley grad students suggested the creation of a “Hyperland” — a special traffic lane reserved just for self-driving vehicles. If you want to be in the Hyperlane, you better not mind a brisk ride as the special lanes would allow for speeds over 100mph. The traffic on the Hyperlane would be controlled by a central computer that monitors traffic congestion, speed, and other variables through advanced sensor arrays and keeps traffic flowing freely. The project will cost a cool $11.4 per mile of road, so travel will likely come with a toll to ease the financial burden. Self-Driving Cars Job Market Booming IMAGE by Gene J. Puskar, AP With so much emphasis on autonomous driving, cities are rushing to cash in on the movement. According to the Detroit Free Press, the advanced driver assistance systems and autonomous vehicle market was around $5 billion in 2015. It’s projected to grow to $96 billion by 2025 and a staggering $290 billion by 2035. This massive market growth has led to a number of cities across the country pitching their location as the “place to be” for autonomous tech. From Austin to Pittsburgh, automakers, OEMs and even government officials are pushing for their city as the best spot for innovation in the autonomous vehicle space. So will it be Detroit or Silicon Valley? Or one of a host of other cities vying for a slice of this massive cash cow? Time will tell. Better Late than Never: New York Easing Up on Laws for Driverless Vehicles Back in 1971, New York passed a state law insisting all motor vehicles have a driver with at least one hand on the wheel at all times. Back then, this seemed that a pretty standard rule — but with the advent of self-driving cars, the rules of the game have changed. A recent article from the Democrat and Chronicle noted that until recently, New York was the only state the explicitly banned driverless cars from its roadways. However, the state has now approved a pilot program to allow the testing of driverless vehicles under certain conditions. State Senator Joe Robach was a vocal advocate for the new change. “While the technology for fully driverless cars is in the future, consumers certainly appreciate the automated technology that is currently in cars, including lane assist, self-braking, hands-free park assist and collision avoidance,” he said. “The legislation that was passed earlier this year ensures that driverless cars can be tested on the roads that future consumers in our state will use them on and are tested responsibly.” Audi of America is the first automaker to get approved for the new program, with other manufactures expected to jump on board in the coming months.
Robotics on the Battlefield
We’ve all seen those futuristic Sci-Fi movies where man and machine fight alongside each other in the throes of battle. While that might have seemed far fetched years ago, the reality is that robotics are increasingly becoming a part of our military today. In fact, the Pentagon recently requested prototypes of combined human-robot squads. As the robotics industry becomes increasingly important to military officials, technology providers are working hard to develop solutions that will support increasingly automated military efforts. A recent report estimates that robotics in the military will grow at a CAGR of 9.5 percent between now and 2023. According to the same report, robotics will be most used by the military in Europe during this time frame, followed by North America. The U.S. military continues to test out the possibilities for leveraging robots to protect soldiers, increase visibility in combat situations and generally streamline operations. Not only are these robotic applications groundbreaking — but they’re also really cool. News stories on new robotic technology boast of robotic ships, heavily armed unmanned ground vehicles, and robotic tanks – with more innovative technology coming out all the time. For example, there is a robotic insect called the “RoboBee” which was created for crop pollination and disaster relief efforts, but could also potentially lead to robotic insects used for military purposes as the true “fly on the wall” concept — equipped with audio and visual capabilities. There are also recent reports around the push for robots designed to carry wounded soldiers out of battle instead of forcing medics to enter live combat zones. These robotics may also support troops behind enemy lines in a variety of other ways to prevent risking more lives, such as dropping medical supplies to soldiers in dangerous areas. Future technologies may have the power to deliver specific medicine and even blood to wounded soldiers. While there are robotic models being tested and deployed around the world, perhaps the most uncertainty lies in the data. A Data Disaster? As recently reported in Popular Mechanics, the robotics of tomorrow may be facing a serious data problem. The article notes that for one, robots are both consumers and creators of data. Technology needs to be able to sustain the sheer amount of data required for robotic operations. The article also highlights the importance of collecting and using the right data instead of ALL the data. The good news — thanks to the Industrial Internet of Things (IIoT) — is that modern technology is becoming more favorable for managing data and it will further be supported by secure command and control (C2) links. Wireless data communications solutions are available that enable reliable C2 links have been trusted by the government and defense industry for decades. Not only are they proven in combat, but they are applicable for today’s complex data-centric systems, including robotics. With appropriate security measures and encryption capabilities in place, C2 links can be better protected to thwart malicious attacks on these automated systems – a critical function when the C2 links enable operations of the device. Further, when frequency-hopping techniques are used there is an additional layer of security, as these types of devices leverage coordinated, rapid changes in radio frequencies that naturally avoid interference. When FHSS technologies are combined with FIPS and AES security standards, as well as multiple user-defined cryptography keys (up to 32), they are equipped with a highly robust link that is well suited for military and combat operations. While robotics brings concerns to the data conversation, technology providers are working to keep up with modern data needs. With a secure C2 link, technology is further hardened for combat applications. It will be interesting to see the developments in robotics for the military in the next couple of years. What are some of the most interesting robotics applications you’ve seen?
7 Tips for OEMs to Improve SCADA Networking Communications
From remote field sensors to Supervisory Control and Data Acquisition (SCADA) and I/O modules, industrial wireless radios connect your device and sensor ecosystems with robust and reliable links. Furthermore, wireless data radio networking technology connected to I/O modules for SCADA applications have become faster, smarter and their firmware now easier to upgrade. More options and frequencies, including 2.4 GHz for short range I/O and 900MHz for long range data networking, continue to improve SCADA-based network communications for robotics, industrial automation, unmanned systems and heavy machinery. So what do Original Equipment Manufacturers (OEMs) need to know when deciding upon which technology to use? Below are seven tips for OEMs to consider when reviewing industrial wireless communication options. 1) Assess Technology Options for the SCADA Network Start first by identifying your needs, goals, and limitations. When it’s time to research technology options, observe what’s available today and what’s going to be available in the future, heeding the “buyer beware” saying. Communication products vary in many ways, and each manufacturer and/or technology has advantages and disadvantages. No single product—and likely not a single manufacturer—can meet all application needs. 2) Reduce Costs While some companies seek to continue to preserve existing investments of wired and wireless technologies, wireless options have clear advantages for SCADA systems. Most obviously, wireless installations reduce labor and material costs by avoiding hard-wiring remote assets. Speed of deployment adds savings. Wired systems can take days or weeks to be properly installed. Wireless networks generally require only the end points to be installed, saving substantial time and costs. Networks need to scale gracefully as the number of end points increases. After installation savings, scalability is the biggest advantage of wireless over hard-wiring, including slow integration into wired systems as it’s implemented. 3) Consider Hybrid Benefits Toss out any old perceptions. If you need mobile SCADA network access, find somebody that offers it. If you have a microwave tower place, use it. Piggyback slower licensed radio networks with faster 902-928 MHz frequency hopping, AES encrypted networks. Know that you can install I/O capable radios (analog and digital signal, 4 to 20 and 1 to 5) to relay contact closures or other data without adding a new Progammable Logic Controllder (PLC) or Remote Terminal Unit (RTU). 4) Maximize SCADA System Value With telemetry technologies, such as spread spectrum radios, the same radio used in RTUs can act as a slave device sending data back to the SCADA host, and as a repeater to other field devices or other RTUs. This allows almost limitless network expansion by using remote sites as a series of repeaters, and by using radios in the RTUs to poll the instrumentation. Polling the instrumentation creates a second network reporting wirelessly back to the RTU. This shorthaul network is the equivalent of a local area network (LAN). 5) Don’t Use a Proprietary SCADA System By using a non-proprietary SCADA system, users gain real-time access, control, and monitoring of their network (including all the devices and functions of their network). They can manage requirements of an ever-growing system allowing them to manage their network in real-time with fewer bodies and hours invested. Security and safety improves with better monitoring. For instance, some industrial systems don’t contain a process for monitoring the cathodic integrity for corrosion (like in water/wastewater and oil and gas) to avoid disaster. But with deployment of a wireless system, they can. They can begin by monitoring simple things, such as pump stations at wells, using I/O radios communicating back to the central SCADA system to get up-to-date information on the tanks’ or pipelines’ status. End users can more quickly resolve an emergency wirelessly, instead of manually. 6) Seek SCADA System Flexibility Advanced flexibility of radio communications offers benefits to new SCADA system deployments and upgrades performance of existing SCADA systems. For example, in water/wastewater industrial applications, there need to be generation/distribution, lift stations, system monitoring, and treatment facility systems in place (or planned) to meet the expanding growth of a community’s population and/or service areas to meet future requirements. Each year, many industries deploy more frequency hopping spread spectrum (FHSS) SCADA solutions to help monitor and manage critical infrastructure. Several manufacturers (including FreeWave Technologies) offer FHSS radios capable of retrieving data from remote locations. And although wireless IO (input/output) has been available, only recently have both capabilities been offered in one communication solution. 7) Seek Easy-to-Use SCADA Software OEMs implementing and using a SCADA network systems for data communications want a simplified, rapid setup and easy management of a network. That includes ability to manage multiple frequencies and multiple networks within one system. A centralized storage and management center provides easy access to system configuration and diagnostics data. Technicians in remote or harsh weather environments need robust reporting capabilities. Software like FreeWave’s ToolSuite can manage data communication diagnostics and configuration.