Applying Automation to Save our Water Systems
Each day, billions of people and organizations around the world face some type of water or wastewater issue. From industrial and agricultural enterprises to consumers, a consistent supply of quality water is crucial. According to the American Society of Civil Engineers’ 2017 Infrastructure Report Card, many of these issues are due to aging infrastructure with an annual $82 billion gap in U.S. water and wastewater system infrastructure investment alone. To help combat this, many of the more than 30,000 rural water/wastewater districts in North America are facing new state and local government regulations. The standards require some level of automation be incorporated to validate the integrity and security of water systems and infrastructure data. On Feb. 14 at 4pm MT, our Chief Marketing Officer, Scott Allen, will be speaking in-depth about this topic at the Colorado Rural Water Association’s (CRWA) 37th annual conference and expo. His session, “Connecting it All: Intelligent Edge Remote Networks,” dives into some of the challenges people face with their water and wastewater systems – like broken or frozen pipes – along with security concerns that automation at the edge can quickly identify and remediate. Where automation can be applied Approaches to water and wastewater management are generally divided into two basic focus areas: quality and quantity. Quality is the integrity of the water supply. You may remember the 2014 Flint, Michigan water crisis, which to this day is still dealing with high levels of lead in the city’s drinking water due to insufficient water treatment. In addition to environmental hazards, security breaches, like tampering with water quality test results, are a major concern in hiding evidence of contaminated wells. Quantity is the amount of water being processed for reclamation, agriculture, recreation, industrial and other uses. Due to the aging water system infrastructure, leaks, shortages and even overflowing tanks create the potential for households and cities to be without access to running water. To maintain and secure a pristine and consistent water supply, wireless automation tools and technology can help gain an accurate representation of water conditions, such as temperature, turbidity, salinity, pH and flow. From there, a wireless data network is needed to automatically transmit the collected data and flag any existing or projected problem areas. It can also help immediately report any security breaches, increase equipment and worker efficiency, automatically react to malfunctions and perform control actions, among other benefits. The power of automation: a case study Take for instance the introduction of automation and wireless by the St. George Water Services Department, part of the Washington County Water Conservancy District in Washington County, Utah. To effectively and efficiently manage and optimize the complete water cycle for 82,000 people living in the city of St. George, Utah, the department needed to collect reliable and accurate data from across more than 100 linear miles. By introducing a radio network to transmit sensor data from across their district, the St. George Water Services Department can now employ an automated SCADA system. This provides clear visibility into the performance of their utility- and solar-powered devices, while also simplifying the process to secure separate systems. To learn more about how the city of St. George accomplished this feat, read our case study here! While awareness around what public water and infrastructure issues need to be fixed are known by water and wastewater associations, many are still figuring out how to address it. If you plan on attending the CRWA conference this week, drop by to watch Scott’s session to learn more about why the introduction of automation and SCADA technologies that are crucial to a clean and fully-functioning water supply, and how radio networks enable these technologies. Hope to see you there!
Injecting Agility and Automation at the Well Pad
Small-to-medium-sized oil and gas companies understand what it takes to be agile. They must survive and thrive in an industry led by giant producers. While no recipe to success is the same, the smaller players need to maximize production while simultaneously keeping costs down if they want to compete in the market. By adopting technology solutions that will make them agile and effective, these organizations can secure fast and significant ROI, while meeting production and operations demands. However, technology selection in a constantly changing landscape is murky at best. Take an operations manager at a small oil and gas company, for example. They are likely tasked with ensuring that operations are running smoothly at the wellhead while delivering critical data back to the business office in real time. It seems simple enough, but the operator is probably facing constant pressure to provide insights into their production sites and new solutions for operational efficiencies. At the same time, the IT team wants monitoring at the well pad 24/7/365, and they want to access that data whenever they please from anywhere. Perhaps, they have attempted to tack on several different technology solutions to help provide said data – but the new demands require a more sophisticated approach. The pressure is on to find a way to optimize data collection, monitoring and control of the assets in the field (including the communications network) or the company won’t be able to compete with the “always on” oil and gas producers. The good news is that there is hope. There are programmable wireless communication solutions for the well pad that are available today. With a little research, it is possible to find a rugged, easy to use solution that will deliver massive ROI. What Does Well Pad Automation Look Like? In modern oil and gas operations, well pad automation builds analytics and intelligence into the wellhead environment. This takes a step beyond traditional communications because it enables intelligent applications and programmability that establish an advanced operating environment. Automation can also present the opportunity for predictive analytics, remote command and control, new protocol translations, and modern cloud-based services at the wellhead. Automation helps an operator streamline their job and provides the IT decision makers with data that helps them understand daily operations. Automation technology makes this possible by powering data transmission, improving data quality and enabling intelligent data analysis. The oil and gas company then has the power to make informed decisions that drive higher production outputs, with ROI often achieved in a matter of months, along with substantially lower CAPEX. Bringing an Automated Monitoring System All Under One Roof The financial and business benefits of industrial automation are clear, however selecting technology solutions can be challenging. Operations managers need a wireless communication solution that can support next generation of well pad automation needs. The solution must include a combination of data monitoring, logic execution and data visualization. This is especially beneficial at the well pad sites that are remote and isolated. The big advantage today is that these decision makers are no longer limited to disparate technology solutions: Wi-Fi Automated Monitoring Systems establish Wi-Fi at the wellhead to enable voice, video, sensor data access and perimeter security. They can also leverage Wi-Fi for rapid maintenance across the wellhead, saving maintenance staff hours of time. Instead of driving to the remote wellhead, they are now troubleshooting issues from a truck or office. Wi-Fi also supports the collection of information from RFID devices and wearable devices designed to protect workers in the field. FHSS When the Wi-Fi is bridged with a Radio Frequency (RF) solution, particularly Frequency Hopping Spread Spectrum (FHSS) technology, the data can then be collected from tank farms, PLCs, and sensors on the well and within the well. The wireless intelligence that is located on the devices in the sensor network, enables local execution on the RF devices, which supports data storage or data collection and analysis. Through cloud-based services, the data can be published globally, allowing mobile access from virtually anywhere. Additionally, an automated monitoring system may enable wireless telemetry in hazardous environments through modular wireless I/O solutions that leverage sensors to monitor specific points along the wellhead. Programmability With built in programmability on top of Wi-Fi and RF technology, the automated monitoring system is not only optimizes today’s operations, but it prepares the organization for the future as industries shift towards digital technology and total connectivity. For example, an engineer can write a simple application using open source technologies like Node-RED and Python that will display a dashboard of real-time data from the well pad as it collects information from sensors. The organization could also automate tank-level monitoring by developing or leveraging a third-party application to monitor water levels in the remote tanks from the cloud – which would then be accessible anywhere with a wireless internet connection. Benefits that Stretch Beyond ROI Automation at the well pad not only leads to ROI through wireless automated monitoring and control, but it has the power to transform operations and streamline production. When a small-to-medium-sized oil and gas producer leverages automation, they can make highly intelligent decisions through the technology features that enable enhanced monitoring, logic execution and visualization. They can also leverage these solutions to create a more secure operating environment and communications network. These solutions note only benefit the operators today, but they prepare them for future technology needs.
IIoT News Round Up: 2018-Focused Headlines
As the year winds down, industry thought leaders and publications are beginning to release their top trends and predictions for IIoT in 2018. From what we’ve seen circulating around the top news sources, there looks to be a lot in store for Smart Cities and utilities in particular. Reports have shown time and again that IoT devices are being deployed and disrupting industries at an incredible rate. While this has brought a lot of new opportunities to the forefront of many industries – we’re all aware of the lurking giant that needs to be dealt with – security. Security has been a concern and topic of debate since the beginning of IIoT, but perhaps in 2018, we’ll see the challenge addressed in new ways. The good news is that we’re not shying away from the topic and we’ve encountered it as a common theme in recent headlines – especially in relation to Smart Cities. Here are a few top news stories that stood out to us: The Security Tipping Point An article recently featured in InfoSecurity Magazine (@InfosecurityMag) by @philmuncaster examines the ongoing security challenges when it comes to IIoT projects for Smart Cities. The article reveals that an international poll by the Wi-SUN Alliance found security as the biggest barrier around the world: “The global, standards-based non-profit polled IT leaders in the UK, US, Denmark and Sweden who are investing in these kinds of IoT projects. It found that although half have a fully implemented strategy already in place, 90% said they struggled to implement a plan and 36% said they found it ‘extremely difficult.’ “ An eWeek (@eWEEKNews) article by @editingwhiz, featuring predictions by leaders in IoT for 2018, echoes the same sentiments, but predicts that service providers might take the issue into their own hands: “Paul Martini, CEO and Co-Founder, iboss: Better IoT network security will come to the fore: ‘The industry will continue to be plagued by IoT botnets and malware. 2018 will be the year that enterprises and service providers finally realize that waiting for device manufacturers to improve hardware security is a losing proposition and take it upon themselves to secure their networks against compromised devices. An increasing number of enterprises will deploy network security solutions that are designed specifically to protect large numbers of connected devices.’” Additionally, a Sys-Con post recently published by @S_Allen_IIoT , also emphasized the importance of security in 2018 and offered insight into solutions: “However, even with a secure communication link, if the individual devices that are connected on the OT side become compromised and an intruder gains access to that communication link, they can push malicious data, cause denial of service (DoS), or introduce malware or viruses to the entire network, IT side included.” Allen recommends the following: “Companies need to prioritize security in their quest to create endpoints for all of their field assets. Some industries, like the smart grid, are already experiencing mandates that ensure a more cyber-secure network. With others, however, it is still up to the organization to make security a top priority. There are technology providers available that are security focused and will provide those extra layers of security to the OT network.” Investment Will Grow in Utilities The Future of things (@Future0fThings)article by @morakhiya2711 looked at IIoT investments and the industries in the near future, and it looks to be an exciting time for utilities, among with manufacturing and transportation. “In addition to the funding of start-ups, overall investment in IIoT technologies and services is growing rapidly with few signs of slowing down. Through 2020, the industries that are expected to invest the most in this area are manufacturing, transportation, and utilities. Last year alone, spending reached $178 billion, $78 billion in transportation and $69 billion in utilities, as these industrial sectors leveraged the deployment of intelligent, networked devices to operate smarter and offset risks.” As investments in IIoT go up, so do the security risks. Based on the buzz in leading IIoT publications, perhaps we will begin to see new efforts to create secure end-to-end IIoT networks, as companies battle both disruption and the need to protect data and assets in 2018.
FreeWave Blog Series: The Intelligent Edge (Part 4)
The Internet of Things (IoT) has changed the consumer world in ways no one ever imagined. By placing intelligence in the IoT network, the “Thing” can do whatever we want it to do. Now Industrial companies are seeking to take advantage of this edge-deployed intelligence in order to maximize profits, improve safety and streamline operations. In addition to the challenges IoT technology had to overcome – such as cybersecurity, scalability and interoperability – Industrial IoT (IIoT) must also focus on reliability, ruggedness and more. FreeWave is uniquely positioned to understand and address all of these challenges. We have delivered world class IIoT platforms for almost 25 years to thousands of industrial and unmanned systems customers. With that experience, we’re now leading the charge to deploy intelligent applications at the edge of industrial networks and unmanned systems. In the fourth installment of “The Intelligent Edge,” we spoke with Helen Xi, a senior firmware engineer at FreeWave who specializes in high-speed wireless LAN performance, to talk about the use of broadband in the IIoT, as well as FreeWave’s industrial Wi-Fi platform, the WavePro. Read parts one, two and three. FreeWave: Can you talk a little bit about the WavePro platform and where it fits into what you work on at FreeWave? Helen Xi: In our company, the radios mostly operate in the narrowband frequencies, however WavePro is a broadband Wi-Fi system. It’s important for us to have this Wi-Fi system because nowadays there are so many Wi-Fi clients. It’s on every mobile phone, in every laptop, in every household. It’s everywhere. You can’t avoid it. When we have this Wi-Fi product, we can provide a whole communication system to customers. It’s easier for us to integrate them together to make sure they work from our Wi-Fi system to our narrowband radios. Our WavePro product has many features. If you compare it with the industry competitors, they have multiple products and models that meet customers’ specific needs. If you want to provide a long-distance point-to-point link and you buy this model, and you want their system to provide Wi-Fi local coverage, then you must buy another model. WavePro integrates all these features together in a single product, and we can do long-distance point-to-point link, local Wi-Fi coverage and mesh. It can have different clients while providing a backhaul communications in a remote area. FreeWave: Walking back a little bit on some of what you just talked about, one of the things that we’ve been discussing is the transition from traditional RF technology into technology that requires higher bandwidth to transmit bigger data packets in real time and run analytics at the Edge. With WavePro, what I’m wondering is when you talk to clients, what is their number-one priority with this technology? Are they trying to update existing systems or are they wanting to implement entirely new systems? And how important is the broadband aspect? Helen Xi: I think both. Let’s say they want to upgrade an older system. Let me give you an example: nowadays because there are so many Wi-Fi clients, Wi-Fi chips are so well-known, and more sensors have Wi-Fi client chips inside them. If we put our WavePro in the field, it can work as an access point (AP) to talk to these sensors. By the way, our product is an outdoor unit. It’s waterproof IP67. IP67 means you can immerse it underneath water. It has the same industrial-temperature range as our other narrowband radios. It goes from minus-40 up to 70 Celsius. It also has surge protectors from lightening. So, you can safely put it outdoors. If you buy a home Wi-Fi router, say from Netgear, you probably do not want to put it outside. FreeWave: And why is that element important? Helen Xi: Because a lot of our customers use it outdoors. For example, in North Dakota, it’s very cold. It can be minus-20 Celsius. I think you can imagine what happens to your iPhone during winter when you go skiing – it goes dead. Our radios don’t do that. You put it outdoors, on the oil-gas fields where it goes from winter to summer – as cold as North Dakota, as hot as Texas in the deserts – and it’s working well. That’s why the temperature requirement is important. FreeWave: When you’re talking about application examples, where else are you seeing this technology deployed? Helen Xi: It can be used in many areas of the Industrial IoT. For example, we have a utility company that uses WavePros to control large quantities of air conditioners on the roof of two apartment buildings. Each air conditioner has a 2.4GHz Wi-Fi chip in it. They all connect to WavePros on 2.4GHz. One WavePro (we call it “master”) is connected to the utility company’s network. The other three WavePros (we call “slave”) connect to the master WavePro on 5GHz. When the utility company needs to send command to air conditions, it first goes to the master WavePro; the master WavePro passes on its 5GHz to the other slave WavePros; then, the slave WavePros transmit on 2.4GHz to each air conditioner. FreeWave: What do you envision being the trend of the future with regard to Industrial IoT communications? Is it all headed toward broadband? Or do you think that there will still be a balance between that and cellular and RF? Helen Xi: This is a very good question. I believe it will be a combination. I want to elaborate why I think narrowband is still very important where people seem to only be talking about gigabits. Wireless as a resource is very valuable – every Hz (hertz) is valuable. When you are using a frequency band at this location at this instant, other people cannot use it. You are noise to other people. Plus, not every Hz is free to use. In IoT, we’re mostely using unlicensed band that you don’t need to pay a fee to the FCC to use as long as you follow rules. There are only
IoT News Roundup: Where is IoT headed?
The holiday season is fast-approaching and it seems there’s always a never-ending list of tasks that need to be completed every year. Just like the holiday checklist, tech in the IoT space seems to be ever-changing and expanding. As tech leaders and innovators we understand that life is hectic and unpredictable, but to make sure you don’t miss a beat, check out this week’s line-up for news in the IoT industry. Previously, we explored “How IoT is Saving Lives” when two massive natural disasters struck the U.S. In this post, we’ll ask the question, what’s next for the world of IoT/IIoT? Take a look at some of the top stories from the past couple of weeks: Forrester predicts what’s next for IoT In this recent post from @NetworkWorld about Forrester Research’s predictions post, Fredric Paul, @TheFreditor, asks the question on many people’s minds: Where is IoT headed? Among many points Paul makes in his article, one points out how IoT is likely to become more specialized in the coming year, moving away from generic hardware and software into platforms designed for specific industries. So-called “design and operate scenarios” will let IoT developers focus on the attributes that matter most to their own industries and use cases. Smart networks must evolve for mission-critical environments From @embedded_comp, Michael Ulch explains how the IoT industry has been flooded with advances in smart home automation, self-monitoring appliances, and connected security systems. All of these facets are important for the IoT existence but Ulch asks the same question as other reporters: what is next for IoT? Ulch believes that some of the greatest potential of the IoT is in the industrial and manufacturing realm, where Industrial IoT (IIoT) has the promise to monitor systems for preventative maintenance and boost energy efficiency and workplace productivity. However, Ulch says, successfully scaling from the smart home to the smart factory will require overcoming a number of technical challenges. How manufacturers are benefitting from the IoT revolution In this @NetworkWorld article by Majid Ahmed, it’s made clear that few people stand to benefit more from the IoT revolution than today’s manufacturers. Ahmed states in his article that whether it’s harnessing the power of data and metadata to make wiser decisions, or developing new and more efficient technologies capable of saving energy cost, the IoT is fundamentally reshaping how manufacturers produce the goods we use in our everyday lives. Businesses not aware of IoT issues This article from @techradar by @maxcooter briefly starts off by referencing an article from January, 10 surprising trends in the IoT for 2017, then Cooter continues, stating that Cradlepoint survey finds lots of interest in technology deployment but lack of security awareness. Cooter points out that, from these findings, IoT-using companies should be prepared to have a thorough overhaul of its infrastructure before deploying the technology. Despite the serious concerns about security, most are not having a second thought about rolling out IoT. Will this security breach take down most companies? Time will tell. The Industrial Internet of Things is Here to Stay In this article from @cbronline (Computer Business Review), author David Stain discusses how manufacturers are welcoming in a new era of productivity by enhancing Industry 4.0. The IIoT is at the heart of this transformation. Stain explores how a company’s success is often linked to its efficiency, hence visibility, across the plant floor, and how extending into the supply chain is a necessity. To keep pace with this competitive environment and the ever-increasing customer demands, every stage of the manufacturing process is facing the digital revolution. Final Thoughts: Virtually all industries and workers are benefitting from the technological revolution brought about by the inception and ensuring growth of IoT. Every industry does need to be cautious of the security threats that IoT comes with. Knowing this, we will still continue to see the growth for IoT especially in the manufacturing and Industrial industries. Be sure to stay tuned to our blog for the latest industry news and to read more about our own insights into some of these major trends.
Four Ways to Optimize Your Operations for IIoT
The phrase, “the future is here,” is overused and has evolved into a catchphrase for companies struggling to position themselves in times of technological or digital transformations. Still, the sentiment is understood, especially in times like today, where the Internet of Things is quite literally changing the way we think about hardware and software. We’d like to offer an addendum to the phrase: “The future is here more quickly than we thought it would be.” Digital transformation, increased computing ability, smart hardware and the growth of connectivity capabilities created a perfect storm of accelerated industry, and many were left scrambling to sift through the large amounts of information and solutions available. With that in mind, we wanted to provide some advice for companies across the industrial sector for the best ways to optimize operations for the Industrial IoT. 1) Upgrade your network and throughput capabilities. Nothing can kill the ROI of automated processes more quickly than the literal inability to function. It’s important to understand that as you upgrade machinery and invest in the software to run it all, those systems demand greater bandwidth in order to effectively utilize the big data and analytics capabilities. Several options exist, but for most companies some combination of industrial-strength broadband (WiFi), narrow-band, cellular and RF communications will create the most effective network for the needs. 2) Invest in smart hardware. This may seem like a no-brainer, and really, in the not-too-distant future, you may not even have a choice, but the shift toward Fog Computing is gaining momentum and being able to run decentralized computing between hardware and the Cloud can not only create greater operational efficiency, but it can also allow your data transmission to run more smoothly as well. The beauty of a Fog Computing system is that it allows a greater number of devices to transmit smaller data packets, which frees up bandwidth and speeds real-time data analytics. The core of this lies in the smart hardware. 3) Be proactive about application development. Smart hardware means that it has the ability to host applications designed specifically for your needs. Previously, many companies shied away from app development because it required highly skilled developers and devices capable of hosting those apps – a combination that wasn’t readily available. Today, the scene has changed. With the rise of Node-RED, it is much easier today to create proprietary applications without a computer engineering degree, and any company serious about leveraging IIoT technology needs to be able to to use the full scope of its data. 4) Secure your communications. There isn’t much more to be said about the importance of cybersecurity. If the last few years of massive data breaches haven’t rung alarm bells, then you aren’t paying attention. Cybersecurity today is a multi-layered need. Most companies building smart hardware are beginning to build encryption directly into the devices. But, since many companies use Cloud applications for computing and analytics, it is important to invest in strong security measures at that level as well. Unfortunately, the sophistication of cyber-attacks are only going to increase, along with the increase in importance of the data needing to be protected. It pays to be paranoid and act accordingly.
FreeWave Blog Series: The Intelligent Edge
Part 1: Novice App Dev – A Q&A with Greg Corey from FreeWave The Internet of Things (IoT) has changed the consumer world in ways no one ever imagined. By placing intelligence in the IoT network, the “Thing” can do whatever we want it to do. Now Industrial companies are seeking to take advantage of this edge-deployed intelligence in order to maximize profits, improve safety and streamline operations. In addition to the challenges IoT technology had to overcome such as cybersecurity, scalability and interoperability, Industrial IoT (IIoT) must also focus on reliability, ruggedness and more. FreeWave is uniquely positioned to understand and address all of these challenges. We have delivered world class IIoT platforms for almost 25 years to thousands of industrial and unmanned systems customers. With that experience, we’re now leading the charge to deploy intelligent applications at the edge of industrial networks and unmanned systems. In the second installment of “The Intelligent Edge,” we sat down with Greg Corey, FreeWave systems engineer, to talk about his new app – ZumDash – and the future of app development of the Internet of Things. FreeWave: Can you talk about how you got involved in IoT app development and what that means from an Industrial IoT perspective? Greg: I got involved with IoT app development when we [FreeWave] started the ZumIQ project. IoT app development revolves around developing software to interconnect devices, and there’s a huge need for that in the industrial space known as the IIoT. So, I started working with some graphical JavaScript-based environments like Node-RED, and I realized that this quickly allowed me to solve problems that were facing our customers. FreeWave: Are Node-RED and JavaScript the primary languages being used right now to develop those apps? Greg: Yes, mostly you’ll see a lot of Python stuff, a lot of Java, and hence JavaScript, and then you’ll see some stuff written in C as well, but, really, the web-based languages have taken off. People write apps in Java and PHP for the most part. And then Node-RED is a graphical frontend for JavaScript. FreeWave: Can you talk a little bit about the app that you developed for FreeWave – ZumDash – and where it resides within an IIoT network? Greg: So, FreeWave has traditionally made radio products where you just put data in and out of the system and that’s all it does. It’s just a complicated replacement for a physical cable. With the new ZumIQ platform, it allows us to add a lot of intelligence at the Edge of these networks where a radio is functioning much more than just a radio. It’s actually an application development environment. It’s an application platform. So, the app that I developed, I wanted to showcase the radio’s capabilities at the Edge of the network, and specifically, there’s a few other things I wanted to show. I wanted to show data storage: so, actually, it’s recording data on the radio itself. I wanted to show the display of that data in a dashboard format. I wanted to show communication, so the radio can still act as a radio and then you can have email alerts and other alerts based on data points. And then I wanted to show logic as well: If This Then That. So, to be able to read a sensor value and if it’s within a certain range to then take action on it. So, the app that I built was really meant to showcase those four things: data storage, dashboard, communication, and logic. FreeWave: So, for the storage part, how often are people trying to actually store data on those Edge devices as opposed to having them just be conduits for the data transmission? Is that a different way of approaching it? Greg: Yeah, it’s a different way of approaching it, and what it allows you to do is free up network capacity. So, if you’re continuously sending and receiving data from the field to a central source, you’re using throughput and bandwidth on that network. With some of these Edge networks, it could be in something that’s moving on the ground and there’s not a very high antenna height; it could be a really noisy environment; there could be a lot of metal obstructions in the way. Sometimes, in the industrial realm, the networks aren’t as rock solid as you would want them to be, or there’s limited capacity for connectivity. So, by moving some data storage operation to the Edge, we can then free up our network capacity for other resources. FreeWave: So then from there are you able to run analytics on that Edge device to filter out some of the data that you don’t need? Greg: Yeah. Iin ZumDash there’s a frontend on it that I use. Using the frontend, you can remotely log into the radio, you can examine every piece of data the radio has recorded, and you can do that graphically. Then, you can build charts based upon that data, and then you can also export to Excel. So, all the data that resides on the radio in the MySQL database is available for analytics remotely, on demand. FreeWave: Does this have a dual track function where you can store data and look at it later, but you can also get the data in real-time if you need it? Greg: Yes, and also, how often the app records data to the database is configurable. You can look at configured intervals. The quickest time I can do at the moment is five seconds. So, every five seconds it’ll record data from six different sensors. FreeWave: Why was the dashboard display an important part of this app? Greg: It allows easy access to data. Let’s say there’s a problem and you want check on the status of a device. I don’t want to have to look through logs or something like that. I want that data easily displayable. So, adding the dashboard allows anybody to be able to log in and
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?
