IT/OT Convergence – The Impact from the Industrial Internet of Things
Without question, the number of connected sensors and devices on your IIoT network are going to increase, and also without question, the volume of data created by these devices on your IIoT network are going to increase as well. Both increases are intended to improve operational efficiency and streamline business processes. As a result, your Information Technology (IT) and Operational Technology (OT) departments will likely need to adopt new strategies. An increasingly popular strategy is IT/OT convergence. The Bandwidth Burden For many industries, SCADA and M2M networks have historically used serial communications for operational networks. This has changed and is changing for many. As networks transition from serial to Ethernet communications, data is now freed for routing to any business system. There is a new twist for SCADA, M2M and now IIoT networks that have limited bandwidth capabilities. With more business systems needing critical data to improve business process, utilization of bandwidth on networks with already-limited bandwidth is also increasing based on the traditional Poll/Response or Request/Response model. To reduce the bandwidth burden, systems are now transitioning from Poll/Response operation to a Publish/Subscribe model. There are several benefits to the Publish/Subscribe model. Sensors or devices in bandwidth limited networks can publish data when events change or select criteria are met. This reduces the demand for network bandwidth in two ways; 1) there is no prerequisite Poll message, and 2) devices publish when needed. Publish data is routed to a Broker or Publish/Subscribe server that operates on networks where network bandwidth is not a limitation so any number of subscribers can subscribe needed data without burdening the IIoT network. While the Publish/Subscribe model is a significant improvement to IIoT network efficiency, it is not a panacea for all operational information. Network monitoring systems, e.g. SNMP based systems, will still need to poll devices to gather operational, performance and prescriptive data; essential for proactively maintaining an efficient and operational IIoT network. Secure Devices to Support Convergence Newer sensors and devices are also being designed with security in mind because no legitimate manufacturer wants their IIoT device to be part of a DDoS attack, as we saw in 2016 with the Mirai DDoS attack. While IIoT device security services and features are rapidly improving, it is still incumbent on OT and IT organizations to: Train personnel on network security because the human element can still be the weakest part of any network, e.g. phishing emails, Deploy networks with Defense in Depth so there are numerous barriers to obstruct and deter entry with timely audit trails to identify entry, and Perform periodic Risk Assessments and implement action plans. SCADA, M2M and IIoT networks are operating more as IT networks thanks to the close work between OT and IT groups and their convergence. Want to learn more on this topic? Join my presentation at the ENTELEC conference on Thursday, April, 27, 2017 at 2 p.m.
2017 IIoT Prediction Series, Part 5: Major Public Utility Company Closes Doors
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. Today, we wrap up the 2017 series – let us know what you think! On Tuesday, we started our predictions by looking at the potential development of Fog Computing at the Edge and its impact on cybersecurity. Wednesday, we predicted that the rise of IIoT applications will outpace consumer IoT apps. Thursday, we wrote about the challenge facing IIoT businesses as the workforce ages and new skills are needed for the ongoing IT/OT Convergence factor. On Friday, we predicted that the growth of smart cities infrastructure would force a connectivity standard for the IIoT industry. A Public Utility Closure in 2017 The maturation of interoperability standards and evolution of remote data collection technologies are forcing critical infrastructure and utility organizations to adapt at a new pace, in light of aging infrastructure and high percentages of the workforce that are nearing retirement. Existing management continues to struggle to match the IT and operations resources needed to build a comprehensive, integrated portfolio of applications that must work together to support the organization’s goals. The prediction A public utility company will close its doors in 2017 due to challenges surrounding the adoption and implementation of modern IoT technologies. There are numerous forces that support the prediction. Here’s our take on the big ones: Are you Taking Advantage of Fog Computing at the Edge? According to analysts, utility organizations are becoming more comfortable hosting critical infrastructure data and applications in the Cloud. But, in an effort to further optimize processes and shorten response times, utilities need to explore ways to host applications at the device/sensor level (i.e., the Edge otherwise known as Fog Computing). A decentralized network architecture that brings computing power closer to where data is generated and acted upon enables utilities to analyze, control and automate closer to the “Things” in the Industrial Internet of Things. In electric power, for example, where even milliseconds are vital, certain processes can move away from the Cloud and closer to the Edge. In an industry where cloud computing presents its own sets of challenges, can utilities go one step farther to look at new ways to optimize the “things” at the edge? IT-OT Convergence Presents Plenty of Challenges With identifiable business benefits and rapidly developing technologies that are closing the IT/OT divide, there are functional and operational differences between IT and OT groups that exist and complicate integration or convergence. IT and OT groups typically have fundamentally different charters, focus and personnel within their respective organizations. The challenges to IT/OT convergence are not the sensors, hardware, software or technology, but how each group perceives each project or opportunity and in turn, the solutions, which are skewed by their respective domains. In order for IT/OT convergence to be successful, communication is essential and in turn, there needs to be a clear understanding of each group’s roles – something we see utility organizations struggle with mightily, especially as an aging workforce butts heads with the next generation of digital-centric employees. However, the careful selection of technology for IIoT or industrial applications can help drive the convergence of IT/OT systems. For example, in electric utilities, the rollout of Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) networks is truly an OT application. The source of the data will fuel IT/OT convergence because it is the data analytics applications such as outage detection, fault management, prepay and others that bring value to the Smart Grid. If utilities can proactively take a systems level view of its infrastructure and integrate legacy systems with modern IT systems, the convergence of IT/OT groups may prove less strenuous. Cyber-threats to the Utility Utilities are at the forefront of the Industrial IoT with complex and comprehensive networks for advanced metering infrastructure, energy management, distribution management and substation automation. The estimated growth in IIoT applications for utilities and energy industries will increase to more than 1.5 billion devices by 2020. This explosive growth in networks, smart sensors and devices, and automated systems requires utilities to address, implement and monitor the security of their data networks because these are the networks providing command and control of critical infrastructure that is the Smart Gird. As technology has evolved, so has the intelligence and sophistication of cyber terrorists and their tactics. If utilities do not build a comprehensive security layer, especially across its internet-connected systems, there is little faith they’d be able to combat against such tactics as Denial of Service and Intrusion – the two top threats according to the Federal Communications Commission (FCC). If utilities don’t invest in hardened/proven networking and communications equipment, network access control programs, data encryption strategies, advanced monitoring technology and explore various other tactics for limiting exposure to harmful cybersecurity threats, they may be forced out of business anyways. Today, it is not a matter of “if” a cyber-attack is going to take place, but when. We hope you are ready. All in All We hope this prediction is one that doesn’t come to light in 2017, especially with all the direct investments being made in our critical infrastructure projects across the nation. However, a competitive organization is both agile and proactive in meeting market demands – something utilities need to learn from as business continues. That does it for our list of 2017 IIoT predictions – hope you enjoyed and please be sure to send your questions and comments below!
IIoT Top News: What the Industry Experts Say
Living in a 24-7 news cycle, it is best to take a break from all your favorite news outlets and go back to the basics. Industry analysts today are charged with giving their audience an unbiased report of their findings, that’s why this week’s top IIoT news is dedicated to seeking out some of the industry expert opinions in this ever-changing digital world. Let’s start by looking at Ovum’s 2015 key theme for the oil & gas industry. According to Ovum, more modernization of IT platforms will continue to help reduce the disconnect from the IT stone-age equipment to the modern real-time IIoT, thus allowing companies to improve their overall decision making process. A closer look at Forrester, we find security topping the list for 2016. In a recent report, Forrester is quick to call out the shortsighted firms for not realizing the importance of implementing proper security measures to protect the collection of data. It is recommended that firms stop focusing on the lowest possible cost to secure data, and turn the focus into the best way to keep and maintain quality information safely. On another digital front, Gartner predicts that by 2016 6.4 billion IoT devices will be in use, and only sees that number soaring with an estimated 20.8 billion things connected by 2020. Overall, we heard about the need to bring ethics to data, and predictions of how data will be turned into insight and action in the coming year. Other reports included the top digital trends and how those trends fit into the new digital mesh landscape. Additionally, we learned about revolutionary IIoT operational ideas for the future and a big data forecast for 2016 and beyond. Hope you enjoy this week’s research related reading! Bringing ethics to data, a board-level agenda item (OVUM) The challenge facing companies today is, what practices should be put in place to handle the large scale, data being collected. Tom Pringle reiterates the assertive stance Ovum has taken when it comes to the ethics of big data, “If data holds the potential to benefit many, it also has the potential to harm many (as an unexpected outcome, or purposefully negative).” Forrester’s 2016 Predictions: Turn Data into Insight and Action In the 2016 Forrester predictions, Brian Hopkins, Enterprise Architecture Professional has broken the it up with three major shifts, that will help turn data into insight and action. Hopkins is quoted as saying, “Machine learning will replace manual data wrangling and data governance dirty work.” Top Ten Digital Trends Signal the Digital Mesh (Gartner) David Clearley, vice president and Gartner fellow details the top digital trends and how those trends fit into the new digital mesh landscape. The fifth trend on Gartner’s list is advanced machine learning, Clearley believes that, “Advanced machine learning is what makes smart machines appear “intelligent” by enabling them to both understand concepts in the environment, and also to learn.” This area is quickly evolving, now is the time to figure out what technologies your company needs so you can have the competitive advantage. Convergence in the Plant Asset Management (PAM) Market (Frost & Sullivan) In this detailed plan from Frost & Sullivan, they see IoT driving the next generation of improvements with predictive analytics. Furthermore, in the plant asset management (PAM) market Frost & Sullivan sees the, “Industry initiatives, including Industry 4.0, Smart Manufacturing, and applications of Internet of Industrial Things (IoT) technologies are revolutionizing operations and maintenance, enabling the cost-effective connectivity of a wide variety of asset classes.” New IDC Forecast Sees Worldwide Big Data Technology and Services Market Growing to $48.6 Billion in 2019 A new report from IDC forecasts the enormous expansion of both big data worldwide and the services market by 2019. IDC predicts that, “The Big Data market continues to exhibit strong momentum as businesses accelerate their transformation into data-driven companies.”
IoT Emerge Recap
IoT Emerge bounced on the scenes of Chicago this week. Yes, aside from the long awaited World Series win, an IoT conference was happening in this windy, action-packed town. The conference boasted two days of keynotes, technical sessions, workshops, live demonstrations, hands-on training and plenty of opportunities for networking with industry peers. The IoT Emerge mission is to continue to educate and promote cross-industry functions with a focus in Industrial IoT, smart cities and IoT engineering. Below, we’ve highlighted the best moments from the week. IoT Emerge: What have we learned? Back in 2011, research firm Gartner said the Worlds of IT and Operational Technology Are Converging. We believe IT/OT convergence is a critical concept: it promotes a single view of an enterprise’s information and employs process management tools to help ensure that every person, machine, sensor, switch, device, etc. in an organization has accurate information in the best format and at the right time. We learned optimizing the business process is vitally important. Decisions will be made in real time with higher levels of confidence because more information will be available regarding the event or condition. For example, load shed or curtailment events will be based on energy availability (IT sources) and demand throughout the distribution network (OT sources). Event management in an IT/OT converged networkwill execute as a closed loop process by targeting a feeder or substation, issuing curtailment signals to customers under that substation or feeder. This gauges real-time response and repeats as required to achieve the target reduction time. What other insights did we gain from IoT Emerge? Myths about IoT Engineering: The Industrial Internet of Things (IIoT) is not ready to support predictive analytics With commentary from Eddie Garcia @freewavetech | Published on @ElectronicDesgn “When most people think about the IIoT, they think of machine-to-machine communications (mostly supported by RF technology) that have dominated the industrial sector for years. However, the convergence of IT and OT practices have seen intelligence moved closer to the access layer than ever before. New communication platforms have improved to the point where big data transport can come directly from the sensors at the edge (OT) all the way to the servers in the back office (IT). The industrial sector is closer than it’s ever been to supporting the future of data collection, transport, and aggregation, ultimately resulting in the huge data sets necessary to support predictive analytics at the IT/OT level.” IoT Emerge and Up-Close and Personal IoT Experience By @JKerns10 | Published on @MachineDesign “As IoT applications and case studies start piling up, some companies still wonder where the Industrial Internet of Things (IIoT) fits in their production lines. There’s lots of information on the internet about the IIoT, such as how IIoT worked in one application or how much a company could save by using a specific IIoT product. While examples and case studies offer ideas on how IIoT might fit your production line, having a chance to talk to experts directly about your applications and concerns can help ease concerns.” IoT Emerge: Looking ahead to the future By @IoTEmerge | Published on @cote_se IoT Emerge a chance to shed light on the possible digital future. Smart cities and Industrial IoT top the watch list. Along with the conference buzz, conference organizer Penton Publishing also launched the IoT Institute aimed at educating the growing IoT world. Color your IoT World By @IoTEmerge Coloring is not just for the kiddos. IoT Emerge worked with local Chicago artist Rawfa to create a wall sized coloring book. Conference goers got to take a break from the IoT information overload and color to their harts content. Industry thought leaders did an excellent job representing the broad range of emerging IoT applications this year, and as we move steadily toward the close of 2016, it’s clear that we can expect some exciting and innovative technology applications in the not-too-distant future.
All Aboard the IoT Railway
In many parts of the world, rail represents a major component of infrastructure – for the transportation of both humans and goods. In fact, railways are critical to some of the major industries like oil and gas, agriculture, and food refrigeration/transport. Much like those industries have, over the years, adopted automated, machine-to-machine (M2M) technology, railroads have similarly deployed more advanced technology over the years as well. Railways began the “automation” process by adding Automatic Equipment Identification (AEI) tags back as early as 1989. These sensors track the specific item tagged, but they have no way of knowing how the train is operating as a whole. Companies also began deploying RFID tags to track goods being transported along the different lines. The AEI sensors could provide information on the rail car and would interact with the various readers along the route. The additional sensors were great for location awareness, but still lacked the ability to monitor all the moving parts on the train. Still, with these two initial steps, the early stages of Internet of Things (IoT) technology began to come into focus for the railroad industry. IoT Railway Solution The rail industry needed a way to develop a more intelligent infrastructure that enabled Sensor-2-Server (S2S) data transmission via a network of Wi-Fi and voice, video, data and sensor control systems. Due to the massive amount of data collection a system like this would develop, railways are now developing a fully digital service that is directed toward centralized facilities capable of aggregating data from different sources and streams and analyzing that data in real-time. For instance, today, railroad sensors monitor everything from rail car and locomotive health, to track conditions, air temperatures, stress gauges and component conditions. Having a centralized system allows operators to take that data being collected and use it to develop predictive maintenance practices; that is, the ability to predict when a section of rail or a specific component is in need of repair or near failure. Predictive maintenance is only one component of IoT integration for the rail industry, but it is one that can potentially transform practices across the board, ultimately saving companies time and money – valuable elements for an industry centered on logistics. Across the pond, the University of Huddersfield’s Institute of Railway Research has found that tracks can be monitored with inexpensive sensors set to operate by the vibrations of oncoming trains. According to the research, the sensors will still operate if one of the sensors is damaged, because of a built-in fail-safe. These sensors are projected to detect both approaching trains and the real-time conditions of the track. Adding an IoT network to trains can help improve safety and efficiency with traffic congestion, monitoring and control speed. Even the non-critical business operations have the ability to operate efficiently on the train with the help of modern sensors. Beyond rail sensor networks, there is also the consideration of the passengers as well. If railroads can implement Wi-Fi networks on passenger cars, passengers will be able to receive travel updates, railroad companies can develop specific apps for their travelers, and riders can enjoy the utility of internet in areas that previously lacked service. Although rail remains largely an industrial consideration in the United States, the growth of IoT technology available to the greater industry bodes well for the continued development of this infrastructure around the world.
The Next 30 Years of IT
At Interop Las Vegas back in May, InformationWeek Executive Editor Curtis Franklin sat down with Senior Editor Sara Peters about how IoT is changing everything we know in IT, especially in the industrial enterprise. From predictive analytics, to security, to ROI, see why Franklin and Peters view the next 30 years of IT starts with IoT. Here are some key trends and considerations worth noting: We’re starting to see a clear division between the consumer and industrial markets as far as the evolution of IoT. The Industrial IoT (IIoT) space looks to be growing, developing and maturing at a faster rate than the consumer IoT space. The concept of predictive maintenance and advanced analytics is where a lot of innovation and excitement is happening for a few reasons: The end-to-end enterprise IT toolchain is now being viewed holistically, looking at how data and information travels from the sensors at the edge of the network, through the different networking and communication modalities and all the way back to the big data analytics engines at the core network (further reading: Sensor-2-Server). As a result of the new intelligence and operational efficiencies that are being realized, companies are seeing hard dollar returns which provide the capital to make new investments in these emerging technologies Security is a legitimate concern and while the pace of innovation might be slowing the adoption or rollout of new IoT technologies, vendors and service providers recognize the importance of the security paradigm and are building encryption and authentication into their systems. Interoperability of networks – are they being taken for granted? Perhaps there is even more on the horizon as far as how different technologies and networks integrate. The progression of new RF standards has been slower than most expected; will it pickup from here? The answer is most definitely and through ubiquitous networking and other advancements with RF and digital engineering, we will see innovations in the application layer of networks over the next five years that we can only dream about today.
IIoT Top News: Machine Learning
Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let’s start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as “something used for automated data transmission and measurement between mechanical or electronic devices.” Now, that we have defined M2M, its time to check out our top news round up for the week on how M2M applies to both manufacturing and IoT. 10 ways machine learning is revolutionizing manufacturing Machine learning is poised to improve manufacturing by streamlining the process of OT and IT, thus increasing efficiency and lowering overall operation costs. Louis Columbus at Forbes believes that “Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.” IoT will recharge Machine Manufacturers Manufacturing can look to software companies as an example of how IoT can implement creating a smarter M2M network. Timothy Chou with CFO.com writes, “Today, manufacturers of machines — whether seed drills, chillers, or CT scanners — can leverage the path paved by the software product companies through three new business models: service and support; assisted services and machine-as-a-service.” Climbing the IoT Mountain–by adding M2M to manufacturing Manufacturing is only at the beginning of its ascent into IoT and M2M, so there are many more bumps and obstacles a long the way for the industry to fully integrate. Ronnie Garrett with Supply & Demand Chain Executive describes IoT and M2M manufacturing implementation as, “Standing at the foot of Mount Everest, ready to climb the world’s tallest mountain. You know you want to get to the top but you aren’t really sure how you will get there or what obstacles you’ll encounter along the way.” Cybersecurity is manufacturing’s biggest risk factor Manufacturing needs to continue to add M2M automation and big data analytics to the shop floor, but a threat to the overall industry is manifesting itself in the cybersecurity world. Ian Wright with Engineering.com informs writes, “A new report from BDO indicates that 92 percent of manufacturers cited cybersecurity concerns in their SEC disclosures this year. According to BDO, this represents a 44 percent increase compared to the first Manufacturing Risk Factor report in 2013.” As we wrap up our top news for the week, we realize the need to fully implement advanced machine learning across the manufacturing world will take more than a simple flick of the wrist. With that said, we leave you with a cautionary tale of when automation goes wrong. It was recently discovered an airport in India had an sign translated with automation software which read, “eating carpet strictly prohibited” — of course this was not the translation they had meant to display. Regardless, as we move towards a fully integrated M2M world, we will have to adjust our equations depending our our intended outcome, much like the world is finding with the love/hate of language automation. Hope you have enjoyed this week’s top news, as always tell us your thoughts on M2M and how it might impact your world!
IIoT Top News: UAS Cleared for Takeoff
UAS, drones or unmanned aircraft, no matter what you call them — this was their week. Our news stream was flooded with updates on the newly announced rules and regulations for commercial UAS from the FAA. So, naturally we have dedicated this week’s top news round up to highlight some of our favorite UAS stories. Here is a quick recap on the new FAA rules for UAS USA TODAY has broken out the top five things you should know about the new FAA drone rules. Take a minute and get caught up on the basics. For example, the UAS operator must have their drone in sight at all times while in the air, and you still can’t fly at night. https://youtu.be/G6NAFIRZLBw Summary of New Commercial Drones Rules The wait is over, as many commercial UAS operators found out this week. John Goglia, with Forbes, breaks out the FAA new Part 107 rules which states, “It will eliminate many of the most cumbersome and expensive requirements currently imposed on commercial drone operators including the requirement for a so-called 333 exemption, a manned aircraft pilot’s license, a visual observer, the requirement to hold a certificate of authorization and the requirement to issue a notice to airmen before each flight.” FAA Approves the use of Small Commercial Drones Michael Walton, with Government Technology, explains, “The FAA new UAS rules would effectively lift the lid on flights by other potential operators who have held off using the technology — real estate agents who want bird’s-eye videos of properties, ranchers who want to count cattle and a multitude of other businesses.” At Long Last, New FAA Rules for Drones Air&Space Magazine tells us the best part of the new UAS rules is that “The FAA dropped its initial recommendation that would have required commercial UAV operators to hold a pilot’s license, a stipulation that experts feared would have stifled the booming drone industry, which is estimated to generate more than $82 billion and 100,000 jobs over the next decade. We hope you have enjoyed this quick UAS roundup. Don’t worry, we aren’t heading into a Sci-fi movie yet; Amazon, Walmart and alike will still have to wait in the holding pattern for approval to utilize drones for domestic delivery purposes. Overall, though, it was a game-changing week for small commercial UAS user everywhere, and a small step in the right direction for drones to assist with all our future needs.
Fog Computing: Answering the IoT Challenge
Fog Computing is being touted as the data communication solution our Internet of Things (IoT) devices are asking for by bringing the power of cloud computing closer to the end user. The fact is, the number of connected devices is going to continue to grow exponentionally. In fact, Gartner predicts that by 2020 IoT will include 26 billion connected things. Consider the impact that amount of data collected and processed will have. The Challenge Naturally, with billions of devices all connected to the cloud for manufacturing, oil and gas, utilities, municipalities and enterprise, to name a few, the data transmission and processing rate is bound to slow down – especially if the current cloud architecture is upheld. Some IoT devices use the cloud to store data long term, where other connected things send data to the cloud to be analyzed and sent back to the devicewith operational instructions. Ahmed Banafa with SemiWiki explains, “As dependence on our newly connected devices increases along with the benefits and uses of a maturing technology, the reliability of the gateways that make the IoT a functional reality must increase and make up-time a near guarantee.” What is Fog Computing? Fog Computing is a term coined by Cisco, that offers a way to analyze the data closer to the IoT device, thus saving valuable milliseconds. It may be hard to believe, but a millisecond has the power to prevent a M2M line shut-down, increase the speed at which power is restored to utilities and prevent an oil rig from leaking, just to name a few. An easy way to visually understand where Fog Computing fits in our IoT world, is by looking at the diagram above. It clearly shows that Fog Computing hangs between the cloud and the device, much like the fog on an early San Francisco morning. Fog Computing operates at the network edge, extending the cloud capabilities closer to the source (IoT device). Each IoT connection works with what’s called Fog Nodes to digest the intelligent data and then coordinate operational next steps, whether that be acting directly and or transmitting results to the cloud. The diagram below covers the types of response times IoT devices face from both Fog Nodes and main cloud locations. Fog Computing Brings Efficiency to Enterprise A recent report by Machina Research highlights the companies that pioneered Fog Computing and those poised to capitalize on the benefits in their near future. These companies are able to collect, protect, transport and control the data via IoT devices at the edge of the network, saving time and creating a more stream-line approach to sending and receiving data efficiently and more securely. Overall, as our need to connect explodes, we will not only need to think about IoT, but also the way in which intelligent data is processed from the critical infrastructure and back to the cloud. Fog Computing will continue to open more efficient channels across our IoT, as long as we allow it.
First Responders: Saving Lives, Time and Money Through Innovation
How the Internet of Things is Changing the Landscape for First Responders and Industry According to the National Fire Protection Association, in 2013 there were 369,500 home fires causing some $6.8 billion in damages1 — plus an additional 98,000 apartment structure fires contributing an additional $1.6 billion in losses2. A frightening picture, isn’t it? The numbers are staggering — and yet innovation for emergency responders at both a local and national has not been a priority. The Internet of Things (IoT) aims to change that. Companies are now exploring how IoT technology can disrupt the way emergency responders do their jobs, saving countless lives and millions of dollars in the process. The IoT also holds immense promise for industrial applications, which often take place in remote locations where connectivity and communication platforms are rarely available. The IoT is a vast world, enabling the physical world to communicate with the digital world in new and amazing ways. But thanks to innovations fueled by companies focused on industrial, military, and government applications, we can traverse beyond a network of connected thermostats and smart TVs into an environment where first responders, industrial crews, and our military can communicate and receive critical information in real time. An example of technology that is changing the world of emergency responders as well as industries like Oil and Gas, the Military, and Utilities are ruggedized, industrial shorthaul and Wi-Fi platforms that offer secure collection, control and transport of Voice, Video, Data and Sensor information at incredible speeds. So what does this mean for the industries mentioned above? Imagine first responders being enabled to pull up building plans and architectural details as they arrive on scene. Structural notes are delivered at incredible speeds, giving the emergency responders valuable insight into stairway and fire escape placements and potential danger zones. Communication between police, fire crews and ambulance drivers is streamlined — delivered at blazing fast speeds. In other situations, police can access vehicle databases or hospital services, preserving precious minutes than can mean the difference between life and death. For industrial applications, the IoT holds promise for new levels of connectivity — enabling crews to access and consume information at a moment’s notice. This means workers can collect and transmit important data quickly and securely — even in harsh conditions. Beyond connectivity, the Internet of Things also holds massive promise for the monitoring of emergency responders and industrial crews in the field. Critical sensor data — such as oxygen levels, body and ambient temperature, heart rate and more — can be viewed in real time, giving the ability to monitor the vitals of emergency responders and workers in an instant and watch for danger signs and track bio data in the field. This data can be logged and analyzed, fueling innovation that will help keep these employees safe. The IoT is a vast and ever-growing field — and it holds incredible promise for making our cities a better and safer place to live and work. For emergency responders, where seconds saved can be lives saved, and industries where time is money, the IoT holds remarkable promise for changing the way we communicate, gather data, and work in the field. ————- Sources: 1 – http://www.nfpa.org/research/reports-and-statistics/fires-by-property-type/residential/home-fires 2 – http://www.nfpa.org/research/reports-and-statistics/fires-by-property-type/residential/apartment-structure-fires
