Emergency Response From Sensor-2-Server
Emergency response agencies are adding Sensor-2-Server (S2S) communication technologies to their tool belt, thus changing the way our local municipalities operate. As we head in the direction of a more connected world through the Internet of Things (IoT), we see increased efficiencies within our cities and local government operations. For example, municipalities can leverage S2S technology for monitoring and control of their traffic management systems to improve flow of traffic to support community growth or pain points within the local traffic infrastructure. These Smart City types of applications also extend into emergency response. Large scale emergency situations and natural disasters often lead to disabled or overloaded cell towers and disconnected Wi-Fi. When all forms of communication are severed, first responders face the challenge of conducting rescue efforts with extremely limited visibility into identifying which locations require immediate help and conditions of the affected locations. If local government or municipalities leverage Smart City applications to stay online during emergency and disaster recovery situations, response times increase, risk decreases and lives can be saved. A Sensor-2-Server (S2S) solution robust enough to maintain communications during worst case scenarios will provide a mission critical communication link that keeps responders connected. Further, solutions that support voice, video, data and sensor (VVDS) information can aid in complete, accurate assessment during the emergency as well as detailed follow-up after emergencies and disasters are over. Finding a New Solution for Emergency Response Secure wireless communications are a key component to successful emergency response and disaster recovery for Smart Cities. With technology specifically built for harsh outdoor, industrial locations and proven to perform under the most extreme environmental conditions, local governments and municipalities can create emergency response and disaster recovery protocols that would significantly reduce collateral damage. Wireless shorthaul communications solutions with robust Wi-Fi links support VVDS, giving responders a substantial advantage during emergency situations. In a situation where every moment counts, having that connection could make the difference in saving someone’s life. Benefits of Leveraging S2S Solutions with Emergency Response Agencies Functioning even when power outages are plaguing a city, there are a number of ways a Sensor-2-Server type of network can be leveraged by the local government: ⇒ Reduce Risks Significantly reduce the risk of injury for firefighters and first responders. By leveraging video, responders can examine and assess damage after a weather-related incident without having to enter unsafe buildings or areas. ⇒ Assess the Situation Streamline the post disaster assessment by first responders from all directions and relay critical information to headquarters. By leveraging voice and video capabilities responders get an accurate assessment of a situation from every angle and create a faster, safer evaluation than a manual process. ⇒ Increase Response Time When communication networks are down, emergency crews can leverage the secure wireless edge network. Emergency crews can respond faster because messages and instructions are relayed via VVDS rather than manually. ⇒ Protected Data Keep unwanted parties out of the network. Leverage secure encryption capabilities to prevent data hijacking and increase network security. Some solutions will offer a secure, dedicated channel for emergency communications that does not interfere with tactical plans. When a municipality becomes a Smart City, first responders can be highly effective and are better able to protect themselves from the dangerous situations they face. As S2S communications shape the future of municipal communication networks, voice and video can be incorporated into the network. With this new, rich data, emergency management teams can enhance their emergency response protocol and improve emergency planning.
Friday Top 5 IIoT News Roundup
It’s time to nominate our Friday top five Industrial IoT news articles of the week. Much like the weather in Boulder this week, we couldn’t decide on just one vertical focus, so we cast a wide net of IoT topics. In this week’s roundup, you’ll find a splash of fog computing, manufacturing, smart grid, security and overall IoT updates. Dive in and see if you agree with our picks. Don’t miss the Friday bonus at the end of this short roundup. Making fog computing sensors clearly reliableBy @Patrick_Mannion | Published on @ednmagazinehttp://www.edn.com/design/sensors/4442602/Making-fog-computing-sensors-clearly-reliable“As fog computing rolls in, the onus is upon designers to figure out how much intelligence should be at each node of the system for optimal performance. This implies then that sensors will need to start being more intelligent, with some level of built-in processing, storage, and communications capability.” Army needs wide-area electro-optical sensors for manned and unmanned aircraftBy @jkeller1959 | Published on @IntelligentAerohttp://www.intelligent-aerospace.com/articles/2016/08/ia-wami-sensors.html“Army researchers are interested in moderate-resolution persistent-surveillance electro-optical sensors that operate during the day and at night over large areas to detect vehicles and people on foot. Researchers want to develop a sensor that consists of an imaging sensor, as well as a storage and processing unit.” Five essential IIoT DefinitionsBy @MMS_MattDanford | Published on @MMSOnlinehttp://www.mmsonline.com/blog/post/5-essential-iiot-definitions-“The idea is not just to exchange and collect data, but to act on that data to make things better. (One commonly cited example is a “smart” thermostat.) IIoT is the same concept applied to industry. Examples range from “smart” buildings and power grids to “smart” transportation networks. IIoT might initially take the form of a machine tool status monitoring system.” What makes a grid smart?By David Shadle | Published on @tdworldmaghttp://tdworld.com/grid-opt-smart-grid/what-makes-grid-smart“My point, however, is that the critical consideration is not the number of sensors, controls or data storage components we add to our system when we decide to move ahead with smart grid applications. The focus also needs to be on mastering the integration of these systems, many times across traditional IT and OT lines, to allow them to achieve their potential for intelligence.” Top ten security predictions through 2020By @Gartner_inc | Published on @Forbeshttp://www.forbes.com/sites/gartnergroup/2016/08/18/top-10-security-predictions-through-2020/#4d8ba8073cbe“Through 2018, more than 50% of Internet of Things (IoT) device manufacturers will not be able to address threats from weak authentication practices.” Friday Bonus! FreeWave Technologies announces partnership with Solis Energy By @SolisEnergy and @freewavetech | Published on @SolarNovus http://www.solarnovus.com/freewave-technologies-announces-partnership-with-solis-energy_N10256.html “Both companies are excited about the partnership and are already working through high profile opportunities to take advantage of the growing demand for smart systems and industrial connectivity.”
The Glue that Holds Our “Connected” Dreams Together
Image courtesy of Flickr Creative Commons The visage of our “smart” or “connected” destiny is often presented to us in broad strokes: self-driving vehicles, connected homes, logistics, wearables – the list continues on with each piece of evolving and maturing technology. Smart cities have a bright future, and the application possibilities seem expansive, but often lost in the conversation is the technology that actually enables the connected world. Within a smart city – or even at a micro level – within one specific industry deploying smart technology, are a wide range of considerations: how much data are we transporting? How will we transport that data? How can we make our system intelligent? Where do we need to install these intelligence-driving platforms? How can we connect our data, operational technology and information technology to the necessary access points? Who/what has access to this data and control over these machines? These are only a few of the considerations that companies must address that are responsible for the industrial services driving cities and municipalities. While security is indeed a critical piece of this landscape, before any kind of connected or smart city can be achieved, the literal communication platform upon which that connectivity is deployed must first be implemented in a way that is not only compatible with current technology, but that will also be compatible with future technologies as well. From our perspective, there are five critical elements behind a smart city connected infrastructure: Robust Cloud Services Infrastructure designed to support all consumers of smart city deliverables Core Network Architecture that can rapidly expand in bandwidth and reach Extended Access Layer network architecture that incorporates a wide range of wired and wireless technologies to reach every sensor and device or that needs to connect to the smart city infrastructure A wide range of reporting devices such as sensors, visibility devices and other end points that create the data that makes a smart city work Distributed intelligence technology that allows for local execution of applications at the access layer plus global communication of data/analytics and information While each one of these tools is important in its own right, there is a common, underlying thread that connects them: each facet depends on a robust, reliable and secure communication platform. For smart cities, these communication platforms must be capable of enabling multiple methods of connectivity, but most importantly, they must be able to provide industrial-strength Wi-Fi. Wireless connectivity is the backbone of communication between the sensors that power all facets of the connected industrial infrastructure and the big data transport that is critical to the analytics that power “smart” enterprise. Not all industrial Wi-Fi platforms are created equal, and one of the major questions facing the ongoing development of smart infrastructure centers on how to ensure that these networks are secure and compatible across multiple, and sometimes proprietary, technologies. This certainly opens up a veritable can of worms, including the idea of standardization, but without the driving force of reliable and robust communication technology, most smart city dreams will remain just that – a dream.
Smart Grid: IoT’s Next Frontier
If smart grids across the world are headed towards an IoT frontier, what come’s next? According to a recent report, Ericsson estimated there will be 1.5 billion IoT devices adopted by the utility and energy industries as early as 2020. The rise of the smart grid seeks to tackle energy producers’ needs to direct power and resources as efficiently as possible. It’s not enough to know where all the utility lines are located, the modern digital age requires monitoring and sensors placed across all assets in the field, so that providers can relay actionable intelligence across the enterprise as quickly as possible. In the event of a power outage, for example, sensors can inform the field technicians where along the line the fault has happened, thus saving time on troubleshooting and enabling faster restoration of power to the customer base affected. An example would be Florida Power & Lighting (FPL), who is in the process of installing 20,000 smart grid devices across their state. Already these devices are saving an estimated 100,000 visits from technicians, since these smart grid devices can automatically fix small outages automatically. Computer Business Review reports that, “The world’s traditional electrical network – simple and linear, with centralized energy production and passive consumption – is undergoing a transformation to a much more complex, interconnected, and interactive model: the Smart Grid. However, for this network to become intelligent, users will require connectivity, simplicity, and security. They will also need access to a reliable and safe energy source that guarantees optimal operation of their installations, infrastructures, and equipment.” Perhaps more advanced smart grid solutions comes with a price, as many early IoT adopters are finding out. Storing, transferring and relying mission-critical commands across an IP address does expose potential cybersecurity risks as information and remote controls move from Sensor-2-Server. Experts are saying it’s not if a cyber attack will happen, but when the smart grid will be hit. Despite the need to adopt new technologies within the evolving digital landscape, utilities must establish a holistic security plan to not only address physical security measures, but also the data transmission paradigm from each individual end point on the network and back to the corporate IT office. Security through obscurity is not a solution. There are many common attack vectors for industrial devices that become even more relevant when considering that smart grid infrastructures are becoming fully networked, geographically dispersed projects.
IoT Top News: Fog Computing Influences Apps
This week BI Intelligence revealed the key benefits of fog computing along with a list of industries adapting this methodology. It is estimated that 5.6 billion IoT devices owned by enterprise and government will soon use fog computing for gathering and processing data. Let’s dive into some recent news from the past week and start by taking a closer look at the latest development in fog (edge or access layer) computing. Fog Computing in the IoT Forecasts industries and adoption benefits Edge or fog computing will become a priority as enterprise deals with the exploding amount of data waiting to be collected, sorted and processed. “The ‘Internet of Everything’ — all of the people and things connected to the internet — will generate 507.5 zettabytes (1 zettabyte = 1 trillion gigabytes) of data by 2019, according to Cisco. A deeper dive into this week’s top news show us a few IoT applications ready to change our world, from farmer robots to drones reconstructing car crashes. Robots are coming to a farm near you The cost of adding robots to agriculture still remains high, yet these IoT machines are threating to shake up the farming community around the globe. Sara Olson, Lux Research Analyst recently reported that, “However, the costs of many systems are coming down, while wages rise due to labor shortages in some areas, and the benefits robots bring in the form of increased accuracy and precision will start to pay off in coming years.” Drones expected to reconstruct car crashes The Justice Department has plans this week to start running tests gauging the ability of drones to accurately reconstruct car crashes. Jeramie Scott, director of the Electronic Privacy Information Center’s Domestic Surveillance Project suggests that, “There should be public, transparent policies spelling out specific use cases to “ensure law enforcement drones acquired for one purpose,” like crash scene reconstruction, “are not then used for secondary purposes that undermine privacy and civil liberties,” like mass surveillance of the public.” We hope you have enjoyed this week’s short round up. Next time you see a smart device at work or around town, think about all the IoT sensors, Wi-Fi, automation and smart applications that come together to bring you state of the art technology experiences, and ask yourself “what will they think of next?”
Berg Insight: Bright Days Ahead For Wireless Automation
A recent report published by Berg Insight details the bright future ahead for Industrial IoT through the implementation of wireless automation technologies. Berg Insight senior analyst Johan Svanberg made note that higher levels of automation and IoT solutions enable “shorter lead times, lower inventories, increased throughput as well as more flexibility and the ability to respond faster to changing customer needs.” The wireless IoT device market is served by a multitude of players from various backgrounds including global automation solution providers, automation equipment and solution vendors, industrial communication specialists and IoT communication specialists. This new report from Berg Insight informs us that: 2015 estimate of wireless devices for industrial automation applications reached 4.8 million units worldwide. Wireless devices installed for industrial applications have a forecasted growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Key Findings from Berg Insight: Wireless connectivity is instrumental in the Internet of Things era and the use of wireless solutions in industrial automation is increasing rapidly at all levels of automation systems. Industrial automation systems utilize wireless communication to connect remote and local facilities and equipment to increase operational efficiency. A wireless automation system contains a mix of network technologies, equipment and systems including enterprise and automation systems, network equipment, control devices and field devices. The most common wireless technologies in industrial automation include cellular, 802.11.x Wi-Fi, proprietary unlicensed ISM radio, Bluetooth, various LPWAN technologies and 802.15.4 based protocols such as WirelessHART, ISA100.11a and ZigBee. Berg Insight estimates that shipments of wireless devices for industrial automation applications, including both network and automation equipment, reached 4.8 million units worldwide in 2015. Growing at a compound annual growth rate of 25.1 percent, shipments are expected to reach 18.3 million by 2021. The installed base of wireless devices in industrial applications is forecasted to grow at a compound annual growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Wi-Fi is widely used for backbone communications as well as in monitoring and control applications within factory automation where Industrial Ethernet has got a strong foothold. Bluetooth is also popular – often as a point-to-point wire-replacement between for example a mobile HMI solution and a field device or control unit. 802.15.4 networks are often used to connect wireless sensors and instrumentation in process automation. Cellular connectivity is typically used for backhaul communication between plants, connecting remote devices in long haul SCADA applications and for third party access to machinery and robots. LPWAN technologies are increasingly used in certain low data, long range applications. Most of the major vendors of wireless IoT devices in industrial automation offer a wide range of devices with various wireless technologies in order to support many different applications. Key Takeaways, According to Berg Insight: Companies are now deepening the integration between industrial automation systems and enterprise applications and the promise of IoT is getting more tangible by the day. Large multinational corporations are beginning to systematically develop and adopt best practices to maximise the benefits of IoT technology in every part of their organisations. IT/OT convergence, smart factories, Industry 4.0 and the Industrial Internet of Things are concepts which are part of the ongoing evolution of industrial automation. Innovation in sensors, wireless connectivity, collaborative robots, big data and cloud solutions along with seamless exchange of information between devices, systems and people paves the way for improved performance, flexibility and responsiveness throughout the enterprise value chain. For more information, read the full report from Berg Insight.
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.
IoT Top News: Manufacturing Disruption
Industrial IoT continues to cause disruption; not just in manufacturing, but across many other industries as well. In the last few months we’ve been keeping a pulse on the state of digital transformation across the business landscape and have been discovering exciting new implementations of Industrial Internet of Things (IIoT). This week we’re highlighting the disruption Industrial IoT is instigating as product development and lifecycle management continues to evolve. Overcoming Three Key Barriers to Industrial IoT Industrial IoT has the potential to capture data in real-time, leverage big data analytics and streamline efficiency to name a few. So what’s hold back the industry? A major barrier has to do with culture of the operational technology (OT) organizations within the industry. The OT have a risk-averse way of thinking and see change as disruption, “Whereas IT is defined by constant change and innovation, that’s why it’s not unusual to see industrial automation systems in service for decades at a time with little or no change.” Bringing Smart Technology to Old Factories Can be an Industrial-Sized Disruption It sounds amazing to have robotic arms working together with the Industrial IoT. The reality is manufacturing is being disrupted by the implementation of IIoT. Mary Catherine O’Connor with the Wall Street Journal reminds us that, “Often plant managers can’t tell which sensor will most accurately collect the data they want from a machine without a series of test runs—a time-consuming process.” Product-Development Strategies in the IIoT Disruption The key to succeeding with IIoT disruption will be to focus on the new innovation of both product and software for the industry. Machine Design reminds us that, “IIoT is a disruptive force that will shape product-development trends over the next decade and beyond.” Relying on CMM to Keep IIoT’s Disruption Positive All the talk up to this point has been about the negative disruptive impacts IIoT is having on the industry. IIoT has the ability to drastically change manufacturing with a positive level of disruption introduced on the shop-floor. According the the American Machinist positive disruption can happen, “By using coordinate measuring machinery (CMM), machine shops or other manufacturers are able to capture the precise details of the geometry or surface conditions of a workplace. Working within IIoT, those manufacturers then are able to share such data between machines, exchange information between facilities, or with customers or suppliers.” Now we would like to leave you with this quick excerpt from Kevin Ashton, a British technology pioneer who co-founded the Auto-ID Center at the Massachusetts Institute of Technology (MIT) and inventor of the term “the Internet of Things.” How the Internet of Things Disruption Gains Traction – Extreme IoT We hope you have enjoyed this closer look at the disruption Industrial IoT is bringing to the table and what steps are being done to allow more implementation across the industry. Let’s us know what disruption you have seen with IIoT.
Internet of Things Expo: What to expect this week
The Internet of Things (IoT) is essential for both enterprise and personal, everyday use. Leading research firms agree that IoT will experience an unbelievable boom, possibly into the tens of billion devices by 2020 as computers, smartphones and sensors all require connectivity. This week’s Things Expo is a SYS-CON Media annual event, designed to help make sure your enterprise is IoT-ready with 80 breakout sessions focusing on many aspects of IoT, including big data’s use with predictive analytics, smart grid and Industrial IoT (IIoT), wearables, identity in IoT and modem data centers, among many other tracks. Here is a sneak peek at keynote Internet of Things Expo speaker Chris Matthieu. Also…Check out this clip of a Things Expo Power Panel It is going to be an action-packed three days of IoT information dumps from the experts. If you have the chance to be in New York this week, be sure to check out this conference and soak up some knowledge. Scott Allen, CMO of FreeWave, will be presenting “Sensor-2-Server: Intelligent Communication at the Access Layer” at ThingsExpo on Tuesday, June 7th from 4:40 – 5:15p.m. EDT. (http://www.cloudcomputingexpo.com/event/session/3238). Sensor-2-Server™ (S2S™) intelligent communications for the access layer can collect and transport the data that supports higher-level analytics. As IoT becomes adopted by industrial markets, there is going to be an increased demand for video, voice, data and sensor data communication from the outermost layer of the network. Let us know what you think. Which aspects of IoT are most interesting to you? What needs more coverage and information?
IIoT + S2S = Industrial Innovation at the Access Layer
The Industrial Internet of Things (IIoT) is moving at a rapid pace towards a higher intelligence platform to help collect, protect, transport and control data at scale from a myriad of sources. The access layer in the IT landscape is now particularly becoming an innovative technology environment with many new sensory solutions available to bring intelligence back to the core systems and analytics engines. Another area to consider when discussing IIoT are the individuals working with these technologies today, tomorrow and in the future. To start, the younger/millennial generation is entering the workforce in droves and is arguably the first generation open to big data integration and as part of IoT application solutions. Now that IT and Operations personnel work closer together than ever before, there is a need to be able to share the sensor data across the access layer. On the other hand, the older generation is trusting of the SCADA data systems they have been using for years, and are slow at first to adapt to the new intelligence created in the access layer. How Does an Enterprise Address this Transition? One strategy is IT/OT convergence, which promotes a single view of an enterprise’s information. Process-management tools help ensure that every person, machine, sensor, switch and device in an organization has accurate information in the best form and at the right time. As OT products—for example, programmable logic controllers (PLCs) and remote terminal units (RTUs)—become more aligned with IT infrastructure and applications, getting OT information integrated efficiently with IT systems at a process level is difficult enough for many companies. Getting IT and OT systems to work together to maximize business efficiency — while avoiding negative consequences, risks and pitfalls in the process —makes the task more challenging. However, thanks to new technologies, this process is becoming more practical and is creating the opportunities for huge economic benefits when these two disciplines are successfully integrated. Evolution of Sensor-2-Server (S2S) (As described by Brandon Lewis, Technology Editor for IoT Design) S2S architectures define a method for communicating data collected by sensor platforms at the access layer of an IoT network back to servers at other layers, including but not limited to centralized servers in the core network. This type of architecture allows sensor data to be transmitted to points in the network that are best suited to the specific type of analysis, decision making, and control, which in an industrial deployment could be a SCADA controller located at the aggregation layer rather than a mass dump of heterogeneous data from hundreds or thousands of endpoints back to the core network. For critical IoT systems that require real-time or near-real-time analysis of sensor data, this more localized communications can speed decision cycles using data in motion rather than waiting to parse data at rest. Want to Learn More about S2S and the Future of Industrial IoT? For more information and a full discussion on S2S and the future of IIoT, please check out this recent interview with the IoT Roadshow and Scott Allen. You can also listen to the SoundCloud recording below!