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64 use cases
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Advanced Metering Infrastructural System
Advanced metering infrastructure (AMI) is an integrated system of smart meters, communications networks, and data management systems that enable two-way communication between utilities and customers. AMI systems are comprised of state-of-the-art electronic/digital hardware and software, which combine interval data measurement with continuously available remote communications. These systems enable measurement of detailed, time-based information and frequent collection and transmittal of such information to various parties. AMI typically refers to the full measurement and collection system that includes meters at the customer site, communication networks between the customer and a service provider, such as an electric, gas or water utility and data reception and management systems that make the information available to the service provider.
Agricultural Drones
An unmanned aerial vehicle (UAV), commonly known as a drone, as an unmanned aircraft system (UAS), and also referred by several other names, is an aircraft without a human pilot aboard. The flight of UAVs may be controlled with various kinds of autonomy: either by a given degree of remote control from an operator, located on the ground or in another vehicle, or fully autonomously, by onboard computers.
Asset Efficiency
Asset Efficiency refers to the process of analyzing the health of an asset. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components:1. Monitoring: Tracking the actual health and viability of the asset2. Diagnostic Analysis: Comparing new, real-time data to relevant data from the past in order to detect any anomalies.3. Prognostics: Given past data, algorithms are developed to determine the remaining useful life of an asset
Automatic Fleet Routing (Telematics)
Fleet telematics is a way of monitoring the location, movement, status and behavior of a vehicle within a fleet. This is achieved through a combination of a GPS receiver and an electronic GSM device that is installed in each vehicle, which then communicates with the user and web-based software.https://www.fleetmatics.com/what-is-telematics
Automatic Meter Reading (AMR)
The technology of automatically collecting consumption, diagnostic, and status data from water meter or energy metering devices (gas, electric) and transferring that data to a central database for billing, troubleshooting, and data analysis.
Autonomous Manufacturing
It is noted that autonomous systems provide a new magnitude of flexibility and capability for complex manufacturing requirements. All resources are modeled as intelligent entities that interact with each other in a controlled environment. Each entity has an adaptive and intelligent controller allowing the entity to autonomously pursue multiple goals as both a consumer and a producer. Environment rules are established by local and global multiple-criteria decision systems to resolve conflicts between entities and to optimize their overall performance.
Autonomous Robots
Autonomous robots are intelligent machines capable of performing tasks in the world independently, without direct human control. Examples range from autonomous helicopters to industrial production robots.
Autonomous Transportation
Autonomous transportation describes systems that provide unmanned, autonomous transfer of equipment, baggage, people, information or resources from point-to-point with minimal intervention.
Baggage Management
Smart Airline Baggage Management, part of a broader aviation ecosystem vision, is aimed at reducing the instances of delayed, damaged and lost bags leading to lower economic risk exposure to the airlines; increasing the ability to track and report on baggage including location and weight changes to prevent theft and loss; and improve customer satisfaction through better communication including offering new value-added services to frequent flyers.
Building Automation and Controls (BAC) | Building Management System (BMS)
Building Automation and Controls (BAC) are a combination of hardware and software that control a building’s power systems; lighting and illumination; electric power and control; security, observation and magnetic card access; heating, ventilation and air-conditioning systems (HVAC); outdoor controls; lift, elevator and escalator controls; entertainment and BMS (Building Management Systems).BAC systems provide efficient control of internal comfort conditions, individual room control, increased staff productivity, effective use of energy, improved building reliability and life, quick and effective responses to HVAC problems, and save time and money. The systems also provide information on problems in the building, allow for computerized maintenance scheduling, are easy and effective for employees to use, and easily detect problems.Building management systems are most commonly implemented in large projects with extensive mechanical, HVAC, electrical, and plumbing systems. Systems linked to a BMS typically represent 40% of a building's energy usage; if lighting is included, this number approaches to 70%. BMS systems are a critical component of managing energy demand. Improperly configured BMS systems are believed to account for 20% of building energy usage, or approximately 8% of total energy usage in the United States.In addition to controlling the building's internal environment, BMS systems are sometimes linked to access control (turnstiles and access doors controlling who is allowed access and egress to the building) or other security systems such as closed-circuit television (CCTV) and motion detectors. Fire alarm systems and elevators are also sometimes linked to a BMS, for monitoring. In case a fire is detected then only the fire alarm panel could shut off dampers in the ventilation system to stop smoke spreading and send all the elevators to the ground floor and park them to prevent people from using them.  Key vendors: Airedale, Honeywell, Siemens, Trend
Building Energy Management System (BEMS)
Building Energy Management Systems (BEMS) are computer-based systems that help to manage, control and monitor building technical services (HVAC, lighting etc.) and the energy consumption of devices used by the building. They provide the information and the tools that building managers need both to understand the energy usage of their buildings and to control and improve their buildings’ energy performance. Key vendors: Honeywell, Johnson Controls, Schneider Electric, Siemens
Collaborative Robotics
A flexible form of human-machine interaction where the user is in direct contact with the robot while he is guiding and training it.A collaborative robot, or "cobot," is a robot that can safely and effectively interact with human workers while performing simple industrial tasks. However, end-effectors and other environmental conditions may create hazards, and as such risk assessments should be done before using any industrial motion-control application.
Condition-based Maintenance (CBM)
Condition-based Maintenance (CBM) or predictive maintenance is the science of maintaining physical assets over time, in order to maximize their return on those assets. It is enabled by sensors and data analytics that provide visibility into the current and future status of assets.
Continuous Emission Monitoring Systems (CEMS)
Continuous emission monitoring systems (CEMS) are used to monitor flue gas for oxygen, carbon monoxide and carbon dioxide to provide information for combustion control in industrial settings.
3D Printing | Additive Manufacturing (AM)
3D printing, also known as additive manufacturing (AM), refers to processes used to synthesize a three-dimensional object from successive layers of material. These objects can be of almost any shape or geometry, and are produced from a 3D model or other data source.
Edge Intelligence
The concept of edgeintelligence (EI) introduces a paradigm shift with regard to acquiring,storing, and processing data: the data processing is placed at the edge betweenthe data source (e.g. a sensor) and the IoT core and storage services locatedin the cloud. As such, the literal definition of edge and intelligence is: theability to acquire and apply knowledge and skills is shifted towards theoutside of an area, here the core communication network or the cloud. 
Energy Usage and Billing Information
Smart meters are essential to efficient energy consumption and a key part of the smart grid infrastructure. Smart meters help consumers stay fully informed about their daily energy use and eliminate wasteful routines or get rid of inefficient appliances. For utility companies, the real-time visibility into energy consumption process translates into accurate billing data and the ability to balance demand against supply via flexible pricing and other policies.
Enterprise Asset Management
Asset management systems enable organizations effectively monitor and manage their different types of assets without creating a huge management workload that erodes the bottom line.
Equipment Efficiency Optimization
Optimizing the efficiency of equipment has a significant impact on profits and shareholder value. It affects productivity an quality.
Factory Operations Visibility & Intelligence
FOVI is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.
Fleet Management (FM)
Automated Fleet Management solutions to connect vehicles and monitor driver activities, allowing managers to gain an unprecedented level of insight into fleet performance and driver behavior. This enables them to know where vehicles and drivers are at all times, identify potential problems much sooner and mitigate risks before they become larger issues that can jeopardize client satisfaction, impact driver safety or increase costs.
Gas and Water Meter Reading
These smart meters will provide a wealth of information that can help utilities and their consumers in many ways – from allowing fully automated billing based on time of use or network status (e.g., with prices rising and falling according to peak and trough usage) to enabling meter-to-appliance communications to help change consumer energy behavior.Currently, new flourishing technological developments have simplified and made more accessible applications that can help companies and households cut costs. In the case of gas and water meters, RF communication is an increasing requirement because of the increasing availability of AMI (advanced metering infrastructure) architecture, with the smart electricity meter often acting as the gateway to the utility for meter reading. Gas and water meters will communicate to the smart meter over the Home Area Network (HAN). With these utilities communicating with each other, the consumer has a heightened understanding of his expenses and how they are related to his concrete energy usage. He can then use this information to adjust his behavior and thus lower his expenses while simultaneously avoiding needlessly wasting energy. In addition, utilities companies can use this information to improve their billing capabilities by gaining a comprehensive perception of consumer behavior.Smaller and cheaper sensors, used in tandem with elaborate and expansive software allow users to reap significant benefits from smart meters. This must be complemented however by the utilization of advanced security systems to ensure that data cannot be tampered with.Benefits: Better understanding of expenses, heightened ability to cut expenses, avoid wasting electricity-OPEX Reduction-Overhead ReductionEnvironmental Protection
Gas Detection predictive maintenance
Operators use gas detection devices to monitor and prevent gas leaks. Detection of gas levels and leakages in industrial environments, surroundings of chemical factories and inside mines.CHALLENGES / REQUIREMENTS - Equipment failure in the compressor station can lead to loss of revenue- Preventive maintenance at remote sites is costly and sometimes ineffective- A system is needed to monitor the parameters of the setup to predict failuresSTAKEHOLDERS - Gas pipeline owners and operators- Gas usersKEY OBJECTIVES - To provide uninterrupted gas service to the intended users- Quality of service- To optimize the predictive maintenance schedules- Imminent failure alertsTYPICAL SYSTEM CAPABILITIES - Secure, coordinated machine/device connectivity- Enhanced equipment sensing to generate data for predictive maintenance- Data distribution to predictive analytics algorithms and monitoring applications (local or cloud)- Predictive analytics for any vendor’s equipment- Reporting to pipeline owner/operatorUSAGE VIEWPOINT - Data at compressor stations and other operational points to be monitored continuouslyThese data to be sent to predictive analytics software toolsResult of the analysis to be reported to the user/ownerFUNCTIONAL VIEWPOINT - Sensors: Pressure, Flow- Network: Wide Area Network (WAN)- Standards: - Augmented Intelligence: Predictive analysisOperators use gas detection devices to monitor and prevent gas leaks. The electrochemical based gas leak detector is the predominant segment with total share of about 38%, whilst the ultrasonic, semiconductor and infrared based gas leak detector cumulatively accounted for 46.6% % in the global gas leak detector market value in 2014.TypesGas detectors can be classified according to the operation mechanism (semiconductors, oxidation, catalytic, infrared, etc.). Gas detectors come packaged into two main form factors: portable devices and fixed gas detectors.Portable detectors are used to monitor the atmosphere around personnel and are worn on clothing or on a belt/harness. These gas detectors are usually battery operated. They transmit warnings via audible and visible signals, such as alarms and flashing lights, when dangerous levels of gas vapors are detected.Fixed type gas detectors may be used for detection of one or more gas types. Fixed type detectors are generally mounted near the process area of a plant or control room, or an area to be protected, such as a residential bedroom. Generally, industrial sensors are installed on fixed type mild steel structures and a cable connects the detectors to a SCADA system for continuous monitoring. A tripping interlock can be activated for an emergency situation.Electrochemical:Electrochemical gas detectors work by allowing gases to diffuse through a porous membrane to an electrode where it is either chemically oxidized or reduced. The amount of current produced is determined by how much of the gas is oxidized at the electrode, indicating the concentration of the gas. Manufacturers can customize electrochemical gas detectors by changing the porous barrier to allow for the detection of a certain gas concentration range. Also, since the diffusion barrier is a physical/mechanical barrier, the detector tended to be more stable and reliable over the sensor's duration and thus required less maintenance than other early detector technologies.However, the sensors are subject to corrosive elements or chemical contamination and may last only 1–2 years before a replacement is required. Electrochemical gas detectors are used in a wide variety of environments such as refineries, gas turbines, chemical plants, underground gas storage facilities, and more.Infrared point:Infrared (IR) point sensors use radiation passing through a known volume of gas; energy from the sensor beam is absorbed at certain wavelengths, depending on the properties of the specific gas. For example, carbon monoxide absorbs wavelengths of about 4.2-4.5 μm. The energy in this wavelength is compared to a wavelength outside of the absorption range; the difference in energy between these two wavelengths is proportional to the concentration of gas present.This type of sensor is advantageous because it does not have to be placed into the gas to detect it and can be used for remote sensing. Infrared point sensors can be used to detect hydrocarbons and other infrared active gases such as water vapor and carbon dioxide. IR sensors are commonly found in waste water treatment facilities, refineries, gas turbines, chemical plants, and other facilities where flammable gases are present and the possibility of an explosion exists. The remote sensing capability allows large volumes of space to be monitored.Engine emissions are another area where IR sensors are being researched. The sensor would detect high levels of carbon monoxide or other abnormal gases in vehicle exhaust and even be integrated with vehicle electronic systems to notify drivers.Infrared imaging:Main article: Thermographic cameraInfrared imaging sensors include active and passive systems. For active sensing, IR imaging sensors typically scan a laser across the field of view of a scene and look for backscattered light at the absorption line wavelength of a specific target gas. Passive IR imaging sensors measure spectral changes at each pixel in an image and look for specific spectral signatures that indicate the presence of target gases. The types of compounds that can be imaged are the same as those that can be detected with infrared point detectors, but the images may be helpful in identifying the source of a gas.Semiconductor:Semiconductor sensors detect gases by a chemical reaction that takes place when the gas comes in direct contact with the sensor. Tin dioxide is the most common material used in semiconductor sensors, and the electrical resistance in the sensor is decreased when it comes in contact with the monitored gas. The resistance of the tin dioxide is typically around 50 kΩ in air but can drop to around 3.5 kΩ in the presence of 1% methane. This change in resistance is used to calculate the gas concentration. Semiconductor sensors are commonly used to detect hydrogen, oxygen, alcohol vapor, and harmful gases such as carbon monoxide. One of the most common uses for semiconductor sensors is in carbon monoxide sensors. They are also used in breathalyzers. Because the sensor must come in contact with the gas to detect it, semiconductor sensors work over a smaller distance than infrared point or ultrasonic detectors.Ultrasonic:Ultrasonic gas detectors use acoustic sensors to detect changes in the background noise of its environment. Since most high-pressure gas leaks generate sound in the ultrasonic range of 25 kHz to 10 MHz, the sensors are able to easily distinguish these frequencies from background acoustic noise which occurs in the audible range of 20 Hz to 20 kHz. The ultrasonic gas leak detector then produces an alarm when there is an ultrasonic deviation from the normal condition of background noise. Ultrasonic gas leak detectors cannot measure gas concentration, but the device is able to determine the leak rate of an escaping gas because the ultrasonic sound level depends on the gas pressure and size of the leak.Holographic:Holographic gas sensors use light reflection to detect changes in a polymer film matrix containing a hologram. Since holograms reflect light at certain wavelengths, a change in their composition can generate a colorful reflection indicating the presence of a gas molecule.[12] However, holographic sensors require illumination sources such as white light or lasers, and an observer or CCD detector.Key vendors: Crowcon Detection Instruments, ENMET, Grainger, Libelium
High Speed Network Infrastructure
The High-Speed Network Infrastructure testbed will introduce high-speed fiber optic lines to support Industrial Internet initiatives. The network will transfer data at 100 gigabits per second to support seamless machine-2-machines communications and data transfer across connected control systems, big infrastructure products, and manufacturing plants.The 100 gigabit capability extends to the wireless edge, allowing the testbed leaders to provide more data and analytical results to mobile users through advanced communication techniques. Industrial Internet Consortium founder, GE, is leading efforts by installing the networking lines at its Global Research Center. Cisco - also a founder of the Consortium - contributed its expertise to the project by providing the infrastructure needed to give the network its national reach. Industrial Internet Consortium members Accenture and Bayshore Networks are currently demonstrating the application of the High-Speed Network Infrastructure for power generation.
Indoor Air Quality Monitoring (IAQ)
Air quality monitoring (IAQ) is carried out to assess the extent of pollution, ensure compliance with national legislation, evaluate control options, and provide data for air quality modelling. It is particularly important in chemical plants or other facilities with potentially harmful concentrations of pollutants.CHALLENGES / REQUIREMENTS - A system is needed to sense air quality at static and moving locations (on car body) all over the city and feedback the data to the lab over networkSTAKEHOLDERS - City residents- Meteorological labsKEY OBJECTIVES - To have improved air quality in the city- Save environment- To detect air quality at various locations in the city and detect the reasons for its deteriorationTYPICAL SYSTEM CAPABILITIES - A system can detect air quality at stationary locations, as well as it can also be mounted on car body- It continuously sends data to centralized monitoring system, which can log, analyze and predict the air quality of a particular locationUSAGE VIEWPOINT - Sensors are mounted on stationary as well as on moving car body to detect harmful gases and substances in air all across the city- These sensors send real-time information to the central location- Software analytical tools monitor the real-time data and can find the air quality deteriorating premises in the city as per the density variation and trends in the data logFUNCTIONAL VIEWPOINT - Sensors: Chemical- Network: Wide Area Network (WAN) - Standards: - Augmented Intelligence: Predictive Analytics- Augmented Behavior: Machine-to-machine (M2M) interfacesVarious technologies are used for IAQ monitoring and management, including CO2 sensors, demand-controlled ventilation (DCV), energy recovery ventilation (ERV), dedicated outdoor air systems (DOASs), ultraviolet germicidal irradiation (UVGI), displacement ventilation (DV), and underfloor air distribution (UFAD). These technologies improve building operations while reducing energy use. These sensors are complemented by software which process and analyze data, and prove to be a critical piece to the puzzle of air quality monitoring. This can be leveraged in a variety of ways, including pushing the information to a user's cell phone.Industrial operators use air quality monitoring equipment to cost effectively monitor and manage emissions on their perimeter, which helps them improve relationships with regulators and communities. With air quality regulation shifting the burden from publicly funded monitoring to monitoring funded by industry, it has been increasingly important for businesses to acquire their own quality monitoring equipment. Beyond that, it is ultimately of utmost importance to ensure that the location is safe for all individuals and for the environment as a whole. Proper utilization of IAQ technology makes that a possibility.Benefits: Safer spaces for people and the environment-Regulatory Risk-Health & Safety/Litigation Safeguard-Environmental ProtectionKey vendors: 3M Company, Cerex Monitoring Solutions, Honeywell, Thermo Fisher Scientific, Tisch International, TSI
Indoor Positioning System (IPS)
Indoor Positioning Systems are used to locate persons or objects inside buildings, as opposed to GPS which works outdoors.Indoor Positioning Systems (IPS) impact asset monitoring and automation at the enterprise level. The technology is expected to bring in integration capabilities of analytical software tools with the existing maps and navigation software. There are four basic approaches to solving the problem of indoor positioning. Wi-Fi Fingerprinting is a software only, device-based approach that reads the digital signatures of the WiFi network. It uses device-based software resulting in a low cost and easy calibration but it is weak in accuracy and reliability. Bluetooth Low Energy Beacons / iBeacons are simple, low-cost transmitters that can be placed around a facility. Application software on the device and then be programmed to read these signals to drive a wide range of uses. It has a low up front cost and low maintenance and is the standard embraced by Apple and Google. However users must maintain Beacon infrastructure, which is not suitable on their ad hoc navigation. Handset Sensor Fusion involves accessing data from multiple sensors on a screen, such as a compass or gyroscope and applying sophisticated algorithms and techniques to "fuse" these together into an optimal estimate of the device's position. It is device-based software and is low cost and easy to calibrate but like Wi-Fi Fingerprinting it suffers from poor reliability. Cisco Mobility Services Engine (MSE) is a network-based approach that leverages an array of techniques to position all devices connecting or visible to the network, not just smartphones. This is the solution most suited to the Enterprise, as it addresses infrastructure security and management. However, with existing technology the accuracy and refresh rates are not suitable for all use cases. Cutting edge solutions merge multiple technologies to provide the optimal solution for difficult challenges. Locating and tracking:One of the methods to thrive for sufficient operational suitability is "tracking". Whether a sequence of locations determined form a trajectory from the first to the most actual location. Statistical methods then serve for smoothing the locations determined in a track resembling the physical capabilities of the object to move. This smoothing must be applied, when a target moves and also for a resident target, to compensate erratic measures. Otherwise the single resident location or even the followed trajectory would compose of an itinerant sequence of jumps.Identification and segregation:In most applications the population of targets is larger than just one. Hence, the IPS must serve a proper specific identification for each observed target and must be capable to segregate and separate the targets individually within the group. An IPS must be able to identify the entities being tracked, despite the "non-interesting" neighbors. Depending on the design, either a sensor network must know from which tag it has received information, or a locating device must be able to identify the targets directly.Uses:The major consumer benefit of indoor positioning is the expansion of location-aware mobile computing indoors. As mobile devices become ubiquitous, contextual awareness for applications has become a priority for developers. Most applications currently rely on GPS, however, and function poorly indoors. Applications benefiting from indoor location include:- Augmented reality - School campus- Guided tours of museums- Shopping malls- Store navigation - Warehouses- Airports, bus, train and subway stations- Parking lots- Targeted advertising- Social networking- Hospitals - Hotels- Sports- Indoor robotics- Tourism- Other public building maps.Key vendors: Cisco, Connexient, Guardly, HP
Industrial Digital Thread
To collect information in the design, manufacturing, service, supply-chain setup and provide access to and intelligent analytics for industrial manufacturing and performance data, to identify the root cause easier. Such insights can improve not only service and owner/operator productivity, but also provide critical feedback to the design engineering and manufacturing operations teams for continuous improvement.The Industrial Digital Thread (IDT) testbed drives efficiency, speed, and flexibility through digitization and automation of manufacturing processes and procedures. Beginning at design, the seamless digital integration of design systems into manufacturing, leveraging the model-based enterprise, helps to enable virtual manufacturing before even one physical part is created. Sensor enabled automation, manufacturing processes, procedures, and machine data will enable optimization in operations and supply chain. Once the manufacturing process is complete, the digital ‘birth certificate’ (as built-signature) can then be compared to the as-designed engineering intention. This provides the opportunity for powerful big data analytics to enable service teams and field engineers to have better awareness, insights, and practical actions to improve the servicing and maintenance of critical assets.In this way, the production process can be viewed holistically, allowing management teams to make decisions based on robust information and data about their production process. Overall, this operates as a straightforward and extensive mechanism to pinpoint issues at nearly any point in the production process. It can also be leveraged to help resolve those issues, as the IDT can serve as a template for high level decision making. Finally, it can be used to locate exactly where efficiency could be enhanced or costs could be cut.Benefits: Enhanced visibility of production process, Easy to locate problems and inefficiencies, Facilitates maximization of productivity-OPEX Production-Customer Service ImprovementKey vendors: GE, Infosys
Industrial Edge Computing
Edge (fog) computing shifts computing applications, data, and services away from centralized servers to the extremes of a network. This enables analytics and knowledge generation to occur at the source of the data. Industrial IoT companies face challenges turning machine data into business intelligence. Existing cloud-based technologies do not solve problems of data analytics, software deployment, or updates and security for remote devices. Edge or fog computing solves the problem of accessing large amounts of machine-generated data by processing data at the edge of the network and converting it into actionable, useful business information. In an Intelligent Industrial Fog, software can be deployed at various points in the network to not only automate monitoring and control, but also to apply embedded intelligent agents that can adjust device behaviors in relation to ongoing performance variables, reduce running costs by reducing power consumption during off-cycles, or even detect imminent failures and notify technicians to perform preventative maintenance.Companies use edge computing technologies to analyze the data locally, sending only most important data to a centralised cloud. This reduces data transmission and storage costs while also allowing real-time analysis and action. Edge computing also allows remote software deployment and secure M2M communication.Edge computing leverages resources that are not continuously connected to a network, such as laptops, smartphones, tablets and sensors. It covers a wide range of technologies, from wireless sensor networks and mobile data acquisition to cooperative distributed peer-to-peer ad hoc networking and processing. Import IoT applications include remote cloud services, distributed data storage and retrieval, and self-healing networks.
Industrial Wearables
Wearable products comprise smart devices equipped with microchips, sensors, and wireless communication capabilities. These devices collect data, track activities, and provide customized experiences to user’s needs and desires.The adoption of wearables in the workplace will occur both in corporate enterprise environments and in industrial settings such as warehouses, manufacturing shop floors, and field maintenance sites. Wireless sensors detect concentration of the target gas and transmit a proportional signal. Since they can be used in remote or hard-to-reach locations, the demand is expected to remain strong in the coming years. The growing popularity of mobile networks has been one of the most important factors in the development of wearable technology. Bluetooth headsets, smartwatches, and web-enabled glasses allow people to access data hands-free from Wi-Fi networks. An entire industry devoted to the development of applications that can work with wearable technologies has recently developed, with services being sold or given for free to individuals willing to download applications. These applications cover a broad spectrum: from those focused on health and exercise to sports and maps.Wearable technologies present a significant opportunity for businesses, both in terms of new markets and data collection. Retailers can ping wearable devices to determine which sections of a store a consumer visits advertisers can target consumers based on location and the nature of the application associated with the device, and information uploaded to a website dedicated to the device can provide marketers with information specific to an individual consumer.Real-time data and real-time insight fed to an operator who needs it can significantly impact efficiency and safety. Other benefits include ease of installation, cost-effectiveness, and the ability to create a network of sensors. Smart gas sensors can be integrated into portable electronic devices such as smartphones and tablets, which helps enhance overall performance under harsh external conditions.Key vendors: GE, Google, SAP, XOEye Technologies
Infinite
Completely virtual domains that are able to be connected via mobile networks; A solution that allows multiple virtual domains to securely run via one physical network.Smart Data can enhance and improve the service provided by emergency service vehicles such as ambulances. Consider the scenario where an emergency service vehicle is dispatched to an incident. The response time is critical. What if the real-time GPS data generated by the emergency service vehicle can be combined with other real-time data from diverse sources such as: current traffic levels for all routes to the incident, location of roadwork, diversions and road closures. By combining and analyzing these diverse raw datasets in real-time in order to provide valuable and intelligent route planning and insights for the emergency service vehicle, response times will improve, leading to better life enhancing outcomes.Member Participants: EMC Corporation, Cork Institute of Technology
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