Accelerating the Industrial Internet of Things
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66 use cases
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Advanced Metering Infrastructure (AMI)
Advanced metering infrastructure (AMI) solutions are integrated systems of smart meters, communications networks, and data management software that enable two-way communication between utilities and customers. AMI systems are comprised of electronic or 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 information to various users. AMI typically refers to the full measurement and collection system that includes meters at the end user site, communication networks between the end user 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.
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Agricultural Drones
An unmanned aerial vehicle (UAV), commonly known as a drone, or 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.
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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
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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.  
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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.
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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.
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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.
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Autonomous Transportation in Logistics
Autonomous transportation describes systems that provide unmanned, autonomous transfer of equipment, baggage, people, information or resources from point-to-point with minimal intervention.There is a strong case for suggesting that the logistics industry will adopt self-driving vehicles much faster than most other industries. The reason for this is that different rules apply when a vehicle is moving around in a secure, private zone. Also, liability issues are less pressing when that vehicle is transporting goods instead of people. 
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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.
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Blockchain-Based Aircraft Asset Lifecycle Management
An aircraft has several owners, and different parts replaced over its lifetime.  Are those parts original and in good shape?Damage events are something an organization wants to know about over time. Trust along the supply chain is assumed unless there are signs of physical tampering, a delivery truck is stolen, or transport delayed.
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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.
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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
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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.
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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.
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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.
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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.
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Edge Intelligence
The concept of edge intelligence (EI) introduces a paradigm shift with regard to acquiring, storing, and processing data: the data processing is placed at the edge between the data source (e.g. a sensor) and the IoT core and storage services located in the cloud. As such, the literal definition of edge and intelligence is: the ability to acquire and apply knowledge and skills is shifted towards the outside of an area, here the core communication network or the cloud.
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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.
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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.
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Equipment Efficiency Optimization
Optimizing the efficiency of equipment has a significant impact on profits and shareholder value. It affects productivity an quality.
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Factory Operations Visibility & Intelligence
Factory Operations Visibility and 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.
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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.
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Gas and Water Meter Reading
Smart gas and water 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.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.
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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 involves significant costs, and is of crucial importance for operating safety. While preventive maintenance could provide for another IIoT solution, at remote sites it is costly and sometimes ineffective.
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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.Wave division multiplexing dominates the global optical network hardware market, generating over 81% of the overall revenue. The dominance is primarily driven by China’s investments towards the development of broadband infrastructure, with a focus on 100G fiber-optic internet connections.
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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.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.
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Indoor Positioning System (IPS)
Indoor Positioning Systems (IPS) are used to locate persons or objects inside buildings, as opposed to GPS which works outdoors. IPSs 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.
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Industrial Digital Thread
The Industrial Digital Thread (IDT) testbed drives efficiency, speed, and flexibility through digitization and automation of manufacturing processes and procedures.It collects information in the design, manufacturing, service and supply-chain setup, and provides access to intelligent analytics for industrial manufacturing and performance data.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.
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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.
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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.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.
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