Accelerating the Industrial Internet of Things
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Number of Case Studies8
Recording the Run
Recording the Run
Nike is looking for ways to reduce the amount of material and labor needed to make high-performance, customized footwear and speed the delivery of its products to all kinds of athletes. Laser-cutting could scale down the amount of equipment needed to create the 20 to 30 parts of a typical shoe. However, Laser-cutting always leaves burnt edges on soft fabrics.
IIC - Edge Intelligence Testbed
IIC - Edge Intelligence Testbed
A test environment is needed for algorithms and architectures that meets a common set of requirements for many testbeds (see "Testbed in Depth")GOAL:A test facility that can be configured into complex edge compute environments, in order to further the state-of-the-art in edge analytics and algorithms
An IoT Software Suite to Connect Products to Customers' Business
An IoT Software Suite to Connect Products to Customers' Business
Solair started in Italy in 2011 with the observation that enterprise software severely lagged behind consumer software in affordability and simplicity. They have worked with customers in many industries including smart cities, manufacturing, industrial machinery and retail. Solair has recently begun to expand to do business mainly in Japan, Germany and the United States.“There are still many companies that don’t completely understand how to benefit from the potential advantages of connected products and they are looking for ready to use solutions that are quick to implement and bring measurable economic results,” said Martina Casani, Marketing Director, Solair. With a background in enterprise software, Solair now focuses on addressing business needs through end-to-end IoT solutions including an IoT Platform, a suite of IoT software modules and an IoT Gateway. “We started on the software side of IoT, but our customers were asking us for help on the hardware side,” said Casani. “We began to integrate an IoT Gateway in addition to software to help our customers from start to finish as they build an IoT application that collects data from the edge and brings it to the cloud.”
Number of Suppliers19
ARDIC
ARDIC
ADRIC’s “IoT-Ignite®” is an end-to-end, reliable, scalable and secure IoT platform to accelerate the large-scale deployment of IoT services globally. It is challenging to deploy IoT services in a large scale, due to complexity of service development, limitations on edge-processing capabilities, reliability, and hardware cost and dependency. ARDIC overcomes these challenges by offering an ‘industry-grade Android’ as a development environment that supports any hardware including open hardware solutions.
Volansys
Volansys
Volansys is Product Engineering Company with 300+ passionate engineers innovating disruptive technology solutions in the field of Wireless Connectivity, Multimedia, IoT, Wearable Devices, Mobility and Cloud Computing. Volansys is a ‘One Stop Solution Provider' since last 8 years for their customers, providing offerings such as Hardware & Firmware Design, Embedded Software, Verification & Validation, Cloud SaaS & PaaS development, Mobile Application Development, Quality Engineering and helping customers from concept to deployment.
RELOC s.r.l.
RELOC provides customers with a full spectrum of engineering services in order to build cutting-edge, robust Internet-of-Things (IoT) consumer products and secure industrial machine-to-machine (M2M) applications.Depending on the customer specific needs, RELOC builds vertical IoT solutions, starting with the analysis of requirements, identifying the best technologies for the project, developing custom hardware or integrating existing components, creating wireless infrastructures based on the most suitable communication protocols, developing firmware and software components, manufacturing complex prototypes based on different technologies, gathering data on Cloud platforms for further analysis and, eventually, presenting contents via responsive web interfaces and mobile APPs.
Number of Organizations1
EdgeX Foundry
EdgeX Foundry
EdgeX Foundry goals include:-Build and promote EdgeX as the common open platform unifying Internet of Things (IoT) edge computing-Enable and encourage the rapidly growing community of IoT solutions providers to create an ecosystem of interoperable plug- and-play components around the EdgeX platform architecture-Certify EdgeX components to ensure interoperability and compatibility-Provide tools to quickly create EdgeX-based IoT edge solutions that can easily adapt to changing business needs-Collaborate with relevant open source projects, standards groups, and industry alliances to ensure consistency and interoperability across the IoT
Number of Use Cases3
Edge Intelligence
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.
Industrial Edge Computing
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.
High Speed Network Infrastructure
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.
Number of Terms1
Everyware Software Framework (ESF)
Everyware Software Framework (ESF)
Eurotech’s Everyware Software Framework (ESF) is an inclusive and targeted Java OSGi software framework for M2M multiservice gateways, smart devices and IoT applications.
8 Case Studies
19 Suppliers
1 Organization
3 Use Cases
1 Term
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