Information and communication technologies

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Information and communication technologies View Taxon in all lists View Kanban

Digital manufacturing platforms Description

According to the Factories of the Future 2020 roadmap issued in 2013 (see https://www.effra.eu/factories-future-roadmap), digital manufacturing platforms are described as distributed and collaborative applications, implemented through mash-ups of services implemented by different small and large ICT and manufacturing vendors. The cloud will be the “agora” for provisioning customised functionalities through services that are reliable, secure, and guarantee performance. Open standards will ensure the full inter-operability in terms of data and applications.

More recent descriptions are available on https://www.effra.eu/digital-manufacturing-platforms

IoT - ICT solutions for factory floor and physical world inclusion Description

Real-world resources such as machinery, robots, lines, items and operators are an integral part of the information structure of production processes. All of them need to be connected to each other and to back-end systems and at the same time to be self-aware of the surrounding environment.

Human Machine Interfaces View Kanban

Augmented reality Description

Virtual reality Description

Advanced and ubiquitous human machine interaction Description

Advanced machine interaction with humans through ubiquity of mobile devices will enable users to receive relevant production and enterprise-specific information regardless of their geographical location and tailored to the context and the skills/responsibilities they own. Interactions with ICT infrastructures and equipment will be natural language-like

Data visualisation Description

Data analytics, including artificial intelligence (AI) View Kanban

Data storage View Kanban Description

Data storage is the recording (storing) of information (data) in a storage medium. DNA and RNA, handwriting, phonographic recording, magnetic tape, and optical discs are all examples of storage media. (from https://en.wikipedia.org/wiki/Database)

ICT solutions for next generation data storage and information mining

Relational databases Description

Non-relational database (NoSQL) Description

Data processing View Kanban Description

Cloud computing, edge computing View Kanban

Cloud computing Description

Edge computing Description

Data acquisition Description

Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems, abbreviated by the acronyms DAS or DAQ, typically convert analog waveforms into digital values for processing. The components of data acquisition systems include:

Sensors, to convert physical parameters to electrical signals.
Signal conditioning circuitry, to convert sensor signals into a form that can be converted to digital values.
Analog-to-digital converters, to convert conditioned sensor signals to digital values.

Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages
So, as a summary, Data acquisition is in itself a vast group of protocols, technologies, sensors, hardware and software…

(from https://en.wikipedia.org/wiki/Data_acquisition)

Data modelling Description

Cognitive and artificial intelligence (AI) technologies View Kanban Description

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving" (from https://en.wikipedia.org/wiki/Artificial_intelligence)

Fuzzy logic Description

Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false (from https://en.wikipedia.org/wiki/Fuzzy_logic)

Neural networks Description

Artificial neural networks (ANN) or connectionist systems are computing systems vaguely inspired by the biological neural networks and astrocytes that constitute animal brains. The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs.[4] Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules. (from https://en.wikipedia.org/wiki/Artificial_neural_network)

Genetic algorithms Description

In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. (https://en.wikipedia.org/wiki/Genetic_algorithm)

Heuristics Description

A heuristic function, also called simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. (from https://en.wikipedia.org/wiki/Heuristic_(computer_science))

System modelling, simulation and forecasting Description

Simulation (often referred to as digital twins) is the imitation of the operation of a real-world process or system. The act of simulating something first requires that a model be developed; this model represents the key characteristics, behaviors and functions of the selected physical or abstract system or process. The model represents the system itself, whereas the simulation represents the operation of the system over time. (from https://en.wikipedia.org/wiki/Simulation)

Programming Frameworks – Software Development Kits (SDKs) View Kanban

FIWARE View Kanban Description

Smart Industry Context Information Management and Persistence View Kanban

The Orion Context Broker Generic Enabler Description

The Orion Context Broker Generic Enabler is the core and mandatory component of any “Powered by FIWARE” platform or solution. It enables to manage context information in a highly decentralized and large-scale manner. It provides the FIWARE NGSIv2 API which is a simple yet powerful Restful API enabling to perform updates, queries or subscribe to changes on context information.

The STH Comet Generic Enabler Description

The Cygnus Generic Enabler Description

The Cygnus Generic Enabler brings the means for managing the history of context that is created as a stream of data which can be injected into multiple data sinks, including some popular databases like PostgreSQL, MySQL, MongoDB or AWS DynamoDB as well as BigData platforms like Hadoop, Storm, Spark or Flink.

Smart Industry NGSI Agents Framework to Real World View Kanban

The IDAS Generic Enabler

The Fast RTPS Incubated Generic Enabler

The OpenMTC Incubated Generic Enabler

Smart Industry Information Processing View Kanban

The Wirecloud Generic Enabler

The Knowage Generic Enabler

The Kurento Generic Enabler

The Cosmos Generic Enabler

The FogFlow Incubated Generic Enabler

The AEON Incubated Generic Enabler

The Domibus Incubated Generic Enabler

PROTON

PERSEO

CEPHEUS

XML3D

Augmented Reality (FIWARE)

Quantum Leap

Smart Industry Context Data/API Management, Publication and Monetization View Kanban

The CKAN extensions Generic Enabler

The Keyrock Identity Management Generic Enabler

The Wilma proxy Generic Enabler

The AuthZForce PDP/PAP Generic Enabler

The Biz Framework Generic Enabler

Programming Languages

Operating systems

Architecture View Kanban

Collaborative and decentralized application architectures and development tools Description

In extended enterprises and globalized markets, applications (e.g. Life Cycle Management, Supply Chain Management, Monitoring & Control, and Customer Relationship Management) will no longer operate in closed monolithic structures. Stakeholders and customers collaborating on a common application platform implemented with the cloud approach will bank on new software development and testing environments more oriented towards non-technical users and support development of business processes. Distributed applications with low footprints targeting large user base would be supported by enhanced Business Process Re-engineering tools for rapid development and deployment.

Directly mapped projects

Showing 10 last updated out of 125

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	Acronym	Title
	PERFoRM	Production harmonizEd Reconfiguration of Flexible Robots and Machinery
Information and communication technologies Digital manufacturing platforms IoT - ICT solutions for factory floor and physical world inclusion Data analytics, including artificial intelligence (AI) Data storage ICT solutions for next generation data storage and information mining System modelling, simulation and forecasting
	BEinCPPS	Business Experiments in Cyber Physical Production Systems
Information and communication technologies IoT - ICT solutions for factory floor and physical world inclusion Human Machine Interfaces Data analytics, including artificial intelligence (AI) Data storage Data processing Data acquisition Data modelling Cognitive and artificial intelligence (AI) technologies System modelling, simulation and forecasting Programming Frameworks – Software Development Kits (SDKs) FIWARE Smart Industry Context Information Management and Persistence The Orion Context Broker Generic Enabler The Cygnus Generic Enabler Programming Languages Operating systems
	A4BLUE	Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context
Information and communication technologies IoT - ICT solutions for factory floor and physical world inclusion Comment: The A4BLUE framework consists of an ICT infrastructure that enables the integration of automation mechanisms, sensors, legacy systems based on IoT components (FIWARE,...) that enables the assistance and support on decision through divers HMI, including Augmented Reality. Human Machine Interfaces Comment: Included technologies: - Multimodal interaction mechanisms of workers with automation (voice and gestures). - Augmented Reality interfaces for assistance and guiding Advanced and ubiquitous human machine interaction Comment: The A4BLUE framework introduces new ways of interacting with automation mechanisms (specifically, with robots) thorugh natural speaking and gestures. Data analytics, including artificial intelligence (AI) Data storage Data processing Data acquisition Data modelling Programming Frameworks – Software Development Kits (SDKs) FIWARE Comment: FIWARE components are used within the A4BLUE architecture (context broker, CEP, identity management, collaborative asset management (FITMAN)).
	SatisFactory	A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments
Information and communication technologies Human Machine Interfaces Advanced and ubiquitous human machine interaction System modelling, simulation and forecasting
	FACTS4WORKERS	Worker-Centric Workplaces in Smart Factories
Information and communication technologies Digital manufacturing platforms IoT - ICT solutions for factory floor and physical world inclusion Human Machine Interfaces Advanced and ubiquitous human machine interaction Data analytics, including artificial intelligence (AI) Data storage ICT solutions for next generation data storage and information mining Data processing Data acquisition Cognitive and artificial intelligence (AI) technologies System modelling, simulation and forecasting Architecture Collaborative and decentralized application architectures and development tools
	INCLUSIVE	Smart and adaptive interfaces for INCLUSIVE work environment
Information and communication technologies Human Machine Interfaces Advanced and ubiquitous human machine interaction Data analytics, including artificial intelligence (AI) Data storage Data processing Data acquisition
	ComMUnion	Net-shape joining technology to manufacture 3D multi-materials components based on metal alloys and thermoplastic composites
Information and communication technologies System modelling, simulation and forecasting
	ConnectedFactories	Industrial scenarios for connected factories
Information and communication technologies Digital manufacturing platforms Data analytics, including artificial intelligence (AI) Data storage Data processing
	OPTIMISED	Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data
Information and communication technologies Data analytics, including artificial intelligence (AI) System modelling, simulation and forecasting
	USE-IT-WISELY	Innovative continuous upgrades of high investment product-services
Information and communication technologies System modelling, simulation and forecasting Architecture Collaborative and decentralized application architectures and development tools

Directly mapped results & demonstrators

Showing 10 last updated out of 33

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	Acronym	Title
	VTT_UseCase_DigitalFiberEcosystem	Digital Fiber Ecosystem
Information and communication technologies Digital manufacturing platforms
	Training Platform	"On-the-job" Training and Educational Platform
Information and communication technologies Human Machine Interfaces Augmented reality
	Production line upgrade	Efficient production line upgrades
Information and communication technologies Human Machine Interfaces Virtual reality Comment: VR solution based on combined pointcloud and 3D models Data analytics, including artificial intelligence (AI) Data acquisition Comment: 3D laser scanning techniques System modelling, simulation and forecasting Comment: Digital factory model from 3D laser scanning combined with Virtual Reality models
	Rock crusher upgrades	Upgrade service for mobile rock crushers
Information and communication technologies Human Machine Interfaces Augmented reality Comment: Augmentation of upgrade design solutions on in-situ equipment Virtual reality Comment: VR models based on photogrammetric and laser scanning techniques Data visualisation
	Nebbiolo USE-CASE-Precision-Machine	Machine Fog Node (MFN) Case Study
Information and communication technologies Digital manufacturing platforms Data analytics, including artificial intelligence (AI) Data processing Cloud computing, edge computing Edge computing
	Eclipse Papyrus - Sizing buffers	Eclipse Papyrus Manufacturing: Sizing Stocks Buffers of a Line
Information and communication technologies System modelling, simulation and forecasting
	IMPROVE-337933	An algorithm to identifying the root cause of a fault
Information and communication technologies Data analytics, including artificial intelligence (AI) Cognitive and artificial intelligence (AI) technologies
	ZHQ	Lombardy Champion - Zero-Hours Quality
Information and communication technologies Human Machine Interfaces Comment: Factory level: Rule Editor (Android app), Test Front-End (Android app) Data analytics, including artificial intelligence (AI) Comment: Cloud level: I2Lab Data storage Comment: Cloud level: FIWARE Context Broker + Cygnus extension Data processing Comment: Cloud level: Test Back-end Data acquisition Comment: Field level: Controller/Actuator (HW), TestExecutor (SW) Factory level: FIWARE IDAS Gateway for CPPS Data modelling Comment: (offline): MSEE BIM Toolbox, UAModeler Cognitive and artificial intelligence (AI) technologies Comment: Cloud level: I2Lab Programming Frameworks – Software Development Kits (SDKs) FIWARE Smart Industry Context Information Management and Persistence The Orion Context Broker Generic Enabler Comment: Cloud level The Cygnus Generic Enabler Comment: Cloud level: Cygnus extension
	BeinCPPS_SmartMold	Rhône-Alpes Champion: The Smart Mold
Information and communication technologies Human Machine Interfaces Comment: Data visualization based on FIWARE Wirecloud widgets Data analytics, including artificial intelligence (AI) Data acquisition Comment: The data acquisition is performed by the monitoring core, performed in C. The BBB + Mikrobus + Thermoclicks provide access to the data gathered by the sensors. Sensors: -Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated -Pressure: KISTLER 6190C Data modelling Comment: Usage of the UA-Modeler tool to model the OPC-UA address space, containing the variables describing the acquired data. Programming Frameworks – Software Development Kits (SDKs) FIWARE Smart Industry Context Information Management and Persistence The Orion Context Broker Generic Enabler Programming Languages Comment: The monitoring core has been developed in C. The OPC-UA layer has been developed in Node.js Operating systems Comment: The device platform supports a Linux distribution.
	vf-OS-325696	vfOS - ID3.1 - vf-OS Kernel and FI-WARE Framework(M10)
Information and communication technologies Programming Frameworks – Software Development Kits (SDKs) FIWARE