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Description open source platforms federation, integrated from state-of-the-art R&I advances in the fields of Internet of Things, Future Internet and CPS / Smart Systems and able to bi-directionally interoperate data
Comments Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data storage Technologies and enablers Data collection, storage, analytics,
 Lombardy Champion - Zero-Hours Quality Result description Orion Context Broker is the middleware that provides publish/subscribe services using the NGSI standard, while Cosmos and DyCEP are generic Big Data Processing engines that run BEinCPPS-specific data analytics
 Data analytics Taxon title Data analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Description This is part of the new concept of introducing seamless automation and network solutions as well as enhancing the transparency of data, their consistence and overall efficiency.
Organisation SAVVY DATA SYSTEMS SL
 Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture Result title Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture
 List of Demonstrators Result description Analytics, Semiconductor Data Lake (SYSTEMA, IFD) -        Fab robotization (ST ROUSSET) -        Factory Supervision for variability
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Description Fortissimo 2 will drive the uptake of advanced modelling, simulation and data analytics by European engineering and manufacturing SMEs and mid-caps.
Comments processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data modelling Technologies and enablers Data collection, storage
 Near Real-time Analysis of Airframe Certification Test Data Result title Near Real-time Analysis of Airframe Certification Test Data
 Advanced, cloud-based HPC simulation in the foundry business Result description Using historical data from previous production runs was seen as the key to this problem, but this entails data analytics requiring computing resources far in excess of those available to foundries or consultants
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 Data modelling Taxon description Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
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Description The OPTIMISED environment will use semantically enriched process modelling, big-data generation, capture and perform analytics to effectively support planning specialists, manufacturing engineers, team
Organisation Advanced data processing GmbH
Comments collection, storage, analytics, processing and AI Technologies and enablers Information and communication technologies System modelling - digital twins, simulation Technologies and enablers Engineering
 Periodic Reporting for period 2 - OPTIMISED (Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data) Result title Periodic Reporting for period 2 - OPTIMISED (Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data) Result description analytics...
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 Domain 3: Digital, virtual and resource-efficient factories Taxon description granularity, zoom in and out functionalities, and real-time data acquisition from all the factory resources (i.e. assets, machines, workers and objects).
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Description Many Industrial Data Platforms based on IOT Data in Motion and Analytics Data at Rest have been recently developed to implement effective Industry 4.0 pilots (I4MS Phase III platforms).
Organisation SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED
 Data Management Plan - Initial version Result title Data Management Plan - Initial version
 Idss For Predictive Quality Assurance Result description Such predictive quality system performs cause-effect analysis, big data monitoring and analytics, and effective decision-making in real time.
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Description On the other hand, monitoring of the machine empowered by Big Data and Cloud technologies allows analysing the real process including vibration and process instability issues.
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Digital manufacturing platforms
 Lab demo 3: MC-Monitor + Analytics Result title Lab demo 3: MC-Monitor + Analytics
 MC-SUITE application based on six different modules ready to reduce the gap between the simulated and the real process Result description - Objective 5: To create new services based on Big Data. MC-Analytics is a platform to treat the information of the cloud for predictive maintenance and productivity improvement.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Description The data collected is analysed to detect complex events that trigger automated actions.
Comments Data analytics and Complex Event Processing (CEP) modules [SAG] mainly at lower levers.
 D4.2: DATA ANALYTICS TOOLKIT Result title D4.2: DATA ANALYTICS TOOLKIT
 D4.2 Data Analytics Toolkit Result description Data Analytics Toolkit
 Data analytics Taxon title Data analytics Comments Data analytics and Complex Event Processing (CEP) modules [SAG] mainly at lower levers.
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Collaborative and decentralized
 Distributed Data Analytics Infrastructure - M12 release Result title Distributed Data Analytics Infrastructure - M12 release Result description Based on the outcomes of task T3.4, this deliverable is the prototype implementation of a data analytics infrastructure over the edge nodes of the edge computing architecture.
 Distributed Data Analytics Infrastructure - M24 release Result description Based on the outcomes of task T3.4, this deliverable is the prototype implementation of a data analytics infrastructure over the edge nodes of the edge computing architecture.
 Data analytics Taxon title Data analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Comments analytics from heterogeneous sources.
 Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics Result title Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics
 Data Management Plan (DMP) Result description The plan will describe ways to manage all research data, and metadata, during and after the project duration.
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI Comments analytics from heterogeneous sources.
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Description Software Development Kit (OAK) for Factories of the Future that aims to be the reference system software for collaborative manufacturing and logistics processes including its associated resources and data
Comments , analytics, processing and AI Information and communication technologies Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication
 vfOS - ID5.4a - Data Analytics(M18) Result title vfOS - ID5.4a - Data Analytics(M18) Result description The deliverable represents the functionalities of the data analytics.
 Data analytics Taxon title Data analytics
 RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks Taxon description Furthermore, this Research Priority will open up business opportunities for SMEs to configure and sell analytics services on large enterprise data through the Manufacturing App Store.
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Description QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for
Organisation INTERNATIONAL DATA SPACES EV
Comments collection, storage, analytics, processing and AI Information and communication technologies Data analytics Technologies and enablers Data collection, storage, analytics, processing and AI Information
 BigData and Analytics Infrastructure (Version 1) Result title BigData and Analytics Infrastructure (Version 1) Result description Prototype implementation of the BigData infrastructure that will be support data collection, storage and analytics
 Data analytics Taxon title Data analytics
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Description The advanced analytics and reconfiguration capabilities to be developed in SAFIRE will be based on mastering the big data challenges associated with manufacturing (sensor and process data), enterprise
Comments big-data analytics.
 Open Data Use Plan Result title Open Data Use Plan
 Optimisation Metrics and Benchmarking Result description Defines the real-time constraints to the data analytics, optimisation and reconfiguration of each business case.
 Data analytics Taxon title Data analytics
 Data ownership - data governance Taxon description (Trade Secrets, data base directive) Transparency: Can users monitor/control the sharing of data with third parties? Are there “expiration dates” for data use?
 Data collection, storage, analytics, processing and AI Comments big-data analytics.
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Description Cheaper and more powerful sensors, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition.
Organisation SAVVY DATA SYSTEMS SL
Comments Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data modelling Technologies and enablers Data collection, storage, analytics
 Open data management plan Result title Open data management plan
 Periodic Reporting for period 2 - PreCoM (Predictive Cognitive Maintenance Decision Support System) Result description Cheaper and more powerful sensors, algorithms for specific functions, intelligence, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition
 Data analytics Taxon title Data analytics
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Comments with the participation in the Open Research Data (ORD) pilot.
 SatisFactory Visual Analytics Tool Result title SatisFactory Visual Analytics Tool Result acronym Visual Analytics Tool
 iDSS-Decision Support System for Incident Detection and Maintenance in Industries Result description Analytics Module: This module is responsible for correlating, combining and analysing heterogeneous data acquired from the smart sensor network in order to evaluate the shop floor and production operations
 Manual data acquisition Taxon title Manual data acquisition
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
 Business model aspects of digital platform deployment Comments with the participation in the Open Research Data (ORD) pilot.
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Description cross-domain analytics and a Decision Support System.
Comments Data analytics Addressed processes Use of data analytics to provide automated knowledge extraction from big data generated in manufacturing in order to reduce factory and field failures and detect and
 Big data mining and analytics tools I Result title Big data mining and analytics tools I Result description A public software deliverable, led by Fraunhofer, featuring the Big data mining and analytics tools
 Big data mining and analytics tools II Result title Big data mining and analytics tools I Result description A public software deliverable, led by Fraunhofer, featuring the Big data mining and analytics tools
 Data analytics Taxon title Data analytics
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Description UPTIME will enable manufacturing companies to reach Gartner's level 4 of data analytics maturity (optimized decision-making) in order to improve physically-based models and to synchronise maintenance
Organisation SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED
Comments processing, e-maintenance, proactive computing and industrial data analytics.
 Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing Result title Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing
 MAILLIS use case: Cold Rolling Mill Result description It is expected that MAILLIS will have a machine that reports its current health status along with the appropriate data analytics.
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 Data visualisation Taxon description ://www.visual-analytics.eu/faq
 Significant innovations and achievements Comments processing, e-maintenance, proactive computing and industrial data analytics.
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Description data processing remotely, advanced IoT system and smart devices for data collection and monitoring of machinery conditions, artificial intelligence methods for predictive maintenance (data analytics
Comments Data analytics Addressed processes The SERENA porject considers the support of data analytics functionalities for acquiring certainportion of sensor data to feed the machine learning algorithms
 Data Management Plan Result title Data Management Plan
 White goods use case Result description Data Visualization and Analytics were provided back to operators via the SERENA platform.
 Data analytics Taxon title Data analytics
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Description The core partners of CloudFlow (eu-cloudflow.eu) and cloudSME (cloudsme.eu) are joining forces to leverage factory data with cloud-based engineering tools: paving the way toward manufacturing analytics
Comments and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs.
 Optimizing efficiency of truck components manufacturing processes by data analytics Result title Optimizing efficiency of truck components manufacturing processes by data analytics Result description We will collect data from the production line and provide cloud analytics and optimization to achieve this.
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
 Complex structures, geometries and scale Comments and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs.