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Description about the development of the full demonstrator of DiCiM, a set of integrated digital solutions that makes use of Internet of Things (IoT), Machine Learning (ML) based Artificial Intelligence (AI), Big Data
 Initial data management plan Result title Initial data management plan Result description project what data will be collected processed and generated which methodology standards will be applied whether data will be sharedmade open access and how data will be curated preserved including after
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Description S&FT, Data and Knowledge - This challenge addresses: Big Data and Data Analytics; Ontologies definition; Relevant knowledge capture and reuse, also for training and education http://www.pathfinderproject.eu
 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 support and industrial social networking based on an Augmented Reality tool for the Human-Automation Interface, an industrial social networking platform and methods for knowledge capturing and social analytics
 Enabling Knowledge Transfer through Analytics in Industrial Social Networks Result title Enabling Knowledge Transfer through Analytics in Industrial Social Networks
 Augmented Reality (AR) to support the integration of people with disabilities in the production line Result description The objective of the authoring tool is to facilitate the process of data ingestion and customization of AR instructions.
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Description Moreover, Data Analytics will provide a continuous refinement by acquiring process knowledge to assist in the manufacturing of new metal components, improving right-first-time production by adopting a
Comments R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories
 AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing Result title AutomationML for Data Exchange in the Robotic Process of Metal Additive Manufacturing
 Periodic Reporting for period 2 - INTEGRADDE (Intelligent data-driven pipeline for the manufacturing of certified metal parts through Direct Energy Deposition processes) Result description INTEGRADDE Project stands for Intelligent data-driven pipeline for manufacturing metal parts through Direct Energy Deposition process.
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Description A specific part of the platform takes into consideration a series of rules and will support project managers in the process of managing data workflow and integration 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
 Intelligent data management for a seamless and robust data availability Result title Intelligent data management for a seamless and robust data availability Result description It maps relational data transparently into ice.NET (current PDTec product) model with legacy data within ice.NET without replication and connects ice.NET to Master Data Management solutions.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 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 storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Digital manufacturing platforms
 Machine Availability Monitoring Module Result description Afterwards, an information fusion technique processes the monitoring data in order to feed the process planning service with the status, specifications, and availability time windows of machine tools.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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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 Digital manufacturing platforms
 Semantic Data Model & Repository Result title Semantic Data Model & Repository
 Short-term Scheduling App Result description Performance analytics
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 5.2 Advanced Information Models for knowledge creation and learning Taxon description Future ICT research should focus on context-aware information modelling on data captured from the shop floor and enterprise backend systems.
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Description Des-MOLD will uses as a main source, past empirical industrial experiences and simulation data to optimize, at the design time, the geometries of the pieces and moulds according to the desired features
Comments highly standardized molds to customized products with small batches, it is possible to construct an intelligent knowledge-based system that uses as a main source, past empirical experiences and simulation data
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title 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.
 Customised products Comments highly standardized molds to customized products with small batches, it is possible to construct an intelligent knowledge-based system that uses as a main source, past empirical experiences and simulation data
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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 Digital manufacturing platforms
 Reference data model Result title Reference data model Result description Reference data model to support technically-oriented business processes, based on PLM, in industrial enterprises, especially SME. The data model is formulated as a modular ontology in OWL.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon description ICT solutions for technical and historical data storage and knowledge mining for factory level operations are required that will analyse and process the data collected from an integration of factory information
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Description A distributed web-based repository will be implemented in order to connect the existing information systems - A set of lightweight web services will be developed for a smart exchange of the common data
Comments Information and communication technologies Technologies and enablers ICT solutions for next generation data storage and information mining Technologies and enablers Data storage Data collection, storage
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Comments Demonstration and upscaling (UPSCALE) UPSCALE - Assessment of technical readiness of both equipment and process for industrial use Success Factors Demonstration and upscaling (UPSCALE) UPSCALE - Address data
 Production System Opportunistic Maintenance Planning Result description Data gathering from sensorial data: this module receives in input data from the multiple sensors implemented at shop floor level to observe the degradation behaviour of the critical components in the system
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title 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 From a technical point of view, the project will focus on: data (exchange and integration); services (adaptation, interoperability); and workflows (integration, co-operation).
Comments . - Management of data and information is archived in a standard format (STEP, ISO 10303), reducing product costs and preserving existing jobs. - Accessibility for services from any point and any device
 Product Lifecycle and Engineering Data Management (PLM) on the Cloud Result title Product Lifecycle and Engineering Data Management (PLM) on the Cloud Result description controlled data sets and an easy and fast visual inspection.
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title 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.
 Number of participating SMEs Comments . - Management of data and information is archived in a standard format (STEP, ISO 10303), reducing product costs and preserving existing jobs. - Accessibility for services from any point and any device
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Comments visualisation Technologies and enablers Human Machine Interfaces Information and communication technologies Data acquisition Technologies and enablers Data collection, storage, analytics, processing
 Collaborative management of inspection results in power plant turbines Result description Data and inspection annotations directly in the 3D model.
 Data acquisition Taxon title Data acquisition
 Data visualisation Taxon description ://www.visual-analytics.eu/faq
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Description process accurate.Within this project the goal is to develop an adaptive laser micromachining system, based on ultrashort pulsed laser ablation and a novel depth measurement sensor, together with advanced data
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Significant innovations and achievements
 Revision of the automatic point cloud analysis software for defect detection and evaluation with real data Result title Revision of the automatic point cloud analysis software for defect detection and evaluation with real data
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 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 WORKERS" (FACTS4WORKERS), therefore a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven
Comments , analytics, processing and AI Information and communication technologies Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication
 Data Management Plan Result title Data Management Plan Result description Data Management Plan
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
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Comments The field data contain valuable information about the usage and quality of individual devices and their subsystems. This information needs to be extracted through data analytics.
 Taking Advantage of Data Generated by Products: Trends, Opportunities and Challenges Result title Taking Advantage of Data Generated by Products: Trends, Opportunities and Challenges
 FALCON semantic concept definition document Result description In this report domain boundaries for each application are defined, and all products, processes, data sources and resources are identified.
 Data acquisition Taxon title Data acquisition
 RP 6.5 Product-Service Simulation for Sustainability Impact Taxon description what-if analyses leveraging also visualization techniques and multi-criteria optimization using mock-ups should as well as the power of cloud computing’s IaaS offering to perform outsourced simulation and analytics
 RP 6.10 Customer focused products quality assessment standards and tools Comments The field data contain valuable information about the usage and quality of individual devices and their subsystems. This information needs to be extracted through data analytics.
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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 Domain 4 - Collaborative and Mobile
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 2.10 Adaptive Process Automation and Control for a sensing shop floor Taxon description These systems should include software capable of monitoring KPIs and lifecycle parameters as well as data processing and data-mining technologies capable of extracting the knowledge and model of machine
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Comments and communication technologies Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data collection, storage, analytics
 Online Data Collection and Modeling for the Adaptive Production of Composite Pipes & Vessels Result title Online Data Collection and Modeling for the Adaptive Production of Composite Pipes & Vessels
 LCA Technical Report and Sustainability Product Declaration Result description Data quality requirements and comparison criteria of the Life Cycle Inventory phase will be discussed as well, with a focus on collected primary data and their representativeness for the considered system
 Data analytics Taxon title Data analytics
 RP 6.3 Collaborative product-service systems design environments for SME involvement Taxon description API, data standards).
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Comments has developed an oof line system based on data knowledge.
 ComMUnion dataset for benchmarking Result description Public dataset with data, measurements and routings for benchmarking purposes.
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title 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.
 R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks Comments has developed an oof line system based on data knowledge.
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Comments Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data modelling Technologies and enablers Data collection, storage, analytics
 Data analytics Taxon title Data analytics
 Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.