Projects overview

Sort by


Show more information
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
 Cloud-based HPC processing for knowledge generation in camshaft manufacture Result description TRIMEK developed a metrological module of its M3 software, which enables the use of big data resources for data analysis.
 Data modelling Taxon title Data modelling
 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).
Show more information
Description Integrated simulation/production data management. Production of composite parts using 30% less energy compared to conventional processes.
 Semantic Data Management for Experimental Manufacturing Technologies Result title Semantic Data Management for Experimental Manufacturing Technologies
 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).
Show more information
Comments tools for human activity monitoring and analysis FoF Partnership SRIA Research priorities Domain 5: Human-centric manufacturing RP 5.8 Enhanced Visualisation of complex Manufacturing and Production data
 Prima Power Pilot - Worker Feedback Dashboard - Empowering feedback on work well-being and achievements Result description A web-based solution is proposed for providing data-driven, personal feedback to factory operators.
 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).
Show more information
Comments Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Cognitive and artificial intelligence (AI) technologies - machine
 Data processing Taxon title Data processing
 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).
Show more information
Comments storage Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data processing Technologies and enablers Data collection, storage,
 Digital world model for Human Robot Collaborative operations Result description in a unified data format.
 Data storage Taxon title Data storage
 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).
Show more information
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
 Video - Digital Supply Chain Twin from Bosch Result description This HMI, is an Arrowhead Compliant consumer that consumes and integrates data published by the providers and shows in the same platform the data.
 Launching the Machine Tool: integration of third parties services using the Arrowhead Framework Result description This HMI, is an Arrowhead Compliant consumer that consumes and integrates data published by the providers and shows in the same platform the data.
Show more information
Description Providing robust and customizable data analysis services. Allowing the company staff to actively participate to the maintenance management by an intra factory information service.
Organisation SAVVY DATA SYSTEMS SL
Comments Developed solutions require the acquisition of data over a longer timespan to better train the artificial intellgence and digital twins based methods.
 Data Management Plan - final Result title Data Management Plan - final
 Data Management Plan - preliminary Result description on data management.
 R&I Objective 1.1: Zero-defect and zero-downtime high-precision manufacturing, including predictive quality and non-destructive inspection methods Comments Developed solutions require the acquisition of data over a longer timespan to better train the artificial intellgence and digital twins based methods.
Show more information
Description Platforms providers will be able to flexibly and dynamically connect the Real World with digital Enterprise Systems through common open standards; European ICT SMEs will be growing fast through leadership in data-driven
Organisation INTERNATIONAL DATA SPACES EV
Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
 Wireless data acquisition from automated workplaces based on RFID technology Result title Wireless data acquisition from automated workplaces based on RFID technology
 R&I Objective 2.6: Predictive Manufacturing capabilities & Logistics of the future Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
 R&I Objective 3.4: Secure communication and IP management for smart factories in dynamic value networks Comments There are additional targets here with respect to what is reported in objective 1.6: Data sharing with data sovereignty. Data Brokering. Data Analytics.
Show more information
Description , enriching the manufacturing engineering process with on-line data, and simulating and optimizing the production process with the vision to support it in real-time.
Comments As data can have huge volume, in the future highways not just for data but also for bringing algorithms/models to the data become more and more important.
 Metadata filtering for user-friendly centralized biometric authentication Result title Metadata filtering for user-friendly centralized biometric authentication
 Improving quality control and maintenance at manufacturing SMEs using big data analytics Result description This new solution models the behaviour of a system through a reverse engineering from the company’s old data to new advanced data.
 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
 R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks Comments As data can have huge volume, in the future highways not just for data but also for bringing algorithms/models to the data become more and more important.
Show more information
Description IQONIC will therefore comprise new hardware and software components interfaced with the current facilities through internet of things and data-management platforms, while being orchestrated through eight
 Data Management Plan Result title Data Management Plan
 Automatic Data Collection Result description Prototype of the IoT data acquisition framework of IQONIC
Show more information
 Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems Result title Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems
 Analytics toolbox specifications Result description This task will focus on the definition of an agnostic data management platform that will enable the acquisition of information independently of its virtual or physical source/format.
Show more information
Description Provide the RAMI 4.0 and IDS based BOOST 4.0 open EU framework and governance model, for both services and data assets.
Organisation INTERNATIONAL DATA SPACES EV
 A DIN Spec 91345 RAMI 4.0 Compliant Data Pipelining Model: An Approach to Support Data Understanding and Data Acquisition in Smart Manufacturing Environments Result title A DIN Spec 91345 RAMI 4.0 Compliant Data Pipelining Model: An Approach to Support Data Understanding and Data Acquisition in Smart Manufacturing Environments
 BOOST 4.0 Reference Architecture Specification v1 Result description Big data framework
 BOOST 4.0 Reference Architecture Specification v2 Result description Big data framework
Show more information
 Cloud-based data management system - Public Version Result title Cloud-based data management system - Public Version
 Design of the monitoring and control system for each use case - Public Version Result description -Integration approach of the water and emissions sensors with the supervisory control and data acquisition system of each use caseThis is the public version of D3.1.
Show more information
Description Develop computational modelling toolbox for product and process design, non-destructive diagnostic tools for production monitoring, and data solution for seamless integration of the whole supply-chain.
 Very High Cycle Fatigue Data Acquisition Using High-Accuracy Ultrasonic Fatigue Testing Equipment Result title Very High Cycle Fatigue Data Acquisition Using High-Accuracy Ultrasonic Fatigue Testing Equipment
Show more information
Description In particular, to conduct advanced field trials of the more representative and innovative data-driven material, production and installation flows that implicate manufacturing across 4 prominent industries
 Data and ethics management plan Result title Data and ethics management plan
 UC 3.2: Long term SHM of wooden constructions using IoT and embedded AI Result description Validation of 5G IoT SHM data acquisition solutions for long preservation and reuse of wooden elements.
Show more information
 Data Acquisition for the Arrowhead Framework Result title Data Acquisition for the Arrowhead Framework
 Video - Digital Supply Chain Twin from Bosch Result description This HMI, is an Arrowhead Compliant consumer that consumes and integrates data published by the providers and shows in the same platform the data.
 Launching the Machine Tool: integration of third parties services using the Arrowhead Framework Result description This HMI, is an Arrowhead Compliant consumer that consumes and integrates data published by the providers and shows in the same platform the data.
Show more information
Description These generate large amounts of data, which can be used for analysis and fault prevention, as well as the optimisation of the quality of manufacturing processes and products.
Organisation INTERNATIONAL DATA SPACES EV
 A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0 Result title A Hybrid Architecture for the Deployment of a Data Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0
 Design and development of in-line measurement systems for highly reflective surfaces Result description Taraz Fringe Projection System (IM1) offers high accuracy and fast data acquisition, ideal for industrial 3D measurements.
Show more information
 Deep multi-sensorial data analysis for production monitoring in hard metal industry Result title Deep multi-sensorial data analysis for production monitoring in hard metal industry
 "RECLAIM Reliability analysis tool #3" Result description Contains the final version of the tool supporting the characterisation of production systems acquisition of machines failure data and calculation of reliability metrics
Show more information
Description The reliability of data will be checked in two layers: in real time and based on historical and statistical analysis of the data streams (InterQ-Data module).
 Data Management Plan Result title Data Management Plan
 Data Management Plan update Result title Data Management Plan
 Sensorised tool holder for force measurement in grinding processes with high sensitive bending moment signals Result description acquisition (5 kHz) signal pre-processing, fast data transfer with time-stamps • Interfaces to collect synchronous machine-date together with sensor data • Time-Data basis for synchronized
 Historical & Statistical data filtering and analysis software Result acronym KASEM Data Quality
Show more information
Description Cyber-defence mechanisms for sophisticated poisoning and evasion attacks against deep neural networks operating over industrial data.
 Security and Data Governance Infrastructure-Initial version Result title Security and Data Governance Infrastructure-Initial version
 Decentralized Reliability for Industrial Data and Distributed Analytics-Initial version Result description Prototype implementation of the decentralized data reliability infrastructure of task T31 Initial version
Show more information
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
 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).
Show more information
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
 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).
 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
Show more information
Description convenient periods and avoid unexpected breakdowns Operation: Managing energy as a production resource and reduce its consumption Product reliability: Providing the machine tool builder with real data
 Continuous Data recording of internal and external data in the FAGOR CNC Result title Continuous Data recording of internal and external data in the FAGOR CNC Result acronym Data logger (FAGOR CNC)
 Fleet-wide monitoring and management services for Machine Tool Result description These indicators are periodically computed depending on the acquisition process and data flow.
 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).
Show more information
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
 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).
Show more information
 Cloud-based molecular simulation for industrial chemical engineering applications Result description Typically, the chemical industry measures the required data experimentally.
 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).