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Description Current shop floor integration standards, such as ISA 95, OAGIS, OPC Unified Architecture and MTConnect will be used as starting points.
 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 CloudFlow will enable the remote use of computational services distributed on the cloud, seamlessly integrating these within established engineering design workflows and standards.
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 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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Description reference for the Industry 4.0 market: European CPS/IOT Open Digital Platforms providers will be able to flexibly and dynamically connect the Real World with digital Enterprise Systems through common open standards
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
 Periodic Reporting for period 2 - MIDIH (Manufacturing Industry Digital Innovation Hubs) Result description MIDIH wanted to provide a European CPS/IOT Open Digital Platform connecting the Real World with digital Enterprise Systems through common open standards.
 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.
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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.
 Standards Taxon title Standards
 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 . - In many cases information infrastructure fails to successfully aggregate and manage data from factory-wide sensor networks as well as from various data sources such as MES or ERP, analyse such data
Comments ICT solutions for next generation data storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies
 Operator Support Result description This information consists by historical data from similar breakdowns as well as current data from applicable sensors.
 Standards Taxon title Standards
 Domain 5: Human-centric manufacturing Taxon description At the core of future manufacturing is the information generated in the factory environment, which needs to be managed and adequately transformed from the data level to the knowledge level.
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Comments Interoperability (ICT) Knowledge-workers and operators Technologies and enablers System modelling - digital twins, simulation Technologies and enablers Engineering tools Standards Standards and standardisation
 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.
 Standards Taxon title Standards
 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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Comments platforms Technologies and enablers Data spaces Information and communication technologies Significant innovations and achievements Significant innovations and lessons learned, training aspects Standards
 GKN DEMO Result description The new approach has a basis in collecting machining data (MAS), geometry data (MES), selecting the best fitting segments (ISP), collecting data from tack welding (ATW) and, if possible, from full seam
 Standards Taxon title Standards
 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 devices to share data in a common format.
Comments , simulation Technologies and enablers Engineering tools Standards Standards and standardisation Domain 4 - Collaborative and Mobile Enterprises Impact Workshop D4-Area 1: Networked Factories Impact
 FoF-EMon Result description Data acquisition for higher monitoring systems, e.g. MES.
 Standards Taxon title Standards
 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 operators Technologies and enablers System modelling - digital twins, simulation Technologies and enablers Engineering tools Standards Standards and standardisation Domain 4 - Collaborative
 Standards Taxon title Standards
 Domain 4: Collaborative and mobile enterprises Taxon description Some outstanding challenges which future manufacturing enterprises will have to encounter through innovative ICT are the following: • Facilitating secure data exchange for collaboration in design, engineering
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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
 RP 6.3 Collaborative product-service systems design environments for SME involvement Taxon description API, data standards).
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Description the Data acquisition modules to collect the data from the in-mould cavity pressure and temperature sensors as well to collect data from the injection machine PLC; Thanks to the data acquisition modules
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Standards Standards and standardisation
 Integrated data acquistion system for Plastic Injection Moulding machines and moulds Result title Integrated data acquistion system for Plastic Injection Moulding machines and moulds Result description d) It enables to acquire the following data per cycle:  • Mould/cavity data: cavity pressure and temperature  • Machine data: screw position, machine pressure, cycle time &ensp
 Standards Taxon title Standards
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon description would make consumption and processing of device data faster and more efficient.
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Comments Knowledge-workers and operators Technologies and enablers Standards Standards and standardisation Domain 5 - Human-centred Manufacturing Impact Workshop D5-Area 2: Human Robot Interaction Impact
 Specifications of multimodal data communication Result title Specifications of multimodal data communication Result description A document on multimodal data communication for the consortium and others
 Standards Taxon title Standards
 Data acquisition Taxon description   Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages So, as a summary, Data acquisition
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 Big Data Analysis to Ease Interconnectivity in Industry 4.0—A Smart Factory Perspective Result title Big Data Analysis to Ease Interconnectivity in Industry 4.0—A Smart Factory Perspective
 Performance Metrics and Monitoring Framework Specifications Result description Clear definitions and mathematical models will be provided for each KPI based on existing standards and commonly excepted definitions in the automation domain.
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Description OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured
Organisation Advanced data processing GmbH
Comments Digital, Virtual and Resource-efficient Factories project_id_EC super_admin project_rcn_EC super_admin topic_EC super_admin FoF-08-2015 call_EC super_admin H2020-FoF-2015 deliverableType_EC super_admin Data
 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 scheduling optimisation system, applied to three industrial businesses in manufacturing and maintenance repair and overhaul (MRO) which uses sensor technology, simulation in the form of a digital twin, data
 Standards Taxon title Standards
 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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Comments Standards and standardisation OPC-UA Standards and standardisation Standards according to SDOs Standards Data acquisition Technologies and enablers Data collection, storage, analytics, processing and
 D5.1a Pilot site set up and data collection Result title D5.1a Pilot site set up and data collection
 D2.1 Reference architecture for Wireless Mobile CPPS Connectivity & Data Management Result description & Data Management
 D2.5 Wireless Mobile CPPS Connectivity & Data Management lessons learned Result description & Data Management
 Standards Taxon title Standards
 Data acquisition Taxon description   Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages So, as a summary, Data acquisition
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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
 RP 6.10 Customer focused products quality assessment standards and tools Taxon title RP 6.10 Customer focused products quality assessment standards and tools
 RP 6.3 Collaborative product-service systems design environments for SME involvement Taxon description API, data standards).
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Comments Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Cognitive and artificial intelligence (AI) technologies - machine
 Standards Taxon title Standards
 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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Description The data collected is analysed to detect complex events that trigger automated actions.
Comments Data Analytics and IoT/CPS modules [SAG] will seek to comply to existing manufacturing standards and possibly test their effectiveness Field Device Manufacturing system levels Manufacturing system levels
 D4.2: DATA ANALYTICS TOOLKIT Result title D4.2: DATA ANALYTICS TOOLKIT
 D4.2 Data Analytics Toolkit Result description Data Analytics Toolkit
 Standards Taxon title Standards
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon description getting a holistic overview of KPIs computed on collected data.

ENCOMPASS | ENgineering COMPASS

01-10-2016

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29-02-2020

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Description (for inspection and post-processing) Between all stages and the data management system with the integrated design decision support (IDDS) system By considering the entire AM process chain, rather than
Comments acquisition Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Data storage Technologies and enablers Data collection, storage
 Standards Taxon title Standards
 Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
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Comments Standards Standards and standardisation Relevant standards / data models / ontologies that are identified so far: - Product life-cycle management: O-LM – IoT Product Life-cycle Management (PLM), ONTO-PDM
 Data Analytics Result title Data Analytics
 Semantic Modelling of Manufacturing Collaboration Assets Result description A report designing semantic data integration mechanisms
 Standards Taxon title Standards
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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
 Standards Guide, version 1 Result title Standards Guide, version 1 Result description Involved tasks: T6.1, T6.2 Standards Guide, version 1
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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 Engineering tools Standards Standards and standardisation Business model aspects of digital platform deployment Business model aspects Business models
 Open data management plan Result title Open data management plan
 Open data repository report Result description Open data repository report
 Standards Taxon title Standards
 Data storage Taxon description Data storage is the recording (storing) of information (data) in a storage medium.
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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
 Periodic Reporting for period 2 - SERENA (VerSatilE plug-and-play platform enabling remote pREdictive mainteNAnce) Result description The number of sensors and the amount of data gathered on...
 RP 5.8 Enhanced Visualisation of complex Manufacturing and Production data Taxon description Furthermore, new UI standards such as HTML5, next generation graphics rendering algorithms, and mobile apps for workers that use data-push mechanism to display KPIs and exception conditions should be developed
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Description Specific attention will be devoted to create trustable data sharing mechanisms, preserving the confidentiality of business-critical data.
 Data Policy Framework. Result title Data Policy Framework. Result description This public deliverable will report the work of Task 25 It will contain the data policy framework of DigiPrime project and will be the reference document for the data management storage traceability and
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Description The platform will allow auditability of sources, traceability, verification of sources, still with private control of documentation and compliance to data retention policies.
 Data Management Plan Result title Data Management Plan
 Process certification Result description Apply existing standards or define new standards to certify welding and properties of complex shaped 3D components of metallic polymeric and hybrid metallicpolymeric materialsUpdate M36
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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 These identified Standards refers mainly to ICT-related topics such as cyber security, data communication/exchange protocols, data mining and control SW.
 Data Management Plan - final Result title Data Management Plan - final
 Data Management Plan - preliminary Result description on data management.
 Standards Taxon title Standards Comments These identified Standards refers mainly to ICT-related topics such as cyber security, data communication/exchange protocols, data mining and control SW.
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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 Standards Standards and standardisation .
 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.
 Standards Taxon title Standards
 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