USE CASE OVERVIEW
OUR USE CASES MAKE IT HAPPEN!
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- Adavaneo–IDS broker connector
- Broker repository and indexing
- Identity access management and clearing house
Enables railway suppliers to identify existing data assets of shunting switches for new value added
Individual cloud-based data management marketplace to access and share railway switches
- Railway infrastructure companies
- Signal construction company
Problem Solved
In this application scenario, Advaneo serves as a broker that arranges the secure exchange of the respective data between provider and user via IDS structures. On a virtual marketplace, the “Advaneo Data marketplace”, comprehensive metadata from different sources are available on the supply side. Other users of the marketplace can purchase this information to gain the latest insights or to develop new business models.
Data sovereignty has first priority in all processes: exchange is only possible via the secured data space of IDS that safeguards the processes for the partners and simultaneously guarantees adherence to the distinct rules of the game. All participants in the data exchange are identified and certified thanks to IDS.
Solution
Advaneo advises and accompanies companies in the field of digital transformation. One focal point for European railway companies is on questions of standardisation and digitisation in infrastructure technology. This is all about guaranteeing the highest possible data security to avoid data misuse.
Deutsche Bahn, for example, equips tens of thousands of railway-track switches with special sensors that provide the company with important information about the condition of the points drives and therefore enable predictive maintenance. These data are also of great interest to other companies so they could even be traded commercially.
BROKER FOR A SECURE DATA EXCHANGE ON A VIRTUAL DATA MARKET PLACE
ADVANEO
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Broker
- IDS Base Connector
- Clearing & Billing
- Vocabulary
Merging users and providers
Digital market place for Additive Manufacturing
Companies can handle complete processes via a central platform
- Fraunhofer Society
- CISCO Systems International
- INTERNATIONAL DATA SPACES
- The Manufacturing
- Technology Centre Limited LBG
Problem Solved
AMable creates a digital market place with the help of IDS components where providers and users can come together. All participants can benefit from this: providers benefit by getting new orders and better capacity utilization, and users benefit by having a comprehensive range of offerings that enables them to order all the services they need via one central platform. In this way, the participating companies not only receive high-quality products but also benefit from time, price and cost advantages. By using IDS technology, it is possible to protect intellectual property rights and to guarantee your own data sovereignty when using the digital market place.
Solution
3D printing techniques offer many advantages to companies. Because behind the term 3D printing there are a number of additive manufacturing technologies which can improve structures and processes. So far, it has mainly been large companies which have been able to benefit from the innovative processes. But it is small and medium-sized companies, in particular, that have problems implementing their ideas with respect to Additive Manufacturing. AMable wants to pave the way to industrial 3D printing for these companies and deliver support from the development process of the product right through to the finished printout. This is intended to put small and medium-sized companies in a position to produce single parts or small series made of plastic or metal using these new technologies.
ADDITIVE MANUFACTURING 3D PRINTING
AMABLE
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Base Connector
- Existing logistics systems
- Oracle APEX application (Audi)
- Web service developed by Bosch
Raising transparency along the supply chain in case of risks
Faster introduction of measures ensuring supply and therefore avoiding bottlenecks
- Bosch/Audi
- Fraunhofer IML, ISST, IESE
- Experts from logistics and IT at Bosch & Audi
Problem Solved
This application scenario offers solutions for the automotive industry but is also interesting for other industries. Compared to classic cloud solutions, INTERNATIONAL DATA SPACES that serves as a data interface to all participating companies provides a wide range of benefits. IDS creates the technical basis for sovereign data exchange. Many of the data that must be exchanged when such risk events occur are so sensitive that companies have not been passing them on automatically to their partners until now.
Thanks to IDS, in future, the companies – as data owners – will retain control over these sensitive data that can be stored and exchanged decentrally. The participants attach defined terms of use to their information and thus control how the data
consumer can use the
information.
Solution
Hurricanes, earthquakes, bankrupt supplier companies: hazards like these often lead to breakdowns along the supply chain between suppliers, transporters and manufacturers. This can seriously disrupt the production of goods. However, when such risk events occur, communication between the participants is often inefficient, incurring high costs for time and resources. The “Collaborative Supply Chain Risk Management” use case helps companies to exchange information and sensitive data quickly and securely in order to avoid bottlenecks like this. The companies involved work more closely together and increase the transparency of the supply chain in the case of risks. Moreover, automated risk reports make it possible for the companies to react more effectively and efficiently.
COLLABORATIVE SUPPLY CHAIN RISK MANAGEMENT
BOSCH
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- Identity management
- Installation and support of the app store
Data provision by implementing all relevant industry records
Secure and transparent data exchange beyond company borders
Practical proof for the operability of the IDS Connector
- DXC Technology
- Fujitsu
- iTiZZiMO
Problem Solved
The technological start-up Cybus provides a software solution for Industry 4.0 that guarantees secure and simple distribution and use of industry data in the manufacturing environment. For this purpose, Cybus has developed the Sandbox where the pre-installed software solution makes it as simple as possible for companies to access INTERNATIONAL DATA SPACES and thus implement secure data exchange. By means of the Sandbox, manufacturing companies can test their own use cases under real conditions – without having to build their own connector. This solution by Cybus is ideal for all industrial companies that want to exchange data via an IDS-compliant connector in order to benefit from digitisation. IDS provides a guideline and a secure basis for doing business with such data.
Solution
Manufacturing in the manufacturing industry, particularly discrete manufacturing, is largely automated, however, networking between machines belonging to different manufacturers in terms of Industry 4.0 rarely exists. To get into a position where companies can manage their machinery better and to increase productivity, they need more transparency for their own equipment and more control over any digital access external service providers have to their machines. To optimise their control over machines, many companies are working on their own software solutions: but programs that work on a small scale often cannot be implemented on a large scale. The topic of data security often falls by the wayside. For clarification: the biggest things blocking the roll-out of Industry 4.0 prototypes are the topics of data security and data governance.
SANDBOX IDS CONNECTOR
CYBUS
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- Exclusively a combination of open-source technologies
Variety, volatility, volume, speed and ubiquity
- All companies that require mass raw data
Problem Solved
This architecture is built so that anybody who wants to do something with the data at a later point in time can correlate them completely freely. For example, network agencies that want to decide automatically and within seconds which field is to be fed by a local battery or wide area network. In future, this topic could be relevant for micro service providers and such providers in the Internet who build their business models on freely accessible raw data.
In the Industrial Internet of Things (IIoT) no company can depict the entire value-added chain on its own. This is only possible in collaboration with the best-in-class players that are part of INTERNATIONAL DATA SPACES.
Solution
Data Ahead developed out of a system company for measurement, control and automation technology to become a specific provider of industrial mass data logistics. The company provides system integrators and application companies with specifically configured gateways, edge-computing and high-speed architectures. This logistics company for industrial data provides an innovative access architecture for the data management of renewable energy in the application scenario for “Renewable Energy Data Management – Readiness for Multi Stakeholding”: a search engine for mass raw data that simultaneously guarantees variety, volatility, volume, speed and ubiquity. The architecture includes more than 2,500 edge devices and ensures users access to raw data in original granularity without compression or archiving – in less than a second.
RENEWABLE ENERGY DATA MANAGEMENT – READINESS FOR MULTI STAKEHOLDING
DATA AHEAD
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- In addition to DATATRON (Smart Edge Computing), various infrastructure technologies are deployed, such as the Docker Container. This enables the flexible implementation of the solution at the users’ site. The data transformation as well as rights and role administration were implemented with Open Source technology based on PostgreSQL and Scala Akka Streams.
Secure, reliable and appropriate use of telemetry data according to purpose
Development and use of individual guidelines that control data access
Unlimited data sovereignty for the user and specific control of information flow
- The application scenario is tested in cooperation with the company LEADEC Industrial Services. Target groups basically include companies that, for example, operate stationary and mobile machines in series production or in the energy industry and gather and use telemetry data for process optimisation or maintenance.
Problem Solved
After acquiring machine, operation and process data (e.g. currents, moments, vibrations, fault messages and status information) DATATRON transforms and compressesthem as required before they are forwarded to the IDS Provider Connector. This in turn ensures that the data are automatically and continuously forwarded to external users. Always provided that the latter produce the necessary authorisations and follow the rules.
Solution
DATATRONiQ GmbH developed DATATRON, an intelligent device for data recording that collects and evaluates telemetry data from production machines and transfers them into cloud services. Operability is to be extended, depending on each respective purpose, so that the data to be transferred are supplemented by user profiles and authorisations and the access management that goes along with them.
In this application scenario, an IDS Provider Connector is deployed as an intermediary between DATATRON, as the data source, and the consumers of data. The consumers can be external users or can be within the same organisation
As part of the use case, a number of IDS connectors were implemented. These are particularly suitable for telemetry data as they occur, for example, in the field of industrial series production. Particular attention was paid to a simple and flexible way of configuring the usage rights linked to the data – depending on the respective source and the planned user.
PREDICTIVE MAINTENANCE AND PROCESS-ACCOMPANYING QUALITY ASSURANCE
DATATRONIQ
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- App-Store
- IDS Broker
Locating single vehicles for citizens and companies
Fewer vehicle breakdowns
Operators of the car pools are always informed about operating conditions
- Cities of Malaga and Porto
- Stratio Automotive
- FIWARE Foundation
Problem Solved
The fleet management and the service station know which vehicle requires repairing at which location even before the driver arrives at the depot. The merging and controlled exchange of data from different areas are guaranteed via the IDS Connector. Thanks to IDS, participants can only use the confidential information if they are authorised to do so.
All operators, and even users of vehicle fleets, can benefit from the FIWARE use case “Predictive Maintenance of Fleets”. In this way, for example, passengers using a transport company can use apps to track the exact position of their bus.
Solution
Maintaining vehicles, not at fixed intervals, but according to predictive necessity – this is what the topic “Predictive Maintenance” is about. In this use case, vehicle parameters are used to avoid technical breakdowns and therefore to increase availability. The IDS FIWARE architecture enables secure data exchange between vehicles and fleet operators to improve predictive maintenance for vehicles. The hardware component from Stratio Automotive, which is installed in the vehicles, transmits information such as the actual engine temperature or the battery charge status to the server. This is where the true intelligence of the system is. The server matches the current data with recorded data and complements them with further data about weather conditions, fine dust pollution or traffic situations. By matching these data, the system generates new
information. In this way, problems are identified before they occur. If the system recognises a potential mechanical error, it issues information in real time.
PREDICTIVE MAINTENANCE OF FLEETS
FIWARE
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- Internal IDS Connector
- External IDS Connector
Develop virtual prototypes and therefore implement innovations more quickly
- Verband Deutscher
- Maschinen- und Anlagenbau VDMA (German Engineering Association)
- Deutsche Gesellschaft für Materialkunde DGM (German Materials Association)
- Carl Zeiss
Problem Solved
The digital twin of the spare part that is necessary for the repair also provides detailed information about the history of the component. Its virtual prototype also gives information about whether this component will withstand future loads. The “Materials Data Space” is also relevant for companies from other areas, e.g. for manufacturers of medical products or for the aerospace industry, and in general for industries that develop security-relevant components. To be in a position to make use of these benefits, companies must transfer the digital file of their products and with that also key competencies to others. That entails risks. Thanks to the secure IDS architecture, however, the companies participating in information exchange retain control over their data. Companies can transfer relevant
parameters to their partners without passing on their core
know-how.
Solution
New materials play a significant role in the development of innovative products. To be in a position to develop, produce and process materials more quickly, companies require a central platform that facilitates secure data exchange: the “Materials Data Space” provides cross-company digital information about materials and components along the entire value added chain. For example, companies receive information about the origin of the material, about certifications or possible damage by means of a digital material-twin. This is particularly useful in complaints management in the automotive industry. If a vehicle suffers engine damage, for example, it is often difficult to find the cause. By means of the digital material-twin, the automotive manufacturer will in future be able to exactly trace back the supply chain for all the 1,500 different components in the combustion engine.
MATERIALS DATA SPACE
FRAUNHOFER
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- App-Store
- IDS Broker
Ontology-based search
Sharing defined results in a certified community
Centralised broker system
- Cities of Malaga and Porto
- Stratio Automotive
- FIWARE Foundation
Problem Solved
The fleet management and the service station know which vehicle requires repairing at which location even before the driver arrives at the depot. The merging and controlled exchange of data from different areas are guaranteed via the IDS Connector. Thanks to IDS, participants can only use the confidential information if they are authorised to do so.
All operators, and even users of vehicle fleets, can benefit from the FIWARE use case “Predictive Maintenance of Fleets”. In this way, for example, passengers using a transport company can use apps to track the exact position of their bus.
Solution
Maintaining vehicles, not at fixed intervals, but according to predictive necessity – this is what the topic “Predictive Maintenance” is about. In this use case, vehicle parameters are used to avoid technical breakdowns and therefore to increase availability. The IDS FIWARE architecture enables secure data exchange between vehicles and fleet operators to improve predictive maintenance for vehicles. The hardware component from Stratio Automotive, which is installed in the vehicles, transmits information such as the actual engine temperature or the battery charge status to the server. This is where the true intelligence of the system is. The server matches the current data with recorded data and complements them with further data about weather conditions, fine dust pollution or traffic situations. By matching these data, the system generates new
information. In this way, problems are identified before they occur. If the system recognises a potential mechanical error, it issues information in real time.
PREDICTIVE MAINTENANCE OF FLEETS
FRAUNHOFER
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- IDS Identity Provider
Key component of the entire IDS architecture
- Ceisco
- IDS
Problem Solved
For INTERNATIONAL DATA SPACES the company provides one of the key components of the entire IDS architecture: the IDS Identity Provider. Only because of this crucial component are the participating connectors able to authorise and authenticate themselves. The user has to prove their identity to the system. Only then can it communicate with other users. The data provider has information that it makes available to other participants in INTERNATIONAL DATA SPACES. Thanks to the IDS Identity Provider, these data are only exchanged if certified partners request them. All participants retain sovereignty over their own data at all times.
Solution
nicos AG connects globally operating companies to their international locations and production sites via secure global data networks. In addition to strategic planning, network design and the provision and setup of all network components, nicos takes care of the reliable operation of customer networks.
IDENTITY PROVIDER IN THE ENVIRONMENT OF IDS
NICOS AG
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- Internal and external IDS Connectors
- Broker
- App Store
Exploitation of new communication partners and business models
Reducing the effort needed for technical integration projects
Fast integration of business processes between companies
- Deutsche Telekom
- Mannesmann Line Pipe GmbH
- Salzgitter Flachstahl GmbH
Problem Solved
In the application scenario “Accelerated B2B Onboarding through IDS Mapping Services”, certified companies can access modular mapping services by other communication partners via a central, IDS-compliant platform and use them for their own processes. If these mappings are used comprehensively, the bilateral coordination effort is reduced and connection speeds increase dramatically. The INTERNATIONAL DATA SPACES architecture guarantees that the companies participating in this exchange retain the sovereignty over their own data.
Solution
Companies that maintain business relations with each other need to exchange data and news during their work together, for example when ordering steel. They use their IT systems for this but the different systems usually use different languages. The person who sends the message decides on the data content, so determines the language it is sent in. The recipient then has to translate the message so its systems can use it. Companies have to put in a lot of effort to decode each message from their business partners so that their systems can read the messages automatically. This bilateral mapping takes a lot of time and thus incurs a lot of costs for the companies. To make sure they retain data sovereignty the companies do not hand over control of their mappings. Under certain conditions, companies could benefit from exchanging their mapping logic to help them work more efficiently.
ACCELERATED B2B ONBOARDING THROUGH IDS MAPPING SERVICES
SALZGITTER AG
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- Internal and external IDS Connectors
- Broker
- App Store
Optimisation of capacity and resources planning
Efficiency in planning processes
Reduction of planning insecurities and slack times in the supply chain
- Deutsche Telekom
- Mannesmann Line Pipe GmbH
- Salzgitter Flachstahl GmbH
Problem Solved
The application scenario “Predicting Lead Times” aims to plan supply chains in an intelligent and cost- and process-optimised way. Transport data from the past are combined with planning data from the enterprise resource planning system, actual data from OSCA® and public data in order to obtain an exact statement of transport time and delivery time. INTERNATIONAL DATA SPACES helps the companies involved in the supply chain to connect to each other. The data gathered for the companies are anonymised in the process so that they do not disclose any company secrets but nevertheless offer added value for other companies. The participating companies and their data are protected by the IDS architecture.
Solution
SETLOG, together with OSCA®, develops tailor-made SCM and VCM software. Many of the software developer’s customers come from the textile and consumer goods industry: companies that buy and produce goods globally. Because of individual customer requirements, reduced product life cycles and increasingly volatile demand, companies are being put under more and more pressure. When delivering their products, however, they still rely on planning data as no real-time data are available. This complicates the control of the processes that are part of procurement and distribution logistics. It is difficult to predict when goods will actually arrive at their destination. That leaves little scope for planning further steps, such as door and warehouse planning or (pre-) order picking. The resulting planning uncertainties lead to increased buffer times in the supply chain. The consequence is a lack of transparency influencing further processes and therefore invalid planning for goods deliveries. Delayed deliveries cost time, money and resources.
PREDICTING LEAD TIMES
SETLOG
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- Broker
- Demonstrator of platform Industry 4.0
Establishing the forecast provider as a new business player in the manufacturing industry environment
Larger and more simplified access to potential suppliers in goods purchasing
Optimising the production process
- Telekom
- Siemens
- The manufacturing industry
Problem Solved
In order to optimise the cooperation and processes of both the bottler and the supplier, the second level of the use case becomes effective: the integration of a forecast provider. For example, live production data from the bottler are exchanged to facilitate on-demand bottle production. In addition, the digital marketplace provides data sources that are used by the forecast provider to put it in a position to reliably forecast the market for the final product of the bottler. The implementation of the “Data Intelligence Hub” established by Deutsche Telekom on the basis of the INTERNATIONAL DATA SPACES reference architecture model makes sure that the participating companies constantly retain control over their own sensitive data when exchanging information.
Solution
To remain competitive, the manufacturing industry must constantly improve: by optimising processes, reducing costs and satisfying their customers all at the same time. The use case “Industry 4.0 Demonstrator: Asset Administration Shell Live Experience” helps companies to improve their value added chain in production. At the first level of the application scenario for example, a bottler is looking for a company that produces different shaped bottles for them. The request is processed via a digital business marketplace that works as an intermediary. The bottler selects the appropriate offer from the suppliers for bottles that offer their products via the IDS-compliant marketplace and concludes a master agreement with the respective supplier. Both the bottler and the supplier are interested in a long-term mutual business relation to create the basic conditions for improving their respective production processes. A commission fee is paid to the operator of the digital marketplace.
INDUSTRY 4.0 DEMONSTRATOR: ASSET ADMINISTRATION SHELL LIVE EXPERIENCE
SIEMENS
BENEFITS
Partners/ Ecosystem
Main Technology/ IDS Component
- IDS Connector
- IDS Broker
- IDS App Store
Simple search and use of data beyond company borders
Secure and controllable data exchange including administration of user rights
Secure working environments for analysis tools to develop data-driven products and services
- Technology partners
- Implementation partners
- Solution providers
Problem Solved
Telekom wants to facilitate data access with the product “Telekom Data Intelligence Hub” by encouraging and enabling companies to exchange their data via a secure business marketplace according to the principles of INTERNATIONAL DATA SPACES. “Telekom Data Intelligence Hub” is intended to serve as a digital connection between companies and be both a source for commercial data acquisition and open data. The platform offers users tools for analysis in addition to acquisition, exchange and processing of data. Industry experts, e.g. programmers, data engineers, data journalists and data scientists, get the possibility to develop new business models, data-driven products or services. “Telekom Data Intelligence Hub” is relevant for companies of different sizes
and industries but also for universities, for example,
that develop models for the combination of data and
algorithms to attain new insights.
To achieve this, INTERNATIONAL DATA SPACES provides the
reference architecture that
facilitates the secure
and sovereign exchange of
sensitive data.
Solution
Partners in a value-added chain often lack transparency, security and trust with respect to the use of their data. For example, the companies involved in production, sales and distribution (supply chain) do not pass on important information to their business partners for fear of losing data and control. Companies could reduce costs and increase the quality of their products by means of precise information. To achieve that target, larger companies work on their own solutions, however, smaller and medium-sized companies often fall by the wayside.
TELEKOM DATA INTELLIGENCE HUB
TELEKOM
EU RESEARCH PROJECTS
BRING IDS APPROACH TO THE WORLD!
TASKS
TARGET
- Create an open-sourced-based, living and adapting AM eco-system
- Provide all necessary assistance to SMEs
- Offer a comprehensive range of AM support services through an open source- and API-based digital marketplace structured as three Platforms
- Support and develop ‘best in class’ AM data handling tools and approaches, on an open-source basis
- Coordinate the development of synergies with the already existing I4MS framework, Competence Centres, Digital Innovation Hubs and other related research and innovation activities at the European level
EU SMEs face clear barriers in the uptake of Additive Manufacturing (AM) related to lack of skilled human resources, and lack of access to know-how, equipment, infrastructure and markets. The principal objective of this project is to overcome those barriers and enable the uptake of AM technologies by SMEs leading to the development of innovative business and service models and new value-chain models in a fully digital environment – thus bringing their ideas and business cases to life and making their innovations Additively Manufacturable (AMable). To achieve this objective, partners with expertise right across the AM value chain have been brought together from the four corners of the EU.
ADDITIVE MANUFACTORING 3D PRINTING
AMable
WEBSITE
OBJECTIVES
TARGET
- Global Standards
- Secure Digital Infrastructures
- Trusted Big Data Middleware
- Digital Manufacturing Platforms
- Certification
Boost 4.0, starting 1st January 2018 and with a duration of 3 years, is the biggest European initiative in Big Data for Industry 4.0. With a 20M€ budget and leveraging 100M€ of private investment, Boost 4.0 will lead the construction of the European Industrial Data Space to improve the competitiveness of Industry 4.0 and will guide the European manufacturing industry in the introduction of Big Data in the factory, providing the industrial sector with the necessary tools to obtain the maximum benefit of Big Data.
BIG DATA FOR INDUSTRY 4.0
BOOST 4.0
WEBSITE
OBJECTIVES
THE ISSUE
During the development of data-driven business processes, companies are faced with a number of challenges for which there are currently no usable, practice-oriented solutions and support by information systems. The reason for this is that data must be generated and processed in greater quantity and diversity ("heterogeneity"). The digital transformation, as a process of changing business models and markets, is an industry- and size-neutral driver, which the companies have to face on the tactical but especially on the strategic level.
DATA ECONOMICS AND MANAGEMENT OF DATA DRIVEN BUSINESS
DEMAND
WEBSITE
THE MISSION
THE PROJECT
- Technological services interactive try-on demos, webinars, challenges, hackathons and awards
- Business services ideas incubation, business acceleration, demand-offer matchmaking and brokerage, access to finance
- Skills building services serious and role games, participative lessons and webinars, virtual experiments in physical teaching factories
MIDIHs will leverage networks of local Competence Centres, each specialised in peculiar aspects of the CPPS/IIOT (Cyber Physical Production System / Industrial Internet of Things) technologies and able to attract, mentor and nurture local Manufacturing SMEs towards Industry 4.0 projects, experiments and business. A common platform of knowledge, methods and collaboration tools will be shared among the MIDIHs network and allow cross-border fertilisation, continuous improvement, open innovation.
MANUFACTORING INDUSTRY DIGITAL INNOVATION HUBS
MIDIH
WEBSITE
THE MISSION
TARGET
QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SMEfriendly and transformative shared data-driven Zero Defect Manufacturing (ZDM) product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots.
DIGITAL MANUFACTURING PLATFORMS FOR CONNECTED SMART FACTORIES
QU4LITY
WEBSITE
THE MISSION
TARGET
AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users
ARTIFICIAL INTELLIGENCE FOR EU
AI4EU
WEBSITE
THE MISSION
TARGET
The massive increase in data collected and stored worldwide calls for new ways to preserve privacy while still allowing data sharing among multiple data owners. Data can continue to be stored in different locations with different privacy constraints but shared securely. The MUSKETEER cross-domain platform will validate progress in the industrial scenarios of smart manufacturing and health. MUSKETEER strives to (1) create machine learning models over a variety of privacy-preserving scenarios, (2) ensure security and robustness against external and internal threats, (3) provide a standardized and extendable architecture, (4) demonstrate and validate in two different industrial scenarios and (5) enhance data economy by boosting sharing across domains.
MACHINE LEARNING TO AUGMENT SHARED KNOWLEDGE IN FEDERATED PRIVACY-PRESERVING SCENARIOS
MUSKETEER
WEBSITE
THE MISSION
TARGET
MARKET4.0 will offer advanced web-presence of production equipment SMEs extended with additional functionalities such as simulations, VR/AR capabilities and also will be a P2P Industrial Data Space that offer smart user-services, a secure API to try and test the Digital Twin of the production equipment, on top suppliers’ and customers’ data that enable the direct transaction between market peers (supplier-tosupplier, supplier-to-customer, customer-to-suppliers and more) during the whole B2B phases from equipment search to procurement and commissioning. MARKET4.0 will create trust in the business transaction between the SME production equipment manufacturer and the customer, as indicated in the Industrial Data Space (IDS) reference architecture
A MULTI-SIDED BUSINESS PLATFORM FOR PLUG AND PRODUCE INDUSTRIAL PRODUCT SERVICE SYSTEMS
MARKET 4.0
WEBSITE
THE MISSION
TARGET
DIH^2 is a network of 26 DIHs, with a target to reach over 170 DIHs. It will support SMEs in their Agile Production challenge (50% increase in productivity) and unleash their digitalization potential by enabling robot solutions that are more cost effective at lower lot sizes. DIH^2 will transform this network into a self-sustainable non-profit association with members all over Europe. DIH^2 will demonstrate that public funded research can help SMEs & Mid-Caps achieve digital excellence and global competitiveness through adopting advanced robotics solutions in Agile Production.
DIH= DIGITAL INNOVATION HUB
DIH²
WEBSITE