USE CASE OVERVIEW

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

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

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

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

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

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

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

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

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

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

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

SALZIGITTER 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

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

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

TELEKOM

EU RESEARCH PROJECTS

BRING IDS APPROACH TO THE WORLD!

#05Qu4lity

#07AI4EU

#07Musketeer

#08Market 4.0

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

AMable PROJECT

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

BOOST 4.0 PROJECT

OBJECTIVES

THE ISSUE

The project "DEMAND – Data Economics and Management of Data driven business" develops concrete solutions for architectures, process models and tools that can be used in practice. On the basis of the Industrial Data Space reference architecture, in cooperation with the companies in concrete use cases (e.g. predictive maintenance, autonomous driving or further IoT scenarios), blueprints for a necessary data governance and information architecture are developed in order to lay a fundamental structure of a data management adapted to the new challenges.

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

DEMAND PROJECT

THE MISSION

THE PROJECT

The MIDIH project aims at realizing services to support the ICT Innovation for Manufacturing SMEs:

Technological services

Business services

Skills building services

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

MIDIH PROJECT