A key initiative of Europe is to accelerate the deployment of Data Spaces in different domains. Manufacturing Data Spaces are among the top 9 priorities set by the EC. Data sharing among manufacturing companies and with (service) providers will be increasing in the near future, demonstrating how sharing industrial data improves company operations. Both the discrete manufacturing and process industry are impacted by such a transformation. Consequently, the priority for manufacturing stakeholders will be to develop collaborative services based on a trusted and common framework for sharing and exchanging data and models multilaterally to overcome the interoperability challenge and implement next generation autonomous cross-enterprise industrial operations. Currently approaches to Digital Manufacturing Platforms (DMP) and Industrial Data Platforms (IDP) do lack the ability to consistently share data across organisations at scale. In fact, it is already acknowledged that peer-to-peer data sharing, especially when involving SMEs, will not scale to unveil high-quality data sharing for manufacturing value set above. The FIWARE Smart Industry Mission Support Committee (SIMSC) is playing a major role in this twin and green transition, facilitating the definition and adoption of common protocol and data models, as well as the spreading of enabling technologies such as Digital Twins and Artificial Intelligence. The session will drive you through the context analysis, the needs and benefits, the technologies adoption in relevant use cases and the offering of Testing and Experimental Facilities in several industrial domains.

1. Vienna, Austria
12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
SHOP4CF:
WARNING Experiment

2. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
CONSORZIO INTELLIMECH
Reasearch
Applied research
and technology
transfer
Industries

3. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
USE CASE: Elettrocablaggi Srl
Scenario:
Assembly line for customized electrical panels
Main challenges:
▪ Inefficient paper-based procedure
▪ No process monitoring
▪ High occurrence of errors
▪ Poor repeatability
▪ Poor knowledge management. Need to dedicate expert
operators to train newly introduced resources

4. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
USE CASE: Elettrocablaggi Srl
Proposed solution:
WARN: Worker Augmented Reality guidance
▪ Digitization and sharing of company’s knowledge
▪ Leveraging CAD models, BOM, and supplier technical
specifications to provide intuitive AR guidance to
operators
▪ Providing real-time information on field data, enabling
a comprehensive view of shopfloor events
▪ Monitoring the assembly process to improve visibility
and customer trust

5. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
USE CASE: Elettrocablaggi Srl
Proposed solution:
WARN: Worker Augmented Reality guidaNce
The use case implementation was supported by the EU-funded project SHOP4CF
(Smart Human Oriented Platform for Connected Factories)
create a unique infrastructure, based on RAMI 4.0 and
FIWARE, for the convenient deployment of human-centric
industrial applications in the context of modern, flexible and data-
rich manufacturing.
This Project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No.
873087. Neither the European Commission nor any person acting on behalf of the Commission is responsible for how the following
information is used. The views expressed in this publication are the sole responsibility of the authors and do not necessarily reflect the
views of the European Commission.

6. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
SOLUTION OVERVIEW

7. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
WARN module
▪ Setup Application
▪ User application
WINDOWS
HOLOLENS 2
DB DCF
DB
SW HW

8. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
WARN module: Setup application
Create a new procedure:
▪ Import CAD files
▪ Create new steps
• Select components
• Insert text instructions
▪ Check steps
▪ Save procedure to DB

9. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
WARN module: User application
▪ Runs on the HoloLens
▪ Guiding procedure read
from the FIWARE Orion
Context Broker and
rendered in the AR
environment
▪ The results of the
functional test are
displayed in real-time
handling field data
through the DCF
module.

10. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Results & Conclusion
▪ SHOP4CF components and FIWARE enhanced data management and communication within the
modules.
▪ WARN can be applied in manufacturing of custom products involving manual labor to:
• Support company’s knowledge digitization and sharing
• Improve manufacturing processes efficiency
• Enable process monitoring promoting transparency and customer trust
▪ Positive feedback have been collected from 16 volunteers
• From 1 (low) to 4 (high)
• Some source of discomfort (eye-discomfort)
• Applicability at the current level of development:
□ Support to daily assembly processes = 3.1
□ Support new resources training = 3.7
1 2 3 4
Comfort
Completeness
Comprehensibility
Usability

11. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
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12. Vienna, Austria
12-13 June, 2023
#FIWARESummit
Thanks!