This session will cover various aspects of FIWARE, a platform designed to facilitate the development of smart solutions for a range of industries. The session will begin with an introduction to the FIWARE Training program, which offers courses designed to help developers, entrepreneurs, and other interested parties get up to speed with FIWARE technologies.Next, attendees will learn about the FIWARE Marketplace,an online platform that provides access to FIWARE-based products and services and how to become part of it. The session will delve into the intersection of thermodynamics and FIWARE, and how this collaboration can address climate change. Attendees will learn about the use of FIWARE in creating smart solutions for energy management, emissions reduction, and more. Furthermore,The session will showcase the FIWARE integrated data platform for healthcare, which offers a range of tools and applications designed to improve healthcare outcomes. Finally, the session will also explore the Smart Data Models program, which will show 6 use cases of their successful use in different industries (Health, Energy, Water, open data, etc). Attendees will learn about the benefits of using these models and how they can be integrated into various applications. Overall, this session offers a comprehensive overview of the various aspects of FIWARE, including its marketplace, training programs, smart data models, and integrated data platforms for healthcare. The session will be beneficial for developers, entrepreneurs, and other interested parties looking to leverage FIWARE technologies to create innovative solutions for a range of industries.

1. Vienna, Austria
12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
Smart Data model
generation for big data
models in a solar thermal
power plant

2. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Use Case
▪ Transform solar power plant into cyber-physical system
▪ Support and improve plant operation with data-based applications
▪ Challenge: Integration of Process Control System (PCS)

3. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Use Case
▪ Process Control System has ~2,700 relevant variables from ~ 90,000 variables overall
▪ A lot of effort to manually structure list of entities & create smart data model / IoT-Agent
configuration
Structure PCS
Variables into
meaningful entities &
attributes
1
Create FIWARE
Smart Data Model
2
Create FIWARE IoT-
Agent configuration
3

4. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Idea: Automated FIWARE artefact creation for big data models
• PCS uses name pattern ‘Identification System for Power Stations’ / ‘Kraftwerk-Kennzeichensystem’
(KKS)
0WTX99CT910A/MWtTempRec.U
Level 0: Overall Plant
Level 1: Function
Level 2: Aggregate
Level 3: Operational resources
Suffix: Kind of measurement  Analog measured value
 Assembly and parts assembly
 Measuring circuit temperature
 Receiver
 Solar tower Jülich
KKS-Name
Readable
name Suffix

5. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Developed Tool to generate FIWARE resources based on standardized name pattern
▪ Generates Smart Data Model & Agent Configuration

6. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Developed Tool to generate FIWARE resources based on standardized name pattern
▪ Generates Smart Data Model & Agent Configuration
Generated entity
description
Entity

7. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Developed Tool to generate FIWARE resources based on standardized name pattern
▪ Generates Smart Data Model & Agent Configuration
Relation to
PCS entity
Additional
information
Mandatory
attributes

8. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Developed Tool to generate FIWARE resources based on standardized name pattern
▪ Generates Smart Data Model & Agent Configuration
Generated attribute
description
Mapped Data Type
Cleaned KKS-
name as property
name

9. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Main outcomes
▪ Developed Tool to generate FIWARE resources based on standardized name pattern
▪ Generates Smart Data Model & Agent Configuration
Relation to PCS entity
Generated entity
description
Entity
Mandatory attributes
Mapped Data Type
Generated attribute
description
Additional information
Cleaned KKS-name
as property name

10. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
Inga Miadowicz
Data Standardization and Smart Data models
▪ Summary
• Big Smart Data Models create a lot of manual effort for creation of SDM & IoT-Agent configuration
• Standards and name patterns can be used to automatically generate FIWARE artefacts
• Example tool for big data model generation in a solar thermal power plant based on KKS name
system
https://github.com/DLR-
SF/FiwareResourcesKKS

11. Vienna, Austria
12-13 June, 2023
#FIWARESummit
Thanks!