On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development

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Paper "On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development" presented at ECMFA 2017, part of STAF, @ Marburg.

Technology

On the Opportunities of
Scalable Modeling Technologies:
An Experience Report on
Wind Turbines Control
Applications Development
Abel Gómez, Xabier Mendialdua,
Gábor Bergmann, Jordi Cabot,
Csaba Debreceni, Antonio Garmendia,
Dimitrios S. Kolovos, Juan de Lara
and Salvador Trujillo
1

• Private not-for-profit applied
research centre
• Created in 1974 within Mondragon
Group
• 16.000 M€ (Spanish 7th largest
industrial group)
• Workforce around 85.000
(cooperative)
• Facts (2016)
• IK4-IKERLAN revenue 20 M€
• Funding is mostly private (65%) and
public (35%)
• Staff : 260 professionals + 43 staff in
training
2

Model-based
Engineering for
WTCS Development
6

Model-based Engineering for WTCS
Development
7

Model-based
Engineering
for WTCS
Development
8

Future
• Increase in the number of
developers using MBE
techniques (from 10+ to 20+)
• Wind turbine control
customization (30 different
variants)
9

Limitations
• Lack of features to work
collaboratively
• Complex, tedious and error
prone merge & sync tasks
• Inability to work with partial
models
10

Challenges
1. Enable collaborative modeling
2. Ability to edit partial models or
model fragments
3. Display and edit models
graphically
4. Enable modeling in
lightweight mobile devices
11

Towards a Scalable
MBE Development
Process
• MONDO Collaboration
Framework
• Offline Collaboration
• Online Collaboration
• DSL-tao
• EMF-Splitter
• Hawk
12

Offline
Graphical
Collaborative
WTCS
Modeling
16

Evaluation
Scenario 1 —
Wind Turbine Control Design
Scenario 2 —
Wind Turbine Comissioning
Scenario 3 —
Maintenance activities in the
Wind Farm Using Mobile
Devices
17

Quantitative
Measures
QN1 - Increase in time for loading a model on a Tablet instead of on a PC
QN2 - Number of concurrent users working with a model
QN3 - Time for change propagation and notification among concurrent users
QN4 - Maximum number of elements that can be displayed in a diagram
QN5 - Time for loading a diagram having 25 element to de displayed
QN6 - Time for commiting model changes
QN7 - Performance impact caused by the MONDO Collaboration Framework
QN8 - Time reduction for building graphical domain specific modeling editors
Good
Sufficient
Excellent
18

QL1 - Is there a methodology which specifies how a large DSL should be
constructed
QL2 - Is there a tool support for the methodology, which guides the user on the
construction of a large DSL?
QL3 - Does this tool provide a way to create a basic but fully functional
collaborative domain specific modeling tool?
QL4 - Is MONDO technology mature enough to be used in industrial solutions?
QL5 - Does MONDO technology allow concurrent editing of a model?
QL6 - Does MONDO technology allow partial loading of models?
QL7 - Does MONDO technology allow progressive loading of a model?
QL8 - Does MONDO technology allow working with several modeling
languages in a single tool?
QL9 - Can a model be edited using a tablet?
Fully fulfilled
Partially fulfilled
Qualitative
Measures
19

Continuous
compliance
Method-
ological
guidance
Web
technology
Mobile-
dedicated
modeling
environments
21

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

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Slack Application Development 101 Slides

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

How to convert PDF to text with Nanonets

How to Troubleshoot Apps for the Modern Connected Worker

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development

1. On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development Abel Gómez, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara and Salvador Trujillo 1

2. • Private not-for-profit applied research centre • Created in 1974 within Mondragon Group • 16.000 M€ (Spanish 7th largest industrial group) • Workforce around 85.000 (cooperative) • Facts (2016) • IK4-IKERLAN revenue 20 M€ • Funding is mostly private (65%) and public (35%) • Staff : 260 professionals + 43 staff in training 2

3. Wind Turbines 3

4. Wind Turbine Control Systems 4

5. Wind Turbine Control Systems 5

6. Model-based Engineering for WTCS Development 6

7. Model-based Engineering for WTCS Development 7

8. Model-based Engineering for WTCS Development 8

9. Future • Increase in the number of developers using MBE techniques (from 10+ to 20+) • Wind turbine control customization (30 different variants) 9

10. Limitations • Lack of features to work collaboratively • Complex, tedious and error prone merge & sync tasks • Inability to work with partial models 10

11. Challenges 1. Enable collaborative modeling 2. Ability to edit partial models or model fragments 3. Display and edit models graphically 4. Enable modeling in lightweight mobile devices 11

12. Towards a Scalable MBE Development Process • MONDO Collaboration Framework • Offline Collaboration • Online Collaboration • DSL-tao • EMF-Splitter • Hawk 12

13. 13

14. Offline Collaborative WTCS Modeling 14

15. Online Concurrent WTCS Modeling 15

16. Offline Graphical Collaborative WTCS Modeling 16

17. Evaluation Scenario 1 — Wind Turbine Control Design Scenario 2 — Wind Turbine Comissioning Scenario 3 — Maintenance activities in the Wind Farm Using Mobile Devices 17

18. Quantitative Measures QN1 - Increase in time for loading a model on a Tablet instead of on a PC QN2 - Number of concurrent users working with a model QN3 - Time for change propagation and notification among concurrent users QN4 - Maximum number of elements that can be displayed in a diagram QN5 - Time for loading a diagram having 25 element to de displayed QN6 - Time for commiting model changes QN7 - Performance impact caused by the MONDO Collaboration Framework QN8 - Time reduction for building graphical domain specific modeling editors Good Sufficient Excellent 18

19. QL1 - Is there a methodology which specifies how a large DSL should be constructed QL2 - Is there a tool support for the methodology, which guides the user on the construction of a large DSL? QL3 - Does this tool provide a way to create a basic but fully functional collaborative domain specific modeling tool? QL4 - Is MONDO technology mature enough to be used in industrial solutions? QL5 - Does MONDO technology allow concurrent editing of a model? QL6 - Does MONDO technology allow partial loading of models? QL7 - Does MONDO technology allow progressive loading of a model? QL8 - Does MONDO technology allow working with several modeling languages in a single tool? QL9 - Can a model be edited using a tablet? Fully fulfilled Partially fulfilled Qualitative Measures 19

20. Discussion 20

21. Continuous compliance Method- ological guidance Web technology Mobile- dedicated modeling environments 21

22. On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development Abel Gómez, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara and Salvador Trujillo 22

On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development

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On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development