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Knowledge Change Management and
Analysis during the Engineering of
Cyber Physical Production Systems
Fajar J. Ekaputra1, M...
The Fourth Industrial Revolution
Source: Forschungsunion Wirtschaft und Wissenschaft, Acatech,”Securing the future of
Germ...
Cyber-Physical Systems (CPS)
Flexible, adaptive manufacturing (CPPS)
(e.g., modern Hydro Power Plants)
Smart, distributed ...
Multi Disciplinary Engineering Environment
The typical environment for designing Cyber Physical Production Systems
such as...
A Hydro Power Plants Use Case:
Use Case Settings
PMO
Project
Manager
OPM
Mechanical
Engineer
?
EPL
Electrical
Engineer
Thr...
A Hydro Power Plants Use Case:
Example Signal Data
OPM Signals
EPL Signals
Implicit Links
Key Challenges
§  How to manage changes in complex multi-disciplinary
engineering settings?
–  How to integrate the hetero...
Solution Approach (1)
§  Based on Ontology-Based
Information Integration [1,2]
§  Consists of three main
components
–  Loc...
Solution Approach (2)
Extending OBII with knowledge change management capabilities [3]
[3] F. J. Ekaputra, “Knowledge Chan...
Solution: implementation with SW Technologies
Hydro Power Plants’ Common Concept Ontology
Adapted from Sabou et al., “Semantic Modelling and Acquisition of Engineering ...
Change Representation
Feasibility Evaluation
§  Three users from three domains
–  Project manager
–  Mechanical Engineer
–  Electrical Engineer
...
Key Findings and Future Work
•  Knowledge Change Management and Analysis is a key task
in supporting the engineering of CP...
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Fajar J. Ekaputra, Marta Sabou, Estefania Serral and Stefan Biffl | Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems: A Use Case of Hydro Power Plants

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Fajar J. Ekaputra, Marta Sabou, Estefania Serral and Stefan Biffl | Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems: A Use Case of Hydro Power Plants

  1. 1. Knowledge Change Management and Analysis during the Engineering of Cyber Physical Production Systems Fajar J. Ekaputra1, Marta Sabou1, Estefanía Serral2, Stefan Biffl1 1) Vienna University of Technology, Christian Doppler Laboratory for „Software Engineering Integration for Flexible Automation Systems“ (CDL-Flex) 2) ) KU Leuven, Department of Decision Sciences and Information Management
  2. 2. The Fourth Industrial Revolution Source: Forschungsunion Wirtschaft und Wissenschaft, Acatech,”Securing the future of German manufacturing industry. Recommendations for implementing the strategic initiative INDUSTRIE 4.0 .Final report of the Industrie 4.0. Working Group.”, 2013
  3. 3. Cyber-Physical Systems (CPS) Flexible, adaptive manufacturing (CPPS) (e.g., modern Hydro Power Plants) Smart, distributed transportation systems
  4. 4. Multi Disciplinary Engineering Environment The typical environment for designing Cyber Physical Production Systems such as modern Hydro Power Plants Domain Expert Knowledge Engineer Electrical Engineer Mechanical Engineer Project Management Electrical Engineering Mechanical Engineering “Knowledge Change” Related Tasks Knowledge Engineering Project Supervisor ? Project Manager The engineering process is iteratively conducted. Software Engineering Software Engineer
  5. 5. A Hydro Power Plants Use Case: Use Case Settings PMO Project Manager OPM Mechanical Engineer ? EPL Electrical Engineer Three local data sources for managing signal changes: •  PMO for project management data •  OPM for mechanical engineering data •  EPL for electrical engineering data Implicitly connected - if one data source changed, it might affect the data on other sources Therefore, Knowledge Change Management is an important part of it
  6. 6. A Hydro Power Plants Use Case: Example Signal Data OPM Signals EPL Signals Implicit Links
  7. 7. Key Challenges §  How to manage changes in complex multi-disciplinary engineering settings? –  How to integrate the heterogeneous data? –  How to detect and propagate changes in the integrated datasets? –  How to use change data to support advanced queries?(e.g., what are the signals that have been changed in the last month?; how many racks were added during the last changes?)
  8. 8. Solution Approach (1) §  Based on Ontology-Based Information Integration [1,2] §  Consists of three main components –  Local ontologies –  A common ontology –  Mapping / transformation between local and common ontologies Mechanical Engineering Tools Electrical Engineering Tools Local Ontology (PMO) Local Ontology (EPL) Local Ontology (OPM) Common Ontology (CCO) Lifting schema and data into local ontologies Project Management Tools [1] H. Wache et al., “Ontology-based integration of information-a survey of existing approaches,” in IJCAI-01 Workshop on Ontologies and Information Sharing, 2001, pp. 108–117. [2] D. Calvanese, G. De Giacomo, and M. Lenzerini, “Ontology of Integration and Integration of Ontologies.,” in International Description Logics Workshop, 2001, p. 2.
  9. 9. Solution Approach (2) Extending OBII with knowledge change management capabilities [3] [3] F. J. Ekaputra, “Knowledge Change Management in Engineering,” in Semantic Web for Intelligent Engineering Applications, Springer, 2016.
  10. 10. Solution: implementation with SW Technologies
  11. 11. Hydro Power Plants’ Common Concept Ontology Adapted from Sabou et al., “Semantic Modelling and Acquisition of Engineering Knowledge,” in Semantic Web for Intelligent Engineering Applications, Springer, 2016.
  12. 12. Change Representation
  13. 13. Feasibility Evaluation §  Three users from three domains –  Project manager –  Mechanical Engineer –  Electrical Engineer §  Eight signals commits from three data sources –  Six valid commits and two invalid commits –  Each commit contains small number of signals §  Evaluation result: –  Successful validation and propagation of changes –  Successful analysis on the changes
  14. 14. Key Findings and Future Work •  Knowledge Change Management and Analysis is a key task in supporting the engineering of CPPS •  We proposed a technology-agnostic solution based on the extension of Ontology Based Information Integration approach •  We implemented the solution with SW technologies in the use case of Hydro power plant engineering •  Our solution prototype is feasible in test settings •  Future extensions require improved scalability and better ease of use

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