Asset Lifecycle Information Orchestration in Process Systems Engineering

Michael Wiedau

doi:10.51202/9783186481207

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Bibliographic data

Copyright year: 2024
ISBN-Print: 978-3-18-348120-0
ISBN-Online: 978-3-18-648120-7
Publisher: VDI Verlag, Düsseldorf
Series: Rechnerunterstützte Verfahren
Volume: 481
Language: German
Pages: 164
Product type: Book Titles

Titelei/Inhaltsverzeichnis No access Pages I - XVI
1. 1. Why former approaches failed No access
  2. From theoretical approaches to industrial practice No access
  3. The small focus of practically used data models No access
  4. Semantical incorrectness of export information No access
2. 1. The enabler No access
  2. Focus of the problem No access
  3. Topics that are not explicitly covered No access
3. Summary and Overview No access
1. Digitization requires data handling No access
2. 1. Semantic and syntactic heterogeneity No access
  2. Data integration principles No access
  3. Introduction to ontologies No access
  4. Collaborative and distributed chemical engineering No access
  5. The OntoCAPE ontology No access
3. 1. Concepts No access
  2. Technologies No access
  3. The Asset Administration Shell: Enabling Digital Transfor- mationinIndustry4.0 No access
4. 1. International standardization initiatives No access
  2. Industry In-house initiatives No access
5. Conclusion No access
1. 1. Different data perspectives No access
  2. Document driven information exchange No access
  3. The interoperability challenge No access
2. 1. The Functional Requirements aspect No access
  2. The Functional-Design and Asset-Specification aspects No access
  3. Assetsinoperation No access
3. 1. Examples for aspects of process and plant elements No access
  2. The asset lifecycle phases and conventional approaches No access
  3. Asset Model Differentiation No access
4. 1. Categorization disciplines of norms and standards No access
  2. Evaluation criteria according to the literature No access
  3. Evaluation criteria according to industry requirements No access
  4. A comprehensive evaluation criteria list as paradigms No access
5. Summaryonmethodology No access
1. 1. General standards for data exchange, data integration and interoperability No access
  2. Classification, identification and plant breakdown structures No access
  3. Standardization of processes structures and process design data No access
  4. Taxonomies of apparatuses and machines No access
  5. Process control and instrumentation No access
  6. Standardization of schematic diagrams No access
2. 1. Paradigmscoring No access
  2. Evaluation of standards according to paradigms No access
3. Conclusion on standards evaluation No access
1. Conclusion No access
2. Approaches and publication that have not been covered yet No access
3. 1. Relevance to Artificial Intelligence in the Process Industry No access
  2. 1. 1. The missing specification problem No access
        The 1:n integration problem No access
      2. Consistent configuration for seamless tool integration No access
    2. Appendix: Towards better decision making along the asset lifecycle No access
4. Motivation No access
5. 1. Structured decision handling No access
  2. Requirements for a data structure of design rationales No access
  3. Foundations of design rationales No access
  4. Decision capturing No access
  5. Design rationals in process engineering No access
  6. Summary No access
6. 1. Generel Methodology No access
  2. Three Tier Approach for decision extraction No access
  3. The decision extraction software framework No access
7. 1. Decision extraction from simulations and piping diagrams No access
  2. Decision extraction from P&IDs No access
8. Conclusion No access
Bibliography No access Pages 145 - 164