Skip to main content
Springer Nature Link
Log in

Research on the Construction Method of Production Equipment Operation Management and Control Information Model Based on Knowledge Graph

  • Conference paper
  • First Online:
Innovative Intelligent Industrial Production and Logistics (IN4PL 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2373))

Abstract

To address the issues of multi-source heterogeneous information, numerous relationships, and complex interaction logic in production equipment operation management and control (PEOMC) activities. This study proposes a combined approach of “forward engineering + reverse engineering” to construct a general information reference model for PEOMC based on knowledge graph. The forward engineering involves analyzing the information resources related to PEOMC functions to design an information meta-model. The reverse engineering involves mining, analyzing, and refining multi-source and heterogeneous PEOMC engineering practice data. Guided by the information meta-model, a knowledge graph is constructed. By mapping and transforming entities, attributes, and relationships from the knowledge graph to the information model, a general information reference model for PEOMC is established. Finally, taking the information model construction of the predictive maintenance scenario in an aero-engine transmission unit manufacturing workshop as an example, the effectiveness and scientific validity of the method proposed in this study are verified.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tao, F., Zhang, C.Y., Zhang, H., et al.: Exploration of future equipment: digital twin equipment. Comput. Integr. Manuf. Syst. 28(01), 1–16 (2022)

    MATH  Google Scholar 

  2. IEC 61360-4:2005, Standard data element types with associated classification scheme for electric components-Part 4: IEC reference collection of standard data element types and component classes [S] (2005)

    Google Scholar 

  3. State Administration for Market Regulation. GB/T 39561.2–2020. Interconnection and interoperation of numerical control equipment - Part 2: Device description model [S] (2020)

    Google Scholar 

  4. State Administration for Market Regulation. GB/T 40209–2021. General modelling principles for integration based on information model about manufacturing equipment [S] (2021)

    Google Scholar 

  5. State Administration for Market Regulation. GB/T 37928–2019. Digital workshop - Machine tool manufacturing - Information Model [S] (2019)

    Google Scholar 

  6. IEC 62769–1:2023. Field Device Integration-Part 1: Overview [S]. International Electrotechnical Commission (IEC) (2023)

    Google Scholar 

  7. IEC 62714–1:2018. Engineering data exchange format for use in industrial automation systems engineering-Automation Markup Language-Part 1: Architecture and general requirements [S]. International Electrotechnical Commission (IEC) (2018)

    Google Scholar 

  8. IEC/TR 62541–1:2020. OPC unified architecture-Part 1: Overview and concepts [S]. International Electrotechnical Commission (IEC) (2020)

    Google Scholar 

  9. Frankfurt. Process Automation Device Information Model (PA-DIM) Working Group Introduces Extensions to Standard with Release of Version 1.1 [R/OL], 11 June 2024. https://opcfoundation.org/news/press-releases/process-automation-device-information-model-pa-dim-working-group-introduces-extensions-to-standard-with-release-of-version-1-1/

  10. Robin Cover. OAGI releases open applications group integration specification version 8.1-beta-1 [R/OL], 06 January 2003. https://xml.coverpages.org/ni2003-02-06-b.html

  11. Adolphs, P., Bedenbender, H., Dirzus, D., et al.: Reference architectural model Industrie 4.0 (RAMI4.0) [R]. Frankfurt: VDI, VDE and ZVEI (2015)

    Google Scholar 

  12. Xia, X.H., Zhang, B.Y., Wang, L., et al.: A modeling method for remanufacturing equipment resource information based on knowledge graph. J. Wuhan Univ. Sci. Technol. 1–9 (2024)

    Google Scholar 

  13. Peng, C.Y., Xia, F., Naseriparse, M., et al.: Knowledge graphs: opportunities and challenges. Artif. Intell. Rev. 56(11), 13071–13102 (2023)

    Article  MATH  Google Scholar 

  14. Lu, S.F., Li, Y.M., Tu, X.Y., et al.: Modeling method of numerical control equipment information model based on knowledge graph. J. Huazhong Univ. Sci. Technol. (Natl. Sci. Edn.) 50(06), 39–47 (2022)

    MATH  Google Scholar 

  15. IEC 62264–1:2013. Enterprise control system integration-Part 1: Models and terminology [S]. International Electrotechnical Commission (IEC) (2013)

    Google Scholar 

  16. IEC 62264–3:2016. Enterprise-control system integration-Part 3: Activity models of manufacturing operations management [S]. International Electrotechnical Commission (IEC) (2016)

    Google Scholar 

  17. IEC 62264–2:2013. Enterprise-control system integration-Part 2: Objects and attributes for enterprise-control system integration [S]. International Electrotechnical Commission (IEC) (2013)

    Google Scholar 

  18. IEC 62264–4:2015. Enterprise-control system integration-Part 4: Objects models attributes for manufacturing operations management integration [S]. International Electrotechnical Commission (IEC) (2015)

    Google Scholar 

  19. Zhu, Y.T.: A knowledge graph and BiLSTM-CRF-enabled intelligent adaptive learning model and its potential application. Alex. Eng. J. 91, 305–320 (2024)

    Article  MATH  Google Scholar 

  20. Berger, B., Waterman, M.S., Yu, Y.W.: Levenshtein distance, sequence comparison and biological database search. IEEE Trans. Inf. Theory 67(6), 3287–3294 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  21. Gonzalez-Huitron, V.A., Rodriguez-Mata, A.E., Amabilis-Sosa, L.E., et al.: Jaccard distance as similarity measure for disparity map estimation. IEEE Lat. Am. Trans. 21(5), 690–698 (2023)

    Article  MATH  Google Scholar 

  22. Nguyen, M.H., Tran, D.Q.: Estimation in semantic similarity of texts. J. Inf. Sci. Eng. 37(3), 617–633 (2021)

    MATH  Google Scholar 

  23. Qiu, K.D., Ma, J.L.: A review of research on hierarchical relationship recognition based on text corpus. Inf. Sci. 38(07), 162–172 (2020)

    MATH  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Key R&D Program of China (2021YFB1715300).

Author information

Authors and Affiliations

  1. China Industrial Control Systems Cyber Emergency Response Team, Beijing, 100040, China

    Jun Li, Keqin Dou, Jinsong Liu, Shunyi Xu & Yong Zhou

  2. Department of Automation, Tsinghua University, Beijing, 100084, China

    Jun Li & Qing Li

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Keqin Dou

Authors
  1. Jun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Keqin Dou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jinsong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shunyi Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yong Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Zhou .

Editor information

Editors and Affiliations

  1. Polytechnical University of Bari, Bari, Italy

    Michele Dassisti

  2. University of Paris-EST Créteil, Créteil, France

    Kurosh Madani

  3. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

Ethics declarations

The authors have no competing interests to declare that are relevant to the content of this article.

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, J., Dou, K., Liu, J., Xu, S., Li, Q., Zhou, Y. (2025). Research on the Construction Method of Production Equipment Operation Management and Control Information Model Based on Knowledge Graph. In: Dassisti, M., Madani, K., Panetto, H. (eds) Innovative Intelligent Industrial Production and Logistics. IN4PL 2024. Communications in Computer and Information Science, vol 2373. Springer, Cham. https://doi.org/10.1007/978-3-031-80775-6_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-80775-6_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-80774-9

  • Online ISBN: 978-3-031-80775-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics