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.

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

  • Jun Li,
  • Keqin Dou,
  • Jinsong Liu,
  • Shunyi Xu,
  • Qing Li,
  • Yong Zhou

摘要

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.