Asset management knowledge graph for production plants in process industry

at - Automatisierungstechnik, vol. 72, pp. 946–957

Abstract

Abstract The introduction and adoption of various semantic models for describing assets within a plant have paved the way for new opportunities. This contribution centers on the establishment and continuous maintenance of a plant asset management system based on knowledge graphs, utilizing the information contained in various semantic models. Additionally, it highlights how the graph can be leveraged in the creation and configuration of AI-based anomaly detection models, aimed at the monitoring of measurement values in a process plant. The concept paves the way for the wide deployment of AI models in monitoring applications in process industry.

Authors 2

1. Ramy Hana corresponding Aachen Chair of Information and Automation Systems for Process and Material Technology

   RWTH Aachen University

   Affiliation as printed

   Chair of Information and Automation Systems for Process and Material Technology , 9165 RWTH Aachen: Rheinisch-Westfalische Technische Hochschule Aachen , Aachen , Germany

2. Tobias Kleinert Aachen Chair of Information and Automation Systems for Process and Material Technology

   RWTH Aachen University

   Affiliation as printed

   Chair of Information and Automation Systems for Process and Material Technology , 9165 RWTH Aachen: Rheinisch-Westfalische Technische Hochschule Aachen , Aachen , Germany