Semantic models in process monitoring – Semantic models for field device performance monitoring in the process industry in the context of industry 4.0

Hana, Ramy; Kleinert, Tobias

doi:10.51202/9783181024195-233

Automation 2023 2023

DOI: 10.51202/9783181024195-233

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Semantic models in process monitoring – Semantic models for field device performance monitoring in the process industry in the context of industry 4.0

Ramy Hana¹,

Tobias Kleinert²

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2024

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Asset management knowledge graph for production plants in process industry

Hana,

Kleinert

2024

At - Automatisierungstechnik

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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.

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Asset management knowledge graph for production plants in process industry

Hana,

Kleinert

2024

At - Automatisierungstechnik

View full text Add to dashboard Cite

show abstract

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Semantic models in process monitoring – Semantic models for field device performance monitoring in the process industry in the context of industry 4.0

Cited by 1 publication

References 0 publications

Asset management knowledge graph for production plants in process industry

Asset management knowledge graph for production plants in process industry

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