Ontology-based reasoning to reconFigure industrial processes for energy efficiency

Kouzapas, Dimitrios; Stylianidis, Nearchos; Panayiotou, Christos G.; Ηλιάδης, Δημήτριος Γ.

doi:10.1109/med59994.2023.10185805

2023 31st Mediterranean Conference on Control and Automation (MED) 2023

DOI: 10.1109/med59994.2023.10185805

|View full text |Cite

Ontology-based reasoning to reconFigure industrial processes for energy efficiency

Dimitrios Kouzapas

Nearchos Stylianidis

Christos G. Panayiotou

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model

Fu,

Liu,

2024

Front. Eng. Manag.

View full text Add to dashboard Cite

In the steelmaking industry, enhancing production cost-effectiveness and operational efficiency requires the integration of intelligent systems to support production activities. Thus, effectively integrating various production modules is crucial to enable collaborative operations throughout the entire production chain, reducing management costs and complexities. This paper proposes, for the first time, the integration of Vision-Language Model (VLM) and Large Language Model (LLM) technologies in the steel manufacturing domain, creating a novel steelmaking process management system. The system facilitates data collection, analysis, visualization, and intelligent dialogue for the steelmaking process. The VLM module provides textual descriptions for slab defect detection, while LLM technology supports the analysis of production data and intelligent question-answering. The feasibility, superiority, and effectiveness of the system are demonstrated through production data and comparative experiments. The system has significantly lowered costs and enhanced operational understanding, marking a critical step toward intelligent and cost-effective management in the steelmaking domain.

show abstract

Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model

Fu,

Liu,

2024

Front. Eng. Manag.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Ontology-based reasoning to reconFigure industrial processes for energy efficiency

Cited by 1 publication

References 15 publications

Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model

Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model

Contact Info

Product

Resources

About