Demonstration of a Novel AI-Based Approach for Digitalization Ladle Metallurgy Facility

In 2023, a major steel manufacturer initiated a pilot project aimed at the digital transformation of a Ladle Metallurgy Facility (LMF). The project, supported by governmental and technological partnerships, focused on addressing the digitalization challenges within heavy industries, which often lag...

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Bibliographic Details
Published in2024 IEEE 3rd International Conference on Intelligent Reality (ICIR) pp. 1 - 2
Main Authors Hassan, Esteve, Eaman, Amir
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.12.2024
Subjects
IIoT
Image processing
Industrial Internet of Things
Industries
machine vision
Manuals
Manufacturing
Metallurgy
Real-time systems
Sensors
Standardization
Steel
Steel ladle
Visual analytics
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Summary:In 2023, a major steel manufacturer initiated a pilot project aimed at the digital transformation of a Ladle Metallurgy Facility (LMF). The project, supported by governmental and technological partnerships, focused on addressing the digitalization challenges within heavy industries, which often lag behind other manufacturing sectors. This study explores the implementation of advanced digital technologies, including machine learning-based video analytics, novel sensing technologies, Industrial Internet of Things (IIoT) integration, real-time cognitive computing, big data analytics, and digital twins. The primary objective of this initiative was to enhance process efficiency by reducing manual interventions, minimizing process variability, and improving the final metallurgical properties of the steel. This work provides valuable insights into the digitalization process, technical execution, data standardization requirements, and workforce impact in a heavy manufacturing environment. The results demonstrate the potential of these technologies to advance operational efficiency in the steelmaking industry, laying the groundwork for future technology trials.
DOI:10.1109/ICIR64558.2024.10976823