Industrial Large Knowledge Model

Assembly Line

A Unified Industrial Large Knowledge Model Framework in Smart Manufacturing

📅 Date:

✍️ Authors: Jay Lee, Hanqi Su

🔖 Topics: Digital Twin, Large Language Model, Industrial Large Knowledge Model

🏢 Organizations: University of Maryland

The recent emergence of large language models (LLMs) shows the potential for artificial general intelligence, revealing new opportunities in industry 4.0 and smart manufacturing. However, a notable gap exists in applying these LLMs in industry, primarily due to their training on general knowledge rather than domain-specific knowledge. Such specialized domain knowledge is vital for effectively addressing the complex needs of industrial applications. To bridge this gap, this paper proposes an Industrial Large Knowledge Model (ILKM) framework emphasizing their potential to revolutionize the industry in smart manufacturing. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, “6S Principle” is proposed as the guideline for the development of ILKMs in smart manufacturing.

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