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A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing

Jay Lee, Hanqi Su

TL;DR

The paper addresses the gap where general-domain LLMs fail to meet the domain-specific demands of Industry 4.0 and smart manufacturing. It introduces an Industrial Large Knowledge Model (ILKM) framework organized around a Large Knowledge Library, domain instruction data, and a domain knowledge LLM, guided by the 6S Principle. It elaborates a four-step development pipeline and contrasts ILKMs with traditional LLMs across several dimensions, outlining tangible opportunities in materials discovery, design optimization, prognostics, and automated QA. The work highlights how ILKMs can deliver domain-specific, interpretable, secure, and scalable AI solutions to accelerate industrial digital transformation and operational resilience.

Abstract

The recent emergence of large language models (LLMs) demonstrates 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 a unified industrial large knowledge model (ILKM) framework, emphasizing its potential to revolutionize future industries. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in Industry 4.0 and smart manufacturing.

A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing

TL;DR

The paper addresses the gap where general-domain LLMs fail to meet the domain-specific demands of Industry 4.0 and smart manufacturing. It introduces an Industrial Large Knowledge Model (ILKM) framework organized around a Large Knowledge Library, domain instruction data, and a domain knowledge LLM, guided by the 6S Principle. It elaborates a four-step development pipeline and contrasts ILKMs with traditional LLMs across several dimensions, outlining tangible opportunities in materials discovery, design optimization, prognostics, and automated QA. The work highlights how ILKMs can deliver domain-specific, interpretable, secure, and scalable AI solutions to accelerate industrial digital transformation and operational resilience.

Abstract

The recent emergence of large language models (LLMs) demonstrates 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 a unified industrial large knowledge model (ILKM) framework, emphasizing its potential to revolutionize future industries. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in Industry 4.0 and smart manufacturing.
Paper Structure (12 sections, 3 figures, 1 table)

This paper contains 12 sections, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. The role of ILKMs in Industry 4.0 and smart manufacturing
  3. ILKM framework
  4. Large knowledge library construction
  5. Domain instruction data preparation
  6. Domain knowledge LLM development
  7. Intelligent domain expert machine learning system
  8. Discussion
  9. Comparison between ILKMs and LLMs
  10. Foundational principles for ILKM development
  11. Prospective and opportunity
  12. Conclusion

Figures (3)

  • Figure 1: General process in Industry 4.0 and smart manufacturing using industrial large knowledge model. Abbreviations: AI: Artificial intelligence; LKL: Large knowledge library; LLM: Large language model; ML: Machine learning.
  • Figure 2: A unified industrial large knowledge model framework. Abbreviations: ML: Machine learning; QA: Question answering
  • Figure 3: The "6S Principl" for ILKM development. Abbreviations: AI: Artificial intelligence; DL: Deep learning; ILKM: Industrial large knowledge models; ML: Machine learning