Page 51 - IJAMD-1-2

International Journal of AI for
Materials and Design
A unified ILKM in smart manufacturing

Figure 3. The “6S Principle” for ILKM development
Abbreviations: AI: Artificial intelligence; DL: Deep learning; ILKM: Industrial large knowledge models; ML: Machine learning.

field of material discovery and synthesis, ILKMs can 5. Conclusion
analyze historical data from the literature to summarize
design guidelines and principles as domain-specific This paper presents a unified ILKM framework to
instructions. These instructions can then guide the address the complex needs of industrial applications
design of new experiments, ultimately facilitating the by integrating advanced AI, ML, and LLM technologies
discovery of new materials. In the area of engineering with specialized industrial knowledge. The “6S Principle”
design, ILKM can assimilate knowledge from multi- serves as a foundational guideline for ILKM development,
modalities (such as text, 2D images, 3D shapes, and aiming to create a domain-specific, interpretable, secure,
sound) gathered from historical products and provide scalable, and sustainable ILKM that meets the demands
possible optimization directions for designers and and challenges in Industry 4.0 and smart manufacturing.
engineers to enhance new product performance. In Moving forward, future research should focus on further
the realm of prognostics and health management, integrating cutting-edge AI and ML technologies,
ILKMs can analyze data from historical failures and continuously refining the framework and its guiding
maintenance strategies to aid in the diagnosis and principles based on real-world applications, and leveraging
prognosis of complex industrial machine systems, this framework to develop innovative approaches for
ultimately enabling predictive maintenance and lifecycle broader adoption across various industrial sectors.
management. Furthermore, intelligent QA platforms In summary, the ILKM framework shows significant
can be developed across various industrial sectors with potential for enhancing the intelligence, efficiency, and
the revolution of ILKM. Instead of manual information resilience of future industries.
searches performed by humans, ILKM can automatically Acknowledgments
retrieve relevant information and generate responses,
thus assisting employees with their queries. None.

Volume 1 Issue 2 (2024) 45 doi: 10.36922/ijamd.3681