Page 170 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

process represents a significant advancement in infrastructure. The system leverages AI for
real-time detection and predictive maintenance, ensuring efficient operation of the plant. The
reduction in the number of personnel required for checks also shows how digital skills can be
better utilized in the industry.

Partner name: Hunan Valin Xiangtan Iron and Steel Co. Ltd

38�2�2 Future work

Future work on the intelligent steel manufacturing equipped with Pangu steel models includes
model development that can be used in other business and production scenarios of steel
milling, create new variations/extensions to the same use case, develop standards related to
the use case in the industry.

Model development, Create new variations/extensions to the same use case, Standards
development related to the use case, Setup reference tools, notebooks and simulation
environment, Others Elaborate proposal: Model development that can be used in other
business and production scenarios of steel milling, create new variations/extensions to the
same use case, develop standards related to the use case in the industry.

38�3� Use case requirements

• AI-ISM-UC38-REQ-001: It is critical that AI for Intelligent Steel Manufacturing which
provide access to smart charcoal blending solutions, based on a platform solution, are
available in local languages.
• AI-ISM-UC38-REQ-002: It is critical that a Chinese steel manufacturing AI platform,
integrates computer vision (CV), graph neural network (GNN), multimodal, and natural
language processing (NLP) to facilitate efficient operations in steel manufacturing.
• AI-ISM-UC38-REQ-003: It is critical that the AI platform allows operators to report data
remotely through voice or text in Chinese, which is critical given the complex script of the
Chinese language and the prevalent use of voice input among Chinese.
• AI-ISM-UC38-REQ-004: It is critical that the platform employs keyword detection
algorithms to extract essential information from operator inputs and automatically
generates comprehensive summary reports for steel manufacturers.
• AI-ISM-UC38-REQ-005: It is crucial to apply network analysis as a collection of integrated
techniques for depicting relationships among SDG-relevant variables and analyzing the
social impacts of these connections.
• AI-ISM-UC38-REQ-006: It is critical that the Machine Learning, and computer vision
models used to estimate the SDG value for the period 2023-2030 from relevant data be
validated by experts.

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