Integrating Graph Databases and AI for Advanced HAZOP Analysis in Ammonia-Hydrogen Systems

Mokkawes Thirakorn

Published: 21 Apr 2025, Last Modified: 21 Apr 2025AI4X 2025 PosterEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Graph databases, HAZOP analysis, Ammonia-Hydrogen systems, AI-driven safety, Graph traversal algorithms, Neo4j, Natural language processing, Digital twin, Process safety, AI in industry
TL;DR: A novel framework integrating graph databases, AI-driven analysis, and natural language processing to revolutionize HAZOP analysis for Ammonia-Hydrogen systems, enhancing safety, efficiency, and decision-making in complex industrial environments.
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Submission Number: 19

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