Published: 2025

Chemical process safety domain knowledge graph-enhanced LLM for efficient emergency response decision support

CATEGORIES

RISK-BASED PROCESS SAFETY ELEMENTS

Research Summary

Explores knowledge-graph-enhanced LLMs for process safety emergency response, using prompt engineering to improve reasoning and decision support (e.g., integrating domain ontologies for accurate outputs). Relevant to PSM for real-time emergency management (RBPS 9p), reducing response time/errors in incidents by grounding LLM outputs in chemical/process safety knowledge, with applications in decision-making, procedure guidance, and risk mitigation. (102 words)

AUTHORS

C. Zheng, et al.

CITATIONS

Chen Zheng, Guohua Chen, Honghao Chen, Qiming Xu, Yimeng Zhao, Yuanfei Zhao, and Yunfeng Yang, “Chemical process safety domain knowledge graph-enhanced LLM for efficient emergency response decision support,” The Canadian Journal of Chemical Engineering, Apr. 24, 2025, doi: 10.1002/cjce.25700.

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