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Intelligent Gas Risk Assessment and Report Generation for Coal Mines: An Innovative Framework Based on GLM Fine-tuning

2024-12-24

Abstract excerpt

Traditional coal mine gas risk assessment methods rely on manual processes, leading to inefficiencies, incomplete information integration, and low accuracy, which hampers effective safety supervision. To address these issues, we propose an Intelligent Gas Risk Assessment and Report Generation Framework (IGRARG), based on fine-tuning a Generative Language Model (GLM). This framework integrates multi-source sensor d...

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Literature Corpus work
872a032e-aafe-5026-8075-bd5ae1999fee
DOI
10.20944/preprints202412.1958.v1
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Intelligent Gas Risk Assessment and Report Generation for Coal Mines: An Innovative Framework Based on GLM Fine-tuningDOI 10.20944/preprints202412.1958.v1
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