An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, trad...
Saved in:
Main Authors: | Yi Sun, Faxiu Ji |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/488 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A wireless sensor network for coal mine safety powered by modified localization algorithm
by: Hafiz Zameer ul Hassan, et al.
Published: (2025-01-01) -
Optimizing design and stability of open pit slopes in Tolay coal mine, Ethiopia
by: Eyerusalem Alemayehu, et al.
Published: (2025-01-01) -
Fusion Features-Based Entity Recognition Method for Safety Knowledge of Non-Coal Open-Pit Mine
by: Ziji Ma, et al.
Published: (2025-01-01) -
Research on Intelligent Monitoring and Protection Equipment of Vital Signs of Underground Personnel in Coal Mines: Review
by: Yuntao Liang, et al.
Published: (2024-12-01) -
Study on the safety distance determination model for natural gas wells in Ordos Basin subsidence areas of coal mining
by: Wen Wang, et al.
Published: (2025-01-01)