Related Experiment Video
Updated: May 31, 2025
06:37
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
2.6K
An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models.
1School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Sensors (Basel, Switzerland)
|January 25, 2025
Summary
This study introduces an embodied intelligent system using large language models (LLMs) for advanced coal mine safety assessment. The AI system rapidly processes sensor data, detects risks, and enhances safety through physical interactions and historical learning.
Area of Science:
- Engineering
- Computer Science
- Geosciences
Background:
- Traditional coal mine safety assessments struggle with complex, multi-source data.
- Manual methods are limited in processing capacity and cost-effectiveness for dynamic mining environments.
Purpose of the Study:
- To propose an embodied intelligent system for enhanced coal mine safety assessment using multi-level large language models (LLMs).
- To address the limitations of traditional methods in processing heterogeneous sensor data and improving safety perception.
Main Methods:
- Developed a multi-layer system utilizing multiple LLMs for processing multi-source sensor data.
- Integrated LLM tool invocation and reasoning with a coal mine safety knowledge base.
- Incorporated physical interaction for enhanced environmental perception and memory functionality for historical learning.
Main Results:
- The system demonstrated effective processing of multi-source sensor data.
- Achieved rapid and efficient safety assessment capabilities through embodied interactions.
- Successfully performed logical inference, anomalous data detection, and risk prediction.
Conclusions:
- The embodied intelligent system offers an innovative solution for improving coal mine safety.
- LLM-based systems can significantly enhance environmental perception and data processing in mining.
- The study validates the system's effectiveness through simulation and real-world testing.
