Research on a Monitoring System for High-Voltage Cables in a Coal Mine Based on Intelligent Sensing Technology

TL;DR

This paper presents an intelligent sensing-based monitoring system for high-voltage cables in coal mines, utilizing sensors and cloud-edge computing to detect faults with high accuracy, improving mine power reliability.

Contribution

Introduces a three-layer monitoring architecture combining sensors and computing for real-time fault detection in mine cables, with over 95% diagnostic accuracy.

Findings

Accurately detects insulation defects and overheating risks.

Achieves over 95% fault diagnosis accuracy.

Enhances power supply reliability in coal mines.

Abstract

Given the importance of monitoring the operational status of high-voltage cables in coal mines, this study investigates the application of intelligent sensing technology to the online monitoring of such cables. Taking an actual coal mine as a case study, a three-layer architecture high-voltage cable monitoring system was designed. The system employs high-frequency current sensors and distributed optical fiber temperature sensors to achieve real-time acquisition of partial discharge signals and temperature distribution data. Data analysis and fault diagnosis are performed through a combined approach of edge computing and cloud computing. The research results demonstrate that the system can accurately identify cable insulation defects and potential overheating hazards, with a diagnostic accuracy exceeding 95%, thereby significantly enhancing the reliability of power supply in mines.