Research on Intelligent Remote Monitoring System for Shearers Based on Domestic Software and Hardware

To address the issue that most current remote monitoring systems for shearers in China rely on imported hardware and configuration software, an intelligent remote monitoring system for shearers based on domestic software and hardware was designed. The system hardware utilizes an FT-2000+/8-core processor paired with the domestic Galaxy Kylin operating system. Software development employs open-source VUE and Flask frameworks to achieve a front-end and back-end separation. First, the overall architecture of the monitoring system was constructed, and the functional requirements of the intelligent remote monitoring system were outlined. Next, a Web-based remote monitoring system for shearers was developed, proposing an automatic cutting method for shearers that combines a 3D geological model with a 22-quadrant cutting approach, along with a logical model for the database. Finally, relevant experiments were conducted, and the results demonstrate that the designed intelligent remote monitoring system based on domestic software and hardware can achieve real-time monitoring and control of coal mining operations.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eecr64516.2025.11077268
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Intelligent Remote Monitoring System for Shearers Based on Domestic Software and Hardware

Dong Wei, Futao Li, Lei Si
Advanced Sensor and Control Systems
article

Research on Intelligent Remote Monitoring System for Shearers Based on Domestic Software and Hardware

Dong Wei, Futao Li, Lei Si
article en

Abstract

To address the issue that most current remote monitoring systems for shearers in China rely on imported hardware and configuration software, an intelligent remote monitoring system for shearers based on domestic software and hardware was designed. The system hardware utilizes an FT-2000+/8-core processor paired with the domestic Galaxy Kylin operating system. Software development employs open-source VUE and Flask frameworks to achieve a front-end and back-end separation. First, the overall architecture of the monitoring system was constructed, and the functional requirements of the intelligent remote monitoring system were outlined. Next, a Web-based remote monitoring system for shearers was developed, proposing an automatic cutting method for shearers that combines a 3D geological model with a 22-quadrant cutting approach, along with a logical model for the database. Finally, relevant experiments were conducted, and the results demonstrate that the designed intelligent remote monitoring system based on domestic software and hardware can achieve real-time monitoring and control of coal mining operations.

China University of Mining and Technology (CN)
Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 76%
Advanced Sensor and Control Systems
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