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Research on wireless monitoring system for internal temperature field of coal gangue mountain

Authors :
Xiaofei Liu
Chunhao Liang
Jifa Qian
Xiaolin Li
Xuemei Li
Baoli Li
Guang Xu
Bin Zhou
Source :
Case Studies in Thermal Engineering, Vol 66, Iss , Pp 105742- (2025)
Publication Year :
2025
Publisher :
Elsevier, 2025.

Abstract

In the long-term accumulation process, coal gangue can lead to severe consequences such as spontaneous combustion and explosions due to external factors. Additionally, the coal gangue that ignites spontaneously significantly pollutes the land and groundwater, causing serious risks to the health and safety of individuals living and working in the vicinity. Therefore, to mitigate the risk of spontaneous combustion resulting from the long-term accumulation of coal gangue, a monitoring system based on LoRa wireless communication technology is proposed to collect and monitor the internal temperature of coal gangue mountains in real time. In the laboratory, active temperature rise monitoring was conducted on the simulated coal gangue pile to effectively observe the range of temperature diffusion. Simultaneously, field tests were performed in the coal gangue mountain at the coal mine. The laboratory simulation and field test results demonstrate that the system can effectively monitor the internal temperature changes of the gangue mountain, particularly within the horizontal range of 0–0.2 m near the heat source and the vertical range of 0–0.3 m. In addition, the system test indicates that the maximum effective transmission distance for penetration between the main control station and the node is 8 m, while the distance between the nodes is 7.14 m. The system demonstrates strong feasibility for monitoring and providing early warnings regarding the internal temperature of the coal gangue mountain.

Details

Language :
English
ISSN :
2214157X
Volume :
66
Issue :
105742-
Database :
Directory of Open Access Journals
Journal :
Case Studies in Thermal Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.82a2559365b74af3beff3c724b9900a4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csite.2025.105742