Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31742
Condition Monitoring System of Mine Air Compressors Based on Wireless Sensor Network

Authors: Sheng Fu, Yinbo Gao, Hao Lin


In the current mine air compressors monitoring system, there are some difficulties in the installation and maintenance because of the wired connection. To solve the problem, this paper introduces a new air compressors monitoring system based on ZigBee in which the monitoring parameters are transmitted wirelessly. The collecting devices are designed to form a cluster network to collect vibration, temperature, and pressure of air cylinders and other parameters. All these devices are battery-powered. Besides, the monitoring software in PC is developed using MFC. Experiments show that the designed wireless sensor network works well in the site environmental condition and the system is very convenient to be installed since the wireless connection. This monitoring system will have a wide application prospect in the upgrade of the old monitoring system of the air compressors.

Keywords: Condition monitoring, wireless sensor network, air compressor, ZigBee, data collecting

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 986


[1] Sheng Fu, Jing Li, Yabin Zhang, “Fault Diagnosis System for Reciprocating Air Compressor Based on Support Vector Machine”, The 2009 International Workshop on Information Security and Application, Qingdao, China, 2009, pp. 546-549.
[2] Bao Chang-fu, Yang Chuan-qi, “Remote On-line Monitoring System for Air Compressor Used for Mine Based on Configuration Technology,” Coal Mine Machinery, vol. 33, no. 2, pp. 236-238, 2012.
[3] Sheng Fu, Hao Lin, “Design of Mine Ventilators Monitoring System Based on ZigBee”, Applied Mechanics and Materials, v 385-386, pp. 626-630, 2013.
[4] Wu Jian, Yuan Shen-fang, Shang Ying, et al, “Wireless Sensor Networks and Application Research Based on ZigBee Technology,” Measurement & Control Technology, vol. 27, no. 1, pp. 13-16, 2008.
[5] Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal, “Wireless sensor network survey,” Computer Networks, vol. 52, pp. 2292-2330, 2008.