DocumentCode :
2293191
Title :
Improved coal mine dust monitoring system based on fuzzy information fusion
Author :
Ma Fengying ; Zang Hongyan
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Shandong Inst. of Light Ind., Jinan, China
Volume :
8
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
4430
Lastpage :
4434
Abstract :
In order to increase dust measurement precision and real-time capacity, an improved dust monitoring system was presented. One master with three extensions was adopted at measuring point and the data fusion was adopted. Furthermore, to solve the problem of coal-dust explosion limit reducing once the gas gathering occur, the explosion parameters were detected by multi-sensor and the information of dust, gas concentration and temperature from sensors were carried on fuzzy processing to be fused based on fuzzy information and fusion theory. The system can finish fusion computing and decision-making of various system parameters to realize the early prediction for mine explosion successfully. The experimental results indicate that the discerning accuracy and reliability of mine explosion detection system is greatly increased based on fuzzy information and data fusion. It is concluded that the system is of great significance to coal mine production safety.
Keywords :
coal; dust; fuzzy set theory; mining industry; process monitoring; safety; sensor fusion; coal mine dust monitoring system; coal mine production safety; coal-dust explosion limit; data fusion; dust measurement precision; fuzzy information fusion; fuzzy processing; multi-sensor; real-time capacity; Data mining; Explosions; Monitoring; Real time systems; Sensor fusion; coal mine; data fusion; dust real time detection; fuzzy information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583500
Filename :
5583500
Link To Document :
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