NDLI: Improved coal mine dust monitoring system based on fuzzy information fusion

Content Provider	IEEE Xplore Digital Library
Author	Ma Fengying Zang Hongyan
Copyright Year	2010
Description	Author affiliation: College of Electronic Information and Control Engineering, Shandong Institute of Light Industry, Jinan, China (Ma Fengying; Zang Hongyan)
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.
Starting Page	4430
Ending Page	4434
File Size	242126
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems dust real time detection data fusion fuzzy information Sensor fusion Explosions coal mine Data mining Monitoring
Content Type	Text
Resource Type	Article

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