Title :
Research on the intelligently early warning of the mine safety based on the multi-sensor data fusion technology
Author_Institution :
Dept. of Comput. Sch., China Women´´s Univ., Beijing, China
Abstract :
The key to the intelligently early warning technology of underground mine hazards is the accurate and reliable data collected with multi-sensor timely and efficiently. In the paper, the hierarchical clustering algorithm is applied to realize the 3 hierarchical clustering application combined with the data type of hierarchical clustering and value of the security standards, in which the complementary of multi-source information is made full use of to shield its redundancy. And the application of coding technology of the definition of data frame deals with data transfer and optimization of transmission by events triggered, effectively improving the accuracy and reliability of deviation data and emergency response data, to improve the efficiency of wireless sensor network data collection and transmission.
Keywords :
alarm systems; data acquisition; encoding; hazards; mining; occupational safety; pattern clustering; production engineering computing; sensor fusion; wireless sensor networks; coding technology; data transfer; hierarchical clustering algorithm; intelligently early warning technology; mine safety; multisensor data fusion technology; multisource information; security standards; transmission optimization; underground mine hazards; wireless sensor network; Classification algorithms; Clustering algorithms; Volume measurement;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643843
