Title :
Monitoring and Forecast Method of Mine External Fire
Author :
Ren, Hui ; Jiang, Wei ; Lü, Chaohui ; Bai, Shilei
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Abstract :
Mine fire poses a serious impact on production safety of the mine and personal safety. Mine fire includes internal and external fire. Current monitoring methods can not satisfy the safe production due to their lower accuracy and validity. A new method was proposed to monitor and forecast the mine external fire in this paper. The proposed method analyzed the mine fire infrared image and several parameters such as temperature, smoke, CO, CO2, O2 etc., and finally made monitoring and forecast of the mine fire based on neural network. Experimental results show that our approach has high accuracy rate.
Keywords :
computerised monitoring; fires; forecasting theory; mining industry; neural nets; occupational safety; fire forecasting; fire monitoring; mine fire; neural network; occupational safety; personal safety; production safety; Charge coupled devices; Condition monitoring; Fires; Image analysis; Image segmentation; Infrared imaging; Neural networks; Product safety; Production; Temperature;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.492
