Monitoring and Forecast Method of Mine Ezternal Fire

摘要：

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.

作者: Hui Ren Wei Jiang Chaohui Lu Shilei Bai

作者单位: School of Information Engineering, Communication University of China, Beijing 100024

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 889-891

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）