文章基本信息

标题：Coal Burn Detection Using Wireless Sensor Network with Evidence Combination
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作者：M.Syed Mohamed ; M.Mohamed Sathik ; K.Senthamarai Kannan 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：5
页码：35-38
出版社：International Journal of Soft Computing & Engineering
摘要：It is a well known fact that the coal required for the operation of the Thermal Power Plants is stored in a Coal Yard. But, the difficulty of using the Coal yard is the nature of the self burning of the coal. At atmospheric temperature, the coal burns itself and becomes ash reducing the quality of the coal. A lot of de–ashing methods are available such as pouring water which further reduces the quality of coal. The present method of de- ashing by adding water in large quantity leads to decrease the quality of coal. Hence, it is necessary to detect and predict fire in Coal yard more promptly and accurately to minimize the quality of coal. This paper introduces an efficient and intelligent smart system for coal fire detection using wireless sensor network with evidence combination.
关键词：Coal burn; SVM; Dempster Shafer ; Classifer;Wireless Sensor Network