Application of Multi-Sensor Data Fusion Method in Coal Spontaneous Combustion Experiment System

摘要：

The coal spontaneous combustion experiment simulated the process of coal spontaneous combustion and created the pre-requisite of the development of the coal spontaneous combustion forecast theory. In view of the characteristic of recent coal spontaneous combustion experiment, this article applies the data fusion method to fuse the monitored information: In terms of data processing, first adopted the distribution diagram theory to reject the negligent errors in the monitored data, on temperature and gas density data, which were monitored in the process of coal spontaneous combustion experiment, second used Bayes estimation method to fuse the monitored data. The practical application demonstrates that the fused results possess higher precision and reliability.

关键词： data fusion coal spontaneous combustion (CSC) monitor system negligent error Bayes estimation

作者: WANG Hua CAO Baoxiang DENG Jun WANG Lianhua Ge Lingmei

作者单位: School of Computer Science,Qufu Normal University,Rizhao 276826,Shandong,China;School of Energy,Xia School of Computer Science,Qufu Normal University,Rizhao 276826,Shandong,China School of Energy,Xian University of Science and Technology,Xian 710054,Shaanxi,China Network Information Center,Qufu Normal University,Rizhao 276826,Shandong,China Department of Chemistry and Chemical Engineering,Xian University of Science and Technology,Xian 71

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1325-1330

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）