文献类型：会议论文

英文题名：Research on coal face ventilation reliability with data fusion approach

作者：Zhou, Chao[1,2]; Wang, Mingzhe[1]

机构：[1] Department of Commercial Management, China Institute of Industrial Relations, Beijing 100048, China; [2] School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

会议论文集：2010 International Conference on Management and Service Science, MASS 2010

会议日期：24 August 2010 through 26 August 2010

会议地点：Wuhan

语种：英文

外文关键词：Coal - Coal industry - Coal mines - Computational fluid dynamics - Data fusion - Mine ventilation - Reliability

外文摘要：The ventilation system conveys fresh air into laneway, dilutes the noxious gases, and keeps the working environment safe and reliable, how to evaluate the performance or reliability of ventilation system has been one of the important issues in coal mine safety research field. The reliability of underground coal face ventilation was discussed in this paper based on multi-sensor system data fusion approach. A partial-fusion architecture were built and a new basic probability assignment(BPA)based on distance function approach was brought forward. The final case study showed a good effectiveness and feasibility of the data fusion approach. ? 2010 IEEE.