基于改进同步迭代算法的矿井煤尘检测  

Coal Dust Detection Based on Improved Simultaneous Iterative Reconstruction Technique

作　　者：童敏明[1] 魏明生[1,2] 郝继飞[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,徐州221008 [2]徐州师范大学物理与电子工程学院,徐州221116

出　　处：《自动化与仪表》2012年第2期6-8,52,共4页Automation & Instrumentation

基　　金：国家高技术研究发展计划(863计划)项目(2006AA06Z119)

摘　　要：为了对矿井煤尘颗粒进行实时监测,提出了消光法和过程层析成像技术相结合的消光层析法,设计了基于阵列式传感器的测量电路,在数据重建中引入了同步迭代算法(SIRT)对实验数据进行重构,并针对该算法速度慢的缺点提出了通过增加权重系数来提高速度的改进方法,以实现工业的在线测量。最后,对设计装置进行了实验分析,实验结果表明该装置能较好地实现煤尘颗粒的在线测量。In order to detect coal dust particles a extinction tomography system,adopting the combining method of light extinction and process tomography was proposed.Firstly,optical sensors array were employed to create the optical sensing field for coal dust concentration;In addition,a novel image reconstruction algorithm,simultaneous iterative reconstruction technique（SIRT）,has been applied and also tested on the modeling.Aiming at the disadvantage that SIRT has a slow speed,some improvements have been made by adding the weighting function.Finally,the results of image reconstruction were presented for simulated which prove that the optical tomography technique based on the multi-sources fan projection can be an effective approach to reflect the coal dust concentration distribution.

关 键 词：煤尘 阵列式传感器 同步迭代重建算法 

分 类 号：TH702[机械工程—仪器科学与技术]