喷动流化床流动结构的SHANNON信息熵模糊聚类分析  

APPLICATION OF SHANNON ENTROPY AND FUZZY CLUSTER IN ANALYSIS OF FLOW PATTERNS IN SPOUT-FLUID BED

作　　者：钟文琪[1] 章名耀[1] 

机构地区：[1]东南大学洁净煤发电及燃烧技术教育部重点实验室,江苏省南京市210096

出　　处：《中国电机工程学报》2005年第7期13-17,共5页Proceedings of the CSEE

基　　金：国家重点基础研究发展规划项目(973计划)(G199902210535);江苏省高校研究生创新计划资助项目(XM04-28)~~

摘　　要：在300mm×30mm×2000mm的矩形喷动流化床煤部分气化冷态试验装置上,采用Shannon信息熵和模糊聚类的方法,考察了床内气固流动结构及其转变。多通道信号采集系统用于采集床内不同区域的压力时间序列,通过对时间序列的Shannon信息熵模糊聚类分析,得到了不同操作参数下的Shannon信息熵聚类中心,揭示了流动结构与聚类中心的关系,并对流动结构的转变进行了分析。结果表明,不同流动结构的Shannon信息熵区分度较好,为喷动流化床流动结构及其转变和床内气固两相流动的混沌动力学特性的研究提供了一种新的研究方法。Experimental investigations were carried out in a spout-fluid bed coal gasifier with its cross section of 300mm× 30mm and height of 2000mm. A multi-channels sampling system was employed to sample the pressure fluctuation time serials at various bed locations. Shannon entropy and fuzzy cluster were developed to investigate the flow patterns and their transitions. Relations between the flow patterns and Shannon entropy fuzzy cluster centers were obtained, and the flow pattern transitions were analyzed. Experimental results show that the Shannon entropies are dividing for different flow patterns, which indicated an effective new way to determine the flow pattern transitions and realize the chaotic characteristics of gas solid two-phase interaction in spout-fluid beds.

关 键 词：喷动流化床 流动结构 SHANNON 信息熵 模糊聚类分析 化工过程 

分 类 号：TQ051[化学工程]