文献类型：期刊文献

中文题名：水煤浆气化炉温智能软测量建模

英文题名：Intelligent Soft-sensing Modeling for Temperature of Water-coal Slurry Gasifier

作者：王永红[1];李杰[2];钟伟民[2]

机构：[1]南京化工职业技术学院,江苏南京210048;[2]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237

年份：2012

卷号：33

期号：1

起止页码：56

中文期刊名：自动化仪表

外文期刊名：Process Automation Instrumentation

收录：CSTPCD;;北大核心:【北大核心2011】；

基金：国家自然科学基金资助项目(编号:60804029);上海市重点学科建设基金资助项目(编号:B504)

语种：中文

中文关键词：软测量建模;辅助变量;水煤浆气化;气化炉温度;相关系数法;最小二乘支持向量机

外文关键词：Soft-sensing modeling Auxiliary variable Gasification of water coal slurry Temperature of gasifier Correlative coefficient method LS-SVM

摘要：水煤浆气化装置是实现煤炭资源清洁、高效利用的重要途径。气化炉反应温度是关系到装置能否安全、稳定并长期运行的关键技术指标。针对热电偶测温元件在高温、高压、强气流冲刷环境下难以长周期工作这一问题,以一多喷嘴对置式水煤浆气化炉为研究对象,在气化反应过程机理分析的基础上,结合相关系数法,确定辅助变量,并采用最小二乘支持向量机建立了气化炉温度的智能软测量模型。经模型仿真与实际工业运行数据验证结果表明,该模型拟合精度较高、模型泛化能力较强,可以在热电偶失效的情况下进行气化炉反应温度的监测。
Gasification plant of water-coal slurry is an important way for clean and high efficient usage of coal resource;while the reaction temperature of gasifier is critical technical index related the security,stability and lone term operation of the plant.Due to the difficulty of long period operation of thermocouples under environment of high temperature,high pressure and strong gas flow erosion;with the opposed multiple nozzle water-coal gasifier as the research object,on the basis of analysis on the reaction process mechanism of gasification and combining with correlative coefficient method,the auxiliary variables are setup,by adopting least square support vector machine,the intelligent soft-sensing model of gasifier temperature is established.The result of verification for the data through model simulation and practical industrial operation indicates that the model features higher fitting accuracy and good generalization capability,thus it can be used to monitor the reaction temperature of gasifier in case of thermocouples failed.