【作者】 王士新； 张国山； 邴志刚；

【Author】 WANG Shi-xin ZHANG Guo-shan BING Zhi-gang(1.School of Electrical Engineering & Automation,Tianjin University,Tianjin 300072,China;2.Tianjin Branch,China Chemical & Petroleum Corporation,Tianjin 300271,China;3.Department of automation,Tianjin University of Technology and Education,Tianjin 300222,China)

【机构】 天津大学电气与自动化工程学院； 天津工程师范学院自动化系；

【摘要】 以炼油常减压装置的常压蒸馏塔为研究对象,采集数据并进行处理,运用多元线性回归、BP神经网络和RBF神经网络多种方法研究并建立了其常二线产品轻柴油凝点的软测量模型,并在装置DCS系统上试运行,取得了较满意的测试拟合效果.更多还原

【Abstract】 In this paper,the atmosphere distillation column of distillation plant in a refinery factory is studied. Some soft measurement methods such as linear regress return,BP Artificial Neural Networks,RBF Artificial Neural Networks and so on are analyzed.By collecting process data and operating on it,the soft measurement model of pour point of fight diesel oil in the atmosphere distillation column fine two is established.In DCS sys- tem,the model nms well and gets good fit results.更多还原