宋双 崔桂梅
(内蒙古科技大学信息工程学院,包头 014010)
关键词：热风炉；组态软件；评价体系；神经网络
中图分类号：TP29 文件标识码：A
摘要：为了提高生产效率与能源利用率，故在此设计一个运行评价的界面，对热风炉在燃烧蓄热过程状态进行监控，对运行性能进行评价，给出热风炉燃的烧状态满意度。通过评价体系选出优良样本，利用BP神经网络预测出最优样本，使下一炉次的燃烧按照最优样本数据燃烧。对评价体系进行模拟运行也取得了预期的控制效果，从而证明了设计的可行性和有效性。
Evaluation system design of monitoringsystem for hot blast stove
Song Shuang Cui Guimei
(School ofinformation engineering, Inner Mongolia University of Science and Technology, Baotou 014010)
Key words: hot blast stove; configuration software;evaluation system; neural network
Abstract:Inorder to enhance productivity and energy utilization rate, an operationevaluation interface was designed which is used for monitoring the state ofblast stove during regenerative combustion, evaluating the operationperformance and giving the degree of satisfaction about the burning state ofblast stove. The good samples were selected using the evaluation system, and theoptimal sample was predicted using BP neural network, so that the optimalsample data were provided for the burning of next stove. The expected controleffect was also achieved by carring out the simulation running of theevaluation system, thus verifying the feasibility and effectiveness of thedesign.