硬质合金压力烧结炉优化操作智能决策支持系统及其应用-中南大学学报.pdf

第 39 卷第 5 期 中南大学学报自然科学版( ) Vol.39 No.5 2008 年 10 月 J. Cent. South Univ. (Science and Technology) Oct. 2008 硬质合金压力烧结炉优化操作智能决策支持系统及其应用 1, 2 2 2 2 2 1, 2 蒋寿生 ，鄂加强，彭 雨，李 娟 ，龚金科，袁文华 (1. 邵阳学院 机械与能源工程系，湖南 邵阳，422000； 2. 湖南大学 机械与汽车工程学院，湖南 长沙，410082) 摘 要：为提高硬质合金压力烧结炉的能量利用系数，挖掘生产潜力，采用基于传统的热平衡计算、神经网络、 自适应变尺度混沌优化算法等相结合的集成建模方法研制一套操作优化智能决策支持系统。该系统具有自学习和 自适应的特点，并已成功地应用于硬质合金压力烧结炉中。应用结果表明，用该系统优化出的操作参数指导生产, 各项生产指标显著提高，硬质合金压力烧结炉年产量提高 5.5%，系统终点预报误报率小于 4.5% ，每年实际降低 用电成本约 50 万元。 关键词：硬质合金压力烧结炉；智能决策支持系统；神经网络；混沌优化算法 中图分类号：TF062 文献标识码：A 文章编号：1672−7207(2008)05−1017−06 Operation optimum and intelligent decision support system in cemented carbide pressure sintering furnace 1, 2 2 2 2 2 1, 2 JIANG Shou-sheng , E Jia-qiang , PENG Yu , LI Juan , GONG Jin-ke , YUAN Wen-hua (1. Department of Mechanical and Energy Engineering, Shaoyang College, Shaoyang 422000, China; 2. College of Mechanical and Automotive Engineering, Hunan University, Changsha 410082, China) Abstract: In order to enhance energy using coefficient of cemented carbide pressure sintering furnace and make it give out its potential, an operation optimum and intelligent decision support system was developed based on traditional heat equation calculation, artificial neural network and self adaptive mutative scale chaos optimization algorithm. The system has characteristics of self-study and self adaptation. The system was successfully used in the cemented carbide pressure sintering furnace. The fac