(中南工业大学应用物理与热能工程系， 长沙 410083)
摘 要: 介绍了渣贫化电炉生产过程智能决策支持系统(IDSS)的结构和功能，论述了 以模糊决策规则为基础的知识库和模型库。该系统具有自学习和自适应功能。仿真结 果表明，用该系统优化出的操作参数指导生产可有效降低单位产品的能耗和有价金属的随渣损失，获得良好的生产指标。
关键字: 电炉 节能 优化 决策
（Department of Applied Physics and Heat Engineering,
Central South University of Technology, Changsha 410083）
Abstract:The structure and function of an intelligent decision support system(IDSS) were introduced for the process of slag cleaning furnace. The knowledge-base and model-base, based on fuzzy decision rules, were specially presented. Simulation results showed that the IDSS has ability of self-learning and self-adapting and can be applied to process decision to decrease the metal loss in slag and the power consumption.
Key words: electric furnace energy saving optimization decision
