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。
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.
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
1997年第2期46-49,共4页
The Chinese Journal of Nonferrous Metals
基金
中国有色金属工业总公司高新技术科研基金
关键词
电炉
节能
优化
决策
IDSS
electric furnace energy saving optimization decision
