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作 者:阳春华[1] 段小刚[1] 王雅琳[1] 桂卫华[1]
机构地区:[1]中南大学信息科学与工程学院,湖南长沙410083
出 处:《中南大学学报(自然科学版)》2005年第4期648-652,共5页Journal of Central South University:Science and Technology
基 金:国家"973"重点基础研究发展规划项目(2002CB31200)
摘 要:基于烧结法生产氧化铝生料浆的配料机理和长期积累的专家经验知识,建立了生料浆质量预测模型,开发了适应于生料浆配料生产特点的专家优化配料系统。根据实际生产和配料机理,提出了产生式规则的知识表示形式,结合规则集分类原理,设计了生料浆配料的专家知识库。通过规则集之间的有知识搜索、规则集内部的前向推理、规则前提和结论之间的哈希算法的有机结合来实现推理机制,从而实现专家系统的优化配比计算。实际结果表明:该专家系统优化配比计算速度快、效率高,既提高了生料浆质量,又稳定了生产。Based on the blending theory of raw mix slurry in production of alumina with sintering and on the knowledge from experts, the predictive model of quality of raw mix slurry was presented, and a blending expert system adapting productive features of raw mix slurry in production of alumina with sintering was developed. According to the actual production and blending theory, the knowledge expression form of production rule and the classified principle of rule collection were used, and a blending expert knowledge base of raw mix slurry was designed. Then the inference engine was realized through the hybrid of heuristic search among the rule collections forward chaining in the interior rule collection and Hash algorithm between the precondition and the conclusion of the rule, which implements the match computation. The blending expert system was put in plements t slurry and to service in an alumina smeltery. The actual running results show that the system implements the computation of blending ratio fast and efficiently, improves the quality of raw mix slurry and stabilizes industrial production.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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