热轧带钢温度缺陷质量检测智能系统的设计与实现:Siderúrgica del Orinoco“Alfredo Maneiro”

Magaly Castro, A. Zambrano, Olga Prado, Yolimar Espinoza, Juan Garcia, E. Morales, Marlon Rojas, J. Temprano
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引用次数: 0

摘要

本工作展示了一个在线智能系统的设计和实现,以确定SIDOR生产的热轧带钢温度缺陷的质量状况。提出的系统是基于专家系统、公司标准自动化平台和信号处理技术的组合。专家系统的规则是由质量保证专家提出的,他们在识别热轧带钢温度缺陷方面拥有丰富的专业知识,这些缺陷间接决定了材料的机械性能。系统的整个体系结构是根据软件工程实践设计的。结果表明,该系统成功地识别和应用了轧机生产的带钢的质量状态,初始性能为留卷率34.5%,松卷率12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of an intelligent system to detect quality state of temperature defects in hot rolled strips: At Siderúrgica del Orinoco "Alfredo Maneiro"
This work show the design and implementation of an on-line intelligent system to determine the quality status of temperature defects in the hot rolled strips manufactured by SIDOR. The proposed system is based on a combination of expert systems, the standard automation platform of the company, and signal processing techniques. The rules of the expert system were proposed by quality assurance experts, who hold a huge expertise identifying temperature defects in the hot rolled strips, which indirectly determine the mechanical properties of the material. The entire architecture of the system was designed according to software engineering practices. The results shows the system is successful identifying and applying the quality status of each strip manufactured by the mill, with an initial performance of 34.5% of retained coils, and 12% of released coils.
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