首页|基于模糊层次分析法的热轧板卷表面质量评判模型研究

基于模糊层次分析法的热轧板卷表面质量评判模型研究

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热轧板卷作为钢铁过程中的重要原料,其表面质量情况对钢铁产品的质量有显著的影响,对热轧板卷表面质量情况进行高效准确的判定有重大意义.当前生产现场使用的热轧板卷的表面质量评判过程存在判定规则设计不客观、规则覆盖的质量因素过少、判定分析层次低等痛点问题.以模糊层次分析法(fuzzy ana-lytic hierarchy process,FAHP)为理论指导,通过专家生产经验特征与数据算法相结合的模式,构建热轧板卷表面质量评判层次结构模型,基于模糊数学理论进行隶属度函数选型与函数构造,形成热轧表面缺陷分级隶属度矩阵,根据热轧板卷表面网格化统计分析方法实现热轧板卷表面质量情况的综合评判.通过与生产现场专家表面质量判定数据进行对比,验证了模型结果的有效性,可以实现降低判定人力成本、提升判定效率的目标,达到提高质量管控智能化水平的目的.
Research on surface quality evaluation model of hot-rolled coil based on fuzzy analytic hierarchy process
As an important raw material in the steel process,the surface quality of hot-rolled coil has a significant impact on the quality of steel products,and it is of great significance to determine the surface quality of hot-rolled coil efficiently and accurately.At present,there are some problems in the surface quality evaluation of hot-rolled coils,such as the design of the judgment rules is not objec-tive,the quality factors covered by the rules are too few,and the level of judgment analysis is low.Based on the fuzzy analytic hierarchy process(FAHP)and experiences of the experts,the hierarchi-cal structure model of hot-rolled coil surface quality evaluation was constructed,and the membership function selection and function construction were carried out based on the fuzzy mathematical theory,and the defect classification membership matrix was formed,and the comprehensive evaluation of the surface quality of hot-rolled coil was realized according to the statistical analysis method of steel coil surface meshing.By comparing with the judgment data of the production site,the validity of the model results is verified,which can reduce the labor cost of judgment,improve the judgment efficiency,and improve the intelligent level of quality control.

hot-rolled coilsurface qualityfuzzy analytic hierarchy process(FAHP)membershipgrid-basedquality control

徐昊天、李月林、雷大伟、张琳、麻越

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冶金自动化研究设计院有限公司,北京 100071

冶金智能制造系统全国重点实验室,北京 100071

河钢乐亭钢铁有限公司,河北唐山 063600

热轧板卷 表面质量 模糊层次分析法 隶属度 网格化 质量管控

2024

冶金自动化
冶金自动化研究设计院

冶金自动化

影响因子:0.685
ISSN:1000-7059
年,卷(期):2024.48(3)
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