Advanced predictive quality control strategy involving different facilities
Advanced predictive quality control strategy involving different facilities
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DOI：
10.1007/s00170-012-4562-9
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Joaquín B. Ordieres Meré;A. González‐Marcos;F. Alba‐Elías;C. Menéndez-Fernández
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文献类型：
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作者：
Joaquín B. Ordieres Meré;A. González‐Marcos;F. Alba‐Elías;C. Menéndez-Fernández
许多行业都使用高科技解决方案来提高所有产品的质量。钢铁行业就是一个例子。钢铁行业使用多种自动表面检测系统来识别各种类型的缺陷，并帮助操作员根据评估过程决定是否接受、重新安排或降级材料。本文的重点是推广一种以综合方式考虑所有缺陷的策略。它通过高斯加性影响函数来管理由于不同工艺条件而导致的缺陷确切位置的不确定性，从而实现这一点。该方法的相关性在于使表面检测系统之间的一致性和可靠性成为可能。获得的结果是对自动检查系统的信心增加，以及引入改进的预测和先进的路由模型的能力。该预测被提供给技术操作员以帮助他们进行决策。它显示了通过减少 40% 因特定缺陷而在热轧带钢轧机中降级的卷材所获得的改进。此外，与以前的方法相比，该技术有助于将清洁设施后缺陷存留估计的准确性提高 50%。所提出的技术是通过基于软件的多代理解决方案来实现的。它使得信息的独立处理、呈现、质量分析和其他相关功能成为可能。
There are many industries that use highly technological solutions to improve quality in all of their products. The steel industry is one example. Several automatic surface-inspection systems are used in the steel industry to identify various types of defects and to help operators decide whether to accept, reroute, or downgrade the material, subject to the assessment process. This paper focuses on promoting a strategy that considers all defects in an integrated fashion. It does this by managing the uncertainty about the exact position of a defect due to different process conditions by means of Gaussian additive influence functions. The relevance of the approach is in making possible consistency and reliability between surface inspection systems. The results obtained are an increase in confidence in the automatic inspection system and an ability to introduce improved prediction and advanced routing models. The prediction is provided to technical operators to help them in their decision-making process. It shows the increase in improvement gained by reducing the 40 % of coils that are downgraded at the hot strip mill because of specific defects. In addition, this technology facilitates an increase of 50 % in the accuracy of the estimate of defect survival after the cleaning facility in comparison to the former approach. The proposed technology is implemented by means of software-based, multi-agent solutions. It makes possible the independent treatment of information, presentation, quality analysis, and other relevant functions.