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Conditions for through-process analysis of product surface in steel manufacture

机译:钢铁生产中产品表面全过程分析的条件

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摘要

In the steel industry, there is a trend to equip an increasing number of production lines with camera-based inspection systems to monitor the surface quality of the steel. These systems are dedicated to automatically detect and classify surface defects. When camera systems are used in different processing lines where the steel subsequently passes through, it becomes possible to track the surface quality through the chain. Linking through process data enables fast root cause analysis and optimisation of manufacturing practice to minimize the defect level. The evaluation of the changes in surface condition through the process is hampered by problems in data synchronisation, changes in product geometry (scaling), parts of the product that are taken out of the process chain (slit edges, cut off heads or tails) and delays in the processing chain (e.g. due to maintenance of a production line). This paper highlights the conditions and encountered problems in integrated process analysis in an industrial environment.
机译:在钢铁行业,趋势是越来越多的生产线都配备了基于摄像机的检查系统,以监控钢材的表面质量。这些系统专用于自动检测和分类表面缺陷。当照相系统用于随后通过钢材的不同生产线时,就可以通过链条跟踪表面质量。通过过程数据进行链接可以进行快速的根本原因分析,并可以优化生产实践,以最大程度地减少缺陷水平。数据同步问题,产品几何形状的变化(缩放),从过程链中取出的产品零件(狭缝边缘,切除的头或尾)和加工链中的延迟(例如由于生产线的维护)。本文重点介绍了工业环境中集成过程分析的条件和遇到的问题。

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