Quality Analysis Method for Hot Strip Rolling Based on Data Mining Technology

摘要

The hot rolling of strip steel is a continuous, multi-staged, complex production process, and there are about one hundred of control parameters which are directly related to the quality of strip steel products in this complicated process. Researches have shown that, according to the industrial characteristics of hot strip rolling, using data mining technology to extract the useful, potential and ultimately understandable process knowledge, and get the corresponding relationship between the strip steel quality defects and control parameters. It can quickly locate the causes of strip steel quality problems, and find out the key control parameters to make adjustments, improve production efficiency and production quality, and reduce economic losses. It provides a scientific and accurate way to analyze the quality problems of hot rolled strip steel products.