Технологии Big Data в системах контроля качества металлургического производства

Abstract

The paper considers the application of Big Data technologies in quality control systems in metallurgical production. The concept of a technological pyramid is introduced on the basis of which an approach to solving the problem of the optimal assignment of technological routes is developed and it is shown how this approach can be used to reduce the level of manufacturing defects. The proposed methods are aproved at the «Severstal» metallurgical plant within the framework of the AS SPС project (automated system for statistical production control).