The article is devoted to the development of methodology for implementing digital quality control systems in asphalt concrete production. The main attention is paid to the analysis of existing approaches to digitalization of quality control, formation of integrated monitoring system structure and development of step-by-step implementation algorithm. The study includes analysis of traditional control methods problems, justification of digital technologies selection and evaluation of proposed methodology effectiveness. The results show the possibility of increasing technological process stability and reducing control operations time by 35-40%.

Keywords: production digitalization, asphalt concrete quality control, digital transformation, control automation, technological process, information technologies, quality management system

The article discusses the development of an algorithm for automated control and adjustment of technological parameters in the production of asphalt concrete mixtures. The proposed approach is based on the analysis of data on the physical and mechanical properties of mixture components using machine learning methods and statistical analysis. The study includes analysis of existing quality control systems, development of a mathematical model for predicting the properties of the finished mixture, creation of an algorithm for optimizing technological parameters, and conducting experimental studies. The results show the possibility of improving product quality by 15-20% and reducing material consumption by 8-12% when implementing the proposed algorithm. Practical application of the development allows ensuring technological process stability and compliance of the finished product with regulatory requirements.

Keywords: asphalt concrete, pavement quality, data analysis, technological process, components, quality management, modern technologies, and automation