Prospects for the use of artificial intelligence capabilities in the production of gypsum-concrete tongue-and-groove boards

Abstract

This paper explores the prospects of applying artificial intelligence (AI) technologies in the production of gypsum concrete tongue-and-groove panels. The main stages of the manufacturing process are analyzed in terms of the potential for implementing intelligent systems, including automated mix design, quality control of raw materials and finished products, as well as optimization of logistics and energy consumption. Special attention is given to the use of machine learning methods for predicting the strength characteristics of panels based on raw material parameters and production conditions. It is noted that the integration of AI contributes to increased precision, reduced production costs, and improved environmental sustainability. The study emphasizes the high potential of digitalization and the adoption of intelligent technologies in the construction industry.