Digital modelling technologies in the mining industry: Effectiveness and prospects of digitalisation of open-pit mining enterprises

Abstract

Due to the rapid development of the mining industry and the need to increase its competitiveness, digital modelling technologies for open-pit mining enterprises become a relevant and important direction of research. The aim of this study is to analyse integrated digital models for optimising open-pit mining enterprises, aimed at increasing productivity, ensuring safety, and reducing environmental impact. Among the methods used, it is worth mentioning the analytical method, classification method, functional method, statistical method, synthesis method, and others. During the research, an analysis of integrated digital models for optimising the operation of open-pit mining enterprises was conducted. The implementation of integrated digital models in mining enterprises has led to a significant increase in the level of resource extraction productivity, providing a more efficient organisation of work processes. Improvement in the safety system has also been identified, where these models allowed for timely detection and management of potential risks. In addition, the application of digital modelling technologies has contributed to a significant reduction in negative impact on the natural environment, implementing more environmentally sustainable methods of resource extraction and processing. The integration of digital technologies has allowed optimising work processes, making them more efficient and resilient. The study also emphasises the importance of using digital models in the context of predictive analysis and decision-making. The overall conclusion is that digital modelling technologies are a key tool for achieving optimal functioning of modern mining enterprises. A detailed study of modern optimisation methods for mining enterprises will allow optimising work processes, increasing efficiency, and reducing negative environmental impact