Methodology for the construction of predictive analysis systems as exemplified by the mining equipment in the conditions of big data and simulation methods

Abstract

The scientific methods aimed at introducing of IT for processing large volumes of data with distributed infrastructure based on intelligent agents and parallel algorithms are considered. The emphasis is made on innovative methods based on intellectual agents and principles of Industry 4.0. The implementation and simulation of parallel algorithms for processing big data and decision-making trees are carried out. Currently, almost all elements of economic activity somehow exist according to the laws of macroeconomics. This is facilitated by the rapid development of international relations, the acceleration of logistics operations, political, religious, cultural integration and unification at the level of interstate relations and interactions (as a result of the evolution of state-formed market systems). At the same time, every year more and more significant influence on macroeconomics is played by minor global factors that were previously practically not taken into account, such as climate change, growth of the world population, etc. Thus, today, every company seeking to be efficient and profitable needs to focus not only on the laws of the domestic market, but also on global trends when building it’s strategies and implementing tactical tasks. All the above prerequisites gave rise to a new concept of production development, called Industry 4.0. Previous scientific and technological revolution led to the automation of individual processes and devices, while Industry 4.0 provides for the end-to-end digitization of all physical assets and their integration into the digital ecosystem along with the assets of partners involved in the value chain.