Possible Architecture and Some Neuro-Fuzzy Algorithms of an Intelligent Control System for Open Pit Mines Transport Facilities

Abstract

This article is focused on the organization of computational processes in the framework of the intelligent control system of transport and technological processes in the extraction of raw mineral materials in open pit mines. The main problems that researchers and developers face when building unmanned process control systems in quarries are listed. The architecture of the intelligent platform and features of functional tasks that are solved at various levels of the platform are considered. The main focus in on the issue of combined use of models belonging to two different classes: the deliberative type, represented by heuristic expert rules, and the computational type. The algorithm of the interaction of these models used for centralized intelligent control of mobile robots is described. The proposed approach, some obtained results and directions for further research are also discussed.