Soft computing models in an intellectual open-pit mines transport control system

Abstract

This article focuses on the development of control mechanisms of open pit mine robotized transport system. Method for the state of the technological roads identification with the use of fuzzy inference mechanisms is discussed. The structure of the control system is presented. The possibilities of the use of telemetry data for a wide range of important technological problems, which, anyway, are reduced to problems of interpretation of the data, object identification, forecasting of parameters and the interaction of robotic agents control are discussed. The examples of the formal setting of some of these problems which based on the soft computing are presented. Considered in detail the problem of identification of the open pit mine roadway. The procedure for organizing and conducting dump truck onboard experiments is described. The features of the main control parameters are analyzed. The mechanism of using the telemetry data processing in common with fuzzy inference tools is presented. The main stages of the experiment telemetry data processing are described.