The current stage of development of open-pit mining is characterized by mining operations at great depths. Increasing the depth of quarries leads to an increase in the volume and distance of transportation of overburden and ore. Therefore, the task of building energy-efficient transport systems, improving the efficiency of existing belt conveyors of mining transport systems is one of the most urgent tasks. The article examines the efficiency of belt conveyors in mining transport systems mining complexes . Various electric drive systems that can be used on conveyors are compared. We have studied the relative inclination that affects the efficiency of conveyors, as well as parameters related to energy consumption, such as the speed of the belt or the width of the belt, as well as design methods. Various methods of controlling adjustable and non-adjustable electric drives and drag distribution effects drag distribution depending on the flow, the dependence of the belt tilt speed range on the flow, the dependence of power on the flow and the influence of gravity, the energy consumption of the conveyor system is calculated for different traction forces.

The main requirements for an intelligent measuring channel are considered in the article when designing automated control and control systems. The methods for estimating errors are classified and the constituent groups are classified, and some methods for calculating the errors of measuring means and measuring modules of automatic control systems are given.

As part of neural network systems, an artificial neural network can perform various functions like diagnostics of technological equipment, control of moving objects and technological processes, forecasting situations, as well as assessing the state and monitoring of technological processes.

The main requirements for an intelligent measuring channel are considered in the article when designing automated control and control systems. The methods for estimating errors are classified and the constituent groups are classified, and some methods for calculating the errors of measuring means and measuring modules of automatic control systems are given.

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