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Digital Transformation of Operational Data of Intelligent Hardware and Software Systems for Automation and Robotization of Mining Operations

The trend towards the promotion of technological complexes of large unit capacity and the transition to robotic mining are fundamentally changing the requirements for geomechanical support for mining operations.At the same time, the well-known methodologies used, which are limited to obtaining constant physical characteristics of rock samples based on experimental and theoretical mechanics of deformable media, do not describe the variability of rock masses. The existing significant unused technological reserves of the operation of mining complexes in variable rock masses are not revealed by methods for obtaining average values of generalized, calculated indicators of the characteristics of the mechanical properties of rocks. As a result, decisions are made on the basis of non-objective data that depends on the subjective component.A new approach is proposed for the digital transformation of objective hardware monitoring data for the operational management of mining operations. A hardware-software complex has been developed for monitoring changes in the energy performance of the excavator in the inter-well space. The indicators are used as criteria for evaluating the parameters of the excavator face, which determine the capacity of the excavator: the quality of working out the bench bottom; granulometric composition of the broken rock mass and characteristics of the broken-rock disintegration. The design of the proposed hardware-software complex contains an inertial measurement unit (IMU) consisting of a MEMS accelerometer, a gyroscope, a barometer and a magnetometer that measures the orientation of the excavator bucket in space and the energy parameters of scooping.