smart technology

DETERMINATION OF HOPPER FULLNESS OF SMART SCREW PRESS USING MACHINE LEARNING

Problem statement. This research addresses the challenge of accurately determining the fullness of the hopper within a screw press for optimal oil extraction efficiency and quality. Existing weight or volume-based measurement methods can often struggle with determining the feed hopper fullness due to variable oil weights during extraction stages, material heterogeneity, environmental influences and imprecise instrument calibration. Purpose.

Implementation of Smart Technologies in the Mine

The basic methods and principles of mine safety systems have been considered in the paper. The algorithm of one possible smart device (smart helmet) is depicted. This algorithm describes the basic principles of this device. The device allows to find danger in the environment where the miner works, as well as monitors the condition of the miner. It can also quickly analyze this information and report the danger when it is detected. The system has been developed and programmed including basic modules for implementing this algorithm.