SGC is a self-learning, adaptive advanced controller. SGC combines different AI techniques to reach an optimum control performance. Fuzzy logic is used for controlling purposes while deep learning, pattern search and neural network techniques are responsible for adaptive optimization of the fuzzy controller performance.
Finally the dynamic modelling module provides valuable information about mill to the controller and plant operators.
Moreover, our vision is to make our solutions accessible and available to the wide range of customers. Therefore, we have developed AI tools for a quicker and more accurate modification and calibration of SGC for each plant. These tools allow us to shorten implementation time, and reduce its cost by around
both small and large mineral processing palnts. Furthermore, through our pilot projects we minimize the investment risks
for clients and make their processing plant more efficient, sustainable and profitable.