CONTROL OF THE COMPOSITION OF ORE FLOWS

Key laboratories carrying out the project are

– Educational and scientific laboratory «Mining»

– Educational and scientific laboratory «Artificial intelligence and cybersecurity»

Project description:

The project is aimed at creating an intelligent system for quality control of ore raw materials directly during its transportation and processing. The solution allows you to receive information about the characteristics of the ore flow in real time and quickly adjust the parameters of technological processes.

For mining and processing plants, the quality of the feedstock is one of the key factors determining production efficiency. At the same time, traditional control methods are based on periodic laboratory analysis and do not allow timely response to changes in ore composition.

The system being developed provides continuous monitoring of raw material parameters directly on conveyor lines and production sites. The data obtained is used to optimize the operation of mills, improve charging processes, increase enrichment efficiency and reduce technological losses.

Particular attention is paid to the use of artificial intelligence algorithms to identify hidden patterns in production data and formulate recommendations for optimizing technological modes.

Key technology solutions:

• Online analysis of ore flow composition;

• Intelligent data processing;

• Control of mill loading;

• Optimizing grinding processes;

• Monitoring the status of conveyor systems;

• Detecting ore contamination;

• Integration with digital production twins;

• Decision support systems.

Practical effect and results

The enterprise receives the opportunity to quickly manage the quality of raw materials and technological parameters of production. This allows you to increase the extraction of useful components, reduce ore losses, reduce energy costs and ensure more stable operation of processing equipment.