INCREASING THE PRODUCTIVITY OF PROCESSING PRODUCTION

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 a set of engineering and digital solutions aimed at increasing the productivity of sintering and processing industries of metallurgical enterprises.

Modern sintering plants face the need to increase productivity without large-scale equipment modernization. At the same time, it is necessary to improve the quality of the sinter, reduce fuel consumption and increase the stability of technological processes.

The project is conducting a detailed analysis of existing production regimes, introducing intelligent systems for monitoring the sintering process of the sinter, modernizing charge loading units and developing solutions to improve the durability of technological equipment.

Additionally, machine learning algorithms are used to analyze thermal imaging data and generate recommendations for optimizing technological modes in real time.

Key technology solutions:

• Intelligent control of the agglomeration process;

• Thermal imaging monitoring;

• Machine learning (ML) for technology management;

• Upgrading download nodes;

• Increasing the durability of technological elements;

• Optimizing fuel and energy consumption;

• Digital operator support systems.

Practical effect and results:

The implementation of the project makes it possible to increase the productivity of the sinter plant, improve the quality of the sinter, reduce specific fuel consumption and reduce the number of technological downtime. An additional effect is achieved by increasing the reliability of equipment and reducing the cost of its maintenance.