Empress Catherin II St. Petersburg Mining University, St. Petersburg, Russia:

S. A. Martynov, Cand. Eng., Assistant, Dept. of Automation of Technological Processes and Production, e-mail: martynov_sa@pers.spmi.ru
D. A. Pervukhin, Dr. Eng., Prof., Dept. Systems Analysis and Management, e-mail: pervukhin_da@pers.spmi.ru

The article discusses the methodology for determining the positioning of the working end of a carbon graphite electrode in the space of an ore-thermal furnace to determine the position of the reaction zone and regulate the stability of the electric mode of operation of the furnace. The proposed technical solution allows you to determine in real time the flow rate of the working electrode, which can indicate to the operator that there is a deviation from the technological regulations of the electric and / or technological mode of operation of the furnace and allows you to develop a control action to regulate the position of the working end of the electrode. The installation of special load cells located at the junction of the cable on which the electrodes are suspended and the installation of a laser rangefinder to determine the coordinates of the upper end of the electrode is justified. This approach makes it possible to monitor the change in the mass of the electrode in real time. Considering that the electrodes are of the same type, the algorithm is designed to determine the position of the working end of the electrode in the space of the orethermal furnace, taking into account the power released in the electrode space, it becomes possible to control the situation in the reaction zone. The introduction of a new controlled parameter allows us to judge the presence of deviations from the regulatory values in the RTP operation mode, while it becomes possible to adjust the position of the electrode in a timely manner, adjust the composition of the charge, and the height of its filling in parallel with the selection of the furnace transformer stage to ensure stable operation of the furnace unit.
The study was supported by the Russian Science Foundation grant No. 22-29-00397. Topic: “Digital automated system for monitoring and managing the material and energy balance of silicon production. "Smart" silicon production shop - intelligent neuro-complexes”.

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