<p>The present paper presents a novel system for accurately monitoring the burden descent rate in a blast furnace, a critical metric for enhancing operational performance. Utilizing advanced sensor technology, the system continuously measures the burden level within the furnace, providing real-time insights into material dynamics. The method employs a noise cancelation strategy, focusing on intervals when hoppers are closed to ensure that the data reflect only the natural descent of the burden, minimizing disturbances from refilling activities. By analyzing these selectively gathered data, the system calculates a precise descent rate, which serves as an important indicator of operational efficiency and potential issues such as uneven burden distribution or gas flow disruptions. This real-time monitoring capability enables proactive management of the blast furnace, allowing operators to identify and address inefficiencies promptly, thus optimizing resource utilization and reducing downtime. The insights gained from this approach provide valuable guidance for informed decision-making, ultimately supporting improved furnace efficiency and productivity. Overall, the proposed system contributes to the advancement of blast furnace management practices by enhancing understanding of operational dynamics and enabling data-driven interventions.</p> Graphical Abstract <p></p>