Application product: On-line Composition Analyzer

Alumina powder

Online detection of alumina powder can instantly identify batches with excessive impurities, prevent "contaminated-grade" alumina from entering the system at the source, and maintain product purity. At the same time, it provides pre - process feedback signals to achieve "targeted" feeding, stabilize the cell condition, directly reduce the power consumption per ton of aluminum and carbon footprint. By eliminating raw materials with high impurities, it reduces ineffective energy consumption and refining costs, avoids losses such as production stoppages and claims caused by millions of unqualified raw materials entering the factory. It can also flexibly select cost - effective raw materials based on real - time data, meet the standards through online ore blending, and reduce procurement costs. Moreover, it can replace manual sampling in a dusty environment, comprehensively protecting the physical health of employees.

Application product: On-line Composition Analyzer

Anode carbon block

Anode carbon blocks are key consumables in aluminum electrolysis production. Their composition, density, and internal defects directly affect the stable operation of electrolytic cells and energy consumption costs. Traditional offline detection has low efficiency, lagging data, and is prone to missed detections.
Taichu Intelligent Testing adopts multi-modal spectroscopy + AI technology to conduct non-destructive, rapid, and online detection of anode carbon blocks, identify internal defects and compositional deviations in real-time, achieve full-process quality control from production, warehousing to on-line use, improve the qualification rate of carbon blocks, reduce energy consumption and failure risks, and contribute to the intelligent and efficient production of the aluminum electrolysis industry.