NOUFERROUS METALLURGICAL EQUIPMENT

Addressing the high energy consumption issue in the electrowinning process of zinc hydrometallurgy, this paper employs industrial big data technology to deeply analyze the current and voltage variation characteristics of the anode and cathode plates. Innovatively, it proposes the construction of an energy-saving system for zinc electrowinning based on the integration of the Internet of Things and industrial big data. This system is applied to the control and management of electrolytic tanks in the production workshop, effectively tackling challenges such as dispersed power usage points, numerous locations, lagging data collection and analysis, and low production guidance efficiency. By realizing such functions as automatic data collection, automatic short-circuit detection and localization, production prediction, and precise guidance, the system significantly enhances current efficiency and reduces product energy consumption, providing strong technical support for energy saving and consumption reduction in the zinc electrowinning industry.