Diagnosis and Decision Analysis System of High Temperature Molten Aluminum Cell based on Neural Network

Abstract

In the production process of electrolytic aluminum large-scale electrolyzers, the operating environment temperature is high and the current intensity is high. A large amount of heat radiation will appear in the production process, which is easy to cause damage to the electrolytic cell leakage. Therefore, a neural network-based electrolysis is designed. Aluminum tank condition diagnosis and decision system. It mainly includes the system structure design, Establishment of expert system knowledge base, Combined with real-world control systems, the system function and the realization of the four modules to realize the monitoring and diagnosis and emergency decision of the tank condition, and promote the information construction of the electrolytic aluminum enterprise.