Dynamic Performance Monitoring of Current Control System for Fused Magnesium Furnace Driven by Big Data

By analyzing the dynamic characteristics of the smelting process of fused magnesium furnace (FMF), a kind of dynamic performance monitoring method driven by big data for current control system of FMF is proposed. The dynamic performance indexes of the current control system can be calculated with big data technology on the cloud server, then the online and offline evaluation of the running state and controlled effect of FMF smelting process are realized. Besides, in order to verify the effect of the performance indexes evaluating and monitoring method, the remote and mobile monitoring system of the dynamic performance evaluation indexes of current control system is developed and the system is successfully applied to a fused magnesia plant in China.