关键词: 工业云, 电熔镁炉监控系统, 节能降耗, 分布式数据采集, 分布式消息中间件, 智能化

Abstract: Aiming at the problems that the users can not monitor the production process anytime and anywhere with high labor intensity and large power consumption of production in the fused magnesium furnace industrial processes,and to solve the technical challenges of data acquisition,data transmission and data storage in the existing cloud-based monitoring systems in industrial big data environment,the monitoring system for fused magnesium furnace based on industrial cloud computing was designed and developed.In this system,the distributed data acquisition platform was used to collect the process data and video data efficiently and reliably;the cloud computing technology and distributed message middleware were applied to realize the highly efficient and reliable transmission of the large-scale real-time data and non-real-time data in the production process;the distributed data storage model which combined relational database with NoSQL database was adopted to improve storage and access efficiency of industrial big data in fused-magnesium furnace production processes.In addition,by combining the data mining technology with the traditional industrial control technologies such as parameter optimization technology,parameter identification technology,parameter prediction technology and fault diagnosis technology,the functions such as set-point optimization,energy consumption single ton prediction,abnormal condition recognition,optimization conditions recognition and relative non-optimal reason analysis were developed,which greatly enhanced the intelligentization of the proposed system and provided a more efficient decision support for enterprise managers.

Key words: industrial cloud computing, monitoring system for fused magnesium furnaces, energy saving, distributed data acquisition, distributed message middleware, intelligentization