Design of Electrical Automation Remote Monitoring System of Vertical Mill Machinery Based on Internet of Things
In response to the difficulties in real-time monitoring,inaccurate fault diagnosis,and process optimization in the operation and maintenance management of vertical mill equipment,this paper proposes a remote monitoring system for mechanical and electrical automation of vertical mills based on the Internet of Things.The system integrates technologies such as data collection,Internet of Things communication,and big data analysis to achieve real-time collection and uploading of equipment operation status.A machine learning model is established to achieve intelligent diagnosis and early warning of equipment faults,and dynamic optimization of equipment process parameters is achieved through data mining.Through experimental verification,the system can effectively improve the operational efficiency and product quality of vertical mill equipment.
万方数据
维普
