Design And Implementation Of ZH Magnetic Separator Monitoring System

In the beneficiation industry,a strong magnetic separator is one of the key equipment for magnetic separation of weak magnetic minerals.It has the advantages of simple operation,high efficiency,environmental protection,and economy,but its automatic monitoring technology needs to be improved.Take the ZH strong magnetic separator as an example.At present,most of the main monitoring methods of the equipment in the concentrator are local centralized monitoring based on the C/S architecture.This monitoring method basically stores the data flow locally,and small and medium-sized mineral processing The historical data storage time of the factory is generally not long,which creates obstacles to the future use of historical data for intelligent monitoring.At the same time,when the magnetic separator is actually working on site,no suitable algorithm has been used to control the optimal magnetic separation current and flushing water pressure according to the grade and particle size of the selected iron ore,which cannot improve the performance of the magnetic separator more efficiently..Therefore,this paper studies the parameter optimization control problem of ZH strong magnetic separator based on fuzzy rules and the design of remote monitoring system.The main work is as follows:(1)Investigated the application status and requirements of ZH magnetic separators at home and abroad,and developed a monitoring system based on B/S browser architecture and Ari cloud platform.The system consists of three parts,namely,the design and implementation of web monitoring interface,the design and implementation of data ascending and the design and implementation of control command issuing.The system uploads the key real-time parameters generated by the operation of the concentrator equipment to the remote server center and then displays the data in real time on the dynamic web page.In case of equipment problems,the remote technical experts can quickly know the real-time situation of the concentrator through the system and propose solutions at the first time.The use of web login verification procedures to ensure that only the administrator with the permission of the device can issue control commands anytime and anywhere to protect the safe and stable operation of the device.(2)Aiming at the problems existing in parameter control of ZH strong magnetic separator,an adaptive fuzzy controller is designed.The historical data were classified using vector quantization and re-increment algorithm,and the test samples were divided into 9clusters,each with a unique optimal adjustment parameter(flushing water pressure and magnetic separation current)and cluster center.Then,according to the classification results,the triangle membership function is used to fuzzy the non-adjustable parameters and the adjustable parameters,and i F-and-then-and-fuzzy rules are established to form the fuzzy rule library.Using the field data as the test sample,the best adjustable parameters are obtained through adaptive fuzzy rule base.This method was applied to optimize the grade and yield of iron concentrate in the field.Under the same size and grade of selected iron ore,the economic model index of iron concentrate output grade was effectively improved by using the optimized flushing water pressure and magnetic separation current.To sum up,the monitoring and control system designed in this paper can effectively solve some problems existing in the current equipment.For example,the monitoring system is conducive to the external experts to quickly solve the fault occurred during the operation of the equipment,and more convenient to maintain the stability of the equipment.At the same time,the adaptive fuzzy controller can effectively improve the economic evaluation index of magnetic separation and improve the economic benefit of concentrator.