Study On Operation Monitoring Technology Of Submerged Arc Furnace Based On Cloud Platform And Magnetic Detection

Submerged arc furnace is a widely used equipment in the metallurgical industry,which needs to consume a lot of electricity and ore raw materials in the smelting process,and when the monitoring and adjustment of various smelting parameters are not in place,much harmful exhaust gas and waste will be generated.Due to the three-phase electrodes of submerged arc furnace need to be inserted into the charge for submerged arc operation during smelting,accurate detection of the positions of the three-phase electrodes in the furnace has always been a difficult and hot point in the research of submerged arc furnace operation monitoring technology.Especially in recent years,with the requirements for energy saving and consumption reduction of metallurgical enterprises becoming higher and market competition becoming increasingly fierce,effective and efficient submerged arc furnace operation monitoring and energy-saving and consumption reduction technologies have huge market demands in the majority of metallurgical enterprises.The development of artificial intelligence and cloud platform technology provides new solutions for the operation monitoring,energy saving and consumption reduction of submerged arc furnaces.This paper studies the operation monitoring technology of submerged arc furnace based on cloud platform and magnetic detection.On the basis of the analysis and optimization of the finite element simulation model,a non-contact detection method of the electrode position based on the signal of the external magnetic field of the submerged arc furnace is proposed,multiple electrode position detection models of submerged arc furnace are established and the structure of the secondary side current detection equipment of the submerged arc furnace is optimized.According to the specific method,the corresponding submerged arc furnace electrode position detection system and the Rogowski coil optimization system are constructed.Cloud platform and Internet of Things technologies are applied to the field of submerged arc furnace monitoring to provide a new type of submerged arc furnace operation monitoring solution for metallurgical enterprises.The main work is as follows:(1)A simulation model of submerged arc furnace is constructed,through electromagnetic field simulation analysis and detection position optimization,the number and specific orientation of the detection position of the external magnetic field signal of submerged arc furnace are determined,and the optimization design of the secondary side current detection equipment of submerged arc furnace is realized.Through the multi-physics simulation software COMSOL Multiphysics,combined with the actual operation of the submerged arc furnace,the geometric model of the submerged arc furnace is constructed,the material parameters and circuits of the submerged arc furnace are set,and the finite element simulation calculation of the electromagnetic field of the submerged arc furnace is completed.On the basis of the electromagnetic field simulation analysis results of the submerged arc furnace,the magnetic signals of different positions outside the submerged arc furnace are studied and compared to determine the number and specific orientation of the magnetic field signal detection positions outside the submerged arc furnace,so as to complete the optimization of the sensor detection positions.In addition,the simulation analysis and optimization of the secondary side current detection equipment(Rogowski coil and integrator)of the submerged arc furnace is completed.Combined with the improved genetic algorithm,the optimization design of the Rogowski coil structure is to realizes and the Rogowski coil optimization system is constructed.(2)Multiple electrode position detection models of submerged arc furnace are constructed and integrated into the same system to establish a submerged arc furnace electrode position detection system.Based on the electromagnetic field simulation analysis of the submerged arc furnace and the optimization of the sensor positions,multiple electrode position detection models of submerged arc furnace are constructed through researching partial least square regression analysis and various neural network algorithms,the simulated annealing algorithm(SA)and particle swarm algorithm(PSO)are combined to optimize the detection models and improve the detection accuracy of the models,and the performance of different detection models are compared.The above models are Integrated into the same system to build a submerged arc furnace electrode position detection system and complete the research on the non-contact detection method of submerged arc furnace electrode position.(3)Aiming at the requirements for safe production,energy saving and consumption reduction of submerged arc furnaces,combined with the simulation and optimization results of submerged arc furnaces and detection equipment,a remote monitoring system for submerged arc furnaces based on Advantech’s ADAM-5510 M controller and Internet configuration software Web Access is designed.the ADAM-5510 M controller and acquisition modules(ADAM-5017 H,ADAM-5081)are combined with Rogowski coils,AC voltage transmitters,encoders,power factor transmitters and other detection equipment to complete the on-site detection equipment terminal of submerged arc furnace and realize the detection of important smelting parameters of submerged arc furnace,such as copper tube current,secondary side voltage,electrode movement distance,etc.In combination with Web Access,the development of the host computer system in the remote monitoring system of submerged arc furnace is completed.The Web Access Dashboard is further edited and developed to complete the mobile terminal of the remote monitoring system of submerged arc furnace.The remote monitoring system of submerged arc furnace established realizes various monitoring functions including parameter monitoring,over-limit alarm,trend query,report sending,etc.,and provides multiple clients,which has great practicability and adaptability.(4)The design and construction of the operation monitoring cloud platform system of submerged arc furnace are completed.In combination with the Datahub,Dashboard,Saa S Composer,AIFS(AI Framework Service)and other modules of the WISE-Paa S cloud platform,the real-time monitoring of important smelting parameters of submerged arc furnace is realized,a visual monitoring interface is established,and the main functions of the remote monitoring system and the electrode position detection system of submerged arc furnace are integrated into the operation monitoring cloud platform system of submerged arc furnace through cloud platform and other relevant technologies to complete the development of mobile client of the operation monitoring cloud platform system of submerged arc furnace and realize a series of functions such as real-time monitoring of the furnace operation,over-limit alarm,concrete display of smelting parameters,energy consumption prediction,electrode position detection and so on.This paper deeply studies the operation monitoring technology of submerged arc furnace based on cloud platform and magnetic detection,combined with the multi-physics simulation analysis software COMSOL Multiphysics,Internet configuration software Web Access and various programming tools to realize the electromagnetic field simulation analysis and optimization design of submerged arc furnace and detection equipment,completes the remote monitoring system of submerged arc furnace,electrode position detection system of submerged arc furnace,operation monitoring cloud platform system of submerged arc furnace,and integrates various monitoring functions in the cloud platform system to realize the remote and accurate monitoring of furnace operating status and smelting parameters.The system further reduces the limitation of monitoring distance and monitoring equipment,and can more accurately non-contact detect the positions of the three-phase electrodes of submerged arc furnace,and has obvious advantages in terms of remote monitoring and maintenance,detection of electrode positions,the number of clients and the types of functions when compared with the traditional monitoring system of submerged arc furnace.The system can effectively improve the stability and safety of submerged arc furnace operation,and can provide data support for energy saving,consumption reduction,predictive maintenance and diagnosis,which has certain application prospects and practical value.