The Design And Development Of Remote And Mobile Monitoring Software For Fused Magnesia Smelting Process

The fused magnesia is an oxide of magnesium,which has the characteristics of high melting point,complete structure,strong insulating property and so on,it can be widely applied to industries such as metallurgy,chemical industry,electric appliance,aerospace and so on.During the smelting process of the fused magnesia,the current fluctuates violently,which leads to great power consumption and poor product quality,So the real-time monitoring of the current size and the stability degree in the smelting process is important for improving the quality of the fused magnesia product and reducing the energy consumption.With the arrival of intelligent factory era,the intelligent transformation of fused magnesia production enterprises requires that its smelting process monitoring system can effectively evaluate the operation state and control effect of smelting process for different personnel so as to assist the intelligent evaluation and decision-making.The existing monitoring system of fused magnesium furnace can only display the current value and other data in real time,Lack of the functions of diagnosis and control effect evaluation based on historical data processing,it is difficult to meet the needs of enterprise managers and control engineers for intelligent decision-making and evaluation;In addition,with the arrival of the industrial big data environment,the existing monitoring system of the fused magnesia furnace shows some deficiencies in the efficiency and reliability of the synchronous acquisition,transmission and storage of large scale multiple heterogeneous data,which is difficult to meet the requirement of real-time and reliable monitoring and analysis of a large amount of data;moreover,the existing various control and evaluation algorithms have low multiplexing rate,long development period and poor software universality,and are difficult to expand flexibly.Therefore,in order to solve the above problems,this thesis combines the physical resources such as the melting process and industrial equipment of fused magnesia with the computing resources such as big data,cloud computing,intelligent optimization and modeling technology,designs and develops a set of remote mobile monitoring software for fused magnesia smelting process,which has the functions of process and state monitoring,performance evaluation,model correction,condition identification and so on.The main work of this thesis is as follows:(1)In view of the single monitoring function of the existing fused magnesia monitoring system and the difficulty of meeting the needs of the enterprises,fused magnesia smelting process remote mobile monitoring software which based on the monitoring of the mobile APP and the web monitoring of the PC is designed and developed.The software has the functions of single-ton energy model calibration,working condition identification and non-optimal causes analysis.It enables the supervisors to grasp the operation state of the smelting process at any time and anywhere,and provides intelligent support for the production evaluation and decision making of the control engineers and decision makers.(2)In view of the problems of low efficiency and poor reliability of data acquisition and transmission in the existing fused magnesia monitoring system,the distributed data acquisition scheme,the data transmission scheme based on Kafka and RabbitMQ and the data storage scheme based on MySQL and HBase are respectively proposed to realize the reliable and high efficient data acquisition and transmission of large scale data in fused magnesia smelting process.(3)Aiming at the problems of low reuse rate,long development cycle,low software generality and difficulty of flexible expansion for various control and evaluation algorithms in traditional monitoring and control system,realizes the servitizations of the functions such as data acquisition,data transmission,data storage,current control system dynamic performance monitoring,single ton energy consumption model correction,optimal condition identification and non-optimal cause analysis and so on.(4)The functions of the monitoring software designed in this paper are simulated and verified in the laboratory environment,including data acquisition,data transmission function and dynamic performance evaluation function of the control system.The function of single ton energy consumption model correction,optimal condition identification and non-optimal cause analysis.The verification results show that the monitoring software can achieve efficient data collection and efficient and reliable transmission,and can accurately evaluate the operating conditions and current control effects in the fused magnesia melting process.The software runs stably,the monitoring interface interaction is good,and it can meet the needs of grasping the melting process running state at any time and anywhere for the enterprise supervisors.