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Research And Design Of Three Dimensional Dynamic Monitoring System For Waste Heat Power Generation

Posted on:2018-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:N Z KouFull Text:PDF
GTID:2322330533955378Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years,various fields pay more and more attention on energy saving and emission reduction.Many steel enterprises are considering the use of waste heat power generation technology to further reduce the energy consumption of sintering.Computer monitoring system is an important part of the waste heat power generation system.At present,the common waste heat power generation monitoring system is mostly displayed by the computer in the form of two-dimensional animation to the operator,and the two-dimensional monitoring interface cannot truly reflect the real state of industrial operation.Furthermore,the system cannot effectively monitor the generation power of the waste heat power generation.Based on the background of the actual project application,this thesis uses the virtual reality technology in waste heat power generation monitoring system,so as to design a three-dimensional dynamic monitoring system for waste heat power generation,and constructs the model of waste heat power generation power for real-time monitoring of waste heat power generation power in the monitoring system.1.Based on the BP neural network optimized by evolutionary algorithm,the prediction model of waste heat power generation is established.The relationship the power of the waste heat boiler waste heat power generation and the waste heat power generation power parameter set is established by the use of BP neural network algorithm with thinking evolutionary optimization method,to predict the industrial index of waste heat power in the process of waste heat power generation.The method is compared with other two prediction models,polynomial fitting and BP neural network.It is found that prediction accuracy of BP neural network prediction model with thinking evolutionary algorithm has higher accuracy in forecasting the power of the waste heat power generation.Therefore,this thesis uses neural network algorithm with thinking evolutionary optimization as a predictive model and implements the algorithm in the monitoring system.2.Three dimensional scene of waste heat power generation process is designed and manufactured by using 3D modeling software and script programming language.This thesis uses 3DSMAX and Unity3 D to make the three dimensional scene of waste heat power generation process,and uses the script design and programming to realize the control of the three dimensional model of waste heat power generation industry equipment,including the 3D model and terrain,lighting and other objects including 3D scenes.Thus the realized system can clearly display the real-time running state of the waste heat power generation industrial process,including real-time change of sinter process,transfer sinter process,gravel vertical cooling furnace cooling and cooling process of sinter ore transfer process,the steam delivery process,operation process,waste heat boiler steam dust process,steam turbine power generation process,and various industrial equipment parameters display process.3.The man-machine interactive monitoring system of the three dimensional dynamic monitoring system of waste heat power generation process is designed.This thesis uses Visual Studio tool set of Windows Form platform for the production of waste heat power generation process of three-dimensional dynamic monitoring system of human-computer interaction module.The human-computer interaction system includes login module,model module,3D scene module,incoming parameter module,data display module,data communication module,database module and power prediction and monitoring.Prediction and monitoring module includes data prediction and forecasting curve display.The human-computer interaction module can receive real-time parameters of industrial waste heat power generation process carry out real-time operation in 3D display industrial scene,call the background prediction model to realize real-time prediction of the power of the waste heat power generation system by using the collected parameters,dispay the real-time forecasting value and real collected value,and be able to make real-time prediction comparison of value and the true value of the curve.The operator can carry on the real time-three dimensional monitoring of the industry at the same time and find the problem by the prediction comparison of value and the true value of the power.In this thesis,three-dimensional dynamic monitoring system is designed,implemented,and tested.The testing results show that the monitoring system software can run in different three-dimensional perspective,monitor all-round the waste heat power generation process(including power generation),reduce the complexity of monitoring real complex industrial process,and improve the monitoring level of metallurgical factory.
Keywords/Search Tags:Three dimensional animation, Neural network, Waste heat power generation, Virtual reality technology, Monitoring system
PDF Full Text Request
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