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Blast Furnace Distributed Temperature Modeling Method Research Based On Mechanism And Data Hybrid Driven

Posted on:2014-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:L C HuangFull Text:PDF
GTID:2231330395992834Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Blast furnace ironmaking production is one of the core procedure on the upstream of iron and steel industry process flow. The blast furnace internal temperature is an important index of measuring blast furnace and quality of molten iron. Establishing blast furnace internal temperature distribution model can reflect the furnace temperature change timely and implement the optimization control. It’s also the key to ensure the blast furnace smooth, safe, efficient and energy-saving operation. However, because of the complexity of blast furnace smelting, blast furnace internal temperature cannot be measured directly. There was not any temperature model can completely describe the blast furnace smelting process and reflect the state of blast furnace temperature timely. To solve the above problem, this thesis presents a method based on mechanism and data hybrid driven to modeling blast furnace internal temperature distribution. This method has better real-time calculation and stronger model adaptability.The main content of this thesis includes the following aspects:1. A series of processes to establish the temperature distribution model of the blast furnace inner surface is proposed. Which include establishing a continuous furnace wall heat transfer mechanism model based on the Fourier heat transfer law, backstepping inner surface of the blast furnace circumferential direction temperature distribution at different heights based on the fuzzy inference method, obtaining the inner surface temperature distribution of the blast furnace based on piecewise curve fitting.2. This thesis proposes a method of the establishment of a temperature distribution model of the central axis of blast furnace. Which is based on the multi fluid theory and the principle of heat transfer, use of fluid dynamics and reaction kinetics to study the complex law of the furnace temperature control of blast furnace ironmaking process and obtain the each point of the center axis of blast furnace temperature, pressure and gas flow.3. This thesis proposes a method based on the temperature distribution model of inner surface and central axis of the blast furnace, adopts the approximate solution for the thermal conductivity of the solid cylinder containing internal heat source, then obtains blast furnace radial one-dimensional temperature distribution. Thereby, it can obtain the temperature of each point of the blast furnace internal and establish the three-dimensional temperature distribution model of blast furnace.4. Through the Matlab software tool to make visualization simulation of furnace temperature distribution model and verify the effectiveness and real time of the model. This thesis has also developed blast furnace temperature real time display system software in the Matlab GUI platform. Which can real time simulate and display the stereo image, longitudinal section and cross section temperature distribution of blast furnace internal. It can also help operator of the blast furnace to detect the furnace temperature.
Keywords/Search Tags:Blast Furnace System, Furnace Temperature Model, Fuzzy Inference, Finite Difference Method, Visualization Simulation
PDF Full Text Request
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