The Static Model Of Oxygen Converter Devanadium

Vanadium, which is application to metallurgy, chemistry, electronic and air mechanic etc widely, is an important metal. Our country is abundant in natural resources containing Vanadium, Titanium, etc. Now our country has become one of the four greatest produced devanadium countries in the world. Oxygen converter devanadium now has become the main production method in our country. The process of devanadium in which complex mechanism of reaction and many affect factors is a high temperature chemical reaction process, influenced by the variety of raw material and technics condition, so it is very inconvenient to operate manually. In order to improve the level of devanadium technology and correct the defect of fluctuation of the target in production process, it is necessary for us to realise the computer control in production process and reduce the influence by the manual factor.On the process of developing the static devanadium model, thinking of the status that the devanadium process is still manual operation in our country, the oxygen converter devanadium is chosen as a specific research object from the viewpoint of industrial application in this paper. And on the basis of considering the demerits of the traditional mathematical model, the paper has developed a perfect self-study and self-adaptive static model by means of some artificial intelligence technology such as RBF networks and Genetic Algorithms etc.Firstly this paper introduce the meaning of developing devanadium static model and discuss the application and development of the domestic and international research, and then thoroughly analyze the merits and demerits in these model-making methods. Aiming at the complexity of devanadium process, this paper put forward an advice that the more precise model ,then traditional mathematical model should be made by means of the NN and other AI technology.On the basis of combining the characteristic of the technics theory and practical devanadium process, this paper conclude the internal affect factor of devanadium process and the main factor of static model. Then the author has constructed the submodel of the time of blowing oxygen and refrigerant, making use of the RBF neural networks. Meantime, applying the genetic algorithm, completed the optimizationof parameter of the number of neuron and spread, and get the model with a better generalization ability. The imitate results show that the algorithm has an ability of fastconvergence speed and strong study power.At last, this paper develop a software for devanadium static control model by means of object-oriented programming language Visual C++ 6.0.