Application Of Artificial Intelligence Technology In Cement Industry

Because the calcining of cement kiln has characteristics of more variables, non-linearity, pure lag, strong coupling etc., controlling cement kiln with traditional control ways is very difficult. This thesis will bring into play the merits of aritificial intelligence, applying neural networks control and fuzzy control to optimize cement kiln. Based on reading a lot of books, this thesis fell VC++ and aritificial intelligence together, and realized BP algorithm, Levenberg-Marguardt algorithm and Quassi-Newton algorithm by VC++. This thesis also designed fuzzy control imitation software by MATLAB. The applications of neural networks software and fuzzy control imitation software show that aritificial intelligence could reduce energy consumption and increase economic efficience, which have important significance to cement industry.Firstly, the author researched the development, structures and algorithms of neural networks, then programmed the neural networks software by VC++ and DLL. The software could train a new neural network by BP , LM or Quasi-Newton algorithm, test the neural network and manage training swatches and testing swatches. The result of applying neural networks software to cement kiln control shows that it has definite practical worth.Based on researching fuzzy control theory and design way of fuzzy controller, and acquainting cement manufacturing process, the author researched the parameters of producing process in detail, brought forward subjection function and fuzzy control rules list of cement kiln input and output parameters and designed fuzzy control imitation software by fuzzy control toolbox of MATLAB. Applied the software to cement kiln imitating process, it has better control effect and definite significance.At last, the author summarized the whole thesis and made a prospect of research fashions and ways.