The periodic check cannot show the changing conditions of bearing lines on time.
Therefore, the research of rapid and exact mobile checking system for rotary kiln has a much large research meaning and economic value to see the on-time conditions of rotary kiln, repair immediately, and improve the rotary efficiency of rotary kiln.
For the complex calcining system of cement rotary kiln, because of the big time lag, non-linear, flexibility and close coupling of itself, it is normally hard to establish exact mathematic model of calaining procedure of rotary kiln, and the controlling perfection is also hard to be guaranteed.
With the continuous development of controlling technology and the continuous mature of pre-controlling technology based on the principle of model prediction, rotary optimization and feedback correction, now research direction of rotary kiln is brought in the calcining process of cement rotary kiln.
The classification and recognition algorithm mainly carries on craft fault detection and the tendency type division to the examination parameters.
Judges the current running status of examination parameters and gives an alarm if it is abnormally in fault signal detection method based on the fractal.
After fault detection, metrical data enters the ART-2 network to carry on the recognition of tendency.
Through summarizing the change of cement rotary kiln status caused by main craft parameters changing and combing the scene experience, sums up the scene working condition for rotary kiln.
The expert knowledge library is composed by these working conditions.
After the data of craft parameters is deal with the classification and recognition algorithm in parallel, ascertains the practical working condition and gives an advice for the rotary kiln control through combing the result of recognition and the knowledge library of working condition.
After that, the working condition recognition algorithm may carry on the data communication and recognition to the scene real-time data, implements the on-line identification.
The practical application indicates that this system can recognize the working condition of rotary kiln effectively, and makes the foundation for optimal control to rotary kiln.
The software adopts the structure of modularization and has the portability, it has quite good usability. http://hongxing0816.wordpress.com/
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