The Design And Realization Of The System To Measure And Control Material Level Of Ball Mill

The design and realization of the embedded system to measure and control the material level of ball mill are introduced in this article. Its main work is that pick up the ball mill's acoustical sound and deal with it by filtered and Hilbert transformed, and then find the characteristic vector and built the relationship between the characteristic and the material location.Ball mill is an important equipment be used to coal pulverization in the coal-fired power plant. The material location is a very important parameter and it influences the ball mill's working efficiency. So the measurement of the material location is very important. It is the meaning of this article.The arm9 embedded development equipment is the main hardware in the embedded system, it is connects with the microphone and the touch screen to built a full system. First the system picked up the acoustical sound, dual with it by enlarge, digital filter and then put it in S3C2410, and dual with by S3C2410,we can find the characteristic vector, and use it to display the material location When built the software system, the Linux embedded OS and QT graph system transplant method are introduced. When duel with the single, the Hilbert transform, Wavelet transform theory, BP neural network theory and down sampling theory are introduced. First, system picks up the envelope of the acoustical sound. Second the envelope is processed by down sampling. Finally we using wavelet transform extract characteristic vector and using BP neural network we make a mapping between the characteristic and the material location actualize the material location recognition.