Online Assessing System Of Coal Ash Based On ARM

This paper puts forward an Online Assessing System of coal ash targeting the Coal-Washing factory. The tradition approach for this purpose is entirely manual: firstly, we fetch some coal for assessing, and then judge whether the product is consistence with the expectant result by burning the coal to ashes; finally, we adjust the washing system according to the judge. This method not only has a lower efficiency, but also can hardly achieve the real-time control.To solve the problem, we develop a new image processing approach based on ARM system to implement the online assessing system. This method first obtains the primitive grayscale image of coal from the camera through the linux driver layer. And then reduce the image-noise through a liner-weighting-average filter and eliminate the illumination influence through liner transformation. Finally abstract the main features of the grayscale image matrix based on probability and deviation. By using the group feature matching arithmetic, we can get the final criterion according which to output a set of signals to achieve the real time control on the washing machine.