Detection of Coal Level in Underground Coal Bins Using an Improved Edge Detection Algorithm

Coal level testing in underground coal bunkers is always a key and difficult part of safe coal mining operations. A coal level detection system based on the high performance TMS320DM642 digital signal processor chip combined with a bidimensional empirical mode decomposition image edge extraction algorithm and mutual information is introduced. The algorithm combines the efficiency of the edge alignment method and the accuracy of the maximum mutual information method. The details of the original image are better reflected while effectively retaining the image edges. The testing system is not contact with the material. The system can function in real time and demonstrates high accuracy.