K-means-clustering-algorithm-based intelligent management method for coal storage and coal blending in thermal power plant

The invention provides a K-means-clustering-algorithm-based intelligent management method for coal storage and coal blending in a thermal power plant. The method comprises: unmarked raw coal quality parameter data are trained based on a clustering method; intrinsic properties and laws of the data are obtained; and with combination of expert knowledge, a stacking decision-making method and a stacking decision-making rule are obtained. According to the invention, the expert knowledge and the artificial intelligence algorithm are applied to coal yard management. On the basis of the artificial intelligence algorithm such as clustering, the unmarked raw coal quality parameters are trained to disclose the intrinsic properties and laws of the data; and then the corresponding stacking decision-making method and stacking decision-making rule are obtained by combining the expert knowledge. The K-means-clustering-algorithm-based intelligent management method is a clustering method having the great physical meaning and i