Design Project of Regenerated Coal Rough-Crusher Intelligent Control System Based on Image Comparison
According to the characteristics and requirements of the regenerated coal production process, taking into account the rough crusher facing complex working conditions, we designed the intelligent control systems of automatic detection and image-based comparison. Focused on the key technology of image comparison, we designed image pre-processing algorithm and comparison algorithm, to overcome the high rate of wrong judgments when images were compared. It had been proved that performance about the control system of regenerated coal rough crusher was superior on protecting the machine and improving the production efficiency.
This paper forms a new model combined Rowen model with IEEE model and extract the parameters through practical data. Finally,it is tested that the new model is valid as the consequence of the simulation via matlab-simulik is similar to IEEE model. This illustrates that this model can be used in partial load conditions which is the shortcoming of Rowen model and avoids the complex computation of IEEE model. Therefore,the model offfers a new thought and method for the study of the gas turbine model.