Coal Gangue Identification Based on Optimized VGG-16 Network Model
Aiming at the problems of low identification efficiency and difficulty in separating coal gangue under complex working conditions,the VGG-16 network was used to build a coal gangue identification model.The identification accuracy of the coal gangue identification model and the identification of environmental factors were studied,and the VGG-16 coal gangue identification model was optimized.The results are show as follows.Firstly,the accuracy of the optimized VGG-16 network model is 97.00％,the identification time of a single coal gangue image is 0.069 7 s,and the identification time of a single coal gangue image is shortened by 0.85％.Secondly,under different environmental factors such as moisture,ash and dust,the accuracy of the coal gangue identification model is more than 95％.Among them,moisture has the greatest influence on the identification accuracy of the model.The identification accuracy of surface wetting for 30 s is 2.01 percentage points lower than that of drying.Finally,in view of the co-associated characteristics of coal and gangue,the effective identification of coal gangue was carried out for two complex situations of coal surface with gangue and gangue surface with coal.The research shows that the optimized VGG-16 network model has certain anti-interference ability,which can realize the efficient and accurate identification of coal gangue under complex conditions,and can provide theoretical basis and technical support for the subsequent intelligent separation of coal and gangue.
万方数据
维普
