Abstract: In order to realize the effective dynamic recognition of the coal-rock interface during the cutting process of the coal shearer, the cutting infrared thermal image of the cutting pi . cks under the condition of the different coal and rock percentages were tested and obtained.The distribution law of the pick surface temperature field and the cutting flash temperature features were analyzed. Under the condition of the different coal and rock percentage, the database of the pick cutting temperature features were obtained and a coal and rock interface dynamic recognition model of the coal shearer was established based on the min fuzzy optimization. The test results showed that during the cutting of the different percentage coal and rock specimens, theunexpected instantaneous flash zone would be occurred at the tooth tip of the pick and the higher rock percentage would have a higher flash temperature value. The system could realize the 0n-line and accurate dynamic recognition of the coal and rock interface and could provide the important technical means and the theoretical basis to improve the cutting efficiency of the coal shearer and to realize the itelligent control of the cutting drum.