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In order to realize accurate identification of wear degree of roadheader cutting picks, an analysis and recognition method of wear degree of roadheader cutting picks was proposed. Three-direction vibration signal and current signal in cutting process of picks with different wear degree were tested and extracted. Sample evidence set for each cutting characteristic signal was established, and on-line recognition of wear degree of picks was realized by using D-S combination recognition model based on modified model. The experimental results show that the proposed method can accurately identify wear degree of picks according to multi cutting characteristic signals, and has high recognition precision and reliability, which provides important basis for determining the optimal maintenance and replacement period of picks.

In order to solve problems of coal-rock recognition and automatic height regulation control of shearer during cutting process, a kind of coal-rock recognition and control system of shearer was put forward and designed which was based on vibration characteristics analysis. The system detects vibration signals of three directions of shearer drum in process of cutting coal and rock, and uses PLC to analyze and process the vibration data, so as to obtain law of vibration characteristics of the shearer drum in process of cutting coal and rock. Then it establishes automatic height adjustment control rule table of shearer drum, and realizes automatic height regulation control of shearer drum by using closed loop control method combining with online discrete look-up table of feedback signal error and control signal output. The results of similar simulation cutting test show that the system can realize coal-rock interface recognition and automatic height regulation control of shearer drum with good dynamic performance.