Abstract

According to the characteristics of shearer working environment and cutting work, on the base of analyze the working principle of shearer working, use the expert system theory to achieve cutting path planning. Used rule-based knowledge representation, adopted PROLOG language to compile the path planning network, knowledge acquisition used the design method based on rule skeleton and rule body and generated shearer cutting path planning knowledge base, through modifying the internal predicates can be easily achieved the knowledge base modify, storage and maintenance. Experimented in the model of MG900/2210 electrical haulage shearer 1:6 prototype, the experimental results showed that the cutting path planning can effectively improve the working reliability of shearer, by combining with human-machine interaction and remote path correction to solve the problem which can’t be solved through memory cutting and drum automatic adjustment height.

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