The Exploration on the Method of Extracting Sound Demand Information of CNC Machine Tools under the Background of Big Data

Li-fang YANG, Wei-chao LIU


The sound of CNC machine tool impact the users’ work efficiency, work safety, physical health and experience feeling. In order to mine the user's sound demand information, this paper explored on the method of collecting information through UGC platform corpus collection method, identifying or supplementing information and exploring user psychological needs through directive interviews, verifying the universality of information through questionnaires. I have obtained the specific sound demand information based on research results. The specific sound demand can guide the later research to improve the sound of CNC machine tools.


CNC Machine Tool, Sound Demand, Information mining, UGC


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