The Development of Internet of Things in Coal Mine Based on Rough Set
نویسندگان
چکیده
This paper analyzes the coal mine of things to be solved key technical problems in order to improve things in the coal mine the diagnostic accuracy of fan failure, the use of mechanical failure analysis UCI database data sets for analysis. According to the coal mine of things to determine the characteristics of the fan through the vertical amplitude of the frequency, the base rate of vertical vibration frequency, vibration frequency is the key to detecting mine fan failure detection parameters. Therefore, the paper presents the development of Internet of Things in Coal Mine based on rough set , through the data set data selection, discrete, decision tables, build and reduction methods introduced in order to extract the mine fan fault diagnosis rules, to achieve mine fan failure diagnostic expert system rule base was established.
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