Prediction of operation vibration state of coal mine mechatronics equipment based on data mining

In order to explore the prediction of operation vibration state coal mine mechatronics equipment, author proposes a method based on data mining in response problems large amount operating electromechanical low utilization, and slow speed single-machine massive mining, using Map Reduce technology, dual framework is proposed, establish model for running Reduce, MapReduce1 extract features monitoring data, use MapReduce2 predict analyze feature data. Finally, by building Hadoop platform, reveal relationship between cluster nodes parallel processing speed, efficiency verified: Perform an experimental comparative analysis single proposed AGB combined model, accuracy verified.