Design of Audio-Based Coal Mine Hoist Anomaly Detection System
In order to further improve the level of coal mine hoist anomaly detection ability,combined with the actual work requirements,the audio-based coal mine hoist anomaly detection system architecture is built with B/S architecture,and the EMD-mRWR algorithm model and MFEC-GCN algorithm model are applied respectively to design the audio processing and anomalous audio recognition functions to achieve the system functions.From the experimental test results,the system has a relatively high accuracy rate for the detection of abnormal audio,thus proving that the system designed in this work has potential application value.
coal mine hoistanomaly detectionaudio signaldetection system
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