Design of Embedded Hardware Platform for Predictive Maintenance of Coal Mine Reducer

Abstract

Aiming at the problems in the operation and maintenance mode of coal mine reducer, such as poor real-time and flexibility, high cost, insufficient data collection. an embedded hardware platform is designed, and its working principle and hardware composition are introduced in detail. The platform collects the vibration acceleration, vibration velocity and temperature signals of coal mine decelerator, and conducts fast Fourier transform, envelope spectrum analysis and other processing to obtain the health status of each key part of coal mine decelerator. The practical application shows that the platform has stable performance, meets the requirements of field real-time analysis and flexible layout, and the prediction results have high reliability and small error.