Intelligent Monitoring of the State of Electromechanical Equipment in Coal Mines Based on Internet of Things Technology
An intelligent monitoring method based on internet of things(IoT)is proposed for under-ground electromechanical equipment in coal mines.First,the sensor is used to design the signal collector of the internet of things to collect the vibration signal of the electromechanical equipment in the coal mine,and the local wave decomposition algorithm is used to eliminate the noise in the signal to avoid the impact of noise on the monitoring process.Secondly,the signal recognition unit under the internet of things is de-signed,and the discrete Fourier transform method is used to extract the characteristics of the signal.Final-ly,the signal control unit in the internet of things is designed,and the signal characteristics are input into the support vector machine.Through the real-time prediction of the signal,the multi-step automatic mo-nitoring is realized,and the intelligent monitoring of the state of the electromechanical equipment under the coal mine is completed.The experimental results show that the real-time monitoring equipment based on internet of things and intelligent algorithm has good effect and short response time.
internet of thingslocal wave decompositiondiscrete Fourier transformsignal collectorsignal mappingautomatic control and monitoring
国家科技期刊平台
NSTL
万方数据
