基于物联网的煤矿井下机电设备状态智能监测
Intelligent Monitoring of the State of Electromechanical Equipment in Coal Mines Based on Internet of Things Technology
张福胜 1张扬 1薛志胜 1彭驰1
作者信息
- 1. 山西朔州山阴金海洋水泉煤业有限公司,山西 朔州 036002
- 折叠
摘要
提出基于物联网技术的煤矿井下机电设备状态智能监测方法.首先利用传感器设计物联网的信号采集器,采集煤矿井下机电设备的振动信号,并通过局域波分解算法剔除信号中的噪声,避免噪声对监测过程产生影响;其次设计物联网下的信号识别单元,并采用离散傅里叶变换法提取信号的特征;最后设计物联网中的信号控制单元,将信号特征输入到支持向量机中,通过对信号的实时预测实现多步自动监测,完成煤矿井下机电设备状态的物联网智能监测.实验结果表明,以物联网配合智能算法的实时监测设备效果好、响应时间短.
Abstract
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.
关键词
物联网/局域波分解/离散傅里叶变换/信号采集器/信号映射/自动控制与监测Key words
internet of things/local wave decomposition/discrete Fourier transform/signal collector/signal mapping/automatic control and monitoring引用本文复制引用
基金项目
山西朔州山阴金海洋水泉煤业有限公司项目(ZM-HY-SQJD-0006)
出版年
2024
国家科技期刊平台
NSTL
万方数据