[1]张福胜,张 扬,薛志胜,等.基于物联网的煤矿井下机电设备状态智能监测[J].机械与电子,2024,42(04):45-49.
　ZHANG Fusheng,ZHANG Yang,XUE Zhisheng,et al.Intelligent Monitoring of the State of Electromechanical Equipment in Coal Mines Based on Internet of Things Technology[J].Machinery & Electronics,2024,42(04):45-49.
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基于物联网的煤矿井下机电设备状态智能监测()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
42
期数:
2024年04期
页码:
45-49
栏目:
智能制造
出版日期:
2024-04-23

文章信息/Info

Title:
Intelligent Monitoring of the State of Electromechanical Equipment in Coal Mines Based on Internet of Things Technology
文章编号:
1001-2257 ( 2024 ) 04-0045-05
作者:
张福胜; 张 扬; 薛志胜; 彭 驰
山西朔州山阴金海洋水泉煤业有限公司,山西 朔州 036002
Author(s):
ZHANG Fusheng ;  ZHANG Yang ;  XUE Zhisheng ;  PENG Chi
( Shanxi Shuozhou Shanyin Gold Ocean Shuiquan Coal Industry Co. , Ltd. , Shuozhou 036002 , China )
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
Keywords:
internet of things ;  local wave decomposition ;  discrete Fourier transform ;  signal collector ;  signal mapping ;  automatic control and monitoring
分类号:
TP277
文献标志码:
A
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 underground 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 designed , and the discrete Fourier transform method is used to extract the characteristics of the signal.Finally , 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 monitoring 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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2022-10-13
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 )
作者简介:张福胜 ( 1978- ),男,内蒙古呼伦贝尔人,硕士,高级工程师,研究方向为采矿工程;张 扬 ( 1968- ),男,江苏徐州人,工程师,研究方向为采矿工程;薛志胜 ( 1981- ),男,江苏徐州人,工程师,研究方向为采矿工程;彭 驰 ( 1990- ),男,江苏徐州人,工程师,研究方向为安全工程。
更新日期/Last Update: 2024-04-29