基于物联网的机电设备实时监测与诊断系统  被引量:6

Real-time Monitoring and Diagnostic System for Mechanical and Electrical Equipments Based on Internet of Things

在线阅读下载全文

作  者:符长友[1] 何俊鹏[2] 杨鑫[1] 

机构地区:[1]四川理工学院计算机学院,四川自贡643000 [2]四川理工学院自动化与电子信息学院,四川自贡643000

出  处:《四川理工学院学报(自然科学版)》2014年第5期25-28,共4页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

基  金:企业信息化与物联网测控技术四川省高校重点实验室项目(2013WZY03);四川省教育厅科研项目(13zb0136);自贡市科技局项目(2013ZC11);四川理工学院校级科研项目(2012KY10);国家级大学生创新创业训练项目(201210622016)

摘  要:机电设备是当前应用最广泛的原动力和驱动装置,针对其日趋严重的、频发的灾难性事故,提出并设计了一种基于物联网的机电设备实时监测与诊断系统,实现了对机电设备电气参数实时在线监测、故障诊断、预警与远程控制,并对其系统构成、硬件与软件进行了详细设计。实践证明,通过该监测系统,降低了生产安全隐患、减少了故障停机时间与停机损失,降低了维修费用和提高设备的有效利用率,促进了企业高效生产。At present,mechanical and electrical equipments are the most widely used devices for impetus and driving.Aiming at the catastrophic accidents which are increasingly serious and frequently happen on these equipments,a real-time online monitoring and fault-diagnosing system based on internet of things for mechanical & electrical equipments is proposed and designed.Online monitoring of electric parameters,fault diagnosing,warning and remote controlling are realized by the monitoring and fault-diagnosing system.The constitution,hardware and software for this system are designed in detail.The practice proves that hidden dangers of production are greatly reduced,and the time and loss for malfunction are lessened by this system.Meantime,maintenance costs of equipments are cut down,and their effective availabilities are enhanced and enterprise’s productivity is promoted.

关 键 词:实时在线监测 故障诊断 机电设备 电气参数 物联网 

分 类 号:TH122[机械工程—机械设计及理论] TM933[电气工程—电力电子与电力传动]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象