摘要
针对传统的工业机器人在工作过程中缺乏实时监测,难以掌控工作状态等特点,本文提出基于物联网的工业机器人远程故障监测与预警系统。系统首先利用物联网技术对工业机器人进行工作状态数据采集和整理,利用云服务使得系统支持PC端和移动端同步监测数据,最后对积累下来的历史数据进行分析,对异常状态及时进行预警。通过该系统的研究,能够提高工业机器人的工作质量,减少设备维护成本,对推进数字化工厂有着重要的意义。
In view of the lack of real-time monitoring of traditional industrial robots in the process of work,it is difficult to control-the working conditions and other characteristics,this paper presents the Internet-based industrial robot remote fault monitoring and early-warning system.The system uses the Internet of Things technology to collect and collate the working state data of the industrial robots.The cloud service makes the system support the synchronous monitoring data between the PC and the mobile side. Finally,the historical data is analyzed and the early .warning is carried out in time.Through the system of research,can improve the quality of industrial robots work,reduce equipment maintenance costs,to promote the digital factory has important significance.
出处
《科技视界》
2017年第20期65-66,共2页
Science & Technology Vision
基金
广东省科技计划项目(2015B090922014)
(2015A030401101)
(2017A040405063)
关键词
物联网
工业机器人
数据采集
数据分析
Internet of things
Industrial robots
Data acquisition
Data analysis