基于边缘计算的车间设备监控系统研究

Research on Workshop Equipment Monitoring System Based on Edge Computing

现有的车间大型设备复杂度高,越来越依赖监控系统对其进行实时性管理。目前依靠云计算的设备监控系统所需传输的数据量越来越大,导致需求紧急响应的告警信息容易出现延迟,严重会造成设备停机等问题。针对现有PVC压延车间设备告警方案定位不明确和告警响应不及时的问题,该文引入边缘计算概念,设计了一个新型设备监控系统,将告警事件处理放置在边缘端,减轻数据长距离传输带来的高延时性和云计算中心处理压力,利用用户定义的阈值告警机制和特征树去重策略减少告警频繁带来的运维困难,提高设备告警处理针对性和实时性。通过对比分析,加入边缘计算对监控系统的告警实时性有了较大的提升。

The existing workshop large-scale equipment has high complexity,more and more rely on the monitoring system for its re⁃al-time management.At present,the amount of data needed to be transmitted by the equipment monitoring system relying on cloud computing is increasing,which leads to the delay of alarm information requiring emergency response,and seriously causes equip⁃ment downtime and other problems.Aiming at the problems of unclear positioning and untimely alarm response of existing PVC cal⁃endering workshop equipment alarm scheme,this paper introduces the concept of edge computing and designs a new equipment monitoring system,which places the alarm event processing at the edge end to reduce the high delay caused by long-distance data transmission and the processing pressure of Cloud Computing Center,and uses the user-defined threshold alarm mechanism and feature tree to remove the alarm Heavy strategy reduces the operation and maintenance difficulties caused by frequent alarms,and improves the pertinence and real-time of equipment alarm processing.Through comparative analysis,the real-time alarm perfor⁃mance of the monitoring system is greatly improved by adding edge computing.