物联网环境下的大型立磨状态监测及损伤预警系统模型

Large Vertical Mill Condition Monitoring and Damage Early Warning System Model Under Internet of Things Environment

针对目前大型立磨状态监测参数较少,网络化执行程度较低的问题,从底层、中间层和功能应用层三层角度搭建了物联网环境下的大型立磨状态监测及损伤预警系统框架结构,并建立了包含状态特征量信息采集、数据预处理、故障诊断、信息发布与反馈、系统管理等模块的系统功能模型。基于上述模型,编制了状态监测及损伤预警系统。系统能够实现物联网环境下大型立磨多特征量状态监测和损伤预警,对提高大型立磨生产效率和设备运行稳定性意义重大。

Aiming at the problem that the monitoring parameters were less and the level of network implementation was low, a large vertical mill condition monitoring and damage early warning system framework under internet of things environment was built from the point view of three layers -the bottom, the middle and the functionality application layer, and the system function model containing feature information collection, data preprocessing, fault diagnosis, information dissemination and feedback, system management modules was established. Based on the model above, the condition monitoring and damage early warning system was compiled. The system could realize large vertical mill multi characteristic condition monitoring and damage early warning under internet of things environment and it was of great significance to improve production efficiency and equipment operation stability far large vertical mill.