基于自适应窗口的网络IT设备运行监控预警系统

A Monitoring and Early Warning System for Network IT Equipment Based on Adaptive Window

在监控预警系统工作过程中,由于网络IT设备运行数据预处理算法的影响,使得系统的测量误差较高,无法满足设备工作需求。因此,设计了基于自适应窗口的网络IT设备运行监控预警系统。硬件方面,针对数据采集器和网关进行设计。软件方面,通过采集和传输模块的设计,实时获取网络IT设备运行数据。以自适应窗口为基础,设计数据深度处理算法,为监控预警系统的设计提供数据支撑。基于大数据分类算法构建监控预警模型,并将监控预警结果进行可视化界面展示。系统测试结果表明,所设计系统的监控预警结果与实际设备运行状态数据相比平均误差为2.27%,满足了系统测量误差低于5%的要求。

In the monitoring and early warning system,due to the influence of the network IT equipment operating data preprocessing algorithm,the measurement error of the system is high,which cannot meet the equipment working requirements.Therefore,a network IT equipment operation monitoring and early warning system based on adaptive windows is designed.In terms of hardware,it is designed for data collectors and gateways.In terms of software,through the design of acquisition and transmission modules,real-time data on network IT equipment operation can be obtained.Based on the adaptive window,we design data deep processing algorithms to provide data support for the design of monitoring and early warning systems.A monitoring and early warning model is constructed based on big data classification algorithms,and the monitoring and early warning results are displayed on a visual interface.The system test results show that the monitoring and early warning results of the designed system have an average error of 2.27%compared with the actual equipment operating state data,which meets the requirement that the system's measurement error is less than 5%.