神经网络模型在机房动力环境监控系统中的应用与研究

Application and Research of Neural Network Model in Power Environment Monitoring System of Computer Room

建设数据中心机房动力环境集中监控系统具有重要意义,通过动力环境集中监控系统可以将不同地区机房的监控数据进行集中监控管理,采用数据挖掘模型能够进一步提升监控的智能化水平。文章对数据挖掘模型应用于机房动力环境监控系统中的设备故障预警等进行研究,建立GMDH神经网络,利用监控系统中的历史数据,可以有效地对机房中的各类设备故障进行预警,加强对机房的监控,提高机房监控的智能化水平。

The construction of a centralized monitoring system for power environment in data center computer rooms is of great significance.Through the centralized monitoring system for power environment,monitoring data from different computer rooms in different regions can be centrally monitored and managed.The use of data mining models can further improve the intelligence level of monitoring.This article studies the application of data mining models in equipment failure warning in the power environment monitoring system of computer rooms.By establishing a GMDH neural network and utilizing historical data from the monitoring system,various equipment failures in the computer room can be effectively warned,strengthening the monitoring of the computer room and improving its intelligence level.