A Monitoring Method of Network Power Consumption Information Based on SNMP

Heng Zhou, Guangpu Shan, Song Liu, Peng Liu
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引用次数: 7

Abstract

In order to realize the real-time collection of network information, to achieve energy saving and fault monitoring, it puts forward a method of monitoring the power consumption information based on the network data analysis. The method can use SNMP and MIB to collect the power information of the power equipment in different networks, including the CPU occupancy rate, physical and virtual memory usage. It use BP neural network to train the data and get the real-time electricity information of equipment. System operation results show that the method can collect the running data of the equipment in real time, and effectively obtain the information of the power consumption of the equipment. It gets the estimated data with high accuracy and can meet the requirements of the use of electricity information collection.
基于SNMP的网络功耗信息监控方法
为了实现网络信息的实时采集,实现节能和故障监测,提出了一种基于网络数据分析的用电信息监测方法。该方法可以通过SNMP和MIB采集不同网络中电力设备的功耗信息,包括CPU占用率、物理内存和虚拟内存的使用情况。利用BP神经网络对数据进行训练,得到设备的实时用电信息。系统运行结果表明,该方法能够实时采集设备运行数据,有效获取设备功耗信息。该方法得到的估算数据精度高,能够满足用电信息采集的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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