A Monitoring Method of Network Power Consumption Information Based on SNMP
Heng Zhou, Guangpu Shan, Song Liu, Peng Liu · 2016
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.