Equipment energy saving method and system applied to mobile internet

Abstract

The invention discloses an equipment energy saving method and system applied to the mobile internet. The method comprises the steps that the data flow generated when users have access to the internet in a pre-set time period in a fixed region is predicted, and the prediction value of the data flow generated when the users have access to the internet in the pre-set time period in the fixed region at the date to be predicted is obtained; whether the prediction value of the data flow generated when the users have access to the internet in the pre-set time period in the fixed region at the date to be predicted is smaller than a pre-set flow threshold or not is judged, and if yes, energy saving operation is conducted on equipment in the pre-set time period in the fixed region when the date comes. According to the equipment energy saving method, energy saving operation arrangement is conducted according to prediction data, therefore, energy saving operation does not lag behind network flow changing any more, internet energy saving operation is conducted efficiently in a planned way, and internet operation and maintenance personnel can conduct equipment energy saving management more efficiently conveniently.

Description

technical field [0001] The invention relates to the communication field, in particular to a device energy saving method and system in the mobile Internet. Background technique [0002] In order to ensure that mobile users can use mobile services anytime and anywhere, and to meet the needs of users for call quality in areas with a large number of mobile terminals and during busy periods, a large number of base station devices are deployed in the existing network to achieve complete coverage of mobile signals and call quality. Multi-layer coverage in high traffic areas. However, according to the statistics, it is found that the utilization rate of the base station equipment is not high, the average utilization rate is less than 50%, and the instantaneous utilization rate setting is less than 10% in some time periods, which causes energy waste in this case. [0003] In order to solve the above-mentioned problem of energy waste, various energy-saving solutions are provided in t...

AI Technical Summary

Problems solved by technology

However, according to statistics, the utilization rate of base station equipment is not high, the average utilization rate is less than 50%, and the instantaneous utilization rate setting is less than 10% in certain periods of time. In this case, energy is wasted

Therefore, it is impossible to accurately perform energy-saving operations on devices in the mobile Internet

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