Device control method, device control apparatus, device, storage medium, computer program product

By acquiring energy efficiency and traffic data from the device pool, using predictive models to forecast future traffic and control user plane devices to enter a dormant state, the problems of device idling and high energy consumption under the device scheduling mechanism are solved, and dynamic matching of device status and load and energy consumption optimization are achieved.

CN122621953APending Publication Date: 2026-08-21CHINA MOBILE GROUP DESIGN INST +1
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Patent Information

Application Number
CN202610445093.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-07
Publication Date
2026-08-21

AI Technical Summary

Technical Problem

Under the existing equipment scheduling mechanism, the operating status of user plane equipment lacks dynamic matching capability with business load, resulting in equipment idling and high energy consumption when the load is low.

Method used

By acquiring energy efficiency data and service traffic data of each user plane device in the device pool, and using a pre-trained prediction model to predict the traffic within a preset time window in the future, the control strategy is determined and control commands are generated to control the user plane devices to enter a sleep state.

Benefits of technology

It achieves dynamic matching between equipment operating status and business load, reduces overall energy consumption during low-load periods, and improves equipment utilization efficiency.

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Abstract

The application discloses a device control method and device, equipment, storage medium and computer program product, and is used to solve the problem that the user plane device running state and service load lack dynamic matching ability under the existing device scheduling mechanism, resulting in device idling and high energy consumption at low load. The method comprises the following steps: acquiring energy efficiency index data and service traffic data corresponding to each user plane device in a device pool; determining predicted traffic in a future preset time window based on a pre-trained prediction model according to the service traffic data; determining a control strategy for at least one user plane device in the device pool according to the predicted traffic and the energy efficiency index data, wherein the control strategy is used to control the user plane device to enter a sleep state; generating a control instruction according to the control strategy and sending the control instruction to the user plane device to control the user plane device to perform a corresponding sleep operation.
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