Power consumption control method and device of payment device, payment device, medium and product

By dynamically adjusting the scheduling of business models, communication units, and hardware resources during the payment sub-stage of the payment device, the high power consumption problem of the payment device at low usage frequency is solved, and energy consumption optimization is achieved under different busy/idle levels and device states.

CN122453089APending Publication Date: 2026-07-24HUAQIN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUAQIN TECH CO LTD
Filing Date
2026-06-22
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing payment devices operate in a fixed mode after being powered on, resulting in high power consumption when used infrequently, which fails to effectively reduce energy consumption.

Method used

By acquiring sub-stage data, device status information, and a set of historical payment times at the start of the payment sub-stage, the payment peak and valley types are determined using a strategy generation model. Multiple initial scheduling strategies are generated, and latency and energy consumption are filtered to obtain the target scheduling strategy, so as to dynamically adjust the scheduling of payment business models, communication units, and hardware resources.

Benefits of technology

While ensuring payment processing efficiency and operational stability, dynamic scheduling strategies can reduce unnecessary resource consumption and equipment power consumption, and improve the adaptability and energy consumption control of payment devices.

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Abstract

The application relates to the computer technical field and provides a power consumption control method and device of a payment device, the payment device, a medium and a product. In the method, when the current time reaches the starting time of a payment sub-stage, the payment peak-valley type is determined according to the current time, the device user type and the historical payment time set; the payment sub-stage, the sub-stage data of the payment sub-stage and the device state information of the payment device are combined and input into a strategy generation model to obtain multiple initial scheduling strategies. The initial scheduling strategies are subjected to time delay screening and energy consumption screening according to the payment peak-valley type and the payment sub-stage to obtain a target scheduling strategy; and finally, the target scheduling strategy is run. According to the payment sub-stage, the sub-stage data, the payment peak-valley type and the device state information, multiple initial scheduling strategies are determined, and then the target scheduling strategy is obtained through screening, so that the power consumption of the target scheduling strategy is small, and the power consumption of the payment device can be reduced.
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